| 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 | 39 | 2016 |
| 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 | 20 | 2021 |
| 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 | 19 | 2011 |
| 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 | 16 | 2015 |
| 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 | 16 | 2011 |
| 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 | 15 | 2023 |
| 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 | 12 | 2020 |
| 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 | 11 | 2015 |
| 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 | 6 | 2022 |
| 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 | 6 | 2018 |
| 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 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 4 | 2021 |
| A diffeomorphic 3d-to-3d registration algorithm for the segmentation of the left ventricle in ultrasound sequences D Krishnaswamy | 4 | 2021 |
| Helmholtz coil for magnetic resonance prostate imaging N Climer, B Holmes, D Krishnaswamy Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference …, 2010 | 4 | 2010 |
| 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 | 3 | 2021 |
| 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 | 3 | 2018 |
| 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 | 2 | 2023 |
| Deep learning based parametrization of diffeomorphic image registration for the application of cardiac image segmentation A Sheikhjafari, D Krishnaswamy, M Noga, N Ray, K Punithakumar 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Validation of a diffeomorphic registration algorithm using true deformation computed from thin plate spline interpolation D Krishnaswamy, M Noga, K Punithakumar 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 2 | 2020 |
