Items where Author is "Friedrich, CM"
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Number of items: 2.
Eisenmann, M, Reinke, A, Weru, V, Tizabi, MD, Isensee, F, Adler, TJ, Ali, S, Andrearczyk, V, Aubreville, M, Baid, U, Bakas, S, Balu, N, Bano, S, Bernal, J, Bodenstedt, S, Casella, A, Cheplygina, V, Daum, M, De Bruijne, M, Depeursinge, A, Dorent, R, Egger, J, Ellis, DG, Engelhardt, S, Ganz, M, Ghatwary, N, Girard, G, Godau, P, Gupta, A, Hansen, L, Harada, K, Heinrich, M, Heller, N, Hering, A, Huaulmé, A, Jannin, P, Kavur, AE, Kodym, O, Kozubek, M, Li, J, Li, H, Ma, J, Martín-Isla, C, Menze, B, Noble, A, Oreiller, V, Padoy, N, Pati, S, Payette, K, Rädsch, T, Rafael-Patiño, J, Bawa, VS, Speidel, S, Sudre, CH, Van Wijnen, K, Wagner, M, Wei, D, Yamlahi, A, Yap, MH 
ORCID: https://orcid.org/0000-0001-7681-4287, Yuan, C, Zenk, M, Zia, A, Zimmerer, D, Aydogan, D, Bhattarai, B, Bloch, L, Brüngel, R, Cho, J, Choi, C, Dou, Q, Ezhov, I, Friedrich, CM, Fuller, C, Gaire, RR, Galdran, A, García Faura, A, Grammatikopoulou, M, Hong, S, Jahanifar, M, Jang, I, Kadkhodamohammadi, A, Kang, I, Kofler, F, Kondo, S, Kuijf, H, Li, M, Luu, M, Martinčič, T, Morais, P, Naser, MA, Oliveira, B, Owen, D, Pang, S, Park, J, Park, S, Płotka, S, Puybareau, E, Rajpoot, N, Ryu, K and Saeed, N
(2023)
Why is the winner the best?
In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 17 June 2023 - 24 June 2023, Vancouver, Canada.
ORCID: https://orcid.org/0000-0001-7681-4287, Yuan, C, Zenk, M, Zia, A, Zimmerer, D, Aydogan, D, Bhattarai, B, Bloch, L, Brüngel, R, Cho, J, Choi, C, Dou, Q, Ezhov, I, Friedrich, CM, Fuller, C, Gaire, RR, Galdran, A, García Faura, A, Grammatikopoulou, M, Hong, S, Jahanifar, M, Jang, I, Kadkhodamohammadi, A, Kang, I, Kofler, F, Kondo, S, Kuijf, H, Li, M, Luu, M, Martinčič, T, Morais, P, Naser, MA, Oliveira, B, Owen, D, Pang, S, Park, J, Park, S, Płotka, S, Puybareau, E, Rajpoot, N, Ryu, K and Saeed, N
Yap, MH ORCID: https://orcid.org/0000-0001-7681-4287
Hachiuma, R
Alavi, A
Brüngel, R
Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120
Goyal, M
Zhu, H
et al.
ORCID: https://orcid.org/0000-0001-7681-4287
Hachiuma, R
Alavi, A
Brüngel, R
Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120
Goyal, M
Zhu, H
et al.
Yap, MH ORCID: https://orcid.org/0000-0001-7681-4287, Hachiuma, R, Alavi, A, Brüngel, R, Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120, Goyal, M, Zhu, H, Rückert, J, Olshansky, M, Huang, X, Saito, H, Hassanpour, S, Friedrich, CM, Ascher, DB, Song, A, Kajita, H, Gillespie, D ORCID: https://orcid.org/0000-0002-3783-9454, Reeves, ND ORCID: https://orcid.org/0000-0001-9213-4580, Pappachan, JM, O'Shea, C and Frank, E
(2021)
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.
Computers in Biology and Medicine, 135.
ISSN 0010-4825
ORCID: https://orcid.org/0000-0001-7681-4287, Hachiuma, R, Alavi, A, Brüngel, R, Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120, Goyal, M, Zhu, H, Rückert, J, Olshansky, M, Huang, X, Saito, H, Hassanpour, S, Friedrich, CM, Ascher, DB, Song, A, Kajita, H, Gillespie, D ORCID: https://orcid.org/0000-0002-3783-9454, Reeves, ND ORCID: https://orcid.org/0000-0001-9213-4580, Pappachan, JM, O'Shea, C and Frank, E