Ashok Panigrahy

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 12

Top Topics

Medical Knowledge

Tissue Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Marlee M. Vandewouw, Ami Norris-Brilliant, Anum Rahman, Stephania Assimopoulos, Sarah U. Morton, Azadeh Kushki, Sean Cunningham, Eileen King, Elizabeth Goldmuntz, Thomas A. Miller, Nina H. Thomas, Heather R. Adams, John Cleveland, James F. Cnota, P. Ellen Grant, Caren S. Goldberg, Hao Huang, Jennifer S. Li, Patrick S. McQuillen, George A. Porter, Amy E. Roberts, Mark W. Russell, Christine E. Seidman, Madalina E. Tivarus, Wendy K. Chung, Donald J. Hagler, Jane W. Newburger, Ashok Panigrahy, Jason P. Lerch, Bruce D. Gelb, Evdokia Anagnostou
Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. NeuroImage 297 (2024)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
Medical knowledge-guided deep learning for mammographic breast density classification. Medical Imaging: Computer-Aided Diagnosis (2023)
Joy Roy, Rafael Ceschin, Danielle Devine, Ashok Panigrahy, Ericka Fink
Diffusion Tensor Imaging as a Biomarker for Pediatric Cardiac Arrest Outcomes. AMIA (2022)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR (2021)
Joy Roy, Ashok Panigrahy, Rafael Ceschin
Evaluating Brain Age Models in Adolescents with CHD. AMIA (2021)
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI (2021)
Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR (2021)
Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR (2021)
Jenna Schabdach, Vincent Schmithorst, Vince Lee, Rafael Ceschin, Ashok Panigrahy
Identifying Population Subgroups in Neuro-fMRI Using Unsupervised Machine Learning. AMIA (2019)
Jenna Schabdach, Rafael Ceschin, Vince Lee, Vincent Schmithorst, Ashok Panigrahy
Using Prealignment in Global Volume Registration to Decrease Motion in Neonatal Resting-State fMRI. AMIA (2018)
Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Cecilia W. Lo, Vanathi Gopalakrishnan, Ashok Panigrahy
A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. NeuroImage 178 (2018)
Zane Chou, Natacha Paquette, Bhavana Ganesh, Yalin Wang, Rafael Ceschin, Marvin D. Nelson, Luke Macyszyn, Bilwaj Gaonkar, Ashok Panigrahy, Natasha Leporé
Bayesian automated cortical segmentation for neonatal MRI. SIPAIM (2017)
Yi Lao, Jie Shi, Yalin Wang, Rafael Ceschin, Darryl Hwang, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé
Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates. CLIP (2013)
Natasha Leporé, Fernando Yepes, Yi Lao, Ashok Panigrahy, Rafael Ceschin, Subhashree Ravichandran, Marvin D. Nelson, Pierre Fillard
Template-based tractography for clinical neonatal diffusion imaging data. Medical Imaging: Computer-Aided Diagnosis (2012)
Jie Shi, Yalin Wang, Rafael Ceschin, Xing An, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé
Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen. APSIPA (2012)
Stephan G. Erberich, Ashok Panigrahy, Philippe Friedlich, Istvan Seri, Marvin D. Nelson, Floyd Gilles
Somatosensory lateralization in the newborn brain. NeuroImage 29 (1) (2006)