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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
Saltz, Joel; Gupta, Rajarsi; Hou, Le; Kurc, Tahsin; Singh, Pankaj; Nguyen, Vu; Samaras, Dimitris; Shroyer, Kenneth R; Zhao, Tianhao; Batiste, Rebecca; Van Arnam, John (2018). Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images. Cell reports, 23(1), 181-193.e7. Cell Press 10.1016/j.celrep.2018.03.086
