Hill, Michael

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Number of items: 4.

Journal Article

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

Abayazeed, Aly H; Abbassy, Ahmed; Müeller, Michael; Hill, Michael; Qayati, Mohamed; Mohamed, Shady; Mekhaimar, Mahmoud; Raymond, Catalina; Dubey, Prachi; Nael, Kambiz; Rohatgi, Saurabh; Kapare, Vaishali; Kulkarni, Ashwini; Shiang, Tina; Kumar, Atul; Andratschke, Nicolaus; Willmann, Jonas; Brawanski, Alexander; De Jesus, Reordan; Tuna, Ibrahim; ... (2023). NS-HGlio: A generalizable and repeatable HGG segmentation and volumetric measurement AI algorithm for the longitudinal MRI assessment to inform RANO in trials and clinics. Neuro-oncology advances, 5(1), vdac184. Oxford University Press 10.1093/noajnl/vdac184

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

Ospel, Johanna Maria; Kashani N, Nima; Menon, Bijoy; Almekhlafi, Mohammed; Wilson, Alexis; Fischer, Urs; Campbell, Bruce; Yoshimura, Shinichi; Turjman, Francis; Cherian, Mathew; Heo, Ji-Hoe; Hill, Michael; Saposnik, Gustavo; Goyal, Mayank (2020). Endovascular Treatment Decision Making in Octogenarians and Nonagenarians : Insights From UNMASK EVT an International Multidisciplinary Study. Clinical neuroradiology, 30(1), pp. 45-50. Springer-Verlag 10.1007/s00062-019-00848-3

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