Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kirchhoff, Yannick"'
Autor:
Rokuss, Maximilian, Kirchhoff, Yannick, Roy, Saikat, Kovacs, Balint, Ulrich, Constantin, Wald, Tassilo, Zenk, Maximilian, Denner, Stefan, Isensee, Fabian, Vollmuth, Philipp, Kleesiek, Jens, Maier-Hein, Klaus
Accurate segmentation of Multiple Sclerosis (MS) lesions in longitudinal MRI scans is crucial for monitoring disease progression and treatment efficacy. Although changes across time are taken into account when assessing images in clinical practice, m
Externí odkaz:
http://arxiv.org/abs/2409.13416
Autor:
Rokuss, Maximilian, Kovacs, Balint, Kirchhoff, Yannick, Xiao, Shuhan, Ulrich, Constantin, Maier-Hein, Klaus H., Isensee, Fabian
Automated lesion segmentation in PET/CT scans is crucial for improving clinical workflows and advancing cancer diagnostics. However, the task is challenging due to physiological variability, different tracers used in PET imaging, and diverse imaging
Externí odkaz:
http://arxiv.org/abs/2409.09478
Autor:
Kirchhoff, Yannick, Rokuss, Maximilian R., Roy, Saikat, Kovacs, Balint, Ulrich, Constantin, Wald, Tassilo, Zenk, Maximilian, Vollmuth, Philipp, Kleesiek, Jens, Isensee, Fabian, Maier-Hein, Klaus
Accurately segmenting thin tubular structures, such as vessels, nerves, roads or concrete cracks, is a crucial task in computer vision. Standard deep learning-based segmentation loss functions, such as Dice or Cross-Entropy, focus on volumetric overl
Externí odkaz:
http://arxiv.org/abs/2404.03010
Autor:
Yang, Kaiyuan, Musio, Fabio, Ma, Yihui, Juchler, Norman, Paetzold, Johannes C., Al-Maskari, Rami, Höher, Luciano, Li, Hongwei Bran, Hamamci, Ibrahim Ethem, Sekuboyina, Anjany, Shit, Suprosanna, Huang, Houjing, Prabhakar, Chinmay, de la Rosa, Ezequiel, Waldmannstetter, Diana, Kofler, Florian, Navarro, Fernando, Menten, Martin, Ezhov, Ivan, Rueckert, Daniel, Vos, Iris, Ruigrok, Ynte, Velthuis, Birgitta, Kuijf, Hugo, Hämmerli, Julien, Wurster, Catherine, Bijlenga, Philippe, Westphal, Laura, Bisschop, Jeroen, Colombo, Elisa, Baazaoui, Hakim, Makmur, Andrew, Hallinan, James, Wiestler, Bene, Kirschke, Jan S., Wiest, Roland, Montagnon, Emmanuel, Letourneau-Guillon, Laurent, Galdran, Adrian, Galati, Francesco, Falcetta, Daniele, Zuluaga, Maria A., Lin, Chaolong, Zhao, Haoran, Zhang, Zehan, Ra, Sinyoung, Hwang, Jongyun, Park, Hyunjin, Chen, Junqiang, Wodzinski, Marek, Müller, Henning, Shi, Pengcheng, Liu, Wei, Ma, Ting, Yalçin, Cansu, Hamadache, Rachika E., Salvi, Joaquim, Llado, Xavier, Estrada, Uma Maria Lal-Trehan, Abramova, Valeriia, Giancardo, Luca, Oliver, Arnau, Liu, Jialu, Huang, Haibin, Cui, Yue, Lin, Zehang, Liu, Yusheng, Zhu, Shunzhi, Patel, Tatsat R., Tutino, Vincent M., Orouskhani, Maysam, Wang, Huayu, Mossa-Basha, Mahmud, Zhu, Chengcheng, Rokuss, Maximilian R., Kirchhoff, Yannick, Disch, Nico, Holzschuh, Julius, Isensee, Fabian, Maier-Hein, Klaus, Sato, Yuki, Hirsch, Sven, Wegener, Susanne, Menze, Bjoern
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, character
Externí odkaz:
http://arxiv.org/abs/2312.17670
Autor:
Peretzke, Robin, Maier-Hein, Klaus, Bohn, Jonas, Kirchhoff, Yannick, Roy, Saikat, Oberli-Palma, Sabrina, Becker, Daniela, Lenga, Pavlina, Neher, Peter
Accurately identifying white matter tracts in medical images is essential for various applications, including surgery planning and tract-specific analysis. Supervised machine learning models have reached state-of-the-art solving this task automatical
Externí odkaz:
http://arxiv.org/abs/2305.18905
Autor:
Yang K; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Musio F; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.; Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland., Ma Y; Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland.; Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China., Juchler N; Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland., Paetzold JC; Department of Computing, Imperial College London, London, UK.; Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Munich, Germany., Al-Maskari R; Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Munich, Germany., Höher L; Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center, Munich, Germany., Li HB; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.; Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, USA., Hamamci IE; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Sekuboyina A; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Shit S; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.; School of Medicine, Technical University of Munich, Munich, Germany., Huang H; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Prabhakar C; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., de la Rosa E; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland., Waldmannstetter D; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.; Department of Informatics, Technical University of Munich, Munich, Germany., Kofler F; School of Medicine, Technical University of Munich, Munich, Germany.; Department of Informatics, Technical University of Munich, Munich, Germany.; Helmholtz AI, Helmholtz Munich, Munich, Germany., Navarro F; School of Medicine, Technical University of Munich, Munich, Germany.; Department of Informatics, Technical University of Munich, Munich, Germany., Menten M; Department of Informatics, Technical University of Munich, Munich, Germany.; Department of Computing, Imperial College London, London, UK., Ezhov I; Department of Informatics, Technical University of Munich, Munich, Germany., Rueckert D; Department of Informatics, Technical University of Munich, Munich, Germany.; Department of Computing, Imperial College London, London, UK., Vos I; Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands., Ruigrok Y; Department of Neurology, UMC Utrecht, Utrecht, the Netherlands., Velthuis B; Department of Radiology, UMC Utrecht, Utrecht, the Netherlands., Kuijf H; Image Sciences Institute, UMC Utrecht, Utrecht, the Netherlands., Hämmerli J; Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland., Wurster C; Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland., Bijlenga P; Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland., Westphal L; Department of Neurology, University Hospital of Zurich, Zurich, Switzerland., Bisschop J; Department of Physiology, University of Toronto, Toronto, Canada., Colombo E; Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland., Baazaoui H; Department of Neurology, University Hospital of Zurich, Zurich, Switzerland., Makmur A; Department of Diagnostic Imaging, National University Hospital, Singapore., Hallinan J; Department of Diagnostic Imaging, National University Hospital, Singapore., Wiestler B; School of Medicine, Technical University of Munich, Munich, Germany., Kirschke JS; School of Medicine, Technical University of Munich, Munich, Germany., Wiest R; Department of Diagnostic and Interventional Neuroradiology, University Hospital Berne and University of Berne, Berne, Switzerland., Montagnon E; Centre de Recherche du Centre Hospitalier de l'Université de Montreal (CRCHUM), Montreal, Canada., Letourneau-Guillon L; Centre de Recherche du Centre Hospitalier de l'Université de Montreal (CRCHUM), Montreal, Canada., Galdran A; Universitat Pompeu Fabra, Barcelona, Spain., Galati F; EURECOM, Biot, France., Falcetta D; EURECOM, Biot, France., Zuluaga MA; EURECOM, Biot, France., Lin C; Institute of Medical Technology, Peking University Health Science Center, Beijing, China., Zhao H; Institute of Medical Technology, Peking University Health Science Center, Beijing, China., Zhang Z; Hangzhou Genlight Medtech Co. Ltd., Hangzhou, China., Ra S; Department of Artificial Intelligence, Sungkyunkwan University, Seoul, Korea., Hwang J; Department of Artificial Intelligence, Sungkyunkwan University, Seoul, Korea., Park H; Department of Electrical and Computer Engineering, Sungkyunkwan University, Seoul, Korea., Chen J; Shanghai MediWorks Precision Instruments Co.,Ltd, Shanghai, China., Wodzinski M; Institute of Informatics, HES-SO Valais-Wallis, Switzerland.; Department of Measurement and Electronics, AGH University of Krakow, Poland., Müller H; Institute of Informatics, HES-SO Valais-Wallis, Switzerland., Shi P; Electronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China., Liu W; Electronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China., Ma T; Electronic & Information Engineering School, Harbin Institute of Technology (Shenzhen), Shenzhen, China.; Peng Cheng Laboratory, Shenzhen, China., Yalçin C; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Hamadache RE; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Salvi J; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Llado X; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Lal-Trehan Estrada UM; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Abramova V; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Giancardo L; Center for Precision Health, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, USA., Oliver A; Research Institute of Computer Vision and Robotics (ViCOROB), Universitat de Girona, Catalonia, Spain., Liu J; Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Huang H; Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Cui Y; Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China., Lin Z; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China., Liu Y; Department of Automation, Shanghai Jiao Tong University, Shanghai, China., Zhu S; School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China., Patel TR; Canon Stroke and Vascular Research Center, Buffalo, USA.; Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, USA.; Department of Neurosurgery, University at Buffalo, Buffalo, USA., Tutino VM; Canon Stroke and Vascular Research Center, Buffalo, USA.; Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, USA.; Department of Neurosurgery, University at Buffalo, Buffalo, USA.; Department of Biomedical Engineering, University at Buffalo, Buffalo, USA., Orouskhani M; Department of Radiology, University of Washington, Seattle, USA., Wang H; Department of Radiology, University of Washington, Seattle, USA., Mossa-Basha M; Department of Radiology, University of Washington, Seattle, USA., Zhu C; Department of Radiology, University of Washington, Seattle, USA., Rokuss MR; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany.; Faculty of Mathematics and Computer Science, Heidelberg University, Germany., Kirchhoff Y; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany.; Faculty of Mathematics and Computer Science, Heidelberg University, Germany.; HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany., Disch N; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany.; Faculty of Mathematics and Computer Science, Heidelberg University, Germany.; HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany., Holzschuh J; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany., Isensee F; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany.; Helmholtz Imaging, German Cancer Research Center, Heidelberg, Germany., Maier-Hein K; German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Germany.; Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital., Sato Y; LPIXEL Inc., Tokyo, Japan., Hirsch S; Center for Computational Health, Zurich University of Applied Sciences, Zurich, Switzerland., Wegener S; Department of Neurology, University Hospital of Zurich, Zurich, Switzerland., Menze B; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
Publikováno v:
ArXiv [ArXiv] 2024 Apr 29. Date of Electronic Publication: 2024 Apr 29.