Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Arjun D. Desai"'
Autor:
Juan M. Zambrano Chaves, Andrew L. Wentland, Arjun D. Desai, Imon Banerjee, Gurkiran Kaur, Ramon Correa, Robert D. Boutin, David J. Maron, Fatima Rodriguez, Alexander T. Sandhu, Daniel Rubin, Akshay S. Chaudhari, Bhavik N. Patel
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Current risk scores using clinical risk factors for predicting ischemic heart disease (IHD) events—the leading cause of global mortality—have known limitations and may be improved by imaging biomarkers. While body composition (BC) imagin
Externí odkaz:
https://doaj.org/article/583abce2a3e942f8a55cc352eabc7fd6
Autor:
Jeffrey Dominic, Nandita Bhaskhar, Arjun D. Desai, Andrew Schmidt, Elka Rubin, Beliz Gunel, Garry E. Gold, Brian A. Hargreaves, Leon Lenchik, Robert Boutin, Akshay S. Chaudhari
Publikováno v:
Bioengineering, Vol 10, Iss 2, p 207 (2023)
We systematically evaluate the training methodology and efficacy of two inpainting-based pretext tasks of context prediction and context restoration for medical image segmentation using self-supervised learning (SSL). Multiple versions of self-superv
Externí odkaz:
https://doaj.org/article/c06e605c6de941c68889e1ff9782dcbd
Autor:
Andrew M. Schmidt, Arjun D. Desai, Lauren E. Watkins, Hollis A. Crowder, Marianne S. Black, Valentina Mazzoli, Elka B. Rubin, Quin Lu, James W. MacKay, Robert D. Boutin, Feliks Kogan, Garry E. Gold, Brian A. Hargreaves, Akshay S. Chaudhari
Publikováno v:
Journal of Magnetic Resonance Imaging. 57:1029-1039
Deep learning (DL)-based automatic segmentation models can expedite manual segmentation yet require resource-intensive fine-tuning before deployment on new datasets. The generalizability of DL methods to new datasets without fine-tuning is not well c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a14c8465c973a2210e11d4051ad5f8f
https://doi.org/10.1002/jmri.28365
https://doi.org/10.1002/jmri.28365
Autor:
Marco Barbieri, Lauren E. Watkins, Valentina Mazzoli, Arjun D. Desai, Elka Rubin, Andrew Schmidt, Garry Evan Gold, Brian Andrew Hargreaves, Akshay Sanjay Chaudhari, Feliks Kogan
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8229d6658d5a75bcc612b1961160491e
https://doi.org/10.1007/s10334-023-01094-y
https://doi.org/10.1007/s10334-023-01094-y
Autor:
Erik B Dam, Arjun D Desai, Cem M Deniz, Haresh R Rajamohan, Ravinder Regatte, Claudia Iriondo, Valentina Pedoia, Sharmila Majumdar, Mathias Perslev, Christian Igel, Akshay Pai, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Hasan Maqbool, Ismail Irmakci, Sang-Eun Song, Ulas Bagci, Brian Hargreaves, Garry Gold, Akshay Chaudhari
Publikováno v:
Osteoarthritis Imaging. 3:100087
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e08f5a3e13cc48f183cf2349732ff08
https://doi.org/10.1016/j.ostima.2023.100087
https://doi.org/10.1016/j.ostima.2023.100087
Autor:
Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John Pauly
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164453
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4441b207448af37bcdfc75b7563d241e
https://doi.org/10.1007/978-3-031-16446-0_70
https://doi.org/10.1007/978-3-031-16446-0_70
Autor:
Kathryn J. Stevens, Eric K. Gibbons, Brian A. Hargreaves, Jin Hyung Lee, Zhongnan Fang, Amit Chakraborty, Arjun D. Desai, Akshay S. Chaudhari, Jeffrey P. Wood, Garry E. Gold
Publikováno v:
J Magn Reson Imaging
BACKGROUND Super-resolution is an emerging method for enhancing MRI resolution; however, its impact on image quality is still unknown. PURPOSE To evaluate MRI super-resolution using quantitative and qualitative metrics of cartilage morphometry, osteo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dca348c4459edac465d4ca7c4b3c1c9
https://doi.org/10.1002/jmri.26872
https://doi.org/10.1002/jmri.26872
Autor:
Valentina Mazzoli, Arjun D. Desai, Hollis G. Potter, Andrew McCabe, Ashwin Sreedhar, Tomoo Yamada, Feliks Kogan, Marc R. Safran, Dominic J Vincentini, Matthew F. Koff, Katelin A Knox, Garry E. Gold, Katherine A Young, Sharmila Majumdar, Elka B Rubin, Marianne S. Black
Publikováno v:
J Magn Reson Imaging
BACKGROUND: Injuries to the articular cartilage in the knee are common in jumping athletes, particularly high-level basketball players. Unfortunately, these are often diagnosed at a late stage of the disease process, after tissue loss has already occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5049cbf54b517469a3b1b5bbc54962b
https://pubmed.ncbi.nlm.nih.gov/33763929
https://pubmed.ncbi.nlm.nih.gov/33763929
Autor:
Scott L. Delp, Marianne S. Black, Garry E. Gold, Elka B Rubin, Scott D. Uhlrich, Gabe K. Ho, Valentina Mazzoli, Feliks Kogan, Marc E. Levenston, Gary S. Beaupre, Arjun D. Desai, Lauren E. Watkins
Publikováno v:
NMR Biomed
Chemical exchange saturation transfer of glycosaminoglycans (GAG), gagCEST, is a quantitative MR technique that has potential for assessing cartilage proteoglycan content at field strengths of 7 Tesla (T) and higher. However, its utility at 3T remain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c3d380215ed1e901c0b924a179f8c0c
https://doi.org/10.1002/nbm.4310
https://doi.org/10.1002/nbm.4310
Autor:
Amir K. Kaki, Roger S. Gammon, Thomas Davis, Lou A. Lopez, Arne Schwindt, John B. Simpson, Dwight A. Dishmon, J. Gray Bennett, William H. Crowder, Patrick Muck, Ramzan M. Zakir, Huey B. McDaniel, Jack Chamberlin, John P. Pigott, Barry Tedder, Michael J. Moulton, Ayala Hezi-Yamit, Gary J. Fishbein, Jaafer Golzar, Arjun D. Desai, Sean Janzer, Ian Cawich, Jon C. George, Suhail Dohad
Publikováno v:
Journal of Endovascular Therapy. 24:355-366
Purpose: To evaluate the safety and efficacy of a novel optical coherence tomography (OCT)–guided atherectomy catheter in treating patients with symptomatic femoropopliteal disease. Methods: The VISION trial ( ClinicalTrials.gov identifier NCT01937
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6f239d499a3b8bc402083ca9720878
https://doi.org/10.1177/1526602817701720
https://doi.org/10.1177/1526602817701720