Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Labonny Biswas"'
Autor:
Philippa R. P. Krahn, Sheldon M. Singh, Venkat Ramanan, Labonny Biswas, Nicolas Yak, Kevan J. T. Anderson, Jennifer Barry, Mihaela Pop, Graham A. Wright
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 20, Iss 1, Pp 1-12 (2018)
Abstract Background Radiofrequency (RF) ablation has become a mainstay of treatment for ventricular tachycardia, yet adequate lesion formation remains challenging. This study aims to comprehensively describe the composition and evolution of acute lef
Externí odkaz:
https://doaj.org/article/51e5f73d234f4dcf85fb34e6d1f5be8a
Autor:
Philippa R. P. Krahn, Labonny Biswas, Sebastian Ferguson, Venkat Ramanan, Jennifer Barry, Sheldon M. Singh, Mihaela Pop, Graham A. Wright
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:2657-2666
Radiofrequency (RF) energy delivered to cardiac tissue produces a core ablation lesion with surrounding edema, the latter of which has been implicated in acute procedural failure of Ventricular Tachycardia (VT) ablation and late arrhythmia recurrence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8abafd79031f847207ddb5a036aa3df
https://doi.org/10.1109/tbme.2022.3152145
https://doi.org/10.1109/tbme.2022.3152145
Autor:
Ady Orbach, Nilesh R. Ghugre, Labonny Biswas, Kim A. Connelly, Adrienne Chan, Bradley H. Strauss, Graham A. Wright, Idan Roifman
Publikováno v:
Journal of Magnetic Resonance Imaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cad0a22e1626b5b6ae6cd9bec2e090a7
https://doi.org/10.1002/jmri.28668
https://doi.org/10.1002/jmri.28668
Autor:
Labonny Biswas, Hayden Gunraj, Idan Roifman, Nitish Bhatt, Graham A. Wright, Venkat Ramanan, Xiuling Qi, Fumin Guo, Nilesh R. Ghugre
Publikováno v:
Medical Physics. 48:1815-1822
PURPOSE Cardiac relaxometry techniques, particularly T1 mapping, have recently gained clinical importance in various cardiac pathologies. Myocardial T1 and extracellular volume are usually calculated from manual identification of left ventricular epi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2321ba48e0f47bc610615c3790d59f42
https://doi.org/10.1002/mp.14710
https://doi.org/10.1002/mp.14710
Autor:
Labonny Biswas, Ady Orbach, Graham A. Wright, Idan Roifman, Kim A. Connelly, Bradley H. Strauss, Nilesh R. Ghugre, Adrienne K. Chan
Publikováno v:
Journal of Cardiology Cases. 24:203-205
There is growing evidence of the potential for cardiac involvement in patients who have been infected with COVID-19. In this case study, we present a patient with no history of cardiovascular disease, who was hospitalized for COVID-19 pneumonia and s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e9ff29ad204dcdac71015d210ed6b5
https://doi.org/10.1016/j.jccase.2021.04.014
https://doi.org/10.1016/j.jccase.2021.04.014
PurposeWe developed an end-to-end workflow that starts with a vendor-neutral acquisition and tested the hypothesis that vendor-neutral sequences decrease inter-vendor variability of T1, MTR and MTsat measurements.MethodsWe developed and deployed a ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb4b5c3b88a4bcf2762d4b08d19a7189
https://doi.org/10.1101/2021.12.27.474259
https://doi.org/10.1101/2021.12.27.474259
Autor:
Nitish Bhatt, Venkat Ramanan, Ady Orbach, Labonny Biswas, Matthew Ng, Fumin Guo, Xiuling Qi, Lancia Guo, Laura Jimenez-Juan, Idan Roifman, Graham A. Wright, Nilesh R. Ghugre
Publikováno v:
Radiol Artif Intell
PURPOSE: To design and evaluate an automated deep learning method for segmentation and analysis of cardiac MRI T1 maps with use of synthetic T1-weighted images for MRI relaxation–based contrast augmentation. MATERIALS AND METHODS: This retrospectiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ba6d04d5958d854018226a2e33a867e
https://pubmed.ncbi.nlm.nih.gov/36523641
https://pubmed.ncbi.nlm.nih.gov/36523641
Autor:
Ady Orbach, Nilesh Ghugre, Labonny Biswas, Kim Connelly, Bradley H. Strauss, Graham Wright, Idan Roifman
Publikováno v:
Journal of the American College of Cardiology. 79:1301
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab942457a8ed7eb87cd28026ca16fd9
https://doi.org/10.1016/s0735-1097(22)02292-6
https://doi.org/10.1016/s0735-1097(22)02292-6
Autor:
Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham Wright
Objective: Convolutional neural networks (CNNs) have demonstrated promise in automated cardiac magnetic resonance image segmentation. However, when using CNNs in a large real-world dataset, it is important to quantify segmentation uncertainty and ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08c37db3772b32d9700d2cf89161e598
Autor:
John D. Sparkes, Jose Gutierrez, Idan Roifman, Labonny Biswas, Edison Wang, Kim A. Connelly, Graham A. Wright
Publikováno v:
Magnetic resonance imaging. 61
Introduction Cardiac magnetic resonance imaging (CMR) is the gold standard for the assessment of left ventricular (LV) function. However, traditional sequences are time-consuming and require breath-holding. Our aim was to evaluate the image quality o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d396f396d45bf9747b393a7d464f76
https://pubmed.ncbi.nlm.nih.gov/31200025
https://pubmed.ncbi.nlm.nih.gov/31200025