Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Xiajun Jiang"'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1706801bffcbda4d6fff7c9b21c516d8
https://doi.org/10.22489/cinc.2022.425
https://doi.org/10.22489/cinc.2022.425
Autor:
Xiajun Jiang, Maryam Toloubidokhti, Jake Bergquist, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang
Publikováno v:
IEEE transactions on medical imaging.
Deep neural networks have shown promise in image reconstruction tasks, although often on the premise of large amounts of training data. In this paper, we present a new approach to exploit the geometry and physics underlying electrocardiographic imagi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::523f8d6584c5d97e1b5534543a46d678
https://pubmed.ncbi.nlm.nih.gov/36306312
https://pubmed.ncbi.nlm.nih.gov/36306312
Autor:
Maryam Toloubidokhti, Jaideep Vitthal Murkute, B. Milan Horacek, Prashnna Kumar Gyawali, John L. Sapp, Linwei Wang, Xiajun Jiang
Publikováno v:
IEEE Trans Biomed Eng
Objective: This work investigates the possibility of disentangled representation learning of inter-subject anatomical variations within electrocardiographic (ECG) data. Methods: Since ground truth anatomical factors are generally not known in clinica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab9d820b776c837e258a1d025d960c3
https://europepmc.org/articles/PMC8858595/
https://europepmc.org/articles/PMC8858595/
Publikováno v:
Machine Learning in Medical Imaging ISBN: 9783031210136
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ae279a6c5ef069c148fa22ae8e9387
https://doi.org/10.1007/978-3-031-21014-3_35
https://doi.org/10.1007/978-3-031-21014-3_35
Autor:
Xiajun Jiang, Zhiyuan Li, Ryan Missel, Md Shakil Zaman, Brian Zenger, Wilson W. Good, Rob S. MacLeod, John L. Sapp, Linwei Wang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164514
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc8a0cde483487739c63f9d4dd8b2ee5
https://doi.org/10.1007/978-3-031-16452-1_5
https://doi.org/10.1007/978-3-031-16452-1_5
Autor:
Jake A. Bergquist, Dana H. Brooks, Rob S. MacLeod, Linwei Wang, Brian Zenger, Omar A. Gharbia, Wilson W. Good, Xiajun Jiang, Maryam Toloubidokhti, Jaume Coll Font, Prashnna Kumar Gyawali
Publikováno v:
Functional Imaging and Modeling of the Heart ISBN: 9783030787097
FIMH
FIMH
Accuracy of estimating the heart’s electrical activity with Electrocardiographic Imaging (ECGI) is challenging due to using an error-prone physics-based model (forward model). While getting better results than the traditional numerical methods foll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db7fd6eccc69424d8529d41013f8d769
https://doi.org/10.1007/978-3-030-78710-3_45
https://doi.org/10.1007/978-3-030-78710-3_45
Autor:
Xiajun Jiang, John L. Sapp, Maryam Toloubidokhti, Omar A. Gharbia, Linwei Wang, Zhiyuan Li, Ryan Missel
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872304
MICCAI (6)
MICCAI (6)
Traditional approaches to image reconstruction uses physics-based loss with data-efficient inference, although the difficulty to properly model the inverse solution precludes learning the reconstruction across a distribution of data. Modern deep lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9d801969ec5cd6645102bbbb8b9066
https://doi.org/10.1007/978-3-030-87231-1_35
https://doi.org/10.1007/978-3-030-87231-1_35
Autor:
Yidi Gao, Xiajun Jiang
Publikováno v:
Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems ISBN: 9789811026652
Human body customization is an important task in computer graphics and computer simulation recently. The existing human body modeling methods may generate distorted model or generate a human body model that does not match the target measurements. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::555cf5bf5508c05472642658dbd37712
https://doi.org/10.1007/978-981-10-2666-9_20
https://doi.org/10.1007/978-981-10-2666-9_20
Publikováno v:
INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences. 3:102-113
Datasets are the basis of the database benchmarks. They are very important to researches on database theories and applications. Datasets of the moving object database benchmarks record the spatial and temporal information of the moving objects. Based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51a07756170f8b188b95ff641b472d77
https://doi.org/10.4156/aiss.vol3.issue2.12
https://doi.org/10.4156/aiss.vol3.issue2.12
Publikováno v:
2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS).
Software testing is an essential part of the SDLC(Software Development Life Cycle). Test scenarios are used to derive test cases for model based testing. However, with the software rapidly growing in size and complexity, the cost of software will be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::942ce407930ec84f0e71702c980927bf
https://doi.org/10.1109/icsess.2015.7339189
https://doi.org/10.1109/icsess.2015.7339189