Classification of malignant and benign liver tumors using a radiomics approach. - Martijn P. A. Starmans; Razvan L. Miclea; Sebastian R. van der Voort; Wiro J. Niessen; Maarten G. Thomeer; Stefan Klein 001 (Image Processing, 2018)

Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics Approach. - Jose M. Castillo T; Martijn P. A. Starmans; Wiro J. Niessen; Ivo Schoots; Stefan Klein 001; Jifke F. Veenland (ISBI, 2019)

The Effect of Preprocessing on Convolutional Neural Networks for Medical Image Segmentation. - K. B. de Raad; Karin A. van Garderen; Marion Smits; Sebastian R. van der Voort; Fatih Incekara; Edwin H. G. Oei; Jukka Hirvasniemi; Stefan Klein 001; Martijn P. A. Starmans (ISBI, 2021)

Reproducible radiomics through automated machine learning validated on twelve clinical applications. - Martijn P. A. Starmans; Sebastian R. van der Voort; Thomas Phil; Milea J. M. Timbergen; Melissa Vos; Guillaume A. Padmos; Wouter Kessels; David Hanff; Dirk J. Grünhagen; Cornelis Verhoef; Stefan Sleijfer; Martin J. van den Bent; et al. (CoRR, 2021)

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach. - Martijn P. A. Starmans; Milea J. M. Timbergen; Melissa Vos; Michel Renckens; Dirk J. Grünhagen; Geert J. L. H. van Leenders; Roy S. Dwarkasing; François E. J. A. Willemssen; Wiro J. Niessen; Cornelis Verhoef; Stefan Sleijfer; Jacob J. Visser; et al. (J. Digit. Imaging, 2022)

Auditing Unfair Biases in CNN-Based Diagnosis of Alzheimer's Disease. - Vien Ngoc Dang; Adrià Casamitjana; Martijn P. A. Starmans; Carlos Martín-Isla; Jerónimo Hernández-González; Karim Lekadir; Alzheimer's Disease Neuroimaging Initiative (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning. - Douwe J. Spaanderman; Martijn P. A. Starmans; Gonnie C. M. van Erp; David F. Hanff; Judith H. Sluijter; Anne-Rose W. Schut; Geert J. L. H. van Leenders; Cornelis Verhoef; Dirk J. Grünhagen; Wiro J. Niessen; Jacob J. Visser; Stefan Klein 001 (CoRR, 2024)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines. - Douwe J. Spaanderman; Matthew Marzetti; Xinyi Wan; Andrew F. Scarsbrook; Philip Robinson; Edwin H. G. Oei; Jacob J. Visser; Robert Hemke; Kirsten van Langevelde; David F. Hanff; Geert J. L. H. van Leenders; Cornelis Verhoef; et al. (CoRR, 2024)