HEp-2 Cell Image Classification: A Comparative Analysis. - Praful Agrawal; Mayank Vatsa; Richa Singh 001 (MLMI, 2013)

Saliency based mass detection from screening mammograms. - Praful Agrawal; Mayank Vatsa; Richa Singh 001 (Signal Process., 2014)

Optimal parameter map estimation for shape representation: A generative approach. - Shireen Y. Elhabian; Praful Agrawal; Ross T. Whitaker (ISBI, 2016)

Towards a Statistical Shape-Aware Deformable Contour Model for Cranial Nerve Identification. - Sharmin Sultana; Praful Agrawal; Shireen Y. Elhabian; Ross T. Whitaker; Tanweer Rashid; Jason E. Blatt; Justin S. Cetas; Michel A. Audette (CLIP@MICCAI, 2016)

Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes. - Praful Agrawal; Ross T. Whitaker; Shireen Y. Elhabian (MICCAI (1), 2017)

Medial axis segmentation of cranial nerves using shape statistics-aware discrete deformable models. - Sharmin Sultana; Praful Agrawal; Shireen Y. Elhabian; Ross T. Whitaker; Jason E. Blatt; Benjamin Gilles; Justin S. Cetas; Tanweer Rashid; Michel A. Audette (Int. J. Comput. Assist. Radiol. Surg., 2019)

Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints. - Praful Agrawal; Joseph D. Mozingo; Shireen Y. Elhabian; Andrew E. Anderson; Ross T. Whitaker (ShapeMI@MICCAI, 2020)

An Optimal, Generative Model for Estimating Multi-Label Probabilistic Maps. - Praful Agrawal; Ross T. Whitaker; Shireen Y. Elhabian (IEEE Trans. Medical Imaging, 2020)

Estimating Generative Models for Statistical Shape Analysis. - Praful Agrawal (2020)

Learning Deep Features for Shape Correspondence with Domain Invariance. - Praful Agrawal; Ross T. Whitaker; Shireen Y. Elhabian (CoRR, 2021)

Data Efficient Training with Imbalanced Label Sample Distribution for Fashion Detection. - Xin Shen; Praful Agrawal; Zhongwei Cheng (CoRR, 2023)