Ashok Panigrahy

According to our database, Ashok Panigrahy authored at least 14 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Medical knowledge-guided deep learning for mammographic breast density classification.

Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Margarita L. Zuley, Shandong Wu

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022

Diffusion Tensor Imaging as a Biomarker for Pediatric Cardiac Arrest Outcomes.

Joy Roy, Rafael Ceschin, Danielle Devine, Ashok Panigrahy, Ericka Fink

Proceedings of the AMIA 2022, 2022

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

Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images.

Long Gao, Chang Liu, Dooman Arefan, Ashok Panigrahy, Shandong Wu

CoRR, 2021

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification.

Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Evaluating Brain Age Models in Adolescents with CHD.

Joy Roy, Ashok Panigrahy, Rafael Ceschin

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019

Identifying Population Subgroups in Neuro-fMRI Using Unsupervised Machine Learning.

Jenna Schabdach, Vincent Schmithorst, Vince Lee, Rafael Ceschin, Ashok Panigrahy

Proceedings of the AMIA 2019, 2019

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

Using Prealignment in Global Volume Registration to Decrease Motion in Neonatal Resting-State fMRI.

Jenna Schabdach, Rafael Ceschin, Vince Lee, Vincent Schmithorst, Ashok Panigrahy

Proceedings of the AMIA 2018, 2018

2017

Bayesian automated cortical segmentation for neonatal MRI.

Zane Chou, Natacha Paquette, Bhavana Ganesh, Yalin Wang, Rafael Ceschin, Marvin D. Nelson, Luke Macyszyn, Bilwaj Gaonkar, Ashok Panigrahy, Natasha Leporé

Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

2013

Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates.

Yi Lao, Jie Shi, Yalin Wang, Rafael Ceschin, Darryl Hwang, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé

Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2013

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

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen.

Jie Shi, Yalin Wang, Rafael Ceschin, Xing An, Marvin D. Nelson, Ashok Panigrahy, Natasha Leporé

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2006

Somatosensory lateralization in the newborn brain.

Stephan G. Erberich, Ashok Panigrahy, Philippe Friedlich, Istvan Seri, Marvin D. Nelson, Floyd Gilles

NeuroImage, 2006