Zobrazeno 1 - 10
of 1 631
pro vyhledávání: '"Wang,Lisheng"'
Temporal knowledge graph (TKG) reasoning that infers future missing facts is an essential and challenging task. Predicting future events typically relies on closely related historical facts, yielding more accurate results for repetitive or periodic e
Externí odkaz:
http://arxiv.org/abs/2411.01477
Autor:
Zhang, Yuyang, Wang, Lisheng, Wu, Weijie, Wang, Zhaoyang, Sun, Fei, Jiang, He, Zhang, Bangmin, Zheng, Yue
Broadband spectrum detectors exhibit great promise in fields such as multispectral imaging and optical communications. Despite significant progress, challenges like materials instability, complex manufacturing process and high costs still hinder furt
Externí odkaz:
http://arxiv.org/abs/2405.13702
Autor:
Luo, Xiangde, Fu, Jia, Zhong, Yunxin, Liu, Shuolin, Han, Bing, Astaraki, Mehdi, Bendazzoli, Simone, Toma-Dasu, Iuliana, Ye, Yiwen, Chen, Ziyang, Xia, Yong, Su, Yanzhou, Ye, Jin, He, Junjun, Xing, Zhaohu, Wang, Hongqiu, Zhu, Lei, Yang, Kaixiang, Fang, Xin, Wang, Zhiwei, Lee, Chan Woong, Park, Sang Joon, Chun, Jaehee, Ulrich, Constantin, Maier-Hein, Klaus H., Ndipenoch, Nchongmaje, Miron, Alina, Li, Yongmin, Zhang, Yimeng, Chen, Yu, Bai, Lu, Huang, Jinlong, An, Chengyang, Wang, Lisheng, Huang, Kaiwen, Gu, Yunqi, Zhou, Tao, Zhou, Mu, Zhang, Shichuan, Liao, Wenjun, Wang, Guotai, Zhang, Shaoting
Radiation therapy is a primary and effective NasoPharyngeal Carcinoma (NPC) treatment strategy. The precise delineation of Gross Tumor Volumes (GTVs) and Organs-At-Risk (OARs) is crucial in radiation treatment, directly impacting patient prognosis. P
Externí odkaz:
http://arxiv.org/abs/2312.09576
Dental panoramic x-rays are commonly used in dental diagnosing. With the development of deep learning, auto detection of diseases from dental panoramic x-rays can help dentists to diagnose diseases more efficiently.The Dentex Challenge 2023 is a comp
Externí odkaz:
http://arxiv.org/abs/2308.14161
Inferior Alveolar Nerve (IAN) canal detection in CBCT is an important step in many dental and maxillofacial surgery applications to prevent irreversible damage to the nerve during the procedure.The ToothFairy2023 Challenge aims to establish a 3D maxi
Externí odkaz:
http://arxiv.org/abs/2308.09298
Autor:
Heller, Nicholas, Isensee, Fabian, Trofimova, Dasha, Tejpaul, Resha, Zhao, Zhongchen, Chen, Huai, Wang, Lisheng, Golts, Alex, Khapun, Daniel, Shats, Daniel, Shoshan, Yoel, Gilboa-Solomon, Flora, George, Yasmeen, Yang, Xi, Zhang, Jianpeng, Zhang, Jing, Xia, Yong, Wu, Mengran, Liu, Zhiyang, Walczak, Ed, McSweeney, Sean, Vasdev, Ranveer, Hornung, Chris, Solaiman, Rafat, Schoephoerster, Jamee, Abernathy, Bailey, Wu, David, Abdulkadir, Safa, Byun, Ben, Spriggs, Justice, Struyk, Griffin, Austin, Alexandra, Simpson, Ben, Hagstrom, Michael, Virnig, Sierra, French, John, Venkatesh, Nitin, Chan, Sarah, Moore, Keenan, Jacobsen, Anna, Austin, Susan, Austin, Mark, Regmi, Subodh, Papanikolopoulos, Nikolaos, Weight, Christopher
This paper presents the challenge report for the 2021 Kidney and Kidney Tumor Segmentation Challenge (KiTS21) held in conjunction with the 2021 international conference on Medical Image Computing and Computer Assisted Interventions (MICCAI). KiTS21 i
Externí odkaz:
http://arxiv.org/abs/2307.01984
Multiple instance learning (MIL) has emerged as a popular method for classifying histopathology whole slide images (WSIs). However, existing approaches typically rely on pre-trained models from large natural image datasets, such as ImageNet, to gener
Externí odkaz:
http://arxiv.org/abs/2303.13122
Autor:
Yang, Tao, Wang, Lisheng
The Koos grading scale is a classification system for vestibular schwannoma (VS) used to characterize the tumor and its effects on adjacent brain structures. The Koos classification captures many of the characteristics of treatment deci-sions and is
Externí odkaz:
http://arxiv.org/abs/2303.07674
Delineating 3D blood vessels is essential for clinical diagnosis and treatment, however, is challenging due to complex structure variations and varied imaging conditions. Supervised deep learning has demonstrated its superior capacity in automatic 3D
Externí odkaz:
http://arxiv.org/abs/2302.03299
Three-dimensional (3D) kidney parsing on computed tomography angiography (CTA) images is of great clinical significance. Automatic segmentation of kidney, renal tumor, renal vein and renal artery benefits a lot on surgery-based renal cancer treatment
Externí odkaz:
http://arxiv.org/abs/2207.09165