| Improving image quality and reducing radiation dose for pediatric CT by using deep learning reconstruction SL Brady, AT Trout, E Somasundaram, CG Anton, Y Li, JR Dillman Radiology 298 (1), 180-188, 2021 | 132 | 2021 |
| Quantification of skeletal muscle mass: sarcopenia as a marker of overall health in children and adults LA Gilligan, AJ Towbin, JR Dillman, E Somasundaram, AT Trout Pediatric radiology 50, 455-464, 2020 | 69 | 2020 |
| Radiation dose for pediatric CT: comparison of pediatric versus adult imaging facilities KJ Strauss, E Somasundaram, D Sengupta, JR Marin, SL Brady Radiology 291 (1), 158-167, 2019 | 68 | 2019 |
| Machine learning prediction of liver stiffness using clinical and T2-weighted MRI radiomic data L He, H Li, JA Dudley, TC Maloney, SL Brady, E Somasundaram, AT Trout, ... American Journal of Roentgenology 213 (3), 592-601, 2019 | 57 | 2019 |
| Automated segmentation of abdominal skeletal muscle on pediatric CT scans using deep learning J Castiglione, E Somasundaram, LA Gilligan, AT Trout, S Brady Radiology: Artificial Intelligence 3 (2), e200130, 2021 | 39 | 2021 |
| Defining normal ranges of skeletal muscle area and skeletal muscle index in children on CT using an automated deep learning pipeline: implications for sarcopenia diagnosis E Somasundaram, JA Castiglione, SL Brady, AT Trout American Journal of Roentgenology 219 (2), 326-336, 2022 | 19 | 2022 |
| DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults H Li, L He, JA Dudley, TC Maloney, E Somasundaram, SL Brady, ... Pediatric radiology 51, 392-402, 2021 | 16 | 2021 |
| Achievable dose reductions with gonadal shielding for children and adults during abdominal/pelvic radiographic examinations: a Monte Carlo simulation E Somasundaram, SL Brady, KJ Strauss Medical Physics 47 (11), 5514-5522, 2020 | 14 | 2020 |
| Development and validation of an open source Monte Carlo dosimetry model for wide‐beam CT scanners using Fluka E Somasundaram, NS Artz, SL Brady Journal of Applied Clinical Medical Physics 20 (4), 132-147, 2019 | 9 | 2019 |
| Deep learning models for abdominal CT organ segmentation in children: development and validation in internal and heterogeneous public datasets E Somasundaram, Z Taylor, VV Alves, L Qiu, BL Fortson, N Mahalingam, ... American Journal of Roentgenology 223 (1), e2430931, 2024 | 8 | 2024 |
| Fully automated tissue classifier for contrast-enhanced CT scans of adult and pediatric patients E Somasundaram, J Deaton, R Kaufman, S Brady Physics in Medicine & Biology 63 (13), 135009, 2018 | 7 | 2018 |
| Application of variational variance reduction for source-detector problems in nuclear non-proliferation E Somasundaram, T Palmer Journal of Computational and Theoretical Transport 45 (7), 554-557, 2016 | 7 | 2016 |
| Computed tomography-based measurements of normative liver and spleen volumes in children V de Padua V. Alves, JR Dillman, E Somasundaram, ZP Taylor, SL Brady, ... Pediatric Radiology 53 (3), 378-386, 2023 | 6 | 2023 |
| Detection of urinary tract calculi on CT images reconstructed with deep learning algorithms S Thapaliya, SL Brady, E Somasundaram, CG Anton, BD Coley, ... Abdominal Radiology, 1-7, 2022 | 6 | 2022 |
| Implementation of hybrid variance reduction methods in a multi group Monte Carlo code for deep shielding problems E Somasundaram, TS Palmer American Nuclear Society, 555 North Kensington Avenue, La Grange Park, IL …, 2013 | 6 | 2013 |
| Automatic detection of inadequate pediatric lateral neck radiographs of the airway and soft tissues using deep learning E Somasundaram, JR Dillman, EJ Crotty, AT Trout, AJ Towbin, CG Anton, ... Radiology: Artificial Intelligence 2 (5), e190226, 2020 | 4 | 2020 |
| Advancements in automated tissue segmentation pipeline for contrast-enhanced CT scans of adult and pediatric patients E Somasundaram, R Kaufman, S Brady Medical Imaging 2017: Computer-Aided Diagnosis 10134, 904-916, 2017 | 3 | 2017 |
| Benchmarked simulation of antineutrino source terms for light water reactors during normal operation and diversion scenarios E Somasundaram | 3 | 2011 |
| Benchmarked, three-dimensional antineutrino source term calculations of light water reactors for nonproliferation applications E Somasundaram, TS Palmer, AI Soldatov Nuclear technology 179 (1), 160-168, 2012 | 2 | 2012 |
| Deep Learning for Automated Measurement of Total Cardiac Volume for Heart Transplantation Size Matching NA Szugye, N Mahalingam, E Somasundaram, C Villa, J Segala, ... Pediatric Cardiology, 1-9, 2024 | 1 | 2024 |