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Whybra, Philip; Zwanenburg, Alex; Andrearczyk, Vincent; Schaer, Roger; Apte, Aditya P; Ayotte, Alexandre; Baheti, Bhakti; Bakas, Spyridon; Bettinelli, Andrea; Boellaard, Ronald; Boldrini, Luca; Buvat, Irène; Cook, Gary J R; Dietsche, Florian; Dinapoli, Nicola; Gabryś, Hubert S; Goh, Vicky; Guckenberger, Matthias; Hatt, Mathieu; Hosseinzadeh, Mahdi; ... (2024). The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights. Radiology, 310(2) Radiological Society of North America RSNA 10.1148/radiol.231319
Maier-Hein, Lena; Reinke, Annika; Godau, Patrick; Tizabi, Minu D; Buettner, Florian; Christodoulou, Evangelia; Glocker, Ben; Isensee, Fabian; Kleesiek, Jens; Kozubek, Michal; Reyes, Mauricio; Riegler, Michael A; Wiesenfarth, Manuel; Kavur, A Emre; Sudre, Carole H; Baumgartner, Michael; Eisenmann, Matthias; Heckmann-Nötzel, Doreen; Rädsch, Tim; Acion, Laura; ... (2024). Metrics reloaded: recommendations for image analysis validation. Nature methods, 21(2), pp. 195-212. Nature Publishing Group 10.1038/s41592-023-02151-z
Reinke, Annika; Tizabi, Minu D; Baumgartner, Michael; Eisenmann, Matthias; Heckmann-Nötzel, Doreen; Kavur, A Emre; Rädsch, Tim; Sudre, Carole H; Acion, Laura; Antonelli, Michela; Arbel, Tal; Bakas, Spyridon; Benis, Arriel; Buettner, Florian; Cardoso, M Jorge; Cheplygina, Veronika; Chen, Jianxu; Christodoulou, Evangelia; Cimini, Beth A; Farahani, Keyvan; ... (2024). Understanding metric-related pitfalls in image analysis validation. Nature methods, 21(2), pp. 182-194. Nature Publishing Group 10.1038/s41592-023-02150-0
Pati, Sarthak; Baid, Ujjwal; Edwards, Brandon; Sheller, Micah; Wang, Shih-Han; Reina, G Anthony; Foley, Patrick; Gruzdev, Alexey; Karkada, Deepthi; Davatzikos, Christos; Sako, Chiharu; Ghodasara, Satyam; Bilello, Michel; Mohan, Suyash; Vollmuth, Philipp; Brugnara, Gianluca; Preetha, Chandrakanth J; Sahm, Felix; Maier-Hein, Klaus; Zenk, Maximilian; ... (2023). Author Correction: Federated learning enables big data for rare cancer boundary detection. Nature communications, 14(1), p. 436. Nature Publishing Group 10.1038/s41467-023-36188-7
Pati, Sarthak; Baid, Ujjwal; Edwards, Brandon; Sheller, Micah; Wang, Shih-Han; Reina, G Anthony; Foley, Patrick; Gruzdev, Alexey; Karkada, Deepthi; Davatzikos, Christos; Sako, Chiharu; Ghodasara, Satyam; Bilello, Michel; Mohan, Suyash; Vollmuth, Philipp; Brugnara, Gianluca; Preetha, Chandrakanth J; Sahm, Felix; Maier-Hein, Klaus; Zenk, Maximilian; ... (2022). Federated learning enables big data for rare cancer boundary detection. Nature communications, 13(1), p. 7346. Nature Publishing Group 10.1038/s41467-022-33407-5
Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Murugesan, Gowtham Krishnan; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph A; Daza, Laura; Gómez, Catalina; Arbeláez, Pablo; ... (2022). QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results. The journal of machine learning for biomedical imaging, 2022 MELBA
Menze, Bjoern; Isensee, Fabian; Wiest, Roland; Wiestler, Bene; Maier-Hein, Klaus; Reyes, Mauricio; Bakas, Spyridon (2021). Analyzing Magnetic Resonance Imaging Data from Glioma Patients using Deep Learning. Computerized medical imaging and graphics, 88, p. 101828. Elsevier 10.1016/j.compmedimag.2020.101828
