2023

Pati, Sarthak ; Thakur, Siddhesh P. ; Hamamcı, İbrahim Ethem ; Baid, Ujjwal ; Baheti, Bhakti ; Bhalerao, Megh ; Güley, Orhun ; Mouchtaris, Sofia ; Lang, David ; Thermos, Spyridon ; Gotkowski, Karol ; González, Camila ; Grenko, Caleb ; Getka, Alexander ; Edwards, Brandon ; Sheller, Micah ; Wu, Junwen ; Karkada, Deepthi ; Panchumarthy, Ravi ; Ahluwalia, Vinayak ; Zou, Chunrui ; Bashyam, Vishnu ; Li, Yuemeng ; Haghighi, Babak ; Chitalia, Rhea ; Abousamra, Shahira ; Kurc, Tahsin M. ; Gastounioti, Aimilia ; Er, Sezgin ; Bergman, Mark ; Saltz, Joel H. ; Fan, Yong ; Shah, Prashant ; Mukhopadhyay, Anirban ; Tsaftaris, Sotirios A. ; Menze, Bjoern ; Davatzikos, Christos ; Kontos, Despina ; Karargyris, Alexandros ; Umeton, Renato ; Mattson, Peter ; Bakas, Spyridon (2023)
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows.
In: Communications Engineering, 2 (1)
doi: 10.1038/s44172-023-00066-3
Artikel, Bibliographie

2022

González, Camila ; Gotkowski, Karol ; Fuchs, Moritz ; Bucher, Andreas ; Dadras, Armin ; Fischbach, Ricarda ; Kaltenborn, Isabel Jasmin ; Mukhopadhyay, Anirban (2022)
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation.
In: Medical Image Analysis, 82
doi: 10.1016/j.media.2022.102596
Artikel, Bibliographie

2021

Gotkowski, Karol ; Gonzalez, Camila ; Bucher, Andreas ; Mukhopadhyay, Anirban (2021)
M3d-CAM: a PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning.
German Workshop on Medical Image Computing. Regensburg, Germany (07.03.2021-09.03.2021)
doi: 10.1007/978-3-658-33198-6_52
Konferenzveröffentlichung, Bibliographie

Gonzalez, Camila ; Gotkowski, Karol ; Bucher, Andreas ; Fischbach, Ricarda ; Kaltenborn, Isabel ; Mukhopadhyay, Anirban (2021)
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation.
24th International Conference on Medical Image Computing and Computer-Assisted Intervention. Strasbourg, France (27.09.2021-01.10.2021)
doi: 10.1007/978-3-030-87234-2_29
Konferenzveröffentlichung, Bibliographie