| Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI M Arif, IG Schoots, J Castillo Tovar, CH Bangma, GP Krestin, MJ Roobol, ... European radiology 30, 6582-6592, 2020 | 82 | 2020 |
| Radiomics: data mining using quantitative medical image features MPA Starmans, SR van der Voort, JMC Tovar, JF Veenland, S Klein, ... Handbook of medical image computing and computer assisted intervention, 429-456, 2020 | 65 | 2020 |
| Automated Classification of Significant Prostate Cancer on MRI: A Systematic Review on the Performance of Machine Learning Applications JM Castillo T, M Arif, WJ Niessen, IG Schoots, JF Veenland Cancers 12 (6), 1606, 2020 | 62 | 2020 |
| A multi-center, multi-vendor study to evaluate the generalizability of a radiomics model for classifying prostate cancer: high grade vs. low grade JM Castillo T, MPA Starmans, M Arif, WJ Niessen, S Klein, CH Bangma, ... Diagnostics 11 (2), 369, 2021 | 35 | 2021 |
| Classification of clinically significant prostate cancer on multi-parametric MRI: A validation study comparing deep learning and radiomics JM Castillo T, M Arif, MPA Starmans, WJ Niessen, CH Bangma, ... Cancers 14 (1), 12, 2021 | 25* | 2021 |
| Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics Approach JM Castillo T, MPA Starmans, WJ Niessen, I Schoots, S Klein, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 13 | 2019 |
| Reproducible radiomics through automated machine learning validated on twelve clinical applications M Starmans, SR van der Voort, T Phil, MJM Timbergen, M Vos, ... arXiv preprint arXiv:2108.08618, 2021 | 11 | 2021 |
| Computer aided diagnosis of clinically significant prostate cancer in low-risk patients on multi-parametric MR images using deep learning M Arif, IG Schoots, MJ Roobol, W Niessen, JF Veenland 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1482-1485, 2020 | 5 | 2020 |
Wiro NiessenProfessor in Biomedical Image Analysis, Erasmus MC/TU DelftDirección de correo verificada de erasmusmc.nl
