Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ashwin Raju"'
Autor:
Jinzheng Cai, Adam P. Harrison, Jing Xiao, Le Lu, Dakai Jin, Ashwin Raju, Alan L. Yuille, Fengze Liu, Yuankai Huo, Chi-Tung Cheng, Chien-Hung Liao
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586003
ECCV (13)
ECCV (13)
Multi-modal image registration is a challenging problem that is also an important clinical task for many real applications and scenarios. As a first step in analysis, deformable registration among different image modalities is often required in order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c4858a0b3b4f665943acae1a227ca01
https://doi.org/10.1007/978-3-030-58601-0_16
https://doi.org/10.1007/978-3-030-58601-0_16
Autor:
Junzhou Huang, Yuankai Huo, Jinzheng Cai, Adam P. Harrison, Jing Xiao, Le Lu, Ashwin Raju, Chi-Tung Cheng, ChienHuang Liao
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
Within medical imaging, organ/pathology segmentation models trained on current publicly available and fully-annotated datasets usually do not well-represent the heterogeneous modalities, phases, pathologies, and clinical scenarios encountered in real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1765d0e4254fbef482b123916f1db2e1
https://doi.org/10.1007/978-3-030-58592-1_27
https://doi.org/10.1007/978-3-030-58592-1_27
Autor:
Junzhou Huang, Jinzheng Cai, Le Lu, Zhanghexuan Ji, Ashwin Raju, Chien-Hung Liao, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597092
MICCAI (1)
MICCAI (1)
Mask-based annotation of medical images, especially for 3D data, is a bottleneck in developing reliable machine learning models. Using minimal-labor (UIs) to guide the annotation is promising, but challenges remain on best harmonizing the mask predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01ce0f3731ef246851495150b4c7aa93
https://doi.org/10.1007/978-3-030-59710-8_45
https://doi.org/10.1007/978-3-030-59710-8_45
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597214
MICCAI (5)
MICCAI (5)
Colorectal Cancer (CRC) is one of the most common cancer diagnosed in humans. Outcomes vary significantly among patients with different tumor status. Accurate staging of colorectal cancer for personalized treatment is thus highly desired. Whole slide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a77ea19ee6114b1a0f7862e3aac6c60
https://doi.org/10.1007/978-3-030-59722-1_51
https://doi.org/10.1007/978-3-030-59722-1_51
Autor:
Jason Mars, Lingjia Tang, Ram Srivatsa Kannan, Jeongseob Ahn, Lavanya Subramanian, Ashwin Raju
Publikováno v:
EuroSys
The microservice architecture has dramatically reduced user effort in adopting and maintaining servers by providing a catalog of functions as services that can be used as building blocks to construct applications. This has enabled datacenter operator
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a99ff4e9d6a2cfccbda4f123f4f0e2da
https://doi.org/10.1145/3302424.3303958
https://doi.org/10.1145/3302424.3303958
Publikováno v:
ISBI
Automatic recognition of surgical workflow is an unresolved problem among the community of computer-assisted interventions. Among all the features used for surgical workflow recognition, one important feature is the presence of the surgical tools. Ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498a801163b839ddf88ab5927bdf2625
https://doi.org/10.1109/isbi.2017.7950597
https://doi.org/10.1109/isbi.2017.7950597
Publikováno v:
NaBIC
This paper proposes to investigate on the efficacy of Genetic Algorithm (GA) based video abstraction system to deliver a meaningful summary (still image abstract) with minimal preprocessing on the given video. The GA employs novel crossover and mutat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::869fff4fe238d367e83c299f45840bd8
https://doi.org/10.1109/nabic.2009.5393779
https://doi.org/10.1109/nabic.2009.5393779
Autor:
Jeyakumar, Ashwin Raju
The advent of cluster computing has resulted in a thrust towards providing software mechanisms for reliability on clusters. The prevalent model for such mechanisms is to take a snapshot of the state of an application, called a checkpoint and commit i
Externí odkaz:
http://hdl.handle.net/10919/9969
http://scholar.lib.vt.edu/theses/available/etd-06142004-152211
http://scholar.lib.vt.edu/theses/available/etd-06142004-152211
Autor:
Jeyakumar, Ashwin Raju.
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 2004.
Title from electronic submission form. Vita. Abstract. Includes bibliographical references.
Title from electronic submission form. Vita. Abstract. Includes bibliographical references.
Publikováno v:
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC); 2009, p878-883, 6p