Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Hannah H. Deng"'
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:
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:
Yankun Lang, Xiaoyang Chen, Hannah H. Deng, Tianshu Kuang, Joshua C. Barber, Jaime Gateno, Pew-Thian Yap, James J. Xia
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ff1fde7ed5797be93ac9ed88dae77df
https://doi.org/10.1007/978-3-031-16434-7_43
https://doi.org/10.1007/978-3-031-16434-7_43
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
Autor:
Deqiang Xiao, Hannah H. Deng, Pew Thian Yap, Chunfeng Lian, Qin Liu, Daeseung Kim, Tianshu Kuang, Lei Ma, Jaime Gateno, James J. Xia, Ye Wu, Michael A. K. Liebschner, Yankun Lang, Erkun Yang
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
Facial appearance changes with the movements of bony segments in orthognathic surgery of patients with craniomaxillofacial (CMF) deformities. Conventional bio-mechanical methods, such as finite element modeling (FEM), for simulating such changes, are
Autor:
Deqiang Xiao, Hung-Ying Lin, Steve Guofang Shen, Li Wang, Chunfeng Lian, Tianshu Kuang, James J. Xia, Pew Thian Yap, Dinggang Shen, Fan Wang, Jaime Gateno, Hannah H. Deng
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597184
MICCAI (4)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597184
MICCAI (4)
Accurate bone segmentation and anatomical landmark localization are essential tasks in computer-aided surgical simulation for patients with craniomaxillofacial (CMF) deformities. To leverage the complementarity between the two tasks, we propose an ef
Autor:
Deqiang Xiao, James J. Xia, Hannah H. Deng, Chunfeng Lian, David M. Alfi, Yankun Lang, Jaime Gateno, Peng Yuan, Dinggang Shen, Steve Guofang Shen, Pew Thian Yap
Publikováno v:
Med Image Comput Comput Assist Interv
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597184
MICCAI (4)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597184
MICCAI (4)
Landmark localization is an important step in quantifying craniomaxillofacial (CMF) deformities and designing treatment plans of reconstructive surgery. However, due to the severity of deformities and defects (partially missing anatomy), it is diffic
Autor:
Hannah H. Deng, Hung-Ying Lin, Pew Thian Yap, Xiaoyang Chen, Jaime Gateno, Tianshu Kuang, James J. Xia, Deqiang Xiao, Chunfeng Lian, Dinggang Shen
Publikováno v:
IEEE Trans Med Imaging
Automatic craniomaxillofacial (CMF) landmark localization from cone-beam computed tomography (CBCT) images is challenging, considering that 1) the number of landmarks in the images may change due to varying deformities and traumatic defects, and 2) t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7de63ca88f8eb58b60c0de7dd2ce21af
https://europepmc.org/articles/PMC8686670/
https://europepmc.org/articles/PMC8686670/
Autor:
Maggie K. Grissom, Jaime Gateno, Jeryl D. English, Helder B. Jacob, Tianshu Kuang, Carla E. Gonzalez, Peng Yuan, Hannah H. Deng, Caleb J. Frick, Daeseung Kim, Abdullahi Hassan, James J. Xia
Publikováno v:
J Oral Maxillofac Surg
Purpose A facial reference frame is a 3-dimensional Cartesian coordinate system that includes 3 perpendicular planes: midsagittal, axial and coronal. The order in which one defines the planes matters. The purposes of this study were to determine: 1)