Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bujotzek, Markus"'
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:
Denner, Stefan, Zimmerer, David, Bounias, Dimitrios, Bujotzek, Markus, Xiao, Shuhan, Kausch, Lisa, Schader, Philipp, Penzkofer, Tobias, Jäger, Paul F., Maier-Hein, Klaus
Content-based image retrieval (CBIR) has the potential to significantly improve diagnostic aid and medical research in radiology. Current CBIR systems face limitations due to their specialization to certain pathologies, limiting their utility. In res
Externí odkaz:
http://arxiv.org/abs/2403.06567
Autor:
Denner, Stefan, Scherer, Jonas, Kades, Klaus, Bounias, Dimitrios, Schader, Philipp, Kausch, Lisa, Bujotzek, Markus, Bucher, Andreas Michael, Penzkofer, Tobias, Maier-Hein, Klaus
In the rapidly evolving field of medical imaging, machine learning algorithms have become indispensable for enhancing diagnostic accuracy. However, the effectiveness of these algorithms is contingent upon the availability and organization of high-qua
Externí odkaz:
http://arxiv.org/abs/2309.17285
Publikováno v:
2014 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)
2014 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)
ISBN:978-1-4799-7528-0
ISBN:978-1-4799-7525-9
ISBN:978-1-4799-7528-0
ISBN:978-1-4799-7525-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b47cffed58f31451e621173568575be
https://hdl.handle.net/20.500.11850/90906
https://hdl.handle.net/20.500.11850/90906
Publikováno v:
IEEE Transactions on Power Delivery. Oct2014, Vol. 29 Issue 4, p1806-1813. 8p.
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.