Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Xuanang Xu"'
Publikováno v:
IEEE Access, Vol 7, Pp 98083-98093 (2019)
Organ localization is an essential prerequisite for many computed tomography (CT) image analysis tasks such as organ segmentation, lesion detection, and image registration. However, it is a challenging problem due to various causes such as the low-co
Externí odkaz:
https://doaj.org/article/7acead408e93444190f15987ba5b37d8
Publikováno v:
IEEE Trans Med Imaging
Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite for many prostate-related clinical procedures, which, however, is also a long-standing problem due to the challenges caused by the low image quality and shadow
Autor:
Fan Wang, Xuanang Xu, Defu Yang, Ronald C. Chen, Trevor J. Royce, Andrew Wang, Jun Lian, Chunfeng Lian
Publikováno v:
IEEE transactions on medical imaging.
Adjuvant and salvage radiotherapy after radical prostatectomy requires precise delineations of prostate bed (PB), i.e., the clinical target volume, and surrounding organs at risk (OARs) to optimize radiotherapy planning. Segmenting PB is particularly
Federated learning is an emerging paradigm allowing large-scale decentralized learning without sharing data across different data owners, which helps address the concern of data privacy in medical image analysis. However, the requirement for label co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9f0bb3211ec890757eec64499e06ca6
http://arxiv.org/abs/2206.07156
http://arxiv.org/abs/2206.07156
Autor:
Aaron Babier, Rafid Mahmood, Binghao Zhang, Victor G L Alves, Ana Maria Barragán-Montero, Joel Beaudry, Carlos E Cardenas, Yankui Chang, Zijie Chen, Jaehee Chun, Kelly Diaz, Harold David Eraso, Erik Faustmann, Sibaji Gaj, Skylar Gay, Mary Gronberg, Bingqi Guo, Junjun He, Gerd Heilemann, Sanchit Hira, Yuliang Huang, Fuxin Ji, Dashan Jiang, Jean Carlo Jimenez Giraldo, Hoyeon Lee, Jun Lian, Shuolin Liu, Keng-Chi Liu, José Marrugo, Kentaro Miki, Kunio Nakamura, Tucker Netherton, Dan Nguyen, Hamidreza Nourzadeh, Alexander F I Osman, Zhao Peng, José Darío Quinto Muñoz, Christian Ramsl, Dong Joo Rhee, Juan David Rodriguez, Hongming Shan, Jeffrey V Siebers, Mumtaz H Soomro, Kay Sun, Andrés Usuga Hoyos, Carlos Valderrama, Rob Verbeek, Enpei Wang, Siri Willems, Qi Wu, Xuanang Xu, Sen Yang, Lulin Yuan, Simeng Zhu, Lukas Zimmermann, Kevin L Moore, Thomas G Purdie, Andrea L McNiven, Timothy C Y Chan
Publikováno v:
Physics in medicine and biology. 67(18)
We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients with head-and-neck cancer and high-quality dose predictions from 19 KBP
Publikováno v:
Med Image Anal
Automatic and accurate prostate ultrasound segmentation is a long-standing and challenging problem due to the severe noise and ambiguous/missing prostate boundaries. In this work, we propose a novel polar transform network (PTN) to handle this proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3033504d6d75e914a145f1cefc31b0d
https://europepmc.org/articles/PMC9082929/
https://europepmc.org/articles/PMC9082929/
Autor:
Nathan Lampen, Daeseung Kim, Xi Fang, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Jamie Gateno, James Xia, Pingkun Yan
Publikováno v:
International journal of computer assisted radiology and surgery. 17(5)
Orthognathic surgery requires an accurate surgical plan of how bony segments are moved and how the face passively responds to the bony movement. Currently, finite element method (FEM) is the standard for predicting facial deformation. Deep learning m
Autor:
Xinrui Song, Hanqing Chao, Xuanang Xu, Hengtao Guo, Sheng Xu, Baris Turkbey, Bradford J. Wood, Thomas Sanford, Ge Wang, Pingkun Yan
Publikováno v:
Medical image analysis. 82
In the past few years, convolutional neural networks (CNNs) have been proven powerful in extracting image features crucial for medical image registration. However, challenging applications and recent advances in computer vision suggest that CNNs are
Autor:
Xi Fang, Daeseung Kim, Xuanang Xu, Tianshu Kuang, Hannah H. Deng, Joshua C. Barber, Nathan Lampen, Jaime Gateno, Michael A. K. Liebschner, James J. Xia, Pingkun Yan
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75e9dbba8c21339b1831f5f998292bbf
https://doi.org/10.1007/978-3-031-16449-1_54
https://doi.org/10.1007/978-3-031-16449-1_54
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783030875886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8917c8ba11299eb297b5e19397596cf2
https://doi.org/10.1007/978-3-030-87589-3_72
https://doi.org/10.1007/978-3-030-87589-3_72