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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
New implementation of data standards for AI research in precision oncology. Experience from EuCanImage
Teresa García-Lezana, Maciej Bobowicz, Santiago Frid, Michael Rutherford, Mikel Recuero, Katrine Riklund, Aldar Cabrelles, Marlena Rygusik, Lauren Fromont, Roberto Francischello, Emanuele Neri, Salvador Capella, Fred Prior, Jonathan Bona, Pilar Nicolas, Martijn P. A. Starmans, Karim Lekadir, Jordi Rambla, EuCanImage Consortium
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, łdots łdots, Martijn P A Starmans
Predicting survival after surgery for colorectal liver metastasis with deep learning
Diederik J. Höppener, Witali Aswolinskiy, David Tellez, Zhen Qian, Pieter M.H. Nierop, Martijn P. A. Starmans, Iris D. Nagtegaal, Michail Doukas, Johannes H.W. de Wilt, Dirk J. Grünhagen, Jeroen A.W.M. van der Laak, Peter Vermeulen, Francesco Ciompi, C. Verhoef
Interactive segmentation of Soft-Tissue Tumors on MRI and CT
Douwe J Spaanderman, Martijn P A Starmans, Gonnie C M van Erp, David F Hanff, Judith Sluiter, Anne-Rose W Schut, Geert J L H van Leenders, Cornelis Verhoef, Wiro J. Niessen, Jacob J Visser, Dirk J Grünhagen, Stefan Klein
Multi-center External Validation of a Radiomics Model Differentiating Between ALT and Lipoma Using Automatic and Minimally Interactive Segmentation Methods
Douwe J Spaanderman, Stefanie N Hakkesteegt, Anne-Rose W Schut, Christine Messiou, Robin Jones, Andrew Hayes, Leonardo Nardo, Yasser Gaber, Wiro J Niessen, Geert J L H van Leenders, Jacob J Visser, Stefan Klein, Dirk J Grünhagen, Cornelis Verhoef, Martijn P A Starmans
Radiology AI Deployment and Assessment Rubric (RADAR) for value-based AI in Radiology
Bart-Jan Boverhof, Ken Redekop, Daniel Bos, Martijn P. A. Starmans, Judy Birch, Andrea Rockall, Jacob J. Visser
Bias and Fairness in Radiomics: A Comparative Analysis of Machine Learning Models on Four Oncology Datasets
Natalia Herrera, Marina Camacho, Esmeralda Ruiz, Roberto Gatta, Karim Lekadir, Martijn P. A. Starmans
Comprehensive characterization of circulating tumor cells and cell-free DNA in patients with metastatic melanoma
M. K. Bos, J. Kraan, Martijn P. A. Starmans, J. Helmijr, A. Joosse, A. A. M. van der Veldt, P. A. W. te Boekhorst, J. W. M. Martens, S. M. Wilting, S. Sleijfer
Automatic quantification of complex regional pain syndrome using radiomics and deep learning based on thermography images
Else J. Bijl, Martijn P. A. Starmans, Jacob M. Mostert, Stefan Klein, F. J. P. M. Huygen, Cecile C. de Vos
Automatic quantification of complex regional pain syndrome using radiomics and deep learning based on thermography images