Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Xiang 'Anthony Chen"'
Autor:
Hongyan Gu, Chunxu Yang, Issa Al-kharouf, Shino Magaki, Nelli Lakis, Christopher Kazu Williams, Sallam Mohammad Alrosan, Ellie Kate Onstott, Wenzhong Yan, Negar Khanlou, Inma Cobos, Xinhai Robert Zhang, Neda Zarrin-Khameh, Harry V. Vinters, Xiang Anthony Chen, Mohammad Haeri
Publikováno v:
Acta Neuropathologica Communications, Vol 12, Iss 1, Pp 1-15 (2024)
Abstract Mitosis is a critical criterion for meningioma grading. However, pathologists’ assessment of mitoses is subject to significant inter-observer variation due to challenges in locating mitosis hotspots and accurately detecting mitotic figures
Externí odkaz:
https://doaj.org/article/5b8b379633eb4d5baddc254cb8cd856d
Autor:
Zihan Yan, Jiayi Zhou, Yufei Wu, Guanhong Liu, Danli Luo, Zihong Zhou, Haipeng Mi, Lingyun Sun, Xiang 'Anthony' Chen, Ye Tao, Yang Zhang, Guanyun Wang
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-29
Feet are the foundation of our bodies that not only perform locomotion but also participate in intent and emotion expression. Thus, foot gestures are an intuitive and natural form of expression for interpersonal interaction. Recent studies have mostl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28c34552ddaa39810d8c681ee7e8a1cc
https://doi.org/10.1145/3534620
https://doi.org/10.1145/3534620
Autor:
Xingyu \\'Bruce\\' Liu, Vladimir Kirilyuk, Xiuxiu Yuan, Alex Olwal, Peggy Chi, Xiang \\'Anthony\\' Chen, Ruofei Du
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f2b016c611f1d0d95ed7d21c54919d1
https://doi.org/10.1145/3544548.3581566
https://doi.org/10.1145/3544548.3581566
Autor:
Xinyue Gui, Koki Toda, Stela Hanbyeol Seo, Felix Martin Eckert, Chia-Ming Chang, Xiang 'Anthony Chen, Takeo Igarashi
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::601eac3cdfd25a851f34dd8bcc41ed93
https://doi.org/10.1145/3544549.3585629
https://doi.org/10.1145/3544549.3585629
Autor:
Noyan Evirgen, Xiang 'Anthony Chen
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Generative adversarial networks (GANs) have many application areas including image editing, domain translation, missing data imputation, and support for creative work. However, GANs are considered 'black boxes'. Specifically, the end-users have littl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef44b96491e3b87ddd20a1a3da30480a
https://doi.org/10.1145/3544548.3581226
https://doi.org/10.1145/3544548.3581226
Modern news aggregators do the hard work of organizing a large news stream, creating collections for a given news story with tens of source options. This paper shows that navigating large source collections for a news story can be challenging without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53a1bea5e6a6a9323aa23764d27d6287
http://arxiv.org/abs/2302.08997
http://arxiv.org/abs/2302.08997
Sighted and blind and low vision (BLV) creators alike use videos to communicate with broad audiences. Yet, video editing remains inaccessible to BLV creators. Our formative study revealed that current video editing tools make it difficult to access t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64a95ae8b9c8dcf1feb588c61d0ebafe
Autor:
Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang ‘Anthony’ Chen
Publikováno v:
Mitosis Domain Generalization and Diabetic Retinopathy Analysis ISBN: 9783031336577
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5db1e3d26d27fd57b7bdb3859f2f490b
https://doi.org/10.1007/978-3-031-33658-4_21
https://doi.org/10.1007/978-3-031-33658-4_21
Autor:
Hongyan Gu, Chunxu Yang, Mohammad Haeri, Jing Wang, Shirley Tang, Wenzhong Yan, Shujin He, Christopher Kazu Williams, Shino Magaki, Xiang 'Anthony' Chen
Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-resolution tumor images to search for pathology patterns of interest. However, existing AI-assisted tools have not realized this promised potential due to a l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b99237d50b337c5e23e94010bf7b156
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 5:1-25
Despite the promises of data-driven artificial intelligence (AI), little is known about how we can bridge the gulf between traditional physician-driven diagnosis and a plausible future of medicine automated by AI. Specifically, how can we involve AI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d2b0f2458a9c53e0d116ac312db1718
https://doi.org/10.1145/3449084
https://doi.org/10.1145/3449084