Joint desmoking and denoising of laparoscopy images. - Alankar Kotwal; Riddhish Bhalodia; Suyash P. Awate (ISBI, 2016)

Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference. - Ayush Baid; Alankar Kotwal; Riddhish Bhalodia; S. N. Merchant; Suyash P. Awate (ISBI, 2017)

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation. - Riddhish Bhalodia; Anupama Goparaju; Tim Sodergren; Ross T. Whitaker; Alan Morris; Evgueni Kholmovski; Nassir Marrouche; Joshua Cates; Shireen Y. Elhabian (CinC, 2018)

DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images. - Riddhish Bhalodia; Shireen Y. Elhabian; Ladislav Kavan; Ross T. Whitaker (ShapeMI@MICCAI, 2018)

Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation. - Tim Sodergren; Riddhish Bhalodia; Ross T. Whitaker; Joshua Cates; Nassir Marrouche; Shireen Y. Elhabian (STACOM@MICCAI, 2018)

Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction? - Riddhish Bhalodia; Archanasri Subramanian; Alan Morris; Joshua Cates; Ross T. Whitaker; Evgueni Kholmovski; Nassir Marrouche; Shireen Y. Elhabian (CinC, 2019)

Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study. - Anupama Goparaju; Alan Morris; Ibolya Csecs; Riddhish Bhalodia; Tom Ditter; Kristine Fuimaono; Evgueni Kholmovski; Nassir Marrouche; Joshua Cates; Shireen Y. Elhabian (CinC, 2019)

Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study. - Shalin Parikh; Anupama Goparaju; Riddhish Bhalodia; Bosten Loveless; Alan Morris; Joshua Cates; Evgueni Kholmovski; Nassir Marrouche; Shireen Y. Elhabian (CinC, 2019)

A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration. - Riddhish Bhalodia; Shireen Y. Elhabian; Ladislav Kavan; Ross T. Whitaker (MICCAI (2), 2019)

CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets. - Riddhish Bhalodia; Shireen Y. Elhabian; Ladislav Kavan; Ross T. Whitaker (CoRR, 2019)

dpVAEs: Fixing Sample Generation for Regularized VAEs. - Riddhish Bhalodia; Iain Lee; Shireen Y. Elhabian (ACCV (4), 2020)

Uncertain-DeepSSM: From Images to Probabilistic Shape Models. - Jadie Adams; Riddhish Bhalodia; Shireen Y. Elhabian (ShapeMI@MICCAI, 2020)

Self-supervised Discovery of Anatomical Shape Landmarks. - Riddhish Bhalodia; Ladislav Kavan; Ross T. Whitaker (MICCAI (4), 2020)

Unsupervised Shape Normality Metric for Severity Quantification. - Wenzheng Tao; Riddhish Bhalodia; Erin Anstadt; Ladislav Kavan; Ross T. Whitaker; Jesse A. Goldstein (CoRR, 2020)

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. - Riddhish Bhalodia; Ali Hatamizadeh; Leo K. Tam; Ziyue Xu 001; Xiaosong Wang 001; Evrim Turkbey; Daguang Xu (MICCAI (2), 2021)

A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data. - Wenzheng Tao; Riddhish Bhalodia; Ross T. Whitaker (MLMI@MICCAI, 2021)

Leveraging unsupervised image registration for discovery of landmark shape descriptor. - Riddhish Bhalodia; Shireen Y. Elhabian; Ladislav Kavan; Ross T. Whitaker (Medical Image Anal., 2021)

Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model. - Wenzheng Tao; Riddhish Bhalodia; Shireen Y. Elhabian (CoRR, 2022)

RENs: Relevance Encoding Networks. - Krithika Iyer; Riddhish Bhalodia; Shireen Y. Elhabian (CoRR, 2022)

GenCA: A Text-conditioned Generative Model for Realistic and Drivable Codec Avatars. - Keqiang Sun; Amin Jourabloo; Riddhish Bhalodia; Moustafa Meshry; Yu Rong; Zhengyu Yang 003; Thu Nguyen-Phuoc; Christian Häne; Jiu Xu; Sam Johnson; Hongsheng Li; Sofien Bouaziz (CoRR, 2024)

DeepSSM: A blueprint for image-to-shape deep learning models. - Riddhish Bhalodia; Shireen Y. Elhabian; Jadie Adams; Wenzheng Tao; Ladislav Kavan; Ross T. Whitaker (Medical Image Anal., 2024)