Steven Hicks

@simulamet.no

SimulaMet

Steven Hicks

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence
5475

Scholar Citations

33

Scholar h-index

66

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Predicting high-cost healthcare users: development and external validation of multivariable models using the HUNT and Tromsø studies linked to Norwegian health registries
    B Berg, S Hicks, V Thambawita, T Rysstad, Q Chen, M Grotle
    BMC Health Services Research 26 (1), 518 , 2026
    2026
  • ImageCLEF 2026: Multimodal Challenges in Medicine, Science, Agritech, and Security
    B Ionescu, H Müller, DC Stanciu, A Radzhabov, AGS de Herrera, ...
    European Conference on Information Retrieval, 336-344 , 2026
    2026
  • Low-Dimension Representation Estimation in Principal Component Analysis Under Missing Data
    TT Do, V Hua, U Dang, T Nguyen, S Hicks, P Halvorsen, MA Riegler, ...
    International Conference on Multimedia Modeling, 346-360 , 2026
    2026
  • Synthesizing Norwegian Dialects in Low-Resource TTS
    V Langø, Z Hassan, S Hicks
    International Conference on Multimedia Modeling, 572-583 , 2026
    2026
  • Overview of imageclef 2025: Multimedia retrieval in medical, social media and content recommendation applications
    B Ionescu, H Müller, DC Stanciu, AG Andrei, A Radzhabov, Y Prokopchuk, ...
    International Conference of the Cross-Language Evaluation Forum for European … , 2025
    2025
    Citations: 11
  • Medico 2025: Visual Question Answering for Gastrointestinal Imaging
    S Gautam, V Thambawita, M Riegler, P Halvorsen, S Hicks
    arXiv preprint arXiv:2508.10869 , 2025
    2025
    Citations: 5
  • Prompt to Polyp: Medical Text-Conditioned Image Synthesis with Diffusion Models
    M Chaichuk, S Gautam, S Hicks, E Tutubalina
    arXiv preprint arXiv:2505.05573 , 2025
    2025
    Citations: 7
  • ARTIFICIAL INTELLIGENCE MODEL ASSESSING THE CLEANLINESS OF THE UPPER GASTROINTESTINAL TRACT USING PEACE SCALE–THE FEASIBILITY STUDY
    M Romanczyk, S Parasa, P Sharma, K Budzyn, M Lesinska, M Machaj, ...
    Gastrointestinal Endoscopy 101 (5), S223 , 2025
    2025
  • Using an AI-based avatar for interviewer training at Children’s Advocacy Centers: Proof of Concept
    GA Baugerud, MS Johnson, R Dianiska, RK Røed, MB Powell, ME Lamb, ...
    Child maltreatment 30 (2), 242-252 , 2025
    2025
    Citations: 23
  • ImageCLEF 2025: multimedia retrieval in medical, social media and content recommendation applications
    B Ionescu, H Müller, DC Stanciu, A Idrissi-Yaghir, A Radzhabov, ...
    European Conference on Information Retrieval, 398-406 , 2025
    2025
    Citations: 4
  • Artificial intelligence model assessing the cleanliness of the upper gastrointestinal tract using PEACE scale–the feasibility study
    M Romańczyk, S Parasa, P Sharma, K Budzyń, M Lesińska, M Machaj, ...
    Endoscopy 57 (S 02), OP306 , 2025
    2025
  • Overview of ImageCLEFmedical 2025–Visual Question Answering and Synthetic Image Generation for Gastrointestinal Tract
    S Gautam, V Thambawita, M Riegler, P Halvorsen, S Hicks
    2025
  • Population averaging of machine learning attention maps from electrocardiograms
    N Regginou, J Isaksen, M Nørregaard, C Graff, SA Hicks, V Thambawita, ...
    Journal of Electrocardiology 91, 153963 , 2025
    2025
  • Explainable AI (XAI) in ECG analysis: Transparency, interpretation and explanation
    JK Kanters, J Isaksen, M Nørregaard, C Graff, SA Hicks, V Thambawita, ...
    Journal of Electrocardiology 91, 153943 , 2025
    2025
  • Masking Convoluted Neural Networks improve P-wave analysis
    H Zhang, XV Margalef, V Cappozzo, J Isaksen, M Nørregaard, C Graff, ...
    Journal of Electrocardiology 91, 153996 , 2025
    2025
  • Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps
    AM Storås, S Mæland, JL Isaksen, SA Hicks, V Thambawita, C Graff, ...
    Journal of the American Medical Informatics Association 32 (1), 79-88 , 2025
    2025
    Citations: 8
  • Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges
    D Jha, V Sharma, D Banik, D Bhattacharya, K Roy, SA Hicks, NK Tomar, ...
    Medical image analysis 99, 103307 , 2025
    2025
    Citations: 10
  • Interplay between federated learning and explainable artificial intelligence: a scoping review
    LM Lopez-Ramos, F Leiser, A Rastogi, S Hicks, I Strümke, VI Madai, ...
    arXiv preprint arXiv:2411.05874 , 2024
    2024
    Citations: 24
  • Kvasir-vqa: A text-image pair gi tract dataset
    S Gautam, AM Storås, C Midoglu, SA Hicks, V Thambawita, P Halvorsen, ...
    Proceedings of the First International Workshop on Vision-Language Models … , 2024
    2024
    Citations: 41
  • One benchmarking cycle wraps up, and the next ramps up: News from the MediaEval Multimedia Benchmark
    MG Constantin, S Hicks, M Larson
    ACM SIGMultimedia Records 16 (4), 1-1 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • On evaluation metrics for medical applications of artificial intelligence
    SA Hicks, I Strümke, V Thambawita, M Hammou, MA Riegler, P Halvorsen, ...
    Scientific reports 12 (1), 5979 , 2022
    2022
    Citations: 1294
  • HyperKvasir , a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
    H Borgli, V Thambawita, PH Smedsrud, S Hicks, D Jha, SL Eskeland, ...
    Scientific data 7 (1), 283 , 2020
    2020
    Citations: 696
  • Kvasir-Capsule , a video capsule endoscopy dataset
    PH Smedsrud, V Thambawita, SA Hicks, H Gjestang, OO Nedrejord, ...
    Scientific Data 8 (1), 142 , 2021
    2021
    Citations: 341
  • Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
    D Jha, S Ali, K Emanuelsen, SA Hicks, V Thambawita, E Garcia-Ceja, ...
    International Conference on Multimedia Modeling, 218-229 , 2021
    2021
    Citations: 186
  • Impact of image resolution on deep learning performance in endoscopy image classification: An experimental study using a large dataset of endoscopic images
    V Thambawita, I Strümke, SA Hicks, P Halvorsen, S Parasa, MA Riegler
    Diagnostics 11 (12), 2183 , 2021
    2021
    Citations: 182
  • SinGAN-Seg: Synthetic training data generation for medical image segmentation
    V Thambawita, P Salehi, SA Sheshkal, SA Hicks, HL Hammer, S Parasa, ...
    PloS one 17 (5), e0267976 , 2022
    2022
    Citations: 167
  • DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
    V Thambawita, JL Isaksen, SA Hicks, J Ghouse, G Ahlberg, A Linneberg, ...
    Scientific reports 11 (1), 21896 , 2021
    2021
    Citations: 123
  • Machine learning-based analysis of sperm videos and participant data for male fertility prediction
    SA Hicks, JM Andersen, O Witczak, V Thambawita, P Halvorsen, ...
    Scientific reports 9 (1), 16770 , 2019
    2019
    Citations: 119
  • Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
    S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ...
    Scientific Reports 14 (1), 2032 , 2024
    2024
    Citations: 115
  • Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
    SA Hicks, JL Isaksen, V Thambawita, J Ghouse, G Ahlberg, A Linneberg, ...
    Scientific reports 11 (1), 10949 , 2021
    2021
    Citations: 106
  • Overview of the imageclef 2023: Multimedia retrieval in medical, social media and internet applications
    B Ionescu, H Müller, AM Drăgulinescu, W Yim, A Ben Abacha, N Snider, ...
    International Conference of the Cross-Language Evaluation Forum for European … , 2023
    2023
    Citations: 102
  • Artificial intelligence in the fertility clinic: status, pitfalls and possibilities
    MA Riegler, MH Stensen, O Witczak, JM Andersen, SA Hicks, HL Hammer, ...
    Human Reproduction 36 (9), 2429-2442 , 2021
    2021
    Citations: 99
  • Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
    R Khadka, D Jha, S Hicks, V Thambawita, MA Riegler, S Ali, P Halvorsen
    Computers in Biology and Medicine 143, 105227 , 2022
    2022
    Citations: 91
  • Pmdata: a sports logging dataset
    V Thambawita, SA Hicks, H Borgli, HK Stensland, D Jha, MK Svensen, ...
    Proceedings of the 11th ACM Multimedia Systems Conference, 231-236 , 2020
    2020
    Citations: 88
  • The EndoTect 2020 challenge: evaluation and comparison of classification, segmentation and inference time for endoscopy
    SA Hicks, D Jha, V Thambawita, P Halvorsen, HL Hammer, MA Riegler
    International Conference on Pattern Recognition, 263-274 , 2021
    2021
    Citations: 78
  • Visual sentiment analysis from disaster images in social media
    SZ Hassan, K Ahmad, S Hicks, P Halvorsen, A Al-Fuqaha, N Conci, ...
    Sensors 22 (10), 3628 , 2022
    2022
    Citations: 77
  • Gastrovision: A multi-class endoscopy image dataset for computer aided gastrointestinal disease detection
    D Jha, V Sharma, N Dasu, NK Tomar, S Hicks, MK Bhuyan, PK Das, ...
    Workshop on machine learning for multimodal healthcare data, 125-140 , 2023
    2023
    Citations: 75
  • Visem: A multimodal video dataset of human spermatozoa
    TB Haugen, SA Hicks, JM Andersen, O Witczak, HL Hammer, R Borgli, ...
    Proceedings of the 10th ACM Multimedia Systems Conference, 261-266 , 2019
    2019
    Citations: 74
  • A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
    D Jha, S Ali, S Hicks, V Thambawita, H Borgli, PH Smedsrud, T de Lange, ...
    Medical image analysis 70, 102007 , 2021
    2021
    Citations: 65
  • Psykose: A motor activity database of patients with schizophrenia
    P Jakobsen, E Garcia-Ceja, LA Stabell, KJ Oedegaard, JO Berle, ...
    2020 IEEE 33rd International Symposium on Computer-Based Medical Systems … , 2020
    2020
    Citations: 63