MVPNets: Multi-viewing Path Deep Learning Neural Networks for Magnification Invariant Diagnosis in Breast Cancer. - Padmaja Jonnalagedda; Daniel Schmolze; Bir Bhanu (BIBE, 2018)

SAGE: Sequential Attribute Generator for Analyzing Glioblastomas Using Limited Dataset. - Padmaja Jonnalagedda; Brent D. Weinberg; Jason Allen; Taejin L. Min; Shiv Bhanu; Bir Bhanu (ICPR, 2020)

Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations. - Padmaja Jonnalagedda; Brent D. Weinberg; Jason Allen; Bir Bhanu (MIDL, 2020)

SPACESeg: Automated Detection of Bed Junction Morphologies Indicating Signs of Life in Ediacaran Period. - Padmaja Jonnalagedda; Rachel Surprenant; Mary Droser; Bir Bhanu (CVPR Workshops, 2021)

Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning. - Akash Gupta 001; Padmaja Jonnalagedda; Bir Bhanu; Amit K. Roy-Chowdhury (ACM Multimedia, 2021)

Novel Body Biometric for Long-Range Recognition Under Extreme Conditions. - Padmaja Jonnalagedda; Bir Bhanu (IJCB, 2023)

Computational modeling of tumor invasion from limited and diverse data in Glioblastoma. - Padmaja Jonnalagedda; Brent D. Weinberg; Taejin L. Min; Shiv Bhanu; Bir Bhanu (Comput. Medical Imaging Graph., 2024)

Searching for Life: End-to-End Automated Detection and Characterization of Ediacaran Biosignatures. - Padmaja Jonnalagedda; Rachel Surprenant; Mary Droser; Bir Bhanu (IEEE Trans. Geosci. Remote. Sens., 2024)

A Comprehensive Radiogenomic Feature Characterization of 19/20 Co-gain in Glioblastoma. - Padmaja Jonnalagedda; Brent D. Weinberg; Taejin L. Min; Shiv Bhanu; Bir Bhanu (IEEE Trans. Artif. Intell., 2024)

Transaction Categorization with Relational Deep Learning in QuickBooks. - Kaiwen Dong; Padmaja Jonnalagedda; Xiang Gao; Ayan Acharya; Maria Kissa; Mauricio Flores; Nitesh V. Chawla; Kamalika Das (CoRR, 2025)