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Sushravya Raghunath

Showing results (1-10 of 19) with videos related to

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Journal of Digital Imaging|April 29, 2014
Active relearning for robust supervised training of emphysema patternsSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
Journal of Thoracic Imaging|December 9, 2017
Short-term Automated Quantification of Radiologic Changes in the Characterization of Idiopathic Pulmonary Fibrosis Versus Nonspecific Interstitial Pneumonia and Prediction of Long-term SurvivalFederica De Giacomi, Sushravya Raghunath, Ronald Karwoski, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Referenceless stratification of parenchymal lung abnormalitiesSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
Studies in Health Technology and Informatics|February 24, 2012
Detail-on-demand visualization for lean understanding of lung abnormalitiesSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|August 30, 2014
Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomographySushravya Raghunath, Fabien Maldonado, Srinivasan Rajagopalan, et al.
Journal of Thoracic Imaging|August 23, 2013
Quantitative computed tomography imaging of interstitial lung diseasesBrian J Bartholmai, Sushravya Raghunath, Ronald A Karwoski, et al.
Plos One|March 29, 2014
Quantitative stratification of diffuse parenchymal lung diseasesSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
The European Respiratory Journal|April 9, 2013
Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosisFabien Maldonado, Teng Moua, Srinivasan Rajagopalan, et al.
The International Journal of Cardiovascular Imaging|February 24, 2022
Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical datasetXiaoyan Zhang, Alvaro E Ulloa Cerna, Joshua V Stough, et al.
Heart Rhythm|October 25, 2025
Machine learning-enabled assessment of risk of drug-induced QT prolongation at the time of prescribingLinyuan Jing, Thomas B Morland, Christopher R Kelsey, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Journal of Digital Imaging|April 29, 2014
Active relearning for robust supervised training of emphysema patternsSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
Journal of Thoracic Imaging|December 9, 2017
Short-term Automated Quantification of Radiologic Changes in the Characterization of Idiopathic Pulmonary Fibrosis Versus Nonspecific Interstitial Pneumonia and Prediction of Long-term SurvivalFederica De Giacomi, Sushravya Raghunath, Ronald Karwoski, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 19, 2011
Referenceless stratification of parenchymal lung abnormalitiesSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
Studies in Health Technology and Informatics|February 24, 2012
Detail-on-demand visualization for lean understanding of lung abnormalitiesSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|August 30, 2014
Noninvasive risk stratification of lung adenocarcinoma using quantitative computed tomographySushravya Raghunath, Fabien Maldonado, Srinivasan Rajagopalan, et al.
Journal of Thoracic Imaging|August 23, 2013
Quantitative computed tomography imaging of interstitial lung diseasesBrian J Bartholmai, Sushravya Raghunath, Ronald A Karwoski, et al.
Plos One|March 29, 2014
Quantitative stratification of diffuse parenchymal lung diseasesSushravya Raghunath, Srinivasan Rajagopalan, Ronald A Karwoski, et al.
The European Respiratory Journal|April 9, 2013
Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosisFabien Maldonado, Teng Moua, Srinivasan Rajagopalan, et al.
The International Journal of Cardiovascular Imaging|February 24, 2022
Generalizability and quality control of deep learning-based 2D echocardiography segmentation models in a large clinical datasetXiaoyan Zhang, Alvaro E Ulloa Cerna, Joshua V Stough, et al.
Heart Rhythm|October 25, 2025
Machine learning-enabled assessment of risk of drug-induced QT prolongation at the time of prescribingLinyuan Jing, Thomas B Morland, Christopher R Kelsey, et al.
Pageof 2