Sandesh Ghimire
Orcid: 0009-0005-4082-7138
According to our database1,
Sandesh Ghimire
authored at least 31 papers
between 2016 and 2023.
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Bibliography
2023
Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study With a Web Application for Early Intervention.
IEEE Access, 2023
Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs).
Proceedings of the IEEE International Symposium on Workload Characterization, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
2021
CoRR, 2021
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective.
CoRR, 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
2019
Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error.
IEEE Trans. Medical Imaging, 2019
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors.
CoRR, 2018
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential.
CoRR, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Computing in Cardiology, 2018
2017
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal.
Proceedings of the Computing in Cardiology, 2017
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach.
Proceedings of the Computing in Cardiology, 2017
2016
Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016