Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Akünal, Ünal"'
Autor:
Schmidt, Kendall, Bearce, Benjamin, Chang, Ken, Coombs, Laura, Farahani, Keyvan, Elbatele, Marawan, Mouhebe, Kaouther, Marti, Robert, Zhang, Ruipeng, Zhang, Yao, Wang, Yanfeng, Hu, Yaojun, Ying, Haochao, Xu, Yuyang, Testagrose, Conrad, Demirer, Mutlu, Gupta, Vikash, Akünal, Ünal, Bujotzek, Markus, Maier-Hein, Klaus H., Qin, Yi, Li, Xiaomeng, Kalpathy-Cramer, Jayashree, Roth, Holger R.
Publikováno v:
Medical Image Analysis Volume 95, July 2024, 103206
The correct interpretation of breast density is important in the assessment of breast cancer risk. AI has been shown capable of accurately predicting breast density, however, due to the differences in imaging characteristics across mammography system
Externí odkaz:
http://arxiv.org/abs/2405.14900
Autor:
Bujotzek, Markus R., Akünal, Ünal, Denner, Stefan, Neher, Peter, Zenk, Maximilian, Frodl, Eric, Jaiswal, Astha, Kim, Moon, Krekiehn, Nicolai R., Nickel, Manuel, Ruppel, Richard, Both, Marcus, Döllinger, Felix, Opitz, Marcel, Persigehl, Thorsten, Kleesiek, Jens, Penzkofer, Tobias, Maier-Hein, Klaus, Braren, Rickmer, Bucher, Andreas
Objective: Federated Learning (FL) enables collaborative model training while keeping data locally. Currently, most FL studies in radiology are conducted in simulated environments due to numerous hurdles impeding its translation into practice. The fe
Externí odkaz:
http://arxiv.org/abs/2405.09409
Autor:
Schmidt K; American College of Radiology, USA. Electronic address: kschmidt@acr.org., Bearce B; The Massachusetts General Hospital, USA; University of Colorado, USA., Chang K; The Massachusetts General Hospital, USA., Coombs L; American College of Radiology, USA., Farahani K; National Institutes of Health National Cancer Institute, USA., Elbatel M; Computer Vision and Robotics Institute, University of Girona, Spain., Mouheb K; Computer Vision and Robotics Institute, University of Girona, Spain., Marti R; Computer Vision and Robotics Institute, University of Girona, Spain., Zhang R; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China; Shanghai AI Laboratory, China., Zhang Y; Shanghai AI Laboratory, China., Wang Y; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China; Shanghai AI Laboratory, China., Hu Y; Real Doctor AI Research Centre, Zhejiang University, China., Ying H; Real Doctor AI Research Centre, Zhejiang University, China; School of Public Health, Zhejiang University, China., Xu Y; Real Doctor AI Research Centre, Zhejiang University, China; College of Computer Science and Technology, Zhejiang University, China., Testagrose C; University of North Florida College of Computing Jacksonville, USA., Demirer M; Mayo Clinic Florida Radiology, USA., Gupta V; Mayo Clinic Florida Radiology, USA., Akünal Ü; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Bujotzek M; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Maier-Hein KH; Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany., Qin Y; Electronic and Computer Engineering, Hong Kong University of Science and Technology, China., Li X; Electronic and Computer Engineering, Hong Kong University of Science and Technology, China., Kalpathy-Cramer J; The Massachusetts General Hospital, USA; University of Colorado, USA., Roth HR; NVIDIA, USA.
Publikováno v:
Medical image analysis [Med Image Anal] 2024 Jul; Vol. 95, pp. 103206. Date of Electronic Publication: 2024 May 15.