Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia. - Linwei Wang; Omar Gharbia; Sandesh Ghimire; Milan Horacek; John L. Sapp (CinC, 2016)

Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. - Jwala Dhamala; Jaume Coll-Font; Jess D. Tate; María de la Salud Guillem Sánchez; Dana H. Brooks; Linwei Wang; Rob S. MacLeod; Sandesh Ghimire (CinC, 2017)

L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal. - Sandesh Ghimire; Linwei Wang (CinC, 2017)

A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. - Sandesh Ghimire; John L. Sapp; Milan Horacek; Linwei Wang (MICCAI (2), 2017)

Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential. - Sandesh Ghimire; Linwei Wang (CinC, 2018)

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. - Jwala Dhamala; Sandesh Ghimire; John L. Sapp; B. Milan Horácek; Linwei Wang (MICCAI (2), 2018)

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. - Sandesh Ghimire; Jwala Dhamala; Prashnna Kumar Gyawali; John L. Sapp; Milan Horacek; Linwei Wang (MICCAI (2), 2018)

Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential. - Sandesh Ghimire; Prashnna Kumar Gyawali; John L. Sapp; Milan Horacek; Linwei Wang (CoRR, 2018)

Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. - Prashnna K. Gyawali; Cameron Knight; Sandesh Ghimire; B. Milan Horácek; John L. Sapp; Linwei Wang (CoRR, 2018)

Improving Disentangled Representation Learning with the Beta Bernoulli Process. - Prashnna K. Gyawali; Zhiyuan Li 007; Cameron Knight; Sandesh Ghimire; B. Milan Horácek; John L. Sapp; Linwei Wang (ICDM, 2019)

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. - Sandesh Ghimire; Prashnna Kumar Gyawali; Jwala Dhamala; John L. Sapp; Milan Horacek; Linwei Wang (IPMI, 2019)

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. - Jwala Dhamala; Sandesh Ghimire; John L. Sapp; B. Milan Horácek; Linwei Wang (MICCAI (2), 2019)

Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. - Prashnna Kumar Gyawali; Zhiyuan Li 007; Sandesh Ghimire; Linwei Wang (MICCAI (6), 2019)

Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error. - Sandesh Ghimire; John L. Sapp; B. Milan Horácek; Linwei Wang (IEEE Trans. Medical Imaging, 2019)

Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. - Prashnna Kumar Gyawali; Sandesh Ghimire; Linwei Wang (ICDM, 2020)

Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. - Sandesh Ghimire; Satyananda Kashyap; Joy T. Wu; Alexandros Karargyris; Mehdi Moradi (MLMI@MICCAI, 2020)

Semi-supervised Medical Image Classification with Global Latent Mixing. - Prashnna Kumar Gyawali; Sandesh Ghimire; Pradeep Bajracharya; Zhiyuan Li 007; Linwei Wang (MICCAI (1), 2020)

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. - Xiajun Jiang; Sandesh Ghimire; Jwala Dhamala; Zhiyuan Li 007; Prashnna Kumar Gyawali; Linwei Wang (MICCAI (6), 2020)

Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. - Sandesh Ghimire; Prashnna K. Gyawali; Linwei Wang (CoRR, 2020)

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. - Sandesh Ghimire; Aria Masoomi; Jennifer G. Dy (NeurIPS, 2021)

Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective. - Armand Comas Massague; Sandesh Ghimire; Haolin Li; Mario Sznaier; Octavia I. Camps (CoRR, 2021)

Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. - Max Torop; Sandesh Ghimire; WenQian Liu; Dana H. Brooks; Octavia I. Camps; Milind Rajadhyaksha; Jennifer G. Dy; Kivanç Köse (CoRR, 2021)

Explanation Uncertainty with Decision Boundary Awareness. - Davin Hill; Aria Masoomi; Sandesh Ghimire; Max Torop; Jennifer G. Dy (CoRR, 2022)

Inferring Relational Potentials in Interacting Systems. - Armand Comas Massague; Yilun Du; Christian Fernandez Lopez; Sandesh Ghimire; Mario Sznaier; Joshua B. Tenenbaum; Octavia I. Camps (ICML, 2023)

NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs). - Sandesh Ghimire; Shinsaku Kataoka; Lillian Pentecost (IISWC, 2023)

Learning Object-Centric Dynamic Modes from Video and Emerging Properties. - Armand Comas Massague; Christian Fernandez Lopez; Sandesh Ghimire; Haolin Li; Mario Sznaier; Octavia I. Camps (L4DC, 2023)

Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. - Nilesh Kumar; Prashnna K. Gyawali; Sandesh Ghimire; Linwei Wang (MICCAI (2), 2023)

Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results. - Krishna Mridha; Fitsum Getachew Tola; Shakil Sarkar; Nazmul Arefin; Sandesh Ghimire; Anmol Aran; Aashish Prashad Pandey (MIWAI, 2023)

Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study With a Web Application for Early Intervention. - Krishna Mridha; Sandesh Ghimire; Jungpil Shin 001; Anmol Aran; Md. Mezbah Uddin; Muhammad Firoz Mridha (IEEE Access, 2023)

Divide and Compose with Score Based Generative Models. - Sandesh Ghimire; Armand Comas Massague; Davin Hill; Aria Masoomi; Octavia I. Camps; Jennifer G. Dy (CoRR, 2023)

Geometry of Score Based Generative Models. - Sandesh Ghimire; Jinyang Liu 005; Armand Comas Massague; Davin Hill; Aria Masoomi; Octavia I. Camps; Jennifer G. Dy (CoRR, 2023)

Boundary-Aware Uncertainty for Feature Attribution Explainers. - Davin Hill; Aria Masoomi; Max Torop; Sandesh Ghimire; Jennifer G. Dy (AISTATS, 2024)

Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. - Jinyang Liu 005; Wondmgezahu Teshome; Sandesh Ghimire; Mario Sznaier; Octavia I. Camps (CVPR, 2024)