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pro vyhledávání: '"Adhinarta, Jason Ken"'
Autor:
Gu, Leslie, Adhinarta, Jason Ken, Bessmeltsev, Mikhail, Yang, Jiancheng, Zhang, Yongjie Jessica, Yin, Wenjie, Berger, Daniel, Lichtman, Jeff, Pfister, Hanspeter, Wei, Donglai
Accurately segmenting 3D curvilinear structures in medical imaging remains challenging due to their complex geometry and the scarcity of diverse, large-scale datasets for algorithm development and evaluation. In this paper, we use dendritic spine seg
Externí odkaz:
http://arxiv.org/abs/2404.14435
Autor:
Wan, Jia, Li, Wanhua, Adhinarta, Jason Ken, Banerjee, Atmadeep, Sjostedt, Evelina, Wu, Jingpeng, Lichtman, Jeff, Pfister, Hanspeter, Wei, Donglai
While imaging techniques at macro and mesoscales have garnered substantial attention and resources, microscale Volume Electron Microscopy (vEM) imaging, capable of revealing intricate vascular details, has lacked the necessary benchmarking infrastruc
Externí odkaz:
http://arxiv.org/abs/2401.13961
Autor:
Jin, Liang, Gu, Shixuan, Wei, Donglai, Adhinarta, Jason Ken, Kuang, Kaiming, Zhang, Yongjie Jessica, Pfister, Hanspeter, Ni, Bingbing, Yang, Jiancheng, Li, Ming
Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications. Prior studies either use in-house datasets that are inaccessible to communities, or focus on rib segmentation that neglects the cl
Externí odkaz:
http://arxiv.org/abs/2210.09309
Akademický článek
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Publikováno v:
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2023 Sep 11; Vol. PP. Date of Electronic Publication: 2023 Sep 11.
