Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Simon Dunham"'
Autor:
Kranthi K. Kolli, Sun-Joo Jang, Abdul Zahid, Alexandre Caprio, Seyedhamidreza Alaie, Amir Ali Amiri Moghadam, Patricia Xu, Robert Shepherd, Bobak Mosadegh, Simon Dunham
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
ObjectiveTo develop a novel in vitro method for evaluating coronary artery ischemia using a combination of non-invasive coronary CT angiograms (CCTA) and 3D printing (FFR3D).MethodsTwenty eight patients with varying degrees of coronary artery disease
Externí odkaz:
https://doaj.org/article/f9a8a1bf90b4438a83efa7f540a704bd
Creating Stretchable Electronics from Dual Layer Flex-PCB for Soft Robotic Cardiac Mapping Catheters
Autor:
Abdellatif Ait Lahcen, Alexandre Caprio, Weihow Hsue, Cory Tschabrunn, Christopher Liu, Bobak Mosadegh, Simon Dunham
Publikováno v:
Micromachines, Vol 14, Iss 4, p 884 (2023)
The authors present in this study the development of a novel method for creating stretchable electronics from dual-layer flex printed circuit boards (flex-PCBs) as a platform for soft robotic sensor arrays (SRSAs) for cardiac voltage mapping applicat
Externí odkaz:
https://doaj.org/article/2a69988697944ef7a5b5538d2590e2c1
Autor:
Lohendran Baskaran, Subhi J Al'Aref, Gabriel Maliakal, Benjamin C Lee, Zhuoran Xu, Jeong W Choi, Sang-Eun Lee, Ji Min Sung, Fay Y Lin, Simon Dunham, Bobak Mosadegh, Yong-Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone, Matthew J Budoff, Jonathon A Leipsic, Gilbert L Raff, Renu Virmani, Habib Samady, Peter H Stone, Daniel S Berman, Jagat Narula, Jeroen J Bax, Hyuk-Jae Chang, James K Min, Leslee J Shaw
Publikováno v:
PLoS ONE, Vol 15, Iss 5, p e0232573 (2020)
OBJECTIVES:To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. BACKGROUND:Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method
Externí odkaz:
https://doaj.org/article/b103203a85c74e10b3be3a3b29be9b95
Autor:
Jun Liu, Subhi J Al'Aref, Gurpreet Singh, Alexandre Caprio, Amir Ali Amiri Moghadam, Sun-Joo Jang, S Chiu Wong, James K Min, Simon Dunham, Bobak Mosadegh
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0219174 (2019)
The primary mode of visualization during transcatheter procedures for structrural heart disease is fluoroscopy, which suffers from low contrast and lacks any depth perception, thus limiting the ability of an interventionalist to position a catheter a
Externí odkaz:
https://doaj.org/article/c17a357bd227401f81d2056ba1b28408
Autor:
Sun-Joo Jang, Tejas Doshi, Jerusalem Nerayo, Alexandre Caprio, Seyedhamidreza Alaie, Jordyn Auge, James K. Min, Bobak Mosadegh, Simon Dunham
Publikováno v:
Micromachines, Vol 10, Iss 10, p 705 (2019)
Micropatterning is often used to engineer the surface properties of objects because it allows the enhancement or modification of specific functionalities without modification of the bulk material properties. Microneedle arrays have been explored in t
Externí odkaz:
https://doaj.org/article/28f0c772ece5431190dbe96d43db4906
Autor:
Mighten C. Yip, Seyedhamidreza Alaie, Eva A. Romito, Tejas Doshi, Amir Ali Amiri Moghadam, Bobak Mosadegh, Simon Dunham
Publikováno v:
ASME Open Journal of Engineering. 2
This paper describes the methodology for rapid prototyping of nitinol structures by heat setting. Nitinol is a shape memory alloy commonly used in implantable medical devices. The proposed technique, based on 3D printing, can be used to effectively i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9278682441c8f46f4f34f26bd1035341
https://doi.org/10.1115/1.4062282
https://doi.org/10.1115/1.4062282
Autor:
Leslee J. Shaw, Matin Torabinia, Bobak Mosadegh, Varun Kashyap, Abdul Zahid, Mohamed Zgaren, Sun-Joo Jang, Alexandre Caprio, Patricia Xu, Simon Dunham, Sahar Jalal, Fay Y. Lin, Robert F. Shepherd, Tejas Doshi, Kranthi K. Kolli
Publikováno v:
Circulation. 142
Background: Virtual functional assessment index (vFAI), an alternative approach for assessing hemodynamic significance of stenosis has been shown to enhance the diagnostic performance of coronary computed tomography angiography (CCTA) based on evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78656331e2ce176a6104739bc47e3fb5
https://doi.org/10.1161/circ.142.suppl_3.17031
https://doi.org/10.1161/circ.142.suppl_3.17031
Autor:
Bobak Mosadegh, Simon Dunham, Christopher F. Liu, Sun-Joo Jang, Varun Kashyap, Tejas Doshi, Alexandre Caprio
Publikováno v:
Science Advances
Soft robotic sensor arrays for left-atrial mapping demonstrate highly conformal contact to complex patient anatomies.
Devices that perform cardiac mapping and ablation to treat atrial fibrillation provide an effective means of treatment. Current
Devices that perform cardiac mapping and ablation to treat atrial fibrillation provide an effective means of treatment. Current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e1e068eec719a5375e13dfac41661ad
http://europepmc.org/articles/PMC7673747
http://europepmc.org/articles/PMC7673747
Autor:
James K. Min, Leslee J. Shaw, Hyuk Jae Chang, Zhuoran Xu, Martin Hadamitzky, Fay Y. Lin, Gianluca Pontone, Ji Min Sung, Kavitha Chinnaiyan, Habib Samady, Subhi J. Al'Aref, Yong Jin Kim, Filippo Cademartiri, Byoung Kwon Lee, Hugo Marques, Lohendran Baskaran, Jonathon Leipsic, Jagat Narula, Sang Eun Lee, Edoardo Conte, Jeroen J. Bax, Bobak Mosadegh, Ilan Gottlieb, Simon Dunham, Gabriel Maliakal, Sanghoon Shin, Gilbert L. Raff, Erica Maffei, Eun Ju Chun, Daniele Andreini, Jung Hyun Choi, Peter Stone, Benjamin C. Lee, Matthew J. Budoff, Daniel S. Berman, Renu Virmani, Jeong W. Choi
Publikováno v:
PLoS ONE, 15(5). PUBLIC LIBRARY SCIENCE
PLoS ONE
PloS one, vol 15, iss 5
PLoS ONE, Vol 15, Iss 5, p e0232573 (2020)
PLoS ONE
PloS one, vol 15, iss 5
PLoS ONE, Vol 15, Iss 5, p e0232573 (2020)
OBJECTIVES: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. BACKGROUND: Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02cfbbc26356b67ec0b2cfc952b45a6c
http://hdl.handle.net/1887/3232631
http://hdl.handle.net/1887/3232631
Publikováno v:
Advanced Engineering Materials. 23:2100599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c139b73ed42550c13fcde2204e7949b
https://doi.org/10.1002/adem.202100599
https://doi.org/10.1002/adem.202100599