| 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 | 160 | 2014 |
| Artificial intelligence and radiologists at prostate cancer detection in mri—the pi-cai challenge A Saha, J Bosma, J Twilt, B van Ginneken, D Yakar, M Elschot, J Veltman, ... Medical Imaging with Deep Learning, short paper track, 2023 | 45 | 2023 |
| 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 | 37 | 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 | 20* | 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 | 11 | 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 | 7 | 2023 |
| 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 |
| 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, 111470, 2024 | | 2024 |
| Deformable MRI Sequence Registration for AI-based Prostate Cancer Diagnosis A Hering, S de Boer, A Saha, JJ Twilt, D Yakar, M de Rooij, H Huisman, ... arXiv preprint arXiv:2404.09666, 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 |
| 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 | | 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 |
| 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 | | 2023 |
