Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Xing, Xiaodan"'
Autor:
Syahmi, Amir, Lu, Xiangrong, Li, Yinxuan, Yao, Haoxuan, Jiang, Hanjun, Acharya, Ishita, Wang, Shiyi, Nan, Yang, Xing, Xiaodan, Yang, Guang
Recent advancements in medical imaging and artificial intelligence (AI) have greatly enhanced diagnostic capabilities, but the development of effective deep learning (DL) models is still constrained by the lack of high-quality annotated datasets. The
Externí odkaz:
http://arxiv.org/abs/2409.03087
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities across diverse tasks, garnering significant attention in AI communities. However, their performance and reliability in specialized domains such as m
Externí odkaz:
http://arxiv.org/abs/2408.08704
Autor:
Jiang, Caiwen, Wang, Tianyu, Xing, Xiaodan, Liu, Mianxin, Yang, Guang, Ding, Zhongxiang, Shen, Dinggang
Ischemic stroke is a severe condition caused by the blockage of brain blood vessels, and can lead to the death of brain tissue due to oxygen deprivation. Thrombectomy has become a common treatment choice for ischemic stroke due to its immediate effec
Externí odkaz:
http://arxiv.org/abs/2408.00940
Autor:
Jiang, Caiwen, Xing, Xiaodan, Ou, Zaixin, Liu, Mianxin, Simon, Walsh, Yang, Guang, Shen, Dinggang
The progression of Idiopathic Pulmonary Fibrosis (IPF) significantly correlates with higher patient mortality rates. Early detection of IPF progression is critical for initiating timely treatment, which can effectively slow down the advancement of th
Externí odkaz:
http://arxiv.org/abs/2408.00938
Autor:
Xing, Xiaodan, Tang, Chunling, Murdoch, Siofra, Papanastasiou, Giorgos, Guo, Yunzhe, Xiao, Xianglu, Cross-Zamirski, Jan, Schönlieb, Carola-Bibiane, Liang, Kristina Xiao, Niu, Zhangming, Fang, Evandro Fei, Wang, Yinhai, Yang, Guang
Immunofluorescent (IF) imaging is crucial for visualizing biomarker expressions, cell morphology and assessing the effects of drug treatments on sub-cellular components. IF imaging needs extra staining process and often requiring cell fixation, there
Externí odkaz:
http://arxiv.org/abs/2407.17882
Autor:
Wang, Shiyi, Nan, Yang, Zhang, Sheng, Felder, Federico, Xing, Xiaodan, Fang, Yingying, Del Ser, Javier, Walsh, Simon L F, Yang, Guang
In pulmonary tracheal segmentation, the scarcity of annotated data is a prevalent issue in medical segmentation. Additionally, Deep Learning (DL) methods face challenges: the opacity of 'black box' models and the need for performance enhancement. Our
Externí odkaz:
http://arxiv.org/abs/2407.03542
Autor:
Zhang, Sheng, Nan, Yang, Fang, Yingying, Wang, Shiyi, Xing, Xiaodan, Gao, Zhifan, Yang, Guang
Automatic lung organ segmentation on CT images is crucial for lung disease diagnosis. However, the unlimited voxel values and class imbalance of lung organs can lead to false-negative/positive and leakage issues in advanced methods. Additionally, som
Externí odkaz:
http://arxiv.org/abs/2406.16189
Autor:
Xing, Xiaodan, Murdoch, Siofra, Tang, Chunling, Papanastasiou, Giorgos, Cross-Zamirski, Jan, Guo, Yunzhe, Xiao, Xianglu, Schönlieb, Carola-Bibiane, Wang, Yinhai, Yang, Guang
Cell imaging assays utilizing fluorescence stains are essential for observing sub-cellular organelles and their responses to perturbations. Immunofluorescent staining process is routinely in labs, however the recent innovations in generative AI is ch
Externí odkaz:
http://arxiv.org/abs/2407.09507
In medical imaging, particularly in early disease detection and prognosis tasks, discerning the rationale behind an AI model's predictions is crucial for evaluating the reliability of its decisions. Conventional explanation methods face challenges in
Externí odkaz:
http://arxiv.org/abs/2406.18552
Autor:
Xing, Xiaodan, Shi, Fadong, Huang, Jiahao, Wu, Yinzhe, Nan, Yang, Zhang, Sheng, Fang, Yingying, Roberts, Mike, Schönlieb, Carola-Bibiane, Del Ser, Javier, Yang, Guang
Generative artificial intelligence (AI) technologies and large models are producing realistic outputs across various domains, such as images, text, speech, and music. Creating these advanced generative models requires significant resources, particula
Externí odkaz:
http://arxiv.org/abs/2405.09597