Ashok Panigrahy

16 papers Misc 4Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. NeuroImage 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, Patricia 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
2023	—	`conf`	Medical knowledge-guided deep learning for mammographic breast density classification. Computer-Aided Diagnosis Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
2022	Misc	`conf`	Diffusion Tensor Imaging as a Biomarker for Pediatric Cardiac Arrest Outcomes. AMIA Joy Roy, Rafael Ceschin, Danielle Devine, Ashok Panigrahy, Ericka Fink
2021	J	`jnl`	Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. CoRR Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu
2021	Misc	`conf`	Evaluating Brain Age Models in Adolescents with CHD. AMIA Joy Roy, Ashok Panigrahy, Rafael Ceschin
2021	—	`conf`	Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. MLMI@MICCAI Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. CoRR Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu
2021	J	`jnl`	Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. CoRR Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu
2019	Misc	`conf`	Identifying Population Subgroups in Neuro-fMRI Using Unsupervised Machine Learning. AMIA Jenna Schabdach, Vincent Schmithorst, Vince Lee, Rafael Ceschin, Ashok Panigrahy
2018	J	`jnl`	A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. NeuroImage Rafael Ceschin, Alexandria Zahner, William Reynolds, Jenna Gaesser, Giulio Zuccoli, Cecilia W. Lo, Vanathi Gopalakrishnan, Ashok Panigrahy
2018	Misc	`conf`	Using Prealignment in Global Volume Registration to Decrease Motion in Neonatal Resting-State fMRI. AMIA Jenna Schabdach, Rafael Ceschin, Vince Lee, Vincent Schmithorst, Ashok Panigrahy
2017	—	`conf`	Bayesian automated cortical segmentation for neonatal MRI. SIPAIM Zane Chou, Natacha Paquette, Bhavana Ganesh, Yalin Wang, Rafael Ceschin, Marvin D. Nelson, Luke Macyszyn, Bilwaj Gaonkar, Ashok Panigrahy, Natasha Leporé
2013	—	`conf`	Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates. CLIP Yi Lao, Jie Shi, Yalin Wang, Rafael Ceschin, Darryl Hwang, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé
2012	—	`conf`	Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen. APSIPA Jie Shi, Yalin Wang, Rafael Ceschin, Xing An, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé
2012	—	`conf`	Template-based tractography for clinical neonatal diffusion imaging data. Computer-Aided Diagnosis Natasha Leporé, Fernando Yepes, Yi Lao, Ashok Panigrahy, Rafael Ceschin, Subhashree Ravichandran, Marvin D. Nelson, Pierre Fillard
2006	J	`jnl`	Somatosensory lateralization in the newborn brain. NeuroImage Stephan G. Erberich, Ashok Panigrahy, Philippe Friedlich, Istvan Seri, Marvin D. Nelson, Floyd Gilles