Martijn P. A. Starmans
Martijn P. A. Starmans
Assistant Professor, Erasmus Medical Center, Rotterdam, The Netherlands
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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. …, 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
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
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
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
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
Workflow for optimal radiomics classification (WORC)
MPA Starmans, SR Van der Voort, T Phil, S Klein
Zenodo, URL:, doi 10.5281/zenodo.3840534, 2018
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
K Lekadir, A Feragen, AJ Fofanah, AF Frangi, A Buyx, A Emelie, A Lara, ...
arXiv preprint arXiv:2309.12325, 2023
The WORC database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies
MPA Starmans, MJM Timbergen, M Vos, GA Padmos, DJ Grünhagen, ...
medRxiv, 2021.08. 19.21262238, 2021
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
Classification of Prostate Cancer: High Grade versus Low Grade Using a Radiomics Approach
JM Castillo, MPA Starmans, S Klein, WJ Niessen, I Schoots, J Veenland
IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019
Automated Assessment of T2-Weighted MRI to Differentiate Malignant and Benign Primary Solid Liver Lesions in Noncirrhotic Livers Using Radiomics
MPA Starmans, RL Miclea, V Vilgrain, M Ronot, Y Purcell, J Verbeek, ...
Academic radiology 31 (3), 870-879, 2024
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