Sundaresh Ram
Overview
Sundaresh Ram is an assistant professor in the Department of Radiology & Imaging Sciences with additional appointments in the departments of Biomedical Informatics and Medicine in the Emory University School of Medicine.
In his new role at Emory, Dr. Ram directs research in the area of computational imaging and AI with the goal of advancing personalized medicine. He specifically develops computational imaging methods and uses and validates them as quantitative imaging biomarkers to revolutionize early disease diagnosis, facilitate the initiation of prevention strategies for at-risk individuals, predict disease progression, monitor therapy efficacy, optimize disease management, and tailor treatment to the individual patient.
Dr. Rams research interests include multidimensional signal processing/analysis, computational imaging, pattern recognition, machine learning, information theory, and inverse problems, along with applications of these methods to various imaging technologies in conventional and medical imaging, biological sciences, and data science. He has developed solutions for multiple applications in the area of advanced signal, image, and video processing, involving various data modalities, such as microscopy, CT, SPECT, MRI, and natural images and video. Research topics include sparsity-based image restoration, image reconstruction, graph theoretic image segmentation, non-rigid image registration, motion estimation, object detection and tracking, image classification and phenotyping, data regularization and optimization, and feature extraction.
Prior to joining Emory, Dr. Ram was a research assistant professor in the Department of Radiology and the Department of Biomedical Engineering at the University of Michigan from April 2023 to March 2024. There he was focused on developing advanced imaging-based techniques by exploiting the spatial and functional information within clinical imaging for disease phenotyping and prediction of therapeutic response in radiology.
Dr. Ram is a member of Institute of Electrical and Electronics Engineers (IEEE), the international Society of Photo-optical Instrumentation Engineers (SPIE), the Society of Industrial and Applied Mathematics (SIAM), and the American Thoracic Society (ATS).
Dr. Ram received his B.E. degree in Electrical and Electronics Engineering from Anna University, Chennai, India in May 2007 and MS and PhD degrees in Electrical and Computer Engineering from The University of Arizona, Tucson, in December 2010 and July 2017, respectively. He was a postdoctoral research fellow in the School of Electrical and Computer Engineering and the Meinig School of Biomedical Engineering at Cornell University, Ithaca, NY, from August 2017 to September 2018 and a postdoctoral research fellow in the Department of Radiology and the Department of Biomedical Engineering at the University of Michigan from October 2018 to March 2023.
Academic Appointment
- Assistant Professor, Biomedical Informatics, Emory University School of Medicine
- Assistant Professor, Radiology and Imaging Sciences, Emory University School of Medicine
Education
Degrees
- PhD from University of Arizona
- MS Electrical and Computer Engineering from University of Arizona
- BE, Electrical and Electronics Engineering from Anna University, Chennai
Research
Publications
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Use of quantitative CT chest imaging to derive and assess a radiographic phenotype of deployment-related constrictive bronchiolitis.
Respir Res Volume: 26 Page(s): 195
05/21/2025 Authors: Bell AJ; Masotti M; Ram S; Pappas G; Miller RF; Kazerooni EA; Hatt CR; Han MK; Richmond BW; Falvo MJ -
Temporal Exploration of Chronic Obstructive Pulmonary Disease Phenotypes: Insights from the COPDGene and SPIROMICS Cohorts.
Am J Respir Crit Care Med Volume: 211 Page(s): 569 - 576
04/01/2025 Authors: Bell AJ; Ram S; Labaki WW; Murray S; Kazerooni EA; Galban S; Martinez FJ; Hatt CR; Wang JM; Ivanov V -
Computed tomography-based machine learning for donor lung screening before transplantation.
J Heart Lung Transplant Volume: 43 Page(s): 394 - 402
03/01/2024 Authors: Ram S; Verleden SE; Kumar M; Bell AJ; Pal R; Ordies S; Vanstapel A; Dubbeldam A; Vos R; Galban S -
Topologic Parametric Response Mapping Identifies Tissue Subtypes Associated with Emphysema Progression.
Acad Radiol Volume: 31 Page(s): 1148 - 1159
03/01/2024 Authors: Wang JM; Bell AJ; Ram S; Labaki WW; Hoff BA; Murray S; Kazerooni EA; Galban S; Hatt CR; Han MK -
Local heterogeneity of normal lung parenchyma and small airways disease are associated with COPD severity and progression.
Respir Res Volume: 25 Page(s): 106
02/28/2024 Authors: Bell AJ; Pal R; Labaki WW; Hoff BA; Wang JM; Murray S; Kazerooni EA; Galban S; Lynch DA; Humphries SM -
Quantitative CT of Normal Lung Parenchyma and Small Airways Disease Topologies are Associated With COPD Severity and Progression.
medRxiv
11/20/2023 Authors: Bell AJ; Pal R; Labaki WW; Hoff BA; Wang JM; Murray S; Kazerooni EA; Galban S; Lynch DA; Humphries SM -
Lung cancer lesion detection in histopathology images using graph-based sparse PCA network.
Neoplasia Volume: 42 Page(s): 100911
08/01/2023 Authors: Ram S; Tang W; Bell AJ; Pal R; Spencer C; Buschhaus A; Hatt CR; diMagliano MP; Rehemtulla A; Rodrguez JJ -
The adapter protein FADD provides an alternate pathway for entry into the cell cycle by regulating APC/C-Cdh1 E3 ubiquitin ligase activity.
J Biol Chem Volume: 299 Page(s): 104786
06/01/2023 Authors: Awadia S; Sitto M; Ram S; Ji W; Liu Y; Damani R; Ray D; Lawrence TS; Galban CJ; Cappell SD -
Implementation of Artificial Intelligence-Assisted Chest X-ray Interpretation: It Is About Time.
Ann Am Thorac Soc Volume: 20 Page(s): 641 - 642
05/01/2023 Authors: Ram S; Bodduluri S -
CT-based Machine Learning for Donor Lung Screening Prior to Transplantation.
medRxiv
03/29/2023 Authors: Ram S; Verleden SE; Kumar M; Bell AJ; Pal R; Ordies S; Vanstapel A; Dubbeldam A; Vos R; Galban S