Somatosensory lateralization in the newborn brain. - Stephan G. Erberich; Ashok Panigrahy; Philippe Friedlich; Istvan Seri; Marvin D. Nelson; Floyd Gilles (NeuroImage, 2006)

Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen. - Jie Shi 001; Yalin Wang 001; Rafael Ceschin; Xing An; Marvin D. Nelson; Ashok Panigrahy; Natasha Leporé (APSIPA, 2012)

Template-based tractography for clinical neonatal diffusion imaging data. - Natasha Leporé; Fernando Yepes; Yi Lao; Ashok Panigrahy; Rafael Ceschin; Subhashree Ravichandran; Marvin D. Nelson; Pierre Fillard (Computer-Aided Diagnosis, 2012)

Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates. - Yi Lao; Jie Shi 001; Yalin Wang 001; Rafael Ceschin; Darryl Hwang; Marvin D. Nelson; Ashok Panigrahy; Natasha Leporé (CLIP, 2013)

Bayesian automated cortical segmentation for neonatal MRI. - Zane Chou; Natacha Paquette; Bhavana Ganesh; Yalin Wang 001; Rafael Ceschin; Marvin D. Nelson; Luke Macyszyn; Bilwaj Gaonkar; Ashok Panigrahy; Natasha Leporé (SIPAIM, 2017)

Using Prealignment in Global Volume Registration to Decrease Motion in Neonatal Resting-State fMRI. - Jenna Schabdach; Rafael Ceschin; Vince Lee; Vincent Schmithorst; Ashok Panigrahy (AMIA, 2018)

A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks. - Rafael Ceschin; Alexandria Zahner; William Reynolds; Jenna Gaesser; Giulio Zuccoli; Cecilia W. Lo; Vanathi Gopalakrishnan; Ashok Panigrahy (NeuroImage, 2018)

Identifying Population Subgroups in Neuro-fMRI Using Unsupervised Machine Learning. - Jenna Schabdach; Vincent Schmithorst; Vince Lee; Rafael Ceschin; Ashok Panigrahy (AMIA, 2019)

Evaluating Brain Age Models in Adolescents with CHD. - Joy Roy; Ashok Panigrahy; Rafael Ceschin (AMIA, 2021)

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. - Jun Luo 010; Gene Kitamura; Dooman Arefan; Emine Doganay; Ashok Panigrahy; Shandong Wu (MLMI@MICCAI, 2021)

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Shandong Wu (CoRR, 2021)

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Margarita L. Zuley; Shandong Wu (CoRR, 2021)

Diffusion Tensor Imaging as a Biomarker for Pediatric Cardiac Arrest Outcomes. - Joy Roy; Rafael Ceschin; Danielle Devine; Ashok Panigrahy; Ericka Fink (AMIA, 2022)

Medical knowledge-guided deep learning for mammographic breast density classification. - Long Gao; Chang Liu; Dooman Arefan; Ashok Panigrahy; Margarita L. Zuley; Shandong Wu (Computer-Aided Diagnosis, 2023)

Identifying novel data-driven subgroups in congenital heart disease using multi-modal measures of brain structure. - 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; et al. (NeuroImage, 2024)