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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
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
