| Handbook of medical image computing and computer assisted intervention SK Zhou, D Rueckert, G Fichtinger Academic Press, 2019 | 349 | 2019 |
| FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ... bmj 388, 2025 | 338 | 2025 |
| A review of methods for trustworthy AI in medical imaging: The FUTURE-AI Guidelines H Kondylakis, R Osuala, X Puig-Bosch, N Lazrak, O Diaz, K Kushibar, ... IEEE Journal of Biomedical and Health Informatics, 2025 | 135* | 2025 |
| 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 | 117 | 2020 |
| Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm SR van der Voort, F Incekara, MMJ Wijnenga, G Kapas, M Gardeniers, ... Clinical Cancer Research 25 (24), 7455-7462, 2019 | 113 | 2019 |
| Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI M Vos, MPA Starmans, MJM Timbergen, SR van der Voort, GA Padmos, ... The British journal of surgery 106 (13), 1800, 2019 | 91 | 2019 |
| Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects H Kondylakis, V Kalokyri, S Sfakianakis, K Marias, M Tsiknakis, ... European Radiology Experimental 7 (1), 20, 2023 | 78 | 2023 |
| The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation KB de Raad, KA van Garderen, M Smits, SR van der Voort, F Incekara, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 655-658, 2021 | 63 | 2021 |
| 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 | 57 | 2021 |
| A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations L Garrucho, K Kushibar, CA Reidel, S Joshi, R Osuala, A Tsirikoglou, ... Scientific Data 12 (1), 453, 2025 | 51* | 2025 |
| Multicenter CT phantoms public dataset for radiomics reproducibility tests P Kalendralis, A Traverso, Z Shi, I Zhovannik, R Monshouwer, ... Medical physics 46 (3), 1512-1518, 2019 | 47 | 2019 |
| Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study MPA Starmans, FE Buisman, M Renckens, FEJA Willemssen, ... Clinical & Experimental Metastasis, 1-12, 2021 | 45 | 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, 2022 | 42 | 2022 |
| Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach M Starmans, MJM Timbergen, M Vos, M Renckens, DJ Grünhagen, ... Journal of digital imaging 35 (2), 127-136, 2022 | 35 | 2022 |
| FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections P Kalendralis, Z Shi, A Traverso, A Choudhury, M Sloep, I Zhovannik, ... Medical Physics 47 (11), 5931-5940, 2020 | 33 | 2020 |
| Classification of malignant and benign liver tumours using a radiomics approach MPA Starmans, R Miclea, SR van der Voort, WJ Niessen, S Klein, ... ECR 2019: Book of Abstracts. Insights Imaging. https://doi.org/10.1186 …, 2019 | 33 | 2019 |
| Classification of malignant and benign liver tumors using a radiomics approach MPA Starmans, RL Miclea, SR van der Voort, WJ Niessen, MG Thomeer, ... Medical Imaging 2018: Image Processing 10574, 105741D, 2018 | 33 | 2018 |
| Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics MJM Timbergen, MPA Starmans, GA Padmos, DJ Grünhagen, ... European Journal of Radiology 131, 109266, 2020 | 25 | 2020 |
| Reproducible radiomics through automated machine learning validated on twelve clinical applications MPA Starmans, SR van der Voort, T Phil, MJM Timbergen, M Vos, ... arXiv preprint arXiv:2108.08618, 2021 | 24 | 2021 |
| Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice BJ Boverhof, WK Redekop, D Bos, MPA Starmans, J Birch, A Rockall, ... Insights into Imaging 15 (1), 34, 2024 | 23 | 2024 |
Stefan KleinBiomedical Imaging Group Rotterdam, Erasmus MC, the NetherlandsVerified email at erasmusmc.nl
