Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daniel H. Pak"'
Autor:
Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph Gleason, James S. Duncan
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-14 (2024)
Abstract Calcification has significant influence over cardiovascular diseases and interventions. Detailed characterization of calcification is thus desired for predictive modeling, but calcium deposits on cardiovascular structures are still often man
Externí odkaz:
https://doaj.org/article/b848eab37c2b448abd6a20f9e4d0cb16
Autor:
Minliang Liu, James S. Duncan, John A. Onofrey, Andrés Caballero, Wei Sun, Liang Liang, Daniel H. Pak, Shawn S. Ahn
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030781903
IPMI
IPMI
Finite Element Analysis (FEA) is useful for simulating Transcather Aortic Valve Replacement (TAVR), but has a significant bottleneck at input mesh generation. Existing automated methods for imaging-based valve modeling often make heavy assumptions ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::727a99af6e046a82c8e91bb96cf7da98
https://doi.org/10.1007/978-3-030-78191-0_49
https://doi.org/10.1007/978-3-030-78191-0_49
Autor:
Daniel H. Pak, Theodore Kim, Liang Liang, Raymond G. McKay, Wei Sun, Minliang Liu, James S. Duncan
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872304
MICCAI (6)
MICCAI (6)
Volumetric meshes with hexahedral elements are generally best for stress analysis using finite element (FE) methods. With recent interests in finite element analysis (FEA) for Transcatheter Aortic Valve Replacement (TAVR) simulations, fast and accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c4b62a1a9060ea7c98b0774f717dbf
https://doi.org/10.1007/978-3-030-87231-1_47
https://doi.org/10.1007/978-3-030-87231-1_47
Publikováno v:
ISBI
Automated segmentation of aortic valve components using pre-operative CT scans would help provide quantitative metrics for better treatment planning of valve replacement procedures and create inputs for simulations such as finite element analysis. U-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a1cabb1890ed4dbfd38309053537a86
https://doi.org/10.1109/isbi45749.2020.9098378
https://doi.org/10.1109/isbi45749.2020.9098378
Autor:
James S. Duncan, Daniel H. Pak, Julius Chapiro, MingDe Lin, Junlin Yang, Nicha C. Dvornek, Xiaoxiao Li
Publikováno v:
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning ISBN: 9783030605476
DART/DCL@MICCAI
DART/DCL@MICCAI
Deep convolutional networks have demonstrated state-of-the-art performance in a variety of medical image tasks, including segmentation. Taking advantage of images from different modalities has great clinical benefits. However, the generalization abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7baf0d4fb7b89553b868344f1fde01df
https://doi.org/10.1007/978-3-030-60548-3_6
https://doi.org/10.1007/978-3-030-60548-3_6
Publikováno v:
Archives of Pharmacal Research. 36:178-188
It is generally accepted that mitochondrial deficits cause many common age-associated diseases including type 2 diabetes. However, it has not been understood what causes mitochondrial damages and how to interrupt the development of the diseases in pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::870230c3119a999cc82e1434d8a7b938
https://doi.org/10.1007/s12272-013-0022-9
https://doi.org/10.1007/s12272-013-0022-9
Autor:
David Issadore, Sevile G. Mannickarottu, Michael S. Magaraci, Brian Y. Chow, Joshua Tycko, Viktor Mollov, Jessica G. Bermudez, Deeksha Yogish, Daniel H. Pak
Publikováno v:
ACS synthetic biology. 5(7)
We report a toolbox for exploring the modular tuning of genetic circuits, which has been specifically optimized for widespread deployment in STEM environments through a combination of bacterial strain engineering and distributable hardware developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa9d0c39ee4a0e614ba56cf9b1ab3bf
https://pubmed.ncbi.nlm.nih.gov/27111289
https://pubmed.ncbi.nlm.nih.gov/27111289