Poster. - Esha Datta; Laura Robinson (ASIST, 2006)

Gray matter segmentation of the spinal cord with active contours in MR images. - Esha Datta; Nico Papinutto; Regina Schlaeger; Alyssa H. Zhu; Julio Carballido-Gamio; Roland G. Henry (NeuroImage, 2017)

Spinal cord grey matter segmentation challenge. - Ferran Prados; John Ashburner; Claudia Blaiotta; Tom Brosch; Julio Carballido-Gamio; Manuel Jorge Cardoso; Benjamin N. Conrad; Esha Datta; Gergely Dávid; Benjamin De Leener; Sara M. Dupont; Patrick Freund; et al. (NeuroImage, 2017)

Sum of disjoint product approach for reliability evaluation of stochastic flow networks. - Esha Datta; Neeraj Kumar Goyal (Int. J. Syst. Assur. Eng. Manag., 2017)

Mindcontrol: A web application for brain segmentation quality control. - Anisha Keshavan; Esha Datta; Ian M. McDonough; Christopher R. Madan; Kesshi Jordan; Roland G. Henry (NeuroImage, 2018)

Spinal Cord Imaging in Multiple Sclerosis Patients: Applications of Machine Learning and Computer Vision Methods - Esha Datta (2018)

Evaluation of stochastic flow networks susceptible to demand requirements between multiple sources and multiple destinations. - Esha Datta; Neeraj Kumar Goyal (Int. J. Syst. Assur. Eng. Manag., 2019)

Bandit Policies for Reliable Cellular Network Handovers in Extreme Mobility. - Yuanjie Li; Esha Datta; Jiaxin Ding 001; Ness B. Shroff; Xin Liu 002 (CoRR, 2020)

Can Online Learning Increase the Reliability of Extreme Mobility Management? - Yuanjie Li; Esha Datta; Jiaxin Ding 001; Ness B. Shroff; Xin Liu 002 (IWQoS, 2021)

An Overview of Human Activity Recognition Using Wearable Sensors: Healthcare and Artificial Intelligence. - Rex Liu; Albara Ah Ramli; Huanle Zhang; Esha Datta; Xin Liu 002 (CoRR, 2021)

An efficient sum of disjoint product method for reliability evaluation of stochastic flow networks using d-MPs. - Esha Datta; Neeraj Kumar Goyal (Int. J. Syst. Assur. Eng. Manag., 2023)

Book Review: Big Data Analytics for Smart Transport and Healthcare Systems. - Esha Datta (SIAM Rev., 2025)

Village-Net Clustering: A Rapid approach to Non-linear Unsupervised Clustering of High-Dimensional Data. - Aditya Ballal; Esha Datta; Gregory A. DePaul; Erik Carlsson; Ye Chen-Izu; Javier E. López; Leighton T. Izu (CoRR, 2025)

Topology of Out-of-Distribution Examples in Deep Neural Networks. - Esha Datta; Johanna Hennig; Eva Domschot; Connor Mattes; Michael R. Smith 002 (CoRR, 2025)

Tight Practical Bounds for Subgraph Densities in Ego-centric Networks. - Connor Mattes; Esha Datta; Ali Pinar (CoRR, 2025)