Dalibor Nikolic

Scopus Publications

Influence of Infill Density on the Degradation and Tribological Performance of FDM-Printed PLA for Biomedical Applications
Nebojša Zdravković, Živana Jovanovic Pešić, Dalibor Nikolić, Dragan S. Džunić
Lubricants, 2026
This study investigates the influence of physiological body fluids on the mass stability and tribological performance of polylactic acid (PLA) samples produced by Fused Deposition Modeling (FDM) 3D printing. Body fluid exposure was simulated using Dulbecco’s Modified Eagle Medium (DMEM) under controlled conditions. Black PLA filament was printed with three infill densities (15%, 20%, and 90%) and immersed in DMEM for 7 days at 37 ± 1 °C. Mass measurements revealed that lower infill densities resulted in significantly higher mass loss, with the 15% infill samples exhibiting the greatest reduction (5.07%), while the 90% infill samples showed negligible change (0.17%). Tribological testing using a CSM nanotribometer under loads of 5 mN, 500 mN, and 1000 mN demonstrated that infill density critically affects friction and wear behavior. The 90% infill samples exhibited the lowest wear volumes and the most stable tribological response, while the 15% infill samples showed degradation-dominated contact behavior. Although the friction measurements for the 15% infill samples were consistent, their interpretation should be approached with caution due to pronounced surface deterioration and debris-mediated sliding. This behavior is attributed to structural weakening caused by immersion in DMEM, which promoted material degradation and influenced the tribological response. These findings confirm the critical role of structural density in wear resistance. To the best of our knowledge, this is the first study to systematically investigate the combined effect of hydrolytic degradation and tribological behavior of FDM-printed PLA as a function of infill density under simulated physiological conditions. These findings provide a scientific basis for optimizing infill density in the design of PLA-based surgical instrument guides, where both degradation resistance and tribological performance under body fluid exposure are essential. The findings should be interpreted within the limitations of the experimental design.
USER INTERFACES CAD SOFTWARE FOR PRE- AND POST-PROCESSING OF MODELS ACCOMPANYING PAK FE CODE
Miljan Milošević, Vladimir Simić, Bogdan Milićević, Velibor Isailović, Vladimir Ranković, et al.
Journal of the Serbian Society for Computational Mechanics, 2025
From imaging to personalized 3D printed molds in cranioplasty
Tijana Geroski, Vojin Kovačević, Dalibor Nikolić, Nenad Filipović
Medical Engineering and Physics, 2024
Machine Learning Model for Prediction of Development of Cancer Stem Cell Subpopulation in Tumurs Subjected to Polystyrene Nanoparticles
Amra Ramović Hamzagić, Marina Gazdić Janković, Danijela Cvetković, Dalibor Nikolić, Sandra Nikolić, et al.
Toxics, 2024
Cancer stem cells (CSCs) play a key role in tumor progression, as they are often responsible for drug resistance and metastasis. Environmental pollution with polystyrene has a negative impact on human health. We investigated the effect of polystyrene nanoparticles (PSNPs) on cancer cell stemness using flow cytometric analysis of CD24, CD44, ABCG2, ALDH1 and their combinations. This study uses simultaneous in vitro cell lines and an in silico machine learning (ML) model to predict the progression of cancer stem cell (CSC) subpopulations in colon (HCT-116) and breast (MDA-MB-231) cancer cells. Our findings indicate a significant increase in cancer stemness induced by PSNPs. Exposure to polystyrene nanoparticles stimulated the development of less differentiated subpopulations of cells within the tumor, a marker of increased tumor aggressiveness. The experimental results were further used to train an ML model that accurately predicts the development of CSC markers. Machine learning, especially genetic algorithms, may be useful in predicting the development of cancer stem cells over time.
Modeling 5-FU-Induced Chemotherapy Selection of a Drug-Resistant Cancer Stem Cell Subpopulation
Amra Ramović Hamzagić, Danijela Cvetković, Marina Gazdić Janković, Nevena Milivojević Dimitrijević, Dalibor Nikolić, et al.
Current Oncology, 2024
(1) Background: Cancer stem cells (CSCs) are a subpopulation of cells in a tumor that can self-regenerate and produce different types of cells with the ability to initiate tumor growth and dissemination. Chemotherapy resistance, caused by numerous mechanisms by which tumor tissue manages to overcome the effects of drugs, remains the main problem in cancer treatment. The identification of markers on the cell surface specific to CSCs is important for understanding this phenomenon. (2) Methods: The expression of markers CD24, CD44, ALDH1, and ABCG2 was analyzed on the surface of CSCs in two cancer cell lines, MDA-MB-231 and HCT-116, after treatment with 5-fluorouracil (5-FU) using flow cytometry analysis. A machine learning model (ML)–genetic algorithm (GA) was used for the in silico simulation of drug resistance. (3) Results: As evaluated through the use of flow cytometry, the percentage of CD24-CD44+ MDA-MB-231 and CD44, ALDH1 and ABCG2 HCT-116 in a group treated with 5-FU was significantly increased compared to untreated cells. The CSC population was enriched after treatment with chemotherapy, suggesting that these cells have enhanced drug resistance mechanisms. (4) Conclusions: Each individual GA prediction model achieved high accuracy in estimating the expression rate of CSC markers on cancer cells treated with 5-FU. Artificial intelligence can be used as a powerful tool for predicting drug resistance.
Use Case: Stent Biodegradation Modeling
Dalibor D. Nikolić, Nenad Filipović
In Silico Clinical Trials for Cardiovascular Disease A Finite Element and Machine Learning Approach, 2024
Predicting the Evolution of Cancer Stem Cell Subtypes Using a Machine Learning Framework
D. Nikolić, B. Ljujić, A. Ramović Hamzagić, M. Gazdić Janković, A. Mirić, et al.
Lecture Notes in Networks and Systems, 2024
AI-Driven Optimization of PCL/PEG Electrospun Scaffolds for Enhanced In Vivo Wound Healing
Katarina Virijević, Marko N. Živanović, Dalibor Nikolić, Nevena Milivojević, Jelena Pavić, et al.
ACS Applied Materials and Interfaces, 2024
Here, an artificial intelligence (AI)-based approach was employed to optimize the production of electrospun scaffolds for in vivo wound healing applications. By combining polycaprolactone (PCL) and poly(ethylene glycol) (PEG) in various concentration ratios, dissolved in chloroform (CHCl3) and dimethylformamide (DMF), 125 different polymer combinations were created. From these polymer combinations, electrospun nanofiber meshes were produced and characterized structurally and mechanically via microscopic techniques, including chemical composition and fiber diameter determination. Subsequently, these data were used to train a neural network, creating an AI model to predict the optimal scaffold production solution. Guided by the predictions and experimental outcomes of the AI model, the most promising scaffold for further in vitro analyses was identified. Moreover, we enriched this selected polymer combination by incorporating antibiotics, aiming to develop electrospun nanofiber scaffolds tailored for in vivo wound healing applications. Our study underscores three noteworthy conclusions: (i) the application of AI is pivotal in the fields of material and biomedical sciences, (ii) our methodology provides an effective blueprint for the initial screening of biomedical materials, and (iii) electrospun PCL/PEG antibiotic-bearing scaffolds exhibit outstanding results in promoting neoangiogenesis and facilitating in vivo wound treatment.
Abdominal aortic aneurysm volume and relative intraluminal thrombus volume might be auxiliary predictors of rupture—an observational cross-sectional study
I. Koncar, D. Nikolic, Z. Milosevic, N. Bogavac-Stanojevic, N. Ilic, et al.
Frontiers in Surgery, 2023
ObjectivesThe study aimed to identify differences and compare anatomical and biomechanical features between elective and ruptured abdominal aortic aneurysms (AAAs).MethodsData (clinical, anatomical, and biomechanical) of 98 patients with AAA, 75 (76.53%) asymptomatic (Group aAAA) and 23 (23.46%) ruptured AAA (Group rAAA), were prospectively collected and analyzed. Anatomical, morphological, and biomechanical imaging markers like peak wall stress (PWS) and rupture risk equivalent diameter (RRED), comorbid conditions, and demographics were compared between the groups. Biomechanical features were assessed by analysis of Digital Imaging and Communication in Medicine images by A4clinics (Vascops), and anatomical features were assessed by 3Surgery (Trimensio). Binary and multiple logistic regression analysis were used and adjusted for confounders. Accuracy was assessed using receiving operative characteristic (ROC) curve analysis.ResultsIn a multivariable model, including gender and age as confounder variables, maximal aneurysm diameter [MAD, odds ratio (OR) = 1.063], relative intraluminal thrombus (rILT, OR = 1.039), and total aneurysm volume (TAV, OR = 1.006) continued to be significant predictors of AAA rupture with PWS (OR = 1.010) and RRED (OR = 1.031). Area under the ROC curve values and correct classification (cc) for the same parameters and the model that combines MAD, TAV, and rILT were measured: MAD (0.790, cc = 75%), PWS (0.713, cc = 73%), RRED (0.717, cc = 55%), TAV (0.756, cc = 79%), rILT (0.656, cc = 60%), and MAD + TAV + rILT (0.797, cc = 82%).ConclusionBased on our results, in addition to MAD, other important predictors of rupture that might be used during aneurysm surveillance are TAV and rILT. Biomechanical parameters (PWS, RRED) as valuable predictors should be assessed in prospective clinical trials. Similar studies on AAA smaller than 55 mm in diameter, even difficult to organize, would be of even greater clinical value.
Virtual ankle-brachial index – can the immediate outcome of femorodistal bypass surgery be predicted?
Dragan Sekulic, Aleksandar Tomic, Andreja Dimic, Aleksandar Mitrovic, Lazar Davidovic, et al.
Vojnosanitetski Pregled, 2023
Background/Aim. The best treatment for the occlusion of the largest artery in the thigh is a femorodistal (FD) bypass. Ankle-brachial index (ABI) and multidetector computed tomographic (MDCT) angiography are the gold standards for diagnosing peripheral arterial occlusive disease. The finite element analysis (FEA) method can help measure the quantity of blood flow and arterial pressure in the arteries in the leg. The aim of this study was to examine the possibility of using the FEA method in predicting the outcome of FD bypass surgery. Methods. The study involved 45 patients indicated for FD arterial reconstruction from December 1, 2021, to March 31, 2023. Each patient underwent pre- and postoperative MDCT angiography of the arteries of the lower extremities, on the basis of which, with the use of FEA, models were made for measuring ABI. All patients had their ABI measured pre-operatively and postoperatively using the Doppler ultrasound and sphygmomanometer. Based on the findings of the preoperative MDCT angiography, postoperative virtual surgical models were created using the FEA method, on which ABI were also measured. The values of ABI were divided into five groups: ABI measured preoperatively (ABI pre-op), ABI measured postoperatively (ABI post-op), ABI measured on FEA models based on the MDCT findings [ABI (sim) pre-op], ABI sim post-op, and ABI measured on virtual surgery model [ABI sim post-op (virtual)]. The ABI of the models were statistically compared with preoperative and postoperative measurements done on patients. Results. The values based on the virtual ABI model did not show significant differences compared to the values obtained on patients and values obtained with the FEA method using MDCT angiography (p < 0.001). A strong statistically significant correlation was shown between the virtual ABI and the values obtained by the other two methods, measured on the postoperative MDCT angiography model and virtual postoperative model (p < 0.001). Conclusion. Virtual simulation based on the MDCT angiography parameters of peripheral blood vessels can be successfully used to predict the immediate outcome of the FD bypass surgery.
Simulation of stent mechanical testing
Dalibor D. Nikolic, Nenad Filipovic
Cardiovascular and Respiratory Bioengineering, 2022
InSilc Computational Tool for in Silico Optimization of Drug-Eluting Bioresorbable Vascular Scaffolds
Miljan Milosevic, Milos Anic, Dalibor Nikolic, Bogdan Milicevic, Milos Kojic, et al.
Computational and Mathematical Methods in Medicine, 2022
Electrospun Poly(Lactic Acid)-Chitosan Nanofibers for Wound Healing Application †
Katarina Virijević, Bojana Marković, Jelena Grujić, Milena Jovanović, Nikolina Kastratović, et al.
Engineering Proceedings, 2022
Virtual ABI: A computationally derived ABI index for noninvasive assessment of femoro-popliteal bypass surgery outcome
Danko Z. Milasinovic, Dragan B. Sekulic, Dalibor D. Nikolic, Arso M. Vukicevic, Aleksandar P. Tomic, et al.
Computer Methods and Programs in Biomedicine, 2021
In vitro and in silico testing of partially and fully bioresorbable vascular scaffold
Nenad Filipovic, Dalibor Nikolic, Velibor Isailovic, Miljan Milosevic, Vladimir Geroski, et al.
Journal of Biomechanics, 2021
Application of AR Technology in Bioengineering
Dalibor D. Nikolic, Nenad D. Filipovic
Computational Modeling and Simulation Examples in Bioengineering, 2021
Numerical simulation of fractional flow reserve in atherosclerotic coronary arteries
Igor Saveljic, Tijana Djukic, Dalibor Nikolic, Smiljana Djorovic, Nenad Filipovic
Bibe 2021 21st IEEE International Conference on Bioinformatics and Bioengineering Proceedings, 2021
Development of Microfluidic Lab-on-Chip System for Cultivation of Cells and Tissues
Nevena Milivojević, Dalibor Nikolić, Dragana Šeklić, Živana Jovanović, Marko Živanović, et al.
Ifmbe Proceedings, 2021
Electrospinning and Electrospun Nanofibrous Materials – Promising Scaffolds in Tissue Engineering
Katarina Virijević, Jelena Grujić, Mihajlo Kokanović, Dalibor Nikolić, Marko Živanović, et al.
Ifmbe Proceedings, 2021
Hemodynamics of Femoro-Popliteal 'Bi-Pass' Surgery using FEA Methods
Dalibor D. Nikolic, Dragan B. Sekulic, Danko Z. Milasinovic, Dragana S. Paunovic, Igor M. SekuliC, et al.
Bibe 2021 21st IEEE International Conference on Bioinformatics and Bioengineering Proceedings, 2021
Application of in silico Platform for the Development and Optimization of Fully Bioresorbable Vascular Scaffold Designs
Miljan Milosevic, Milos Anic, Dalibor Nikolic, Vladimir Geroski, Bogdan Milicevic, et al.
Frontiers in Medical Technology, 2021
EXPERIMENTAL ELECTROCHEMOTHERAPY USING NOVEL DESIGN SINGLE NEEDLE DEVICE
Aleksandar Cvetković, Danijela Cvetković, Danko Milašinović, Nemanja Jovičić, Nikola Miailović, et al.
Journal of the Serbian Society for Computational Mechanics, 2021
HAEMODYNAMICS OF FEMOROPOPLITEAL BYPASS SURGERY USING FINITE ELEMENT ANALYSIS METHOD
Dragan Sekulić, Aleksandar Tomić, Danko Milašinović, Dalibor Nikolić, Dragana Paunović, et al.
Medicinski Casopis, 2021
Parametric optimization of stent design based on numerical methods
Dalibor Nikolić, Igor Saveljić, Nenad Filipović
Ifmbe Proceedings, 2020
Atherosclerotic plaque formation in the coronary arteries
Igor Saveljic, Dalibor Nikolic, Zarko Milosevic, Nenad Filipovic
Ifmbe Proceedings, 2020
Computer Predictive Model for Plaque Formation and Progression in the Artery
Nenad Filipovic, Milos Radovic, Dalibor D. Nikolic, Igor Saveljic, Zarko Milosevic, et al.
Coronary and Cardiothoracic Critical Care Breakthroughs in Research and Practice, 2019
Three-Dimensional Computer Model of Benign Paroxysmal Positional Vertigo in the Semi-Circular Canal
Zarko Milosevic, Igor Saveljic, Dalibor Nikolic, Nebojsa Zdravkovic, Nenad Filipovic, et al.
Eai Endorsed Transactions on Pervasive Health and Technology, 2018
Prediction of coronary plaque progression using data driven approach
Bojana Andjelkovic Cirkovic, Velibor Isailovic, Dalibor Nikolic, Igor Saveljic, Oberdan Parodi, et al.
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2018
Manufacturing of biodegradable scaffolds to engineer artificial blood vessel
Maja Milosevic, Nikola Mijailovic, Dalibor Nikolic, Nenad Filipovic, Aleksandar Peulic, et al.
Serbian Journal of Experimental and Clinical Research, 2018
Three-dimensional biomechanical model of benign paroxysmal positional vertigo in the semi-circular canal
Nebojsa Zdravkovic, Zarko Milosevic, Igor Saveljic, Dalibor Nikolic, Vladimir Miloradovic, et al.
Tehnicki Vjesnik, 2017
Morphological and Biomechanical Features in Abdominal Aortic Aneurysm with Long and Short Neck—Case-Control Study in 64 Abdominal Aortic Aneurysms
Igor B. Koncar, Dalibor Nikolic, Zarko Milosevic, Nikola Ilic, Marko Dragas, et al.
Annals of Vascular Surgery, 2017
Computer modeling of stent deployment in the coronary artery coupled with plaque progression
Nenad Filipovic, Zarko Milosevic, Igor Saveljic, Dalibor Nikolic, Milos Radovic
Biomaterials in Clinical Practice Advances in Clinical Research and Medical Devices, 2017
Coupled computer modeling of atherosclerosis development in the coronary arteries
Velibor Isailovic, Zarko Milosevic, Dalibor Nikolic, Igor Saveljic, Milica Nikolic, et al.
Proceedings 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering Bibe 2017, 2017
An innovative method for precise lymph node detection before surgical treatment in breast cancer
Hellenic Journal of Nuclear Medicine, 2017
Computational modeling of plaque development in the coronary arteries
Nenad Filipovic, Velibor Isailovic, Zarko Milosevic, Dalibor Nikolic, Igor Saveljic, et al.
Ifmbe Proceedings, 2017
Biomechanical model for detection of vertigo disease
Nenad Filipovic, Zarko Milosevic, Igor Saveljic, Dalibor Nikolic, Nebojsa Zdravkovic, et al.
Proceedings 2016 International Conference on Identification Information and Knowledge in the Internet of Things Iiki 2016, 2016
Does the presence of an unerupted lower third molar influence the risk of mandibular angle and condylar fractures?
S. Antic, I. Saveljic, D. Nikolic, G. Jovicic, N. Filipovic, et al.
International Journal of Oral and Maxillofacial Surgery, 2016
Modeling of patient-specific three semicircular canals
V. Stojic, I. Saveljic, Z. Milosevic, D. Nikolic, T. Exarchos, et al.
Journal of the Serbian Society for Computational Mechanics, 2016
A summary of results in modeling plaque formation and development, cochlea mechanics and vestibular disorders
N. Filipovic, M. Radovic, V. Isailovic, Z. Milosevic, D. Nikolic, et al.
Journal of the Serbian Society for Computational Mechanics, 2016
Development of the software tool for generation and visualization of the finite element head model with bone conduction sounds
Dalibor Nikolić, Žarko Milošević, Igor Saveljić, Nenad Filipović
Aip Conference Proceedings, 2015
Finite element coiled cochlea model
Velibor Isailovic, Milica Nikolic, Zarko Milosevic, Igor Saveljic, Dalibor Nikolic, et al.
Aip Conference Proceedings, 2015
Using of finite element method for modeling of active cochlea
Velibor M. Isailovic, Milica M. Nikolic, Dalibor D. Nikolic, Igor B. Saveljic, Nenad D. Filipovic
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering Bibe 2015, 2015
Computer modeling of semicircular canals in the vestibular system
Zarko Milosevic, Dalibor Nikolic, Igor Saveljic, Milos Radovic, Velibor Isailovic, et al.
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering Bibe 2015, 2015
Hybrid SPECT/MSCT 3D computational preoperative simulation in breast cancer surgery
Dalibor Nikolic, Milovan Matovic, Marija Jeremic, Aleksandar Cvetkovic, Srdjan Ninkovic, et al.
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering Bibe 2015, 2015
Computational modeling of plaque progression in coronary arteries
Milos Radovic, Velibor Isailovic, Igor Saveljic, Zarko Milosevic, Dalibor Nikolic, et al.
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering Bibe 2015, 2015
Intraluminal thrombus asymmetrical deposition in ruptured and symptomatic abdominal aortic aneurysm
I Koncar, M Sladojevic, D Nikolic, Z Milosevic, M Dragas, et al.
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering Bibe 2015, 2015
Computer predictive model for plaque formation and progression in the artery
Nenad Filipovic, Milos Radovic, Dalibor D. Nikolic, Igor Saveljic, Zarko Milosevic, et al.
Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions, 2015
Numerical simulation of blood flow and plaque progression in carotid-carotid bypass patient specific case
Nenad Filipovic, Igor Saveljic, Dalibor Nikolic, Zarko Milosevic, Pavle Kovacevic, et al.
Computer Aided Surgery, 2015
Occlusal load distribution through the cortical and trabecular bone of the human mid-facial skeleton in natural dentition: A three-dimensional finite element study
Aleksa Janovic, Igor Saveljic, Arso Vukicevic, Dalibor Nikolic, Zoran Rakocevic, et al.
Annals of Anatomy, 2015
Software and hardware systems for abdominal aortic aneurysm mechanical properties investigation
Ivan L. Milanković, Nikola V. Mijailović, Aleksandar S. Peulić, Dalibor Nikolić, Igor Končar, et al.
Fme Transactions, 2015
Prediction of coronary plaque location on arteries having myocardial bridge, using finite element models
Dalibor Nikolić, Miloš Radović, Srđan Aleksandrić, Miloje Tomašević, Nenad Filipović
Computer Methods and Programs in Biomedicine, 2014
Microstructural properties of the mid-facial bones in relation to the distribution of occlusal loading
Aleksa Janovic, Petar Milovanovic, Igor Saveljic, Dalibor Nikolic, Michael Hahn, et al.
Bone, 2014
Computational analysis of lung deformation after murine pneumonectomy
Nenad Filipovic, Barry C. Gibney, Dalibor Nikolic, Moritz A. Konerding, Steven J. Mentzer, et al.
Computer Methods in Biomechanics and Biomedical Engineering, 2014
Mechanical and electro-mechanical box cochlea model
M. Nikolić, V. Isailović, D. Nikolić, I. Saveljić, Z. Milošević, et al.
Journal of the Serbian Society for Computational Mechanics, 2014
Computer simulation of three-dimensional plaque formation and progression in the coronary artery
Nenad Filipovic, Dalibor Nikolic, Igor Saveljic, Zarko Milosevic, Themis Exarchos, et al.
Computers and Fluids, 2013
SIFEM project: Finite element modeling of the cochlea
Velibor M. Isailovic, Milica Obradovic, Dalibor Nikolic, Igor Saveljic, Nenad D. Filipovic
13th IEEE International Conference on Bioinformatics and Bioengineering IEEE Bibe 2013, 2013
Computer modeling of restenosis and heating stent thermal effects in the coronary artery
Journal of the Serbian Society for Computational Mechanics, 2013
Computer modeling of atherosclerosis
Nenad Filipovic, Milos Radovic, Velibor Isailovic, Zarko Milosevic, Dalibor Nikolic, et al.
Computational Medicine in Data Mining and Modeling, 2013
Modeling of abdominal aortic aneurism rupture by using experimental bubble inflation test
Igor Koncar, Dalibor Nikolic, Suzana Pantovic, Mirko Rosic, Nikola Mijailovic, et al.
13th IEEE International Conference on Bioinformatics and Bioengineering IEEE Bibe 2013, 2013
Computer simulation of cervical tissue response to a hydraulic dilator device
Nenad Filipovic, Dalibor Nikolic, Igor Saveljic, Irena Tanaskovic, Nebojsa Zdravkovic, et al.
Theoretical Biology and Medical Modelling, 2013
Mapping cyclic stretch in the postpneumonectomy murine lung
Nenad Filipovic, Barry C. Gibney, Milos Kojic, Dalibor Nikolic, Velibor Isailovic, et al.
Journal of Applied Physiology, 2013
Plaque progression modeling by using computer simulation and imaging data
Nenad Filipovic, Dalibor Nikolic, Zarko Milosevic, Milos Radovic, Igor Saveljic, et al.
Proceedings of the IASTED International Conference on Biomedical Engineering Biomed 2013, 2013
Computer simulation of thromboexclusion of the complete aorta in the treatment of chronic type B aneurysm
Nenad Filipovic, Dalibor Nikolic, Igor Saveljic, Tijana Djukic, Oto Adjic, et al.
Computer Aided Surgery, 2013
Modeling and correlation of plaque size with histological and blood analysis data for animal rabbit experiments
Milos Radovic, Zarko Milosevic, Dalibor Nikolic, Igor Saveljic, Milica Obradovic, et al.
Eccomas Special Interest Conference Seeccm 2013 3rd South East European Conference on Computational Mechanics Proceedings an Iacm Special Interest Conference, 2013
Biomechanical modeling of knee for specific patients with chronic anterior cruciate ligament injury
Nenad Filipovic, Velibor Isailovic, Dalibor Nikolic, Aleksandar Peulic, Nikola Mijailovic, et al.
Computer Science and Information Systems, 2013
Patient specific multiscale modelling for plaque formation and progression
T.P. Exarchos, A. Sakellarios, P.K. Siogkas, D.I. Fotiadis, Z. Milosevic, et al.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, 2012
Software tools for image-based modeling of fluid-solid interaction in coronary arteries fusing ivus and angiography modalities
Journal of the Serbian Society for Computational Mechanics, 2012
Plaque formation and stent deployment with heating thermal effects in arteries
Journal of the Serbian Society for Computational Mechanics, 2012
Patient-specific prediction of coronary plaque growth from CTA angiography: A multiscale model for plaque formation and progression
O. Parodi, T. P. Exarchos, P. Marraccini, F. Vozzi, Z. Milosevic, et al.
IEEE Transactions on Information Technology in Biomedicine, 2012
ARTreat project: Three-dimensional numerical simulation of plaque formation and development in the arteries
Nenad Filipovic, Mirko Rosic, Irena Tanaskovic, Zarko Milosevic, Dalibor Nikolic, et al.
IEEE Transactions on Information Technology in Biomedicine, 2012
Computer model and clinical relevance of abdominal aorta aneurysm with compliant nonlinear material wall
Velibor Isailovic, Igor Koncar, Dejan Veljkovic, Danko Milasinovic, Dalibor Nikolic, et al.
Proceedings of the IEEE EMBS Region 8 International Conference on Information Technology Applications in Biomedicine ITAB, 2010

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