| Mapping atmospheric aerosols with a citizen science network of smartphone spectropolarimeters F Snik, JHH Rietjens, A Apituley, H Volten, B Mijling, A Di Noia, ... Geophysical Research Letters 41 (20), 7351-7358, 2014 | 165 | 2014 |
| Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study A Saha, JS Bosma, JJ Twilt, B van Ginneken, A Bjartell, AR Padhani, ... The Lancet Oncology, 2024 | 100* | 2024 |
| Fully automatic deep learning framework for pancreatic ductal adenocarcinoma detection on computed tomography N Alves, M Schuurmans, G Litjens, JS Bosma, J Hermans, H Huisman Cancers 14 (2), 376, 2022 | 47 | 2022 |
| Semisupervised learning with report-guided pseudo labels for deep learning–based prostate cancer detection using biparametric MRI JS Bosma, A Saha, M Hosseinzadeh, I Slootweg, M de Rooij, H Huisman Radiology: Artificial Intelligence 5 (5), e230031, 2023 | 38* | 2023 |
| Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI Should Different Clinical Objectives Mandate Different Loss Functions? A Saha, J Bosma, J Linmans, M Hosseinzadeh, H Huisman arXiv preprint arXiv:2110.12889, 2021 | 13 | 2021 |
| Prediction variability to identify reduced AI performance in cancer diagnosis at MRI and CT N Alves, JS Bosma, KV Venkadesh, C Jacobs, Z Saghir, M de Rooij, ... Radiology 308 (3), e230275, 2023 | 11 | 2023 |
| The PI‑CAI challenge: public training and development dataset A Saha, JJ Twilt, JS Bosma, B van Ginneken, D Yakar, M Elschot, ... Zenodo, Jun, 2022 | 6 | 2022 |
| Complexities of deep learning-based undersampled MR image reconstruction CR Noordman, D Yakar, J Bosma, FFJ Simonis, H Huisman European radiology experimental 7 (1), 58, 2023 | 5 | 2023 |
| Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI—The PI-CAI Challenge, Medical Imaging with Deep Learning, 2023, short paper track A Saha, J Bosma, J Twilt, B Ginneken, D Yakar, M Elschot Aailable at: https://openreview. net/forum, 2023 | 5 | 2023 |
| Reproducibility of Training Deep Learning Models for Medical Image Analysis J Bosma, D Peeters, A Saha, Z Saghir, C Jacobs, H Huisman Medical Imaging with Deep Learning, 1269-1287, 2024 | 1 | 2024 |
| Uncertainty-Aware Semi-Supervised Learning for Prostate MRI Zonal Segmentation M Hosseinzadeh, A Saha, J Bosma, H Huisman arXiv preprint arXiv:2305.05984, 2023 | 1 | 2023 |
| Multimodal AI Combining Clinical and Imaging Inputs Improves Prostate Cancer Detection C Roest, D Yakar, DIR Sitar, JS Bosma, DB Rouw, SJ Fransen, ... Investigative Radiology 59 (12), 854-860, 2024 | | 2024 |
| Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority … JJ Twilt, A Saha, JS Bosma, B van Ginneken, A Bjartell, AR Padhani, ... European urology, 2024 | | 2024 |
| Deformable MRI Sequence Registration for AI-Based Prostate Cancer Diagnosis A Hering, S de Boer, A Saha, JJ Twilt, MP Heinrich, D Yakar, M de Rooij, ... International Workshop on Biomedical Image Registration, 148-162, 2024 | | 2024 |
| Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences SJ Fransen, C Roest, QY Van Lohuizen, JS Bosma, FFJ Simonis, ... European journal of radiology 175, 111470, 2024 | | 2024 |
| Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy A Moradi, F Zerka, JS Bosma, D Yakar, J Geerdink, H Huisman, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 412-421, 2024 | | 2024 |
| A multi-center validation of Prediction Uncertainty to select patients for prostate cancer AI diagnosis SJ Fransen, JS Bosma, QY van Lohuizen, C Roest, FFJ Simonis, ... Annual Meeting of the European Society of Radiology, 2024 | | 2024 |
| Erratum for: Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT N Alves, JS Bosma, KV Venkadesh, C Jacobs, Z Saghir, M de Rooij, ... Radiology 309 (1), e239023, 2023 | | 2023 |
