Sushravya Raghunath
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Explore the profile of Sushravya Raghunath including associated specialties, affiliations and a list of published articles.
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17
Citations
541
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Recent Articles
11.
Raghunath S, Rajagopalan S, Karwoski R, Bartholmai B, Robb R
J Digit Imaging
. 2014 Apr;
27(4):548-55.
PMID: 24771303
Radiologists are adept at recognizing the character and extent of lung parenchymal abnormalities in computed tomography (CT) scans. However, the inconsistent differential diagnosis due to subjective aggregation necessitates the exploration...
12.
Raghunath S, Rajagopalan S, Karwoski R, Maldonado F, Peikert T, Moua T, et al.
PLoS One
. 2014 Mar;
9(3):e93229.
PMID: 24676019
Diffuse parenchymal lung diseases (DPLDs) are characterized by widespread pathological changes within the pulmonary tissue that impair the elasticity and gas exchange properties of the lungs. Clinical-radiological diagnosis of these...
13.
Bartholmai B, Raghunath S, Karwoski R, Moua T, Rajagopalan S, Maldonado F, et al.
J Thorac Imaging
. 2013 Aug;
28(5):298-307.
PMID: 23966094
Purpose: High-resolution chest computed tomography (HRCT) is essential in the characterization of interstitial lung disease. The HRCT features of some diseases can be diagnostic. Longitudinal monitoring with HRCT can assess...
14.
Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis
Maldonado F, Moua T, Rajagopalan S, Karwoski R, Raghunath S, Decker P, et al.
Eur Respir J
. 2013 Apr;
43(1):204-12.
PMID: 23563264
Accurate assessment of prognosis in idiopathic pulmonary fibrosis remains elusive due to significant individual radiological and physiological variability. We hypothesised that short-term radiological changes may be predictive of survival. We...
15.
Maldonado F, Boland J, Raghunath S, Aubry M, Bartholmai B, deAndrade M, et al.
J Thorac Oncol
. 2013 Mar;
8(4):452-60.
PMID: 23486265
Introduction: Pulmonary nodules of the adenocarcinoma spectrum are characterized by distinctive morphological and radiologic features and variable prognosis. Noninvasive high-resolution computed tomography-based risk stratification tools are needed to individualize their...
16.
Raghunath S, Rajagopalan S, Karwoski R, Larson A, Bartholmai B, Robb R
Stud Health Technol Inform
. 2012 Feb;
173:362-8.
PMID: 22357019
In some respects, the lung is an anatomical bog - having limited referential landmarks. Nonetheless, precise understanding of the abnormalities that inflict this organ is crucial to effective clinical diagnosis...
17.
Raghunath S, Rajagopalan S, Karwoski R, Bartholmai B, Robb R
Med Image Comput Comput Assist Interv
. 2011 Oct;
14(Pt 3):223-30.
PMID: 22003703
This paper introduces computational tools that could enable personalized, predictive, preemptive, and participatory (P4) Pulmonary medicine. We demonstrate approaches to (a) stratify lungs from different subjects based on the spatial...