Sabina Tangaro

Scopus Publications

From networks of data to networks of care in clinical medicine: this is not artificial intelligence
Pierfrancesco Novielli, Roberto Bellotti, Mohamad Khalil, Piero Portincasa, Sabina Tangaro
European Journal of Internal Medicine, 2026
The increasing availability of clinical, omic, and imaging data in clinical medicine opens unprecedented opportunities to uncover hidden patterns and mechanistic insights into disease. Available tools augment clinical reasoning, equipping clinicians with new layers of understanding to support personalized treatment and transparent risk assessment. More tools are being implemented and will soon enter such a challenging field of study and application. Graph- and sequence-based Artificial Intelligence (AI) operating on these networks underpins the vision of precision medicine, enabling early diagnosis, disease staging, treatment selection, and transparent risk stratification. Crucially, eXplainable AI (XAI) methods attribute predictions to specific nodes and sub-networks (e.g., genes, proteins, metabolites, microbes, clinical features), aligning model outputs with clinical reasoning and regulatory expectations. Rather than replacing clinicians, these tools augment clinical attentiveness and insight by tailoring decisions to each patient's molecular and clinical profile. By modelling complexity in an interpretable way, AI and network science convert performance into practice. Internists must be prepared to face this rapidly growing technological challenge. Here, we explore how network-based modelling and XAI can enhance clinical reasoning by revealing emergent behaviors, stratification patterns, and novel interactions across biological systems.
Explainable AI-Based Hyperspectral Classification Reveals Differences in Spectral Response over Phenological Stages
Rameez Ahsen, Pierpaolo Di Bitonto, Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Martina Di Venosa, Anna Maria Stellacci, Nicola Amoroso, Alfonso Monaco, Bruno Basso, Roberto Bellotti, Sabina Tangaro
Biology, 2026
Optimizing nitrogen (N) fertilization is essential for sustaining durum wheat yield and grain quality while reducing the environmental impacts associated with N over-application. Hyperspectral sensing provides a rapid and non-destructive approach for monitoring crop N status. However, high-dimensional data, phenology-dependent spectral responses, and spatial autocorrelation in field measurements limit robust nitrogen classification and interpretation. This study evaluated hyperspectral-based nitrogen status classification in durum wheat under Mediterranean field conditions and identified key spectral regions using explainable artificial intelligence. A field experiment was conducted in Southern Italy using ten N fertilization rates (0–180 kg N ha−1). Canopy reflectance was acquired at the booting and heading stages from georeferenced sampling locations. Three nitrogen stratification strategies (binary Low–High, Extreme, and three-level) were evaluated using Random Forest, SVM-RBF, and XGBoost classifiers. Model performance was assessed using spatially independent Leave-One-Plot-Out cross-validation at both the sample and plot levels, with plot-level predictions derived through majority voting. Classification robustness was strongly influenced by the stratification strategy and phenological stage. The binary Low–High stratification achieved the highest sample-level accuracy, with a maximum of 0.78 at booting (SVM-RBF) and 0.75 at heading (SVM-RBF), whereas the Extreme stratification produced intermediate performance, with maximum accuracies of 0.73 at booting (SVM-RBF) and 0.63 at heading (XGBoost). Plot-level aggregation improved performance, reaching up to 0.90 at booting and 1.00 at heading. SHAP analysis highlighted red, red-edge, and near-infrared wavelengths as the dominant contributors, with increased reliance on longer wavelengths at the heading. Overall, explainable machine learning provides a robust framework for hyperspectral nitrogen monitoring in durum wheat.
High-Resolution NO2, O3, and PMs Estimation in Puglia: Leveraging AI and Explainability Techniques
Alessandro Fania, Giovanni Lorusso, Roberto Cilli, Nicola Amoroso, Maria Adamo, Mariella Aquilino, Loredana Bellantuono, Marica De Lucia, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Angela Morabito, Alessandra Nocioni, Ester Pantaleo, Roberto Primerano, Sabina Tangaro, Roberto Bellotti, Alfonso Monaco
Atmosphere, 2026
Air pollution remains a major environmental challenge, with severe impacts on human health and ecosystems. Recent advances in satellite technology have transformed air quality monitoring by enabling global, continuous observations of atmospheric pollutants. However, satellite data often lack the precision of ground-based stations. This study aims to develop a machine learning model to predict daily surface concentrations of key air pollutants (NO2, O3, PM10, and PM2.5) at high spatial resolution (300 m) in the Apulia region. Using Regional Environmental Protection Agency (ARPA) station data from 2019 to 2022 and meteorological, geographic, land-use, and temporal variables, we trained an XGBoost model on a 300 m grid. Model performance, assessed by repeated cross-validation, showed an average R2 of 0.71, with values of 0.77 for NO2, 0.78 for O3, 0.67 for PM2.5, and 0.64 for PM10. eXplainable AI (XAI) methods confirmed strong alignment with established scientific knowledge, enhancing model reliability and offering insights into pollutant distribution drivers.
Deep Learning for Tomato Ripeness Detection: A YOLO-Based Approach
Rameez Ahsen, Pierpaolo Di Bitonto, Michele Magarelli, Donato Romano, Pierfrancesco Novielli, Sabina Tangaro
Lecture Notes in Computer Science, 2026
Exponential random graph-based eXplainable Artificial Intelligence for Alzheimer disease
Nicola Amoroso, Ester Pantaleo, Marianna La Rocca, Loredana Bellantuono, Saverio Pascazio, Sabina Tangaro, Alfonso Monaco, Roberto Bellotti
Physical Review E, 2026
The use of statistical physics models to investigate real-world networks and reveal their underlying dynamics has shown promising results and acquired increasing attention. Here, we show how exponential random-graph (ERG) models can be suitably adopted to characterize how Alzheimer's disease (AD) affects brain connectivity. Magnetic-resonance imaging (MRI) of the brain was used to define a brain connectivity network whose nodes are the different brain regions, and the links indicate the pairwise structural relationships. Based on T1-weighted MRI brain scans of 126 normal controls (NC) and 92 AD patients, ERGs were able to outline both “global” and “local” disease patterns. Our findings demonstrate that ERGs accurately highlight how AD affects brain connectivity reaching an overall classification accuracy of 0.82 ± 0.08 . Besides, ERGs outline which regions of the brain are the most affected by the disease, thus proving to be a formidable instrument also to investigate the disease pathological mechanisms; more importantly, as these effects are evaluated at patient level, they can be exploited to design innovative diagnosis support systems or to provide a novel explainable framework for decision support systems. Finally, thanks to its generality, the approach proposed in this study paves the way for further applications and investigations inquiring into the use of ERGs for other diseases and different data sources or the use of alternative models.
Unlocking extra virgin olive oil identification: predicting ethyl esters with explainable AI on IR spectra
Michele Magarelli, Silvia Grassi, Giacomo Squeo, Pierfrancesco Novielli, Roberto Bellotti, Francesco Caponio, Cristina Alamprese, Sabina Tangaro
Food Chemistry, 2026
Hyperspectral Imaging and Machine Learning for Geographic Discrimination of Wheat Flours
Michele Magarelli, Florinda Artuso, Pierfrancesco Novielli, Alessandra Pasquo, Donato Romano, Pierpaolo Di Bitonto, Rameez Ahsen, Antonia Lai, Sabina Tangaro
Lecture Notes in Computer Science, 2026
Personalized colorectal cancer risk assessment through explainable AI and Gut microbiome profiling
Pierfrancesco Novielli, Simone Baldi, Donato Romano, Michele Magarelli, Domenico Diacono, Pierpaolo Di Bitonto, Giulia Nannini, Leandro Di Gloria, Roberto Bellotti, Amedeo Amedei, Sabina Tangaro
Gut Microbes, 2025
The clinical adenoma – carcinoma progression represents a well-established framework for understanding colorectal cancer (CRC) development, although the molecular mechanisms underlying this transition remain only partially understood. Increasing evidence suggests the gut microbiome (GM) as a key modulator of colorectal carcinogenesis, positioning microbial profiling as a promising avenue for noninvasive risk stratification and early detection. In this study, Machine Learning (ML) classifiers integrated with eXplainable Artificial Intelligence (XAI) techniques were employed to identify microbiome-derived biomarkers predictive of CRC and adenomatous lesions. The models were trained on 16S rRNA sequencing data from 453 patients and evaluated through cross-validation, achieving AU-ROC and AU-PRC scores of 0.71 and 0.67, respectively. External validation on an independent Italian cohort (n=43) yielded AU-ROC and AU-PRC scores of 0.70 and 0.89, respectively. XAI-based interpretation revealed consistent microbial signatures across datasets. In detail, taxa belonging to the Fusobacterium and Peptostreptococcus genera were associated with increased CRC risk, whereas the Eubacterium eligens group was identified as a robust negative predictor. Beyond classification, patient-level explanations enabled by XAI facilitated the identification of adenoma subgroups exhibiting microbiome profiles converging toward those of CRC, suggesting the presence of transitional microbial states. Moreover, SHAP-based interaction networks uncovered microbial hubs and inter-species dependencies characterizing high-risk configurations, providing insights into the ecological dynamics of colorectal tumorigenesis. These findings demonstrate the added XAI value in elucidating microbiome interactions, enhancing model interpretability, and supporting biologically informed hypotheses. This integrative, explainable framework highlights the potential of AI-driven microbiome analysis in precision oncology and advances the development of interpretable, noninvasive tools for CRC risk prediction and management.
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Jonathan L. Golob, Tomiko T. Oskotsky, Alice S. Tang, Alennie Roldan, Verena Chung, Connie W.Y. Ha, Ronald J. Wong, Kaitlin J. Flynn, Rong Chai, Claire Dubin, Antonio Parraga-Leo, Camilla Wibrand, Samuel S. Minot, Boris Oskotsky, Gaia Andreoletti, Idit Kosti, Julie Bletz, Amber Nelson, Jifan Gao, Zhoujingpeng Wei, Guanhua Chen, Zheng-Zheng Tang, Pierfrancesco Novielli, Donato Romano, Ester Pantaleo, Nicola Amoroso, Alfonso Monaco, Mirco Vacca, Maria De Angelis, Roberto Bellotti, Sabina Tangaro, Zehua Wang, Jiaming Yao, Akhil Goel, Jiangyue Mao, Huiqian Wang, Yuci Zhang, Ambuj Tewari, Abigail Kuntzleman, Isaac Bigcraft, Stephen Techtmann, Daehun Bae, Eunyoung Kim, Jongbum Jeon, Soobok Joe, Kevin R. Theis, Sherrianne Ng, Yun S. Lee, Patricia Diaz-Gimeno, Phillip R. Bennett, David A. MacIntyre, Gustavo Stolovitzky, Susan V. Lynch, Jake Albrecht, Nardhy Gomez-Lopez, Roberto Romero, David K. Stevenson, Nima Aghaeepour, Adi L. Tarca, James C. Costello, Marina Sirota
Cell Reports Medicine, 2025
Leveraging Explainable Artificial Intelligence for Genotype-to-Phenotype Prediction: A Case Study in Arabidopsis thaliana
Pierfrancesco Novielli, Nelson Nazzicari, Stefano Pavan, Chiara Delvento, Domenico Diacono, Claudia Zoani, Roberto Bellotti, Sabina Tangaro
Applied System Innovation, 2025
Predicting phenotypes from genomic data can significantly advance agriculture. Genomic selection, which uses genome-wide DNA markers to identify individuals with high genetic value, enhances the accuracy of breeding programs. While linear models are routinely used for genomic selection (GS), machine learning (ML) models offer complementary potential. In this study, robust ML-based models were developed to predict five phenotypic traits—three related to flowering time and two to leaf number—in Arabidopsis thaliana, a model plant with a fully sequenced genome. Using explainable artificial intelligence (XAI), specifically SHapley Additive exPlanations (SHAP) values, we identified SNPs that contributed most to trait prediction. Many of these SNPs were located in or near genes known to regulate flowering and stem elongation, such as DOG1 and VIN3, supporting the biological plausibility of the model. SHAP also enabled local interpretability at the single-plant level, revealing the genotypic basis of individual predictions. Our results indicate that integrating ML with XAI improves model interpretability and provides predictive performance comparable to traditional methods. This approach confirms known genotype–phenotype relationships and highlights new candidate loci, paving the way for functional validation. The proposed methodology offers promising applications in precision breeding and translation of insights from Arabidopsis to crop species.
Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation
Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro
Scientific Reports, 2025
Automated olive grove classification and tree counting in very high resolution aerial imagery using deep learning
Ester Pantaleo, Vincenzo Giannico, Roberto Cilli, Salvatore Camposeo, Mario Elia, Raffaele Lafortezza, Alfonso Monaco, Giovanni Sanesi, Sabina Tangaro, Roberto Bellotti, Gaetano Alessandro Vivaldi, Nicola Amoroso
Smart Agricultural Technology, 2025
A joint complex network and machine learning approach for the identification of discriminative gene communities in autistic brain
Antonio Lacalamita, Ester Pantaleo, Alfonso Monaco, Loredana Bellantuono, Alessandro Fania, Marianna La Rocca, Tommaso Maggipinto, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti
Plos One, 2025
Unveiling complex patterns: An information-theoretic approach to high-order behaviors in microarray data
Antonio Lacalamita, Alfonso Monaco, Grazia Serino, Daniele Marinazzo, Nicola Amoroso, Loredana Bellantuono, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Emanuele Piccinno, Viviana Scalavino, Sabina Tangaro, Gianluigi Giannelli, Sebastiano Stramaglia, Roberto Bellotti
Plos One, 2025
Transfer Entropy and O-Information to Detect Grokking in Tensor Network Multi-Class Classification Problems
Domenico Pomarico, Roberto Cilli, Alfonso Monaco, Loredana Bellantuono, Marianna La Rocca, Tommaso Maggipinto, Giuseppe Magnifico, Marlis Ontivero Ortega, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti, Nicola Amoroso
Technologies, 2025
Data-driven assessment of Apulian road network resilience: Bridge unavailability and inner municipality isolation impact
Niloofar Kheirkhahan, Loredana Bellantuono, Nicola Amoroso, Roberto Cilli, Lorenzo De Biase, Valentina Lucaferri, Alfonso Monaco, Chiara Ormando, Ester Pantaleo, Domenico Pomarico, Sabina Tangaro, Alberto Tofani, Roberto Bellotti
Plos One, 2025
An Italian Patent Multi-Label Classification System to Support the Innovation Demand and Supply Matching
Nicola Amoroso, Annamaria Demarinis Loiotile, Ester Pantaleo, Giuseppe Conti, Shiva Loccisano, Sabina Tangaro, Alfonso Monaco, Roberto Bellotti
Sustainability Switzerland, 2025
Vertical Dense Jets in Crossflows: A Preliminary Study with Lattice Boltzmann Methods
Maria Grazia Giordano, Jérôme Jacob, Piergiorgio Fusco, Sabina Tangaro, Daniela Malcangio
Fluids, 2025
Network assortativity for a multidimensional evaluation of socio-economic territorial biases in university rankings
Loredana Bellantuono, Andrea Lo Sasso, Nicola Amoroso, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Plos One, 2025
Predictive and Explainable Machine Learning Models for Endocrine, Nutritional, and Metabolic Mortality in Italy Using Geolocalized Pollution Data
Donato Romano, Michele Magarelli, Pierfrancesco Novielli, Domenico Diacono, Pierpaolo Di Bitonto, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Applied System Innovation, 2025
Harnessing Digital Twins for Sustainable Agricultural Water Management: A Systematic Review
Rameez Ahsen, Pierpaolo Di Bitonto, Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Domenico Diacono, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro
Applied Sciences Switzerland, 2025
Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma
Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti
Discover Applied Sciences, 2025
Measuring water pollution effects on antimicrobial resistance through explainable artificial intelligence
Alfonso Monaco, Mario Caruso, Loredana Bellantuono, Roberto Cazzolla Gatti, Alessandro Fania, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti
Environmental Pollution, 2025
Bridging Structural and Functional Imaging: Integrated PET/CT Radiomics with Explainable Machine Learning
Ceur Workshop Proceedings, 2025
Explainable artificial intelligence advances breath analysis for monitoring Crohn’s disease
Lo Sasso A., Bellantuono L., Monaco A., Amoroso N., Tangaro S., et al.
Nuovo Cimento Della Societa Italiana Di Fisica C, 2025
Time Sensitive and Oversampling Learning for Systemic Crisis Forecasting
Francesco De Nicolò, Marianna La Rocca, Antonio Marrone, Alfonso Monaco, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti
New Economic Windows, 2025
Data-Driven Innovations in Food Safety: The Role of AI and Big Data in METROFOOD-IT
Michele Magarelli, Pierpaolo Di Bitonto, Donato Romano, Pierfrancesco Novielli, Rameez Ahsen, Claudia Zoani, Roberto Bellotti, Sabina Tangaro
2025 IEEE International Workshop on Metrology for Industry 4 0 and Iot Metroind4 0 and Iot 2025 Proceedings, 2025
Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence
Gabriele De Carolis, Vincenzo Giannico, Leonardo Costanza, Francesca Ardito, Anna Maria Stellacci, Afwa Thameur, Sergio Ruggieri, Sabina Tangaro, Marcello Mastrorilli, Nicola Sanitate, Simone Pietro Garofalo
Agronomy, 2025
Machine learning and XAI approaches highlight the strong connection between O3 and NO2 pollutants and Alzheimer’s disease
Alessandro Fania, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Roberto Cazzolla Gatti, Najada Firza, Antonio Lacalamita, Ester Pantaleo, Sabina Tangaro, Alena Velichevskaya, Roberto Bellotti
Scientific Reports, 2024
Robust machine learning challenge: An AIFM multicentric competition to spread knowledge, identify common pitfalls and recommend best practice
Michele Maddalo, Annarita Fanizzi, Nicola Lambri, Emiliano Loi, Marco Branchini, Leda Lorenzon, Alessia Giuliano, Leonardo Ubaldi, Sara Saponaro, Michele Signoriello, Federico Fadda, Gina Belmonte, Marco Giannelli, Cinzia Talamonti, Mauro Iori, Sabina Tangaro, Raffaella Massafra, Pietro Mancosu, Michele Avanzo
Physica Medica, 2024
Personalized identification of autism-related bacteria in the gut microbiome using explainable artificial intelligence
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, Domenico Diacono, Alfonso Monaco, Nicola Amoroso, Mirco Vacca, Maria De Angelis, Roberto Bellotti, Sabina Tangaro
Iscience, 2024
Climate Change and Soil Health: Explainable Artificial Intelligence Reveals Microbiome Response to Warming
Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Lorenzo de Trizio, Pierpaolo Di Bitonto, Alfonso Monaco, Nicola Amoroso, Anna Maria Stellacci, Claudia Zoani, Roberto Bellotti, Sabina Tangaro
Machine Learning and Knowledge Extraction, 2024
Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study
Annarita Fanizzi, Federico Fadda, Michele Maddalo, Sara Saponaro, Leda Lorenzon, Leonardo Ubaldi, Nicola Lambri, Alessia Giuliano, Emiliano Loi, Michele Signoriello, Marco Branchini, Gina Belmonte, Marco Giannelli, Pietro Mancosu, Cinzia Talamonti, Mauro Iori, Sabina Tangaro, Michele Avanzo, Raffaella Massafra
Plos One, 2024
Tackling the small data problem in medical image classification with artificial intelligence: a systematic review
Stefano Piffer, Leonardo Ubaldi, Sabina Tangaro, Alessandra Retico, Cinzia Talamonti
Progress in Biomedical Engineering, 2024
Insights from Explainable Artificial Intelligence of Pollution and Socioeconomic Influences for Respiratory Cancer Mortality in Italy
Donato Romano, Pierfrancesco Novielli, Domenico Diacono, Roberto Cilli, Ester Pantaleo, Nicola Amoroso, Loredana Bellantuono, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Journal of Personalized Medicine, 2024
Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data
Alessandro Fania, Alfonso Monaco, Ester Pantaleo, Tommaso Maggipinto, Loredana Bellantuono, Roberto Cilli, Antonio Lacalamita, Marianna La Rocca, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti
Remote Sensing, 2024
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
Jonathan L. Golob, Tomiko T. Oskotsky, Alice S. Tang, Alennie Roldan, Verena Chung, Connie W.Y. Ha, Ronald J. Wong, Kaitlin J. Flynn, Antonio Parraga-Leo, Camilla Wibrand, Samuel S. Minot, Boris Oskotsky, Gaia Andreoletti, Idit Kosti, Julie Bletz, Amber Nelson, Jifan Gao, Zhoujingpeng Wei, Guanhua Chen, Zheng-Zheng Tang, Pierfrancesco Novielli, Donato Romano, Ester Pantaleo, Nicola Amoroso, Alfonso Monaco, Mirco Vacca, Maria De Angelis, Roberto Bellotti, Sabina Tangaro, Abigail Kuntzleman, Isaac Bigcraft, Stephen Techtmann, Daehun Bae, Eunyoung Kim, Jongbum Jeon, Soobok Joe, Kevin R. Theis, Sherrianne Ng, Yun S. Lee, Patricia Diaz-Gimeno, Phillip R. Bennett, David A. MacIntyre, Gustavo Stolovitzky, Susan V. Lynch, Jake Albrecht, Nardhy Gomez-Lopez, Roberto Romero, David K. Stevenson, Nima Aghaeepour, Adi L. Tarca, James C. Costello, Marina Sirota
Cell Reports Medicine, 2024
Air pollution and mortality for cancer of the respiratory system in Italy: an explainable artificial intelligence approach
Donato Romano, Pierfrancesco Novielli, Roberto Cilli, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Frontiers in Public Health, 2024
Securing origin integrity through Machine Learning analysis of Mozzarella di Bufala PDO Microbiome
Michele Magarelli, Pierpaolo Di Bitonto, Francesca De Filippis, Pierfrancesco Novielli, Raffaele Magliulo, Domenico Diacono, Roberto Bellotti, Sabina Tangaro
2024 IEEE International Workshop on Metrology for Industry 4 0 and Iot Metroind4 0 and Iot 2024 Proceedings, 2024
Explainable artificial intelligence and microbiome data for food geographical origin: the Mozzarella di Bufala Campana PDO Case of Study
Michele Magarelli, Pierfrancesco Novielli, Francesca De Filippis, Raffaele Magliulo, Pierpaolo Di Bitonto, Domenico Diacono, Roberto Bellotti, Sabina Tangaro
Frontiers in Microbiology, 2024
Explainable artificial intelligence for genotype-to-phenotype prediction in plant breeding: a case study with a dataset from an almond germplasm collection
Pierfrancesco Novielli, Donato Romano, Stefano Pavan, Pasquale Losciale, Anna Maria Stellacci, Domenico Diacono, Roberto Bellotti, Sabina Tangaro
Frontiers in Plant Science, 2024
METROFOOD-IT: A data platform proposal using Agrifood Smart Data Model
Pierpaolo Di Bitonto, Lorenzo De Trizio, Michele Magarelli, Domenico Diacono, Pierfrancesco Novielli, Donato Romano, Claudia Zoani, Roberto Bellotti, Sabina Tangaro
2024 IEEE International Workshop on Metrology for Industry 4 0 and Iot Metroind4 0 and Iot 2024 Proceedings, 2024
Precision Agriculture: Integrating Sensors for Weed Detection using Machine Learning in Agriculture Fields
Rameez Ahsen, Pierpaolo Di Bitonto, Lorenzo De Trizio, Michele Magarelli, Donato Romano, Pierfrancesco Novielli, Domenico Diacono, Sabina Tangaro, Roberto Bellotti
2024 7th IEEE International Humanitarian Technologies Conference Ihtc 2024, 2024
Innovative Virtual Reality Based Training in the Agri-Food Sector: Insights from METROFOOD-IT
Pierpaolo Di Bitonto, Lorenzo De Trizio, Michele Magarelli, Donato Romano, Pierfrancesco Novielli, Rameez Ahsen, Cesare Manetti, Claudia Zoani, Giovanni Sanesi, Maria De Angelis, Roberto Bellotti, Sabina Tangaro
2024 7th IEEE International Humanitarian Technologies Conference Ihtc 2024, 2024
From data to nutrition: the impact of computing infrastructure and artificial intelligence
Pierpaolo Di Bitonto, Michele Magarelli, Pierfrancesco Novielli, Donato Romano, Domenico Diacono, Lorenzo de Trizio, Angelo Mariano, Claudia Zoani, Riccardo Ferrero, Alessandra Manzin, Maria De Angelis, Roberto Bellotti, Sabina Tangaro
Exploration of Foods and Foodomics, 2024
Explainable artificial intelligence for microbiome data analysis in colorectal cancer biomarker identification
Pierfrancesco Novielli, Donato Romano, Michele Magarelli, Pierpaolo Di Bitonto, Domenico Diacono, Annalisa Chiatante, Giuseppe Lopalco, Daniele Sabella, Vincenzo Venerito, Pasquale Filannino, Roberto Bellotti, Maria De Angelis, Florenzo Iannone, Sabina Tangaro
Frontiers in Microbiology, 2024
Unraveling the microbiome-metabolome nexus: a comprehensive study protocol for personalized management of Behçet’s disease using explainable artificial intelligence
Sabina Tangaro, Giuseppe Lopalco, Daniele Sabella, Vincenzo Venerito, Pierfrancesco Novielli, Donato Romano, Alessia Di Gilio, Jolanda Palmisani, Gianluigi de Gennaro, Pasquale Filannino, Rosanna Latronico, Roberto Bellotti, Maria De Angelis, Florenzo Iannone
Frontiers in Microbiology, 2024
Deep learning approach for denoising low-SNR correlation plenoptic images
Francesco Scattarella, Domenico Diacono, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Gianlorenzo Massaro, Francesco V. Pepe, Sabina Tangaro, Roberto Bellotti, Milena D’Angelo
Scientific Reports, 2023
A Dementia mortality rates dataset in Italy (2012–2019)
Alessandro Fania, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Roberto Cazzolla Gatti, Najada Firza, Antonio Lacalamita, Ester Pantaleo, Sabina Tangaro, Alena Velichevskaya, Roberto Bellotti
Scientific Data, 2023
An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis
Loredana Bellantuono, Raffaele Tommasi, Ester Pantaleo, Martina Verri, Nicola Amoroso, Pierfilippo Crucitti, Michael Di Gioacchino, Filippo Longo, Alfonso Monaco, Anda Mihaela Naciu, Andrea Palermo, Chiara Taffon, Sabina Tangaro, Anna Crescenzi, Armida Sodo, Roberto Bellotti
Scientific Reports, 2023
Artificial Intelligence and Complex Network Approaches Reveal Potential Gene Biomarkers for Hepatocellular Carcinoma
Antonio Lacalamita, Grazia Serino, Ester Pantaleo, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Emanuele Piccinno, Viviana Scalavino, Francesco Dituri, Sabina Tangaro, Roberto Bellotti, Gianluigi Giannelli
International Journal of Molecular Sciences, 2023
PSI Spatially Constrained Clustering: The Sibari and Metaponto Coastal Plains
Nicola Amoroso, Roberto Cilli, Davide Oscar Nitti, Raffaele Nutricato, Muzaffer Can Iban, Tommaso Maggipinto, Sabina Tangaro, Alfonso Monaco, Roberto Bellotti
Remote Sensing, 2023
An eXplainability Artificial Intelligence approach to brain connectivity in Alzheimer's disease
Nicola Amoroso, Silvano Quarto, Marianna La Rocca, Sabina Tangaro, Alfonso Monaco, Roberto Bellotti
Frontiers in Aging Neuroscience, 2023
Innovations and Emerging Technologies: A Study of the Italian Intellectual Property Knowledge Database
Annamaria Demarinis Loiotile, Francesco De Nicolò, Alfonso Monaco, Sabina Tangaro, Shiva Loccisano, Giuseppe Conti, Adriana Agrimi, Nicola Amoroso, Roberto Bellotti
International Conference on Agents and Artificial Intelligence, 2023
The verbalization of numbers: An explainable framework for tourism online reviews
Francesco De Nicolò, Loredana Bellantuono, Dario Borzì, Matteo Bregonzio, Roberto Cilli, Leone De Marco, Angela Lombardi, Ester Pantaleo, Luca Petruzzellis, Ariona Shashaj, Sabina Tangaro, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti
International Journal of Engineering Business Management, 2023
Machine learning approaches in microbiome research: challenges and best practices
Georgios Papoutsoglou, Sonia Tarazona, Marta B. Lopes, Thomas Klammsteiner, Eliana Ibrahimi, Julia Eckenberger, Pierfrancesco Novielli, Alberto Tonda, Andrea Simeon, Rajesh Shigdel, Stéphane Béreux, Giacomo Vitali, Sabina Tangaro, Leo Lahti, Andriy Temko, Marcus J. Claesson, Magali Berland
Frontiers in Microbiology, 2023
Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis
Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Antonio Lacalamita, Ester Pantaleo, Sabina Tangaro, Roberto Bellotti
Frontiers in Big Data, 2022
Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework
Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Vincenzo Aquaro, Angela Lombardi, Sabina Tangaro, Roberto Bellotti
Applied Network Science, 2022
Territorial bias in university rankings: a complex network approach
Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Vincenzo Aquaro, Marco Bardoscia, Annamaria Demarinis Loiotile, Angela Lombardi, Sabina Tangaro, Roberto Bellotti
Scientific Reports, 2022
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer’s Disease
Angela Lombardi, Domenico Diacono, Nicola Amoroso, Przemysław Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro, Roberto Bellotti
Brain Informatics, 2022
Explainable artificial intelligence (XAI) detects wildfire occurrence in the Mediterranean countries of Southern Europe
Roberto Cilli, Mario Elia, Marina D’Este, Vincenzo Giannico, Nicola Amoroso, Angela Lombardi, Ester Pantaleo, Alfonso Monaco, Giovanni Sanesi, Sabina Tangaro, Roberto Bellotti, Raffaele Lafortezza
Scientific Reports, 2022
Best Practices in Knowledge Transfer: Insights from Top Universities
Annamaria Demarinis Loiotile, Francesco De Nicolò, Adriana Agrimi, Loredana Bellantuono, Marianna La Rocca, Alfonso Monaco, Ester Pantaleo, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti
Sustainability Switzerland, 2022
The impact of harmonization on radiomic features in Parkinson’s disease and healthy controls: A multicenter study
Benedetta Tafuri, Angela Lombardi, Salvatore Nigro, Daniele Urso, Alfonso Monaco, Ester Pantaleo, Domenico Diacono, Roberto De Blasi, Roberto Bellotti, Sabina Tangaro, Giancarlo Logroscino
Frontiers in Neuroscience, 2022
Territorial Development as an Innovation Driver: A Complex Network Approach
Francesco De Nicolò, Alfonso Monaco, Giuseppe Ambrosio, Loredana Bellantuono, Roberto Cilli, Ester Pantaleo, Sabina Tangaro, Flaviano Zandonai, Nicola Amoroso, Roberto Bellotti
Applied Sciences Switzerland, 2022
The Use and Utility of Machine Learning in Achieving Precision Medicine in Systemic Sclerosis: A Narrative Review
Francesco Bonomi, Silvia Peretti, Gemma Lepri, Vincenzo Venerito, Edda Russo, Cosimo Bruni, Florenzo Iannone, Sabina Tangaro, Amedeo Amedei, Serena Guiducci, Marco Matucci Cerinic, Silvia Bellando Randone
Journal of Personalized Medicine, 2022
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer
Angela Lombardi, Nicola Amoroso, Loredana Bellantuono, Samantha Bove, Maria Colomba Comes, Annarita Fanizzi, Daniele La Forgia, Vito Lorusso, Alfonso Monaco, Sabina Tangaro, Francesco Alfredo Zito, Roberto Bellotti, Raffaella Massafra
Applied Sciences Switzerland, 2022
A Machine Learning Approach to Predict Remission in Patients With Psoriatic Arthritis on Treatment With Secukinumab
Vincenzo Venerito, Giuseppe Lopalco, Anna Abbruzzese, Sergio Colella, Maria Morrone, Sabina Tangaro, Florenzo Iannone
Frontiers in Immunology, 2022
A Machine Learning Approach to Parkinson’s Disease Blood Transcriptomics
Ester Pantaleo, Alfonso Monaco, Nicola Amoroso, Angela Lombardi, Loredana Bellantuono, Daniele Urso, Claudio Lo Giudice, Ernesto Picardi, Benedetta Tafuri, Salvatore Nigro, Graziano Pesole, Sabina Tangaro, Giancarlo Logroscino, Roberto Bellotti
Genes, 2022
Validity of Machine Learning in Predicting Giant Cell Arteritis Flare After Glucocorticoids Tapering
Vincenzo Venerito, Giacomo Emmi, Luca Cantarini, Pietro Leccese, Marco Fornaro, Claudia Fabiani, Nancy Lascaro, Laura Coladonato, Irene Mattioli, Giulia Righetti, Danilo Malandrino, Sabina Tangaro, Adalgisa Palermo, Maria Letizia Urban, Edoardo Conticini, Bruno Frediani, Florenzo Iannone, Giuseppe Lopalco
Frontiers in Immunology, 2022
Satellite data and machine learning reveal a significant correlation between NO2 and COVID-19 mortality
Nicola Amoroso, Roberto Cilli, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Environmental Research, 2022
Lattice Boltzmann Methods for a Dense Vertical Jet in a Channel
Proceedings of the IAHR World Congress, 2022
Multi-site harmonization of MRI data uncovers machine-learning discrimination capability in barely separable populations: An example from the ABIDE dataset
Sara Saponaro, Alessia Giuliano, Roberto Bellotti, Angela Lombardi, Sabina Tangaro, Piernicola Oliva, Sara Calderoni, Alessandra Retico
Neuroimage Clinical, 2022
PSInSAR Monitoring of Coastal Cliffs at Torre a Mare, Apulia, Italy
Nicola Amoroso, Roberto Cilli, Daniela Iasillo, Vincenzo Massimi, Alfonso Monaco, Davide Oscar Nitti, Raffaele Nutricato, Sabina Tangaro, Alberto Refice, Antonio Zilli, Roberto Bellotti
2022 IEEE Mediterranean and Middle East Geoscience and Remote Sensing Symposium M2garss 2022 Proceedings, 2022
Editorial: Explainable Artificial Intelligence (XAI) in Systems Neuroscience
Angela Lombardi, João Manuel R. S. Tavares, Sabina Tangaro
Frontiers in Systems Neuroscience, 2021
Random forests highlight the combined effect of environmental heavy metals exposure and genetic damages for cardiovascular diseases
Alfonso Monaco, Antonio Lacalamita, Nicola Amoroso, Armando D’Orta, Andrea Del Buono, Francesco di Tuoro, Sabina Tangaro, Aldo Innocente Galeandro, Roberto Bellotti
Applied Sciences Switzerland, 2021
Exploring the oral microbiome in rheumatic diseases, state of art and future prospective in personalized medicine with an ai approach
Silvia Bellando-Randone, Edda Russo, Vincenzo Venerito, Marco Matucci-Cerinic, Florenzo Iannone, Sabina Tangaro, Amedeo Amedei
Journal of Personalized Medicine, 2021
Explainable Deep Learning for Personalized Age Prediction With Brain Morphology
Angela Lombardi, Domenico Diacono, Nicola Amoroso, Alfonso Monaco, João Manuel R. S. Tavares, Roberto Bellotti, Sabina Tangaro
Frontiers in Neuroscience, 2021
Complex network modelling of origin–destination commuting flows for the COVID-19 epidemic spread analysis in Italian Lombardy Region
Angela Lombardi, Nicola Amoroso, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Applied Sciences Switzerland, 2021
A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results
Raffaella Massafra, Agnese Latorre, Annarita Fanizzi, Roberto Bellotti, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Annalisa Nardone, Maria Pastena, Cosmo Maurizio Ressa, Lucia Rinaldi, Anna Orsola Maria Russo, Pasquale Tamborra, Sabina Tangaro, Alfredo Zito, Vito Lorusso
Frontiers in Oncology, 2021
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Michele Avanzo, Massimiliano Porzio, Leda Lorenzon, Lisa Milan, Roberto Sghedoni, Giorgio Russo, Raffaella Massafra, Annarita Fanizzi, Andrea Barucci, Veronica Ardu, Marco Branchini, Marco Giannelli, Elena Gallio, Savino Cilla, Sabina Tangaro, Angela Lombardi, Giovanni Pirrone, Elena De Martin, Alessia Giuliano, Gina Belmonte, Serenella Russo, Osvaldo Rampado, Giovanni Mettivier
Physica Medica, 2021
Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019
Angela Lombardi, Alfonso Monaco, Giacinto Donvito, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro
Frontiers in Psychiatry, 2021
Predicting brain age with complex networks: From adolescence to adulthood
Loredana Bellantuono, Luca Marzano, Marianna La Rocca, Dominique Duncan, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Nicola Amoroso, Roberto Bellotti
Neuroimage, 2021
Identifying potential gene biomarkers for Parkinson's disease through an information entropy based approach
A Monaco, E Pantaleo, N Amoroso, L Bellantuono, A Lombardi, A Tateo, S Tangaro, R Bellotti
Physical Biology, 2021
A primer on machine learning techniques for genomic applications
Alfonso Monaco, Ester Pantaleo, Nicola Amoroso, Antonio Lacalamita, Claudio Lo Giudice, Adriano Fonzino, Bruno Fosso, Ernesto Picardi, Sabina Tangaro, Graziano Pesole, Roberto Bellotti
Computational and Structural Biotechnology Journal, 2021
Multi-time-scale features for accurate respiratory sound classification
Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Ester Pantaleo, Sabina Tangaro, Roberto Bellotti
Applied Sciences Switzerland, 2020
An equity-oriented rethink of global rankings with complex networks mapping development
Loredana Bellantuono, Alfonso Monaco, Sabina Tangaro, Nicola Amoroso, Vincenzo Aquaro, Roberto Bellotti
Scientific Reports, 2020
Potential energy of complex networks: a quantum mechanical perspective
Nicola Amoroso, Loredana Bellantuono, Saverio Pascazio, Angela Lombardi, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Scientific Reports, 2020
Psi clustering for the assessment of underground infrastructure deterioration
Nicola Amoroso, Roberto Cilli, Loredana Bellantuono, Vincenzo Massimi, Alfonso Monaco, Davide Oscar Nitti, Raffaele Nutricato, Sergio Samarelli, Niccolò Taggio, Sabina Tangaro, Andrea Tateo, Luciano Guerriero, Roberto Bellotti
Remote Sensing, 2020
Association between structural connectivity and generalized cognitive spectrum in alzheimer’s disease
Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Giancarlo Logroscino, Roberto De Blasi, Roberto Bellotti, Sabina Tangaro
Brain Sciences, 2020
Mapping digital governance projects through complex networks
Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Sabina Tangaro, Vincenzo Aquaro, Roberto Bellotti
ACM International Conference Proceeding Series, 2020
Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome
Daniele La Forgia, Annarita Fanizzi, Francesco Campobasso, Roberto Bellotti, Vittorio Didonna, Vito Lorusso, Marco Moschetta, Raffaella Massafra, Pasquale Tamborra, Sabina Tangaro, Michele Telegrafo, Maria Irene Pastena, Alfredo Zito
Diagnostics, 2020
Machine learning for cloud detection of globally distributed sentinel-2 images
Roberto Cilli, Alfonso Monaco, Nicola Amoroso, Andrea Tateo, Sabina Tangaro, Roberto Bellotti
Remote Sensing, 2020
Extensive evaluation of morphological statistical harmonization for brain age prediction
Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Brain Sciences, 2020
Individual topological analysis of synchronization-based brain connectivity
Angela Lombardi, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Applied Sciences Switzerland, 2020
Breath analysis for early detection of malignant pleural mesothelioma: Volatile organic compounds (VOCs) determination and possible biochemical pathways
Alessia Di Gilio, Annamaria Catino, Angela Lombardi, Jolanda Palmisani, Laura Facchini, Teresa Mongelli, Niccolò Varesano, Roberto Bellotti, Domenico Galetta, Gianluigi de Gennaro, Sabina Tangaro
Cancers, 2020
Elite VABB 13G: A new ultrasound-guided wireless biopsy system for breast lesions. Technical characteristics and comparison with respect to traditional core-biopsy 14-16g systems
Daniele La Forgia, Alfonso Fausto, Gianluca Gatta, Graziella Di Grezia, Angela Faggian, Annarita Fanizzi, Daniela Cutrignelli, Rosalba Dentamaro, Vittorio Didonna, Vito Lorusso, Raffaella Massafra, Sabina Tangaro, Maria Antonietta Mazzei
Diagnostics, 2020
A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis
Annarita Fanizzi, Teresa M. A. Basile, Liliana Losurdo, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia
BMC Bioinformatics, 2020
Machine learning and DWI brain communicability networks for Alzheimer's disease detection
Eufemia Lella, Angela Lombardi, Nicola Amoroso, Domenico Diacono, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Applied Sciences Switzerland, 2020
Shannon entropy approach reveals relevant genes in Alzheimer's disease
Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Eufemia Lella, Angela Lombardi, Anna Monda, Andrea Tateo, Roberto Bellotti, Sabina Tangaro
Plos One, 2019
Ensemble discretewavelet transform and gray-level co-occurrence matrix for microcalcification cluster classification in digital mammography
Annarita Fanizzi, Teresa Maria Basile, Liliana Losurdo, Roberto Bellotti, Ubaldo Bottigli, Francesco Campobasso, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Alberto Tagliafico, Pasquale Tamborra, Sabina Tangaro, Vito Lorusso, Daniele La Forgia
Applied Sciences Switzerland, 2019
Multiplex networks for early diagnosis of Alzheimer’s disease
Nicola Amoroso, Marianna La Rocca, Stefania Bruno, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Frontiers in Aging Neuroscience, 2019
Radiomics analysis on contrast-enhanced spectral mammography images for breast cancer diagnosis: A pilot study
Liliana Losurdo, Annarita Fanizzi, Teresa Maria A. Basile, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Vito Lorusso, Raffaella Massafra, Pasquale Tamborra, Alberto Tagliafico, Sabina Tangaro, Daniele La Forgia
Entropy, 2019
Assessment of network module identification across complex diseases
The DREAM Module Identification Challenge Consortium, Sarvenaz Choobdar, Mehmet E. Ahsen, Jake Crawford, Mattia Tomasoni, Tao Fang, David Lamparter, Junyuan Lin, Benjamin Hescott, Xiaozhe Hu, Johnathan Mercer, Ted Natoli, Rajiv Narayan, Aravind Subramanian, Jitao D. Zhang, Gustavo Stolovitzky, Zoltán Kutalik, Kasper Lage, Donna K. Slonim, Julio Saez-Rodriguez, Lenore J. Cowen, Sven Bergmann, Daniel Marbach
Nature Methods, 2019
Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system
T.M.A. Basile, A. Fanizzi, L. Losurdo, R. Bellotti, U. Bottigli, R. Dentamaro, V. Didonna, A. Fausto, R. Massafra, M. Moschetta, P. Tamborra, S. Tangaro, D. La Forgia
Physica Medica, 2019
Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes
Angela Lombardi, Cataldo Guaragnella, Nicola Amoroso, Alfonso Monaco, Leonardo Fazio, Paolo Taurisano, Giulio Pergola, Giuseppe Blasi, Alessandro Bertolino, Roberto Bellotti, Sabina Tangaro
Neuroimage, 2019
Fully automated support system for diagnosis of breast cancer in contrast-enhanced spectral mammography images
Annarita Fanizzi, Liliana Losurdo, Teresa Maria A. Basile, Roberto Bellotti, Ubaldo Bottigli, Pasquale Delogu, Domenico Diacono, Vittorio Didonna, Alfonso Fausto, Angela Lombardi, Vito Lorusso, Raffaella Massafra, Sabina Tangaro, Daniele La Forgia
Journal of Clinical Medicine, 2019
Communicability characterization of structural DWI subcortical networks in Alzheimer's disease
Eufemia Lella, Nicola Amoroso, Domenico Diacono, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Entropy, 2019
Thalamic connectivity measured with fMRI is associated with a polygenic index predicting thalamo-prefrontal gene co-expression
Linda A. Antonucci, Pasquale Di Carlo, Roberta Passiatore, Marco Papalino, Anna Monda, Nicola Amoroso, Sabina Tangaro, Paolo Taurisano, Antonio Rampino, Fabio Sambataro, Teresa Popolizio, Alessandro Bertolino, Giulio Pergola, Giuseppe Blasi
Brain Structure and Function, 2019
The PERSON project: a serious brain-computer interface game for treatment in cognitive impairment
Alfonso Monaco, Gianluca Sforza, Nicola Amoroso, Marica Antonacci, Roberto Bellotti, Marina de Tommaso, Pierpaolo Di Bitonto, Eugenio Di Sciascio, Domenico Diacono, Eleonora Gentile, Anna Montemurno, Michele Ruta, Antonio Ulloa, Sabina Tangaro
Health and Technology, 2019
Association between miRNAs expression and cognitive performances of Pediatric Multiple Sclerosis patients: A pilot study
Maria Liguori, Nicoletta Nuzziello, Marta Simone, Nicola Amoroso, Rosa Gemma Viterbo, Sabina Tangaro, Arianna Consiglio, Paola Giordano, Roberto Bellotti, Maria Trojano
Brain and Behavior, 2019
Age Related topological analysis of synchronization-based functional connectivity
Angela Lombardi, Nicola Amoroso, Domenico Diacono, Eufemia Lella, Roberto Bellotti, Sabina Tangaro
Studies in Computational Intelligence, 2019
Multidimensional neuroimaging processing in ReCaS datacenter
Angela Lombardi, Eufemia Lella, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2019
Cross Recurrence Quantitative Analysis of Functional Magnetic Resonance Imaging
A. Lombardi, E. Lella, D. Diacono, N. Amoroso, A. Monaco, R. Bellotti, S. Tangaro
Lecture Notes in Computational Vision and Biomechanics, 2019
Applications of PDEs inpainting to magnetic particle imaging and corneal topography
Andrea Andrisani, Rosa Maria Mininni, Francesca Mazzia, Giuseppina Settanni, Alessandro Iurino, Sabina Tangaro, Andrea Tateo, Roberto Bellotti
Opuscula Mathematica, 2019
Role of the contrast-enhanced spectral mammography for the diagnosis of breast metastases from extramammary neoplasms
Journal of B U on, 2019
Deep learning and multiplex networks for accurate modeling of brain age
Nicola Amoroso, Marianna La Rocca, Loredana Bellantuono, Domenico Diacono, Annarita Fanizzi, Eufemia Lella, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Sabina Tangaro, Roberto Bellotti
Frontiers in Aging Neuroscience, 2019
Salient networks: a novel application to study Alzheimer disease
The Alzheimer’s Disease Neuroimaging Initiative, Nicola Amoroso, Domenico Diacono, Marianna La Rocca, Roberto Bellotti, Sabina Tangaro
Biomedical Engineering Online, 2018
Complex networks reveal early MRI markers of Parkinson's disease
Nicola Amoroso, Marianna La Rocca, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Medical Image Analysis, 2018
A novel approach to brain connectivity reveals early structural changes in Alzheimer's disease
Marianna La Rocca, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro, Alzheimer’s Disease Neuroimaging Initiative
Physiological Measurement, 2018
Communicability disruption in Alzheimer's disease connectivity networks
Eufemia Lella, Nicola Amoroso, Angela Lombardi, Tommaso Maggipinto, Sabina Tangaro, Roberto Bellotti, Alzheimer’s Disease Neuroimaging Initiative
Journal of Complex Networks, 2018
Transcriptomic context of DRD1 is associated with prefrontal activity and behavior during working memory
Leonardo Fazio, Giulio Pergola, Marco Papalino, Pasquale Di Carlo, Anna Monda, Barbara Gelao, Nicola Amoroso, Sabina Tangaro, Antonio Rampino, Teresa Popolizio, Alessandro Bertolino, Giuseppe Blasi
Proceedings of the National Academy of Sciences of the United States of America, 2018
Deep learning reveals Alzheimer's disease onset in MCI subjects: Results from an international challenge
Nicola Amoroso, Domenico Diacono, Annarita Fanizzi, Marianna La Rocca, Alfonso Monaco, Angela Lombardi, Cataldo Guaragnella, Roberto Bellotti, Sabina Tangaro
Journal of Neuroscience Methods, 2018
Trial latencies estimation of event-related potentials in EEG by means of genetic algorithms
P Da Pelo, M De Tommaso, A Monaco, S Stramaglia, R Bellotti, S Tangaro
Journal of Neural Engineering, 2018
Alzheimer's disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
The Alzheimer’s Disease Neuroimaging Initiative, Nicola Amoroso, Marianna La Rocca, Roberto Bellotti, Annarita Fanizzi, Alfonso Monaco, Sabina Tangaro
Biomedical Engineering Online, 2018
Identification of “Die Hard” nodes in complex networks: A resilience approach
Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Angelo Cardellicchio, Cataldo Guaragnella
Communications in Computer and Information Science, 2018
A complex network approach reveals a pivotal substructure of genes linked to schizophrenia
Alfonso Monaco, Anna Monda, Nicola Amoroso, Alessandro Bertolino, Giuseppe Blasi, Pasquale Di Carlo, Marco Papalino, Giulio Pergola, Sabina Tangaro, Roberto Bellotti
Plos One, 2018
A combined approach of multiscale texture analysis and interest point/corner detectors for microcalcifications diagnosis
Liliana Losurdo, Annarita Fanizzi, Teresa M. A. Basile, Roberto Bellotti, Ubaldo Bottigli, Rosalba Dentamaro, Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Alfonso Monaco, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2018
A Gradient-Based Approach for Breast DCE-MRI Analysis
L. Losurdo, T. M. A. Basile, A. Fanizzi, R. Bellotti, U. Bottigli, R. Carbonara, R. Dentamaro, D. Diacono, V. Didonna, A. Lombardi, F. Giotta, C. Guaragnella, A. Mangia, R. Massafra, P. Tamborra, S. Tangaro, D. La Forgia
Biomed Research International, 2018
Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer’s disease
Javier Rasero, Nicola Amoroso, Marianna La Rocca, Sabina Tangaro, Roberto Bellotti, Sebastiano Stramaglia, for the Alzheimer’s Disease Neuroimaging Initiative
Plos One, 2017
A fuzzy-based system reveals Alzheimer's Disease onset in subjects with Mild Cognitive Impairment
Sabina Tangaro, Annarita Fanizzi, Nicola Amoroso, Roberto Bellotti
Physica Medica, 2017
DTI measurements for Alzheimer's classification
Tommaso Maggipinto, Roberto Bellotti, Nicola Amoroso, Domenico Diacono, Giacinto Donvito, Eufemia Lella, Alfonso Monaco, Marzia Antonella Scelsi, Sabina Tangaro, Alzheimer’s Disease Neuroimaging Initiative
Physics in Medicine and Biology, 2017
Topological Measurements of DWI Tractography for Alzheimer's Disease Detection
Nicola Amoroso, Alfonso Monaco, Sabina Tangaro, Alzheimer’s Disease Neuroimaging Initiative
Computational and Mathematical Methods in Medicine, 2017
A multi-layer MRI description of Parkinson's diseas
Nicola Amoroso, Marianna La Rocca, Roberto Bellotti, Sabina Tangaro, Eufemia Lella
Proceedings of SPIE the International Society for Optical Engineering, 2017
Salient networks: A novel application to study brain connectivity
Nicola Amoroso, Roberto Bellotti, Domenico Diacono, Marianna La Rocca, Sabina Tangaro
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2017
A multiplex network model to characterize brain atrophy in structural MRI
Marianna La Rocca, Nicola Amoroso, Roberto Bellotti, Domenico Diacono, Alfonso Monaco, Anna Monda, Andrea Tateo, Sabina Tangaro
Springer Proceedings in Physics, 2017
A Novel Synchronization-Based Approach for Functional Connectivity Analysis
Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella
Complexity, 2017
Machine learning for the assessment of Alzheimer's disease through DTI
Nicola Amoroso, Sabina Tangaro, Eufemia Lella, Roberto Bellotti, Domenico Diacono, Tommaso Maggipinto, Alfonso Monaco, Marianna La Rocca
Proceedings of SPIE the International Society for Optical Engineering, 2017
Association between MRI structural features and cognitive measures in pediatric multiple sclerosis
Sabina Tangaro, Nicola Amoroso, Roberto Bellotti, Maria Liguori, L. Margari, Marta Simone, R.G. Viterbo, Alfonso Monaco, Annarita Fanizzi, Angela Lombardi
Proceedings of SPIE the International Society for Optical Engineering, 2017
Hough Transform for Clustered Microcalcifications Detection in Full-Field Digital Mammograms
Teresa M. A. Basile, Annarita Fanizzi, Liliana Losurdo, Roberto Bellotti, Sonia Tangaro, Daniele La Forgia, Vittorio Didonna, Raffaella Massafra, Pasquale Tamborra, Marco Moschetta, Ubaldo Bottigli, Rosalba Dentamaro, Alfonso Fausto, N. Amoroso
Proceedings of SPIE the International Society for Optical Engineering, 2017
Topological complex networks properties for gene community detection strategy: DRD2 case study
Anna Monda, Nicola Amoroso, Teresa Maria Altomare Basile, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Pasquale Di Carlo, Annarita Fanizzi, Marianna La Rocca, Tommaso Maggipinto, Alfonso Monaco, Marco Papalino, Giulio Pergola, Sabina Tangaro
Springer Proceedings in Physics, 2017
MRI analysis for hippocampus segmentation on a distributed infrastructure
S. Tangaro, N. Amoroso, M. Antonacci, M. Boccardi, M. Bocchetta, A. Chincarini, D. Diacono, G. Donvito, R. Errico, G. B. Frisoni, T. Maggipinto, A. Monaco, F. Sensi, A. Tateo, R. Bellotti
2016 IEEE International Symposium on Medical Measurements and Applications Memea 2016 Proceedings, 2016
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
Genevera I. Allen, Nicola Amoroso, Catalina Anghel, Venkat Balagurusamy, Christopher J. Bare, Derek Beaton, Roberto Bellotti, David A. Bennett, Kevin L. Boehme, Paul C. Boutros, Laura Caberlotto, Cristian Caloian, Frederick Campbell, Elias Chaibub Neto, Yu‐Chuan Chang, Beibei Chen, Chien‐Yu Chen, Ting‐Ying Chien, Tim Clark, Sudeshna Das, Christos Davatzikos, Jieyao Deng, Donna Dillenberger, Richard J.B. Dobson, Qilin Dong, Jimit Doshi, Denise Duma, Rosangela Errico, Guray Erus, Evan Everett, David W. Fardo, Stephen H. Friend, Holger Fröhlich, Jessica Gan, Peter St George‐Hyslop, Satrajit S. Ghosh, Enrico Glaab, Robert C. Green, Yuanfang Guan, Ming‐Yi Hong, Chao Huang, Jinseub Hwang, Joseph Ibrahim, Paolo Inglese, Anandhi Iyappan, Qijia Jiang, Yuriko Katsumata, John S.K. Kauwe, Arno Klein, Dehan Kong, Roland Krause, Emilie Lalonde, Mario Lauria, Eunjee Lee, Xihui Lin, Zhandong Liu, Julie Livingstone, Benjamin A. Logsdon, Simon Lovestone, Tsung‐wei Ma, Ashutosh Malhotra, Lara M. Mangravite, Taylor J. Maxwell, Emily Merrill, John Nagorski, Aishwarya Namasivayam, Manjari Narayan, Mufassra Naz, Stephen J. Newhouse, Thea C. Norman, Ramil N. Nurtdinov, Yen‐Jen Oyang, Yudi Pawitan, Shengwen Peng, Mette A. Peters, Stephen R. Piccolo, Paurush Praveen, Corrado Priami, Veronica Y. Sabelnykova, Philipp Senger, Xia Shen, Andrew Simmons, Aristeidis Sotiras, Gustavo Stolovitzky, Sabina Tangaro, Andrea Tateo, Yi‐An Tung, Nicholas J. Tustison, Erdem Varol, George Vradenburg, Michael W. Weiner, Guanghua Xiao, Lei Xie, Yang Xie, Jia Xu, Hojin Yang, Xiaowei Zhan, Yunyun Zhou, Fan Zhu, Hongtu Zhu, Shanfeng Zhu, Alzheimer's Disease Neuroimaging Initiative
Alzheimer S and Dementia, 2016
Hybrid x-space: A new approach for MPI reconstruction
A Tateo, A Iurino, G Settanni, A Andrisani, P F Stifanelli, P Larizza, F Mazzia, R M Mininni, S Tangaro, R Bellotti
Physics in Medicine and Biology, 2016
Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm
The Alzheimers Disease Neuroimaging Initiative, Rosalia Maglietta, Nicola Amoroso, Marina Boccardi, Stefania Bruno, Andrea Chincarini, Giovanni B. Frisoni, Paolo Inglese, Alberto Redolfi, Sabina Tangaro, Andrea Tateo, Roberto Bellotti
Pattern Analysis and Applications, 2016
Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease
Andrea Chincarini, Francesco Sensi, Luca Rei, Gianluca Gemme, Sandro Squarcia, Renata Longo, Francesco Brun, Sabina Tangaro, Roberto Bellotti, Nicola Amoroso, Martina Bocchetta, Alberto Redolfi, Paolo Bosco, Marina Boccardi, Giovanni B. Frisoni, Flavio Nobili
Neuroimage, 2016
Mild traumatic brain injury outcome prediction based on both graph and K-nn methods
R. Bellotti, A. Lombardi, C. Guaragnella, N. Amoroso, A. Tateo, S. Tangaro
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Medical Physics Applications in Bari ReCaS Farm
N. Amoroso, M. Antonacci, R. Bellotti, G. Donvito, R. Errico, G. Maggi, A. Monaco, P. Notarangelo, S. Tangaro, A. Tateo
High Performance Scientific Computing Using Distributed Infrastructures Results and Scientific Applications Derived from the Italian Pon Recas Project, 2016
Computer aided detection system for prediction of the malaise during hemodialysis
Sabina Tangaro, Annarita Fanizzi, Nicola Amoroso, Roberto Corciulo, Elena Garuccio, Loreto Gesualdo, Giuliana Loizzo, Deni Aldo Procaccini, Lucia Vernò, Roberto Bellotti
Computational and Mathematical Methods in Medicine, 2016
The ReCaS Project: The Bari Infrastructure
M. Antonacci, R. Bellotti, F. Cafagna, M. de Palma, D. Diacono, G. Donvito, A. Italiano, R. Gervasoni, G. Maggi, G. Miniello, A. Monaco, S. Nicotri, S. Nuzzo, P. Notarangelo, B. Santeramo, G. Selvaggi, L. Silvestris, V. Spinoso, S. Tangaro, E. Tinelli, R. Valentini
High Performance Scientific Computing Using Distributed Infrastructures Results and Scientific Applications Derived from the Italian Pon Recas Project, 2016
Multiple RF classifier for the hippocampus segmentation: Method and validation on EADC-ADNI Harmonized Hippocampal Protocol
P. Inglese, N. Amoroso, M. Boccardi, M. Bocchetta, S. Bruno, A. Chincarini, R. Errico, G.B. Frisoni, R. Maglietta, A. Redolfi, F. Sensi, S. Tangaro, A. Tateo, R. Bellotti
Physica Medica, 2015
Hippocampal unified multi-atlas network (HUMAN): Protocol and scale validation of a novel segmentation tool
N Amoroso, R Errico, S Bruno, A Chincarini, E Garuccio, F Sensi, S Tangaro, A Tateo, R Bellotti, for the Alzheimers Disease Neuroimaging Initiative
Physics in Medicine and Biology, 2015
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge
Esther E. Bron, Marion Smits, Wiesje M. van der Flier, Hugo Vrenken, Frederik Barkhof, Philip Scheltens, Janne M. Papma, Rebecca M.E. Steketee, Carolina Méndez Orellana, Rozanna Meijboom, Madalena Pinto, Joana R. Meireles, Carolina Garrett, António J. Bastos-Leite, Ahmed Abdulkadir, Olaf Ronneberger, Nicola Amoroso, Roberto Bellotti, David Cárdenas-Peña, Andrés M. Álvarez-Meza, Chester V. Dolph, Khan M. Iftekharuddin, Simon F. Eskildsen, Pierrick Coupé, Vladimir S. Fonov, Katja Franke, Christian Gaser, Christian Ledig, Ricardo Guerrero, Tong Tong, Katherine R. Gray, Elaheh Moradi, Jussi Tohka, Alexandre Routier, Stanley Durrleman, Alessia Sarica, Giuseppe Di Fatta, Francesco Sensi, Andrea Chincarini, Garry M. Smith, Zhivko V. Stoyanov, Lauge Sørensen, Mads Nielsen, Sabina Tangaro, Paolo Inglese, Christian Wachinger, Martin Reuter, John C. van Swieten, Wiro J. Niessen, Stefan Klein
Neuroimage, 2015
An hippocampal segmentation tool within an open cloud infrastructure
Nicola Amoroso, Sabina Tangaro, Rosangela Errico, Elena Garuccio, Anna Monda, Francesco Sensi, Andrea Tateo, Roberto Bellotti, [Authorinst]for the Alzheimer’s Dis Initiative
Lecture Notes in Computer Science, 2015
Feature selection based on machine learning in MRIs for hippocampal segmentation
Sabina Tangaro, Nicola Amoroso, Massimo Brescia, Stefano Cavuoti, Andrea Chincarini, Rosangela Errico, Paolo Inglese, Giuseppe Longo, Rosalia Maglietta, Andrea Tateo, Giuseppe Riccio, Roberto Bellotti
Computational and Mathematical Methods in Medicine, 2015
Automated voxel-by-voxel tissue classification for hippocampal segmentation: Methods and validation
S. Tangaro, N. Amoroso, M. Boccardi, S. Bruno, A. Chincarini, G. Ferraro, G.B. Frisoni, R. Maglietta, A. Redolfi, L. Rei, A. Tateo, R. Bellotti
Physica Medica, 2014
Post-detection analysis for grating-based ultra-small angle X-ray scattering
F. Scattarella, S. Tangaro, P. Modregger, M. Stampanoni, L. De Caro, R. Bellotti
Physica Medica, 2013
Random forest classification for hippocampal segmentation in 3D MR images
Rosalia Maglietta, Nicola Amoroso, Stefania Bruno, Andrea Chincarini, Giovanni Frisoni, Paolo Inglese, Sabina Tangaro, Andrea Tateo, Roberto Bellotti
Proceedings 2013 12th International Conference on Machine Learning and Applications Icmla 2013, 2013
Alzheimer’s disease markers from structural MRI and FDG-PET brain images
Andrea Chincarini, Paolo Bosco, Gianluca Gemme, Silvia Morbelli, Dario Arnaldi, Francesco Sensi, Ilaria Solano, Nicola Amoroso, Sabina Tangaro, Renata Longo, Sandro Squarcia, Flavio Nobili
European Physical Journal Plus, 2012
Automated Shape Analysis landmarks detection for medical image processing
Computational Modelling of Objects Represented in Images Fundamentals Methods and Applications III Proceedings of the International Symposium Compimage 2012, 2012
Automatic lung segmentation in CT images with accurate handling of the hilar region
Giorgio De Nunzio, Eleonora Tommasi, Antonella Agrusti, Rosella Cataldo, Ivan De Mitri, Marco Favetta, Silvio Maglio, Andrea Massafra, Maurizio Quarta, Massimo Torsello, Ilaria Zecca, Roberto Bellotti, Sabina Tangaro, Piero Calvini, Niccolò Camarlinghi, Fabio Falaschi, Piergiorgio Cerello, Piernicola Oliva
Journal of Digital Imaging, 2011
Phase retrieval for X-ray in-line phase contrast imaging
Nuovo Cimento Della Societa Italiana Di Fisica C, 2011
Deconvolution by finite-size-source effects of x-ray phase-contrast images
Liberato De Caro, Francesco Scattarella, Sabina Tangaro, Daniele Pelliccia, Cinzia Giannini, Ubaldo Bottigli, Roberto Bellotti
Medical Physics, 2011
Digital image processing in medical applications, April 22, 2008
Sabina Tangaro, Roberto Bellotti, Francesco De Carlo, Gianfranco Gargano
Applications of Mathematics in Models Artificial Neural Networks and Arts Mathematics and Society, 2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
Bram van Ginneken, Samuel G. Armato, Bartjan de Hoop, Saskia van Amelsvoort-van de Vorst, Thomas Duindam, Meindert Niemeijer, Keelin Murphy, Arnold Schilham, Alessandra Retico, Maria Evelina Fantacci, Niccolò Camarlinghi, Francesco Bagagli, Ilaria Gori, Takeshi Hara, Hiroshi Fujita, Gianfranco Gargano, Roberto Bellotti, Sabina Tangaro, Lourdes Bolaños, Francesco De Carlo, Piergiorgio Cerello, Sorin Cristian Cheran, Ernesto Lopez Torres, Mathias Prokop
Medical Image Analysis, 2010
Combined mixed approach algorithm for in-line phase-contrast x-ray imaging
Liberato De Caro, Francesco Scattarella, Cinzia Giannini, Sabina Tangaro, Luigi Rigon, Renata Longo, Roberto Bellotti
Medical Physics, 2010
Pleural nodule identification in low-dose and thin-slice lung computed tomography
A. Retico, M.E. Fantacci, I. Gori, P. Kasae, B. Golosio, A. Piccioli, P. Cerello, G. De Nunzio, S. Tangaro
Computers in Biology and Medicine, 2009
Summary of section "new accelerators, detectors, calculus and new technologies"
L. Catàni, Sabina Tangaro, F. Tessarotto
21st Conference on High Energy Physics Ifae 2009, 2009
Summary of section "new accelerators, detectors, calculus and new technologies"
L. Catàni, Sabina Tangaro, F. Tessarotto
Nuovo Cimento Della Societa Italiana Di Fisica C, 2009
A theoretical study on phase-contrast mammography with Thomson-scattering x-ray sources
Liberato De Caro, Cinzia Giannini, Roberto Bellotti, Sabina Tangaro
Medical Physics, 2009
An innovative lung segmentation algorithm in CT images with accurate delimitation of the hilus pulmonis
Giorgio De Nunzio, Eleonora Tommasi, Antonella Agrusti, Rosella Cataldo, Ivan De Mitri, Marco Favetta, Roberto Bellotti, Sabina Tangaro, Niccolo Camarlinghi, Piergiorgio Cerello
IEEE Nuclear Science Symposium Conference Record, 2008
MAGIC-5: An Italian mammographic database of digitised images for research
S. Tangaro, R. Bellotti, F. De Carlo, G. Gargano, E. Lattanzio, P. Monno, R. Massafra, P. Delogu, M. E. Fantacci, A. Retico, M. Bazzocchi, S. Bagnasco, P. Cerello, S. C. Cheran, E. Lopez Torres, E. Zanon, A. Lauria, A. Sodano, D. Cascio, F. Fauci, R. Magro, G. Raso, R. Ienzi, U. Bottigli, G. L. Masala, P. Oliva, G. Meloni, A. P. Caricato, R. Cataldo
Radiologia Medica, 2008
A novel Active Contour Model algorithm for contour detection in complex objects
G. Gargano, R. Bellotti, F. de Carlo, S. Tangaro, E. Tommasi, M. Castellano, P. Cerello, S.C. Cheran, C. Fulcheri
Proceedings of the 2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Cimsa, 2007
Ant Colonies for the reconstruction of artificial 3D Objects
P. Cerello, S.C. Cheran, G. Gargano, R. Bellotti, F. de Carlo, S. Tangaro, C. Fulcheri, Torres E. Lopez, E. Tommasi
Proceedings of the 2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Cimsa, 2007
An SVM based approach for the analysis of mammography images
X. Gan, L. Kapsokalivas, A. Skaliotis, K. Steinhöfel, S. Tangaro, Theodore E. Simos, George Psihoyios, Ch. Tsitouras
Aip Conference Proceedings, 2007
Distributed medical images analysis on a Grid infrastructure
R. Bellotti, P. Cerello, S. Tangaro, V. Bevilacqua, M. Castellano, G. Mastronardi, F. De Carlo, S. Bagnasco, U. Bottigli, R. Cataldo, E. Catanzariti, S.C. Cheran, P. Delogu, I. De Mitri, G. De Nunzio, M.E. Fantacci, F. Fauci, G. Gargano, B. Golosio, P.L. Indovina, A. Lauria, E. Lopez Torres, R. Magro, G.L. Masala, R. Massafra, P. Oliva, A. Preite Martinez, M. Quarta, G. Raso, A. Retico, M. Sitta, S. Stumbo, A. Tata, S. Squarcia, A. Schenone, E. Molinari, B. Canesi
Future Generation Computer Systems, 2007
Mass lesion detection in mammographic images using Haralik textural features
Proceedings of the International Symposium Compimage 2006 Computational Modelling of Objects Represented in Images Fundamentals Methods and Applications, 2007
A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model
R. Bellotti, F. De Carlo, G. Gargano, S. Tangaro, D. Cascio, E. Catanzariti, P. Cerello, S. C. Cheran, P. Delogu, I. De Mitri, C. Fulcheri, D. Grosso, A. Retico, S. Squarcia, E. Tommasi, Bruno Golosio
Medical Physics, 2007
Comparative study of feature classification methods for mass lesion recognition in digitized mammograms
Giovanni Luca Masala, Sabina Tangaro, Bruno Golosio, P. Oliva, S. Stumbo, et al.
Nuovo Cimento Della Societa Italiana Di Fisica C, 2007
Mammogram segmentation by contour searching and mass lesions classification with neural network
D. Cascio, F. Fauci, R. Magro, G. Raso, R. Bellotti, F. De Carlo, S. Tangaro, G. De Nunzio, M. Quarta, G. Forni, A. Lauria, M.E. Fantacci, A. Retico, G.L. Masala, P. Oliva, S. Bagnasco, S.C. Cheran, E.L. Torres
IEEE Transactions on Nuclear Science, 2006
GPCALMA: An Italian mammographic database of digitized images for research
Adele Lauria, Raffaella Massafra, Sabina Sonia Tangaro, Roberto Bellotti, MariaEvelina Fantacci, Pasquale Delogu, Ernesto Lopez Torres, Piergiorgio Cerello, Francesco Fauci, Rosario Magro, Ubaldo Bottigli
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2006
A completely automated CAD system for mass detection in a large mammographic database
R. Bellotti, F. De Carlo, S. Tangaro, G. Gargano, G. Maggipinto, M. Castellano, R. Massafra, D. Cascio, F. Fauci, R. Magro, G. Raso, A. Lauria, G. Forni, S. Bagnasco, P. Cerello, E. Zanon, S. C. Cheran, E. Lopez Torres, U. Bottigli, G. L. Masala, P. Oliva, A. Retico, M. E. Fantacci, R. Cataldo, I. De Mitri, G. De Nunzio
Medical Physics, 2006
Dissimilarity application for medical imaging classification
Wmsci 2005 the 9th World Multi Conference on Systemics Cybernetics and Informatics Proceedings, 2005
Classifiers trained on dissimilarity representation of medical pattern: A comparative study
Nuovo Cimento Della Societa Italiana Di Fisica C, 2005
A massive lesion detection algorithm in mammography
Francesco Fauci, Giuseppe Raso, Rosario Magro, Giustina Forni, Adele Lauria, Stefano Bagnasco, Piergiorgio Cerello, Sorin C. Cheran, Ernesto Lopez Torres, Robero Bellotti, Francesco De carlo, Gianfranco Gargano, Sonia Tangaro, Ivan De Mitri, Giorgio De Nunzio, Rossella Cataldo
Physica Medica, 2005
GPCALMA: A Grid-based tool for mammographic screening
S. Bagnasco, U. Bottigli, S. C. Cheran, P. Delogu, M. E. Fantacci, F. Fauci, G. Forni, A. Lauria, E. Lopez Torres, R. Magro, G. L. Masala, P. Oliva, R. Palmiero, L. Ramello, G. Raso, A. Retico, M. Sitta, S. Stumbo, S. Tangaro, E. Zanon, P. Cerello
Methods of Information in Medicine, 2005
Mammogram segmentation by contour searching and massive lesion classification with neural network
IEEE Nuclear Science Symposium Conference Record, 2004
The MAGIC-5 project: Medical applications on a grid infrastructure connection
IEEE Nuclear Science Symposium Conference Record, 2004
Measurements of spectral and position resolution on a 16×16 pixel CZT imaging hard X-ray detector
Stefano Del Sordo, Gaetano Agnetta, B. Biondo, Ezio Caroli, Filippo Celi, Ariano Donati, Salvatore Giarrusso, A. Mangano, R. Montanti, Francesco Russo, Filomena Schiavone, John B. Stephen, M. Strazzeri, Giulio Ventura, Giovanni Pareschi, L. Abbene, Francesco Fauci, Giuseppe Raso, V. Radicci, S. Tangaro, Piernicola Oliva, Simone Stumbo
Proceedings of SPIE the International Society for Optical Engineering, 2004
The CALMA system: An artificial neural network method for detecting masses and microcalcifications in digitized mammograms
A. Lauria, R. Palmiero, G. Forni, P. Cerello, B. Golosio, F. Fauci, R. Magro, G. Raso, S. Tangaro, P.L. Indovina
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2004
FLUXEN portable equipment for direct X-ray spectra measurements
S. Aiello, U. Bottigli, F. Fauci, B. Golosio, D. Lo Presti, G.L. Masala, P. Oliva, G. Raso, S. Stumbo, S. Tangaro
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2004
Direct analysis of molybdenum target generated x-ray spectra with a portable device
S. Stumbo, U. Bottigli, B. Golosio, P. Oliva, S. Tangaro
Medical Physics, 2004
Diagnostic performance of radiologists with and without different CAD systems for mammography
Adele Lauria, Maria E. Fantacci, Ubaldo Bottigli, Pasquale Delogu, Francesco Fauci, Bruno Golosio, Pietro L. Indovina, Giovanni L. Masala, Piernicola Oliva, Rosa Palmiero, Giuseppe Raso, Simone Stumbo, Sabina Tangaro
Proceedings of SPIE the International Society for Optical Engineering, 2003
GPCALMA, a mammographic CAD in a GRID connection
U Bottigli, P Cerello, P Delogu, M.E Fantacci, F Fauci, B Golosio, A Lauria, E Lopez Torres, R Magro, G.L Masala, P Oliva, R Palmiero, G Raso, A Retico, S Stumbo, S Tangaro
International Congress Series, 2003
Search of microcalcification clusters with the CALMA CAD station
Maria E. Fantacci, Ubaldo Bottigli, Pasquale Delogu, Francesco Fauci, Bruno Golosio, Adele Lauria, Rosa Palmiero, Giuseppe Raso, Simone Stumbo, Sabina Tangaro
Proceedings of SPIE the International Society for Optical Engineering, 2002
The CALMA project
S.R. Amendolia, M.G. Bisogni, U. Bottigli, A. Ceccopieri, P. Delogu, G. Dipasquale, M.E. Fantacci, E. Lorenzini, A. Marchi, V.M. Marzulli, P. Oliva, R. Palmiero, M. Reggiani, V. Rosso, A. Stefanini, S. Stumbo, S. Tangaro, O. Venier
Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 2001

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