Suivre
Deepa Krishnaswamy
Deepa Krishnaswamy
Postdoctoral Research Fellow in Radiology at Brigham and Women's Hospital
Adresse e-mail validée de bwh.harvard.edu
Titre
Citée par
Citée par
Année
Magnetoencephalography-based identification of functional connectivity network disruption following mild traumatic brain injury
A Alhourani, TA Wozny, D Krishnaswamy, S Pathak, SA Walls, ...
Journal of neurophysiology 116 (4), 1840-1847, 2016
462016
Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19
SE Ebadi, D Krishnaswamy, SES Bolouri, D Zonoobi, R Greiner, ...
Informatics in Medicine Unlocked 25, 100687, 2021
292021
Emulation of biological networks in reconfigurable hardware
N Miskov-Zivanov, A Bresticker, D Krishnaswamy, S Venkatakrishnan, ...
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational …, 2011
202011
Quantifying white matter structural integrity with high-definition fiber tracking in traumatic brain injury
N Presson, D Krishnaswamy, L Wagener, W Bird, K Jarbo, S Pathak, ...
Military medicine 180 (suppl_3), 109-121, 2015
172015
Regulatory network analysis acceleration with reconfigurable hardware
N Miskov-Zivanov, A Bresticker, D Krishnaswamy, S Venkatakrishnan, ...
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
172011
Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship
F Giganti, AP Cole, FM Fennessy, T Clinton, PLDF Moreira, ...
European Radiology 33 (1), 461-471, 2023
162023
Interactive data driven visualization for COVID-19 with trends, analytics and forecasting
F Clement, A Kaur, M Sedghi, D Krishnaswamy, K Punithakumar
2020 24th International Conference Information Visualisation (IV), 593-598, 2020
162020
National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence
A Fedorov, WJR Longabaugh, D Pot, DA Clunie, SD Pieper, DL Gibbs, ...
Radiographics 43 (12), e230180, 2023
122023
An exploratory analysis linking neuropsychological testing to quantification of tractography using High Definition Fiber Tracking (HDFT) in military TBI
N Presson, SR Beers, L Morrow, LM Wagener, WA Bird, G Van Eman, ...
Brain imaging and behavior 9, 484-499, 2015
112015
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field
A Sheikhjafari, D Krishnaswamy, M Noga, N Ray, K Punithakumar
arXiv preprint arXiv:2208.13275, 2022
62022
A new semi-automated algorithm for volumetric segmentation of the left ventricle in temporal 3D echocardiography sequences
D Krishnaswamy, AR Hareendranathan, T Suwatanaviroj, P Boulanger, ...
Cardiovascular Engineering and Technology 13 (1), 55-68, 2022
62022
A semi-automated method for measurement of left ventricular volumes in 3D echocardiography
D Krishnaswamy, AR Hareendranathan, T Suwatanaviroj, H Becher, ...
IEEE Access 6, 16336-16344, 2018
62018
Deep learning based parameterization of diffeomorphic image registration for cardiac image segmentation
A Sheikhjafari, D Krishnaswamy, M Noga, N Ray, K Punithakumar
IEEE Transactions on NanoBioscience 22 (4), 800-807, 2023
42023
Cardiac MRI-Derived myocardial deformation parameters correlate with pulmonary valve replacement indications in repaired tetralogy of Fallot
BH Goot, EB Tham, D Krishnaswamy, K Punithakumar, M Noga
Pediatric Cardiology 42 (8), 1805-1817, 2021
42021
A diffeomorphic 3D-to-3D registration algorithm for the segmentation of the left ventricle in ultrasound sequences
D Krishnaswamy
42021
Helmholtz coil for magnetic resonance prostate imaging
N Climer, B Holmes, D Krishnaswamy
Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference …, 2010
42010
Enrichment of lung cancer computed tomography collections with AI-derived annotations
D Krishnaswamy, D Bontempi, VK Thiriveedhi, D Punzo, D Clunie, ...
Scientific data 11 (1), 25, 2024
32024
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations
D Krishnaswamy, D Bontempi, V Thiriveedhi, D Punzo, D Clunie, ...
arXiv preprint arXiv:2306.00150, 2023
32023
A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound
D Krishnaswamy, SE Ebadi, SES Bolouri, D Zonoobi, R Greiner, ...
International Journal of Noncommunicable Diseases 6 (Suppl 1), S69-S75, 2021
32021
A novel 4D semi-automated algorithm for volumetric segmentation in echocardiography
D Krishnaswamy, AR Hareendranathan, T Suwatanaviroj, P Boulanger, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
32018
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