Zobrazeno 1 - 10
of 442
pro vyhledávání: '"Zhang, Hanxiao"'
Autor:
Dorent, Reuben, Khajavi, Roya, Idris, Tagwa, Ziegler, Erik, Somarouthu, Bhanusupriya, Jacene, Heather, LaCasce, Ann, Deissler, Jonathan, Ehrhardt, Jan, Engelson, Sofija, Fischer, Stefan M., Gu, Yun, Handels, Heinz, Kasai, Satoshi, Kondo, Satoshi, Maier-Hein, Klaus, Schnabel, Julia A., Wang, Guotai, Wang, Litingyu, Wald, Tassilo, Yang, Guang-Zhong, Zhang, Hanxiao, Zhang, Minghui, Pieper, Steve, Harris, Gordon, Kikinis, Ron, Kapur, Tina
Accurate assessment of lymph node size in 3D CT scans is crucial for cancer staging, therapeutic management, and monitoring treatment response. Existing state-of-the-art segmentation frameworks in medical imaging often rely on fully annotated dataset
Externí odkaz:
http://arxiv.org/abs/2408.10069
Autor:
Gan, Chunjing, Yang, Dan, Hu, Binbin, Zhang, Hanxiao, Li, Siyuan, Liu, Ziqi, Shen, Yue, Ju, Lin, Zhang, Zhiqiang, Gu, Jinjie, Liang, Lei, Zhou, Jun
In recent years, large language models (LLMs) have made remarkable achievements in various domains. However, the untimeliness and cost of knowledge updates coupled with hallucination issues of LLMs have curtailed their applications in knowledge inten
Externí odkaz:
http://arxiv.org/abs/2405.19893
Few-shot model compression aims to compress a large model into a more compact one with only a tiny training set (even without labels). Block-level pruning has recently emerged as a leading technique in achieving high accuracy and low latency in few-s
Externí odkaz:
http://arxiv.org/abs/2403.18708
This paper proposes a new pipeline for long-tail (LT) recognition. Instead of re-weighting or re-sampling, we utilize the long-tailed dataset itself to generate a balanced proxy that can be optimized through cross-entropy (CE). Specifically, a random
Externí odkaz:
http://arxiv.org/abs/2403.05170
Autor:
Guo, Qingpei, Xu, Furong, Zhang, Hanxiao, Ren, Wang, Ma, Ziping, Ju, Lin, Wang, Jian, Chen, Jingdong, Yang, Ming
Vision-language foundation models like CLIP have revolutionized the field of artificial intelligence. Nevertheless, VLM models supporting multi-language, e.g., in both Chinese and English, have lagged due to the relative scarcity of large-scale pretr
Externí odkaz:
http://arxiv.org/abs/2401.15896
Autor:
Nan, Yang, Xing, Xiaodan, Wang, Shiyi, Tang, Zeyu, Felder, Federico N, Zhang, Sheng, Ledda, Roberta Eufrasia, Ding, Xiaoliu, Yu, Ruiqi, Liu, Weiping, Shi, Feng, Sun, Tianyang, Cao, Zehong, Zhang, Minghui, Gu, Yun, Zhang, Hanxiao, Gao, Jian, Wang, Pingyu, Tang, Wen, Yu, Pengxin, Kang, Han, Chen, Junqiang, Lu, Xing, Zhang, Boyu, Mamalakis, Michail, Prinzi, Francesco, Carlini, Gianluca, Cuneo, Lisa, Banerjee, Abhirup, Xing, Zhaohu, Zhu, Lei, Mesbah, Zacharia, Jain, Dhruv, Mayet, Tsiry, Yuan, Hongyu, Lyu, Qing, Qayyum, Abdul, Mazher, Moona, Wells, Athol, Walsh, Simon LF, Yang, Guang
Airway-related quantitative imaging biomarkers are crucial for examination, diagnosis, and prognosis in pulmonary diseases. However, the manual delineation of airway trees remains prohibitively time-consuming. While significant efforts have been made
Externí odkaz:
http://arxiv.org/abs/2312.13752
Precise boundary segmentation of volumetric images is a critical task for image-guided diagnosis and computer-assisted intervention, especially for boundary confusion in clinical practice. However, U-shape networks cannot effectively resolve this cha
Externí odkaz:
http://arxiv.org/abs/2312.08323
Shape modeling of volumetric data is essential for medical image analysis and computer-aided intervention. In practice, automated shape reconstruction cannot always achieve satisfactory results due to limited image resolution and a lack of sufficient
Externí odkaz:
http://arxiv.org/abs/2312.06164
Autor:
Wu, Chan, Zhang, Hanxiao, Ju, Lin, Huang, Jinjing, Xiao, Youshao, Huan, Zhaoxin, Li, Siyuan, Meng, Fanzhuang, Liang, Lei, Zhang, Xiaolu, Zhou, Jun
Recently, various distributed strategies for large language model training have been proposed. However, these methods provided limited solutions for the trade-off between memory consumption and communication cost. In this paper, we rethink the impact
Externí odkaz:
http://arxiv.org/abs/2310.06003
Autor:
Zhang, Minghui, Wu, Yangqian, Zhang, Hanxiao, Qin, Yulei, Zheng, Hao, Tang, Wen, Arnold, Corey, Pei, Chenhao, Yu, Pengxin, Nan, Yang, Yang, Guang, Walsh, Simon, Marshall, Dominic C., Komorowski, Matthieu, Wang, Puyang, Guo, Dazhou, Jin, Dakai, Wu, Ya'nan, Zhao, Shuiqing, Chang, Runsheng, Zhang, Boyu, Lv, Xing, Qayyum, Abdul, Mazher, Moona, Su, Qi, Wu, Yonghuang, Liu, Ying'ao, Zhu, Yufei, Yang, Jiancheng, Pakzad, Ashkan, Rangelov, Bojidar, Estepar, Raul San Jose, Espinosa, Carlos Cano, Sun, Jiayuan, Yang, Guang-Zhong, Gu, Yun
Open international challenges are becoming the de facto standard for assessing computer vision and image analysis algorithms. In recent years, new methods have extended the reach of pulmonary airway segmentation that is closer to the limit of image r
Externí odkaz:
http://arxiv.org/abs/2303.05745