Zobrazeno 1 - 10
of 18 598
pro vyhledávání: '"Chen, Zhen"'
Autor:
Zhang, Yi, Chen, Zhen, Cheng, Chih-Hong, Ruan, Wenjie, Huang, Xiaowei, Zhao, Dezong, Flynn, David, Khastgir, Siddartha, Zhao, Xingyu
Text-to-Image (T2I) Diffusion Models (DMs) have garnered widespread attention for their impressive advancements in image generation. However, their growing popularity has raised ethical and social concerns related to key non-functional properties of
Externí odkaz:
http://arxiv.org/abs/2409.18214
To accelerate Magnetic Resonance (MR) imaging procedures, Multi-Contrast MR Reconstruction (MCMR) has become a prevalent trend that utilizes an easily obtainable modality as an auxiliary to support high-quality reconstruction of the target modality w
Externí odkaz:
http://arxiv.org/abs/2409.14113
Autor:
Chen, Zhen, Luo, Xingjian, Wu, Jinlin, Bai, Long, Lei, Zhen, Ren, Hongliang, Ourselin, Sebastien, Liu, Hongbin
Surgical phase recognition is critical for assisting surgeons in understanding surgical videos. Existing studies focused more on online surgical phase recognition, by leveraging preceding frames to predict the current frame. Despite great progress, t
Externí odkaz:
http://arxiv.org/abs/2409.12467
Homogenization for non-local operators in periodic environments has been studied intensively. So far, these works are mainly devoted to the qualitative results, that is, to determine explicitly the operators in the limit. To the best of authors' know
Externí odkaz:
http://arxiv.org/abs/2409.08120
Autor:
Tian, Qingyao, Chen, Zhen, Liao, Huai, Huang, Xinyan, Li, Lujie, Ourselin, Sebastien, Liu, Hongbin
Single-image depth estimation is essential for endoscopy tasks such as localization, reconstruction, and augmented reality. Most existing methods in surgical scenes focus on in-domain depth estimation, limiting their real-world applicability. This co
Externí odkaz:
http://arxiv.org/abs/2409.05442
Vision-based surgical navigation has received increasing attention due to its non-invasive, cost-effective, and flexible advantages. In particular, a critical element of the vision-based navigation system is tracking surgical instruments. Compared wi
Externí odkaz:
http://arxiv.org/abs/2409.02598
Autor:
Das, Adrito, Khan, Danyal Z., Psychogyios, Dimitrios, Zhang, Yitong, Hanrahan, John G., Vasconcelos, Francisco, Pang, You, Chen, Zhen, Wu, Jinlin, Zou, Xiaoyang, Zheng, Guoyan, Qayyum, Abdul, Mazher, Moona, Razzak, Imran, Li, Tianbin, Ye, Jin, He, Junjun, Płotka, Szymon, Kaleta, Joanna, Yamlahi, Amine, Jund, Antoine, Godau, Patrick, Kondo, Satoshi, Kasai, Satoshi, Hirasawa, Kousuke, Rivoir, Dominik, Pérez, Alejandra, Rodriguez, Santiago, Arbeláez, Pablo, Stoyanov, Danail, Marcus, Hani J., Bano, Sophia
The field of computer vision applied to videos of minimally invasive surgery is ever-growing. Workflow recognition pertains to the automated recognition of various aspects of a surgery: including which surgical steps are performed; and which surgical
Externí odkaz:
http://arxiv.org/abs/2409.01184
Open-vocabulary semantic segmentation aims to segment and recognize semantically meaningful regions based on text-based descriptions during inference. A typical solution to address this task is to leverage powerful vision-language models (VLMs), such
Externí odkaz:
http://arxiv.org/abs/2408.14776
Autor:
Lou, Zhenye, Xu, Qing, Jiang, Zekun, He, Xiangjian, Chen, Zhen, Wang, Yi, Li, Chenxin, He, Maggie M., Duan, Wenting
Domain-generalized nuclei segmentation refers to the generalizability of models to unseen domains based on knowledge learned from source domains and is challenged by various image conditions, cell types, and stain strategies. Recently, the Segment An
Externí odkaz:
http://arxiv.org/abs/2408.11787
Autor:
Pan, Li, Zhang, Yupei, Yang, Qiushi, Li, Tan, Xing, Xiaohan, Yeung, Maximus C. F., Chen, Zhen
Recently, multimodal deep learning, which integrates histopathology slides and molecular biomarkers, has achieved a promising performance in glioma grading. Despite great progress, due to the intra-modality complexity and inter-modality heterogeneity
Externí odkaz:
http://arxiv.org/abs/2408.08527