Automated quantification of CT patterns associated with COVID-19 from chest CT S Chaganti, P Grenier, A Balachandran, G Chabin, S Cohen, T Flohr, ... Radiology: Artificial Intelligence 2 (4), e200048, 2020 | 164 | 2020 |
Anatomical context improves deep learning on the brain age estimation task C Bermudez, AJ Plassard, S Chaganti, Y Huo, KS Aboud, LE Cutting, ... Magnetic Resonance Imaging 62, 70-77, 2019 | 49 | 2019 |
Robust optic nerve segmentation on clinically acquired computed tomography RL Harrigan, S Panda, AJ Asman, KM Nelson, S Chaganti, MP DeLisi, ... Journal of Medical Imaging 1 (3), 034006-034006, 2014 | 39 | 2014 |
Towards portable large-scale image processing with high-performance computing Y Huo, J Blaber, SM Damon, BD Boyd, S Bao, P Parvathaneni, ... Journal of digital imaging 31, 304-314, 2018 | 29 | 2018 |
Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort EJ Mortani Barbosa Jr, B Georgescu, S Chaganti, GB Aleman, JB Cabrero, ... European radiology 31 (11), 8775-8785, 2021 | 28* | 2021 |
Quantification of tomographic patterns associated with COVID-19 from chest CT S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, B Georgescu, ... arXiv preprint arXiv:2004.01279, 2020 | 21 | 2020 |
Electronic medical record context signatures improve diagnostic classification using medical image computing S Chaganti, LA Mawn, H Kang, J Egan, SM Resnick, LL Beason-Held, ... IEEE journal of biomedical and health informatics 23 (5), 2052-2062, 2018 | 19 | 2018 |
Prediction of patient management in COVID-19 using deep learning-based fully automated extraction of cardiothoracic CT metrics and laboratory findings T Weikert, S Rapaka, S Grbic, T Re, S Chaganti, DJ Winkel, ... Korean Journal of Radiology 22 (6), 994, 2021 | 18 | 2021 |
3d tomographic pattern synthesis for enhancing the quantification of covid-19 S Liu, B Georgescu, Z Xu, Y Yoo, G Chabin, S Chaganti, S Grbic, S Piat, ... arXiv preprint arXiv:2005.01903, 2020 | 17 | 2020 |
Using phecode analysis to characterize co-occurring medical conditions in autism spectrum disorder MD Failla, KL Schwartz, S Chaganti, LE Cutting, BA Landman, CJ Cascio Autism 25 (3), 800-811, 2021 | 15 | 2021 |
Assessment of orbital computed tomography (CT) imaging biomarkers in patients with thyroid eye disease S Chaganti, K Mundy, MP DeLisi, KM Nelson, RL Harrigan, RL Galloway, ... Journal of Digital Imaging 32, 987-994, 2019 | 13 | 2019 |
Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles S Chaganti, K Nelson, K Mundy, Y Luo, RL Harrigan, S Damon, D Fabbri, ... Medical Imaging 2016: Image Processing 9784, 391-397, 2016 | 12 | 2016 |
pyPheWAS: a phenome-disease association tool for electronic medical record analysis CI Kerley, S Chaganti, TQ Nguyen, C Bermudez, LE Cutting, ... Neuroinformatics 20 (2), 483-505, 2022 | 11 | 2022 |
Discovering novel disease comorbidities using electronic medical records S Chaganti, VF Welty, W Taylor, K Albert, MD Failla, C Cascio, S Smith, ... PloS one 14 (11), e0225495, 2019 | 11 | 2019 |
Graph attention network based pruning for reconstructing 3D liver vessel morphology from contrasted CT images D Zhang, S Liu, S Chaganti, E Gibson, Z Xu, S Grbic, W Cai, D Comaniciu arXiv preprint arXiv:2003.07999, 2020 | 10 | 2020 |
A Bayesian framework for early risk prediction in traumatic brain injury S Chaganti, AJ Plassard, L Wilson, MA Smith, MB Patel, BA Landman Medical Imaging 2016: Image Processing 9784, 550-557, 2016 | 10 | 2016 |
Phenotype analysis of early risk factors from electronic medical records improves image-derived diagnostic classifiers for optic nerve pathology S Chaganti, KP Nabar, KM Nelson, LA Mawn, BA Landman Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and …, 2017 | 8 | 2017 |
Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments X Yao, S Chaganti, KP Nabar, K Nelson, A Plassard, RL Harrigan, ... Medical Imaging 2017: Image Processing 10133, 413-419, 2017 | 8 | 2017 |
Quantification of tomographic patterns associated with COVID-19 from chest CT. ArXiv S Chaganti, A Balachandran, G Chabin, S Cohen, T Flohr, S Liu, F Mellot, ... arXiv preprint arXiv:2004.01279, 2020 | 7 | 2020 |
EMR-radiological phenotypes in diseases of the optic nerve and their association with visual function S Chaganti, JR Robinson, C Bermudez, T Lasko, LA Mawn, BA Landman Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | 6 | 2017 |