| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature Communications 13 (1), 1-17, 2022 | 150 | 2022 |
| 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 | 101 | 2019 |
| Robustness Recipes for Minimax Robust Optimization in Intensity Modulated Proton Therapy for Oropharyngeal Cancer Patients S van der Voort, S van de Water, Z Perkó, B Heijmen, D Lathouwers, ... International Journal of Radiation Oncology* Biology* Physics 95 (1), 163-170, 2016 | 88 | 2016 |
| 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 | 68 | 2020 |
| 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 | 64 | 2019 |
| Fast and accurate sensitivity analysis of IMPT treatment plans using Polynomial Chaos Expansion Z Perkó, SR van der Voort, S van de Water, CMH Hartman, M Hoogeman, ... Physics in Medicine and Biology 61 (12), 4646-4664, 2016 | 57 | 2016 |
| Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning SR van der Voort, F Incekara, MMJ Wijnenga, G Kapsas, R Gahrmann, ... Neuro-oncology 25 (2), 279-289, 2023 | 50 | 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 | 32 | 2021 |
| The Association Between the Extent of Glioblastoma Resection and Survival in Light of MGMT Promoter Methylation in 326 Patients With Newly Diagnosed IDH-Wildtype Glioblastoma F Incekara, M Smits, S Van Der Voort, HJ Dubbink, P Atmodimedjo, J Kros, ... Frontiers in Oncology 10, 2020 | 32 | 2020 |
| 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 38, 483-494, 2021 | 29 | 2021 |
| 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, 343-349, 2018 | 26 | 2018 |
| The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma SR van der Voort, F Incekara, MMJ Wijnenga, G Kapsas, R Gahrmann, ... Data in brief 37, 107191, 2021 | 23 | 2021 |
| Towards continuous learning for glioma segmentation with elastic weight consolidation K van Garderen, S van der Voort, F Incekara, M Smits, S Klein arXiv preprint arXiv:1909.11479, 2019 | 22 | 2019 |
| DeepDicomSort: an automatic sorting algorithm for brain magnetic resonance imaging data SR van der Voort, M Smits, S Klein, ... Neuroinformatics 19 (1), 159-184, 2021 | 19 | 2021 |
| Topographical Mapping of 436 Newly Diagnosed IDH Wildtype Glioblastoma With vs. Without MGMT Promoter Methylation F Incekara, SR van der Voort, HJ Dubbink, PN Atmodimedjo, ... Frontiers in Oncology 10, 596, 2020 | 17 | 2020 |
| Differences in spatial distribution between WHO 2016 low-grade glioma molecular subgroups MMJ Wijnenga, SR van der Voort, PJ French, S Klein, HJ Dubbink, ... Neuro-Oncology Advances 1 (1), vdz001, 2019 | 17 | 2019 |
| Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters IJ Pruis, SR Koene, SR van der Voort, F Incekara, AJPE Vincent, ... Neuro-Oncology Advances 4 (1), vdac023, 2022 | 13 | 2022 |
| 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 | 12 | 2021 |
| EASE: clinical implementation of automated tumor segmentation and volume quantification for adult low-grade glioma KA van Garderen, SR van der Voort, A Versteeg, M Koek, A Gutierrez, ... Frontiers in Medicine 8, 738425, 2021 | 5 | 2021 |
| Radiogenomic classification of the 1p/19q status in presumed low-grade gliomas SR van der Voort, R Gahrmann, MJ van den Bent, AJPE Vincent, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 5 | 2017 |
Stefan KleinBiomedical Imaging Group Rotterdam, Erasmus MC, the Netherlands在 erasmusmc.nl 的电子邮件经过验证
