Riddhish Bhalodia

Orcid: 0000-0002-3616-087X

According to our database1, Riddhish Bhalodia authored at least 20 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
DeepSSM: A blueprint for image-to-shape deep learning models.
Medical Image Anal., January, 2024

2022
RENs: Relevance Encoding Networks.
CoRR, 2022

Learning Population-level Shape Statistics and Anatomy Segmentation From Images: A Joint Deep Learning Model.
CoRR, 2022

2021
Leveraging unsupervised image registration for discovery of landmark shape descriptor.
Medical Image Anal., 2021

A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Unsupervised Shape Normality Metric for Severity Quantification.
CoRR, 2020

Self-supervised Discovery of Anatomical Shape Landmarks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Uncertain-DeepSSM: From Images to Probabilistic Shape Models.
Proceedings of the Shape in Medical Imaging - International Workshop, 2020

dpVAEs: Fixing Sample Generation for Regularized VAEs.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets.
CoRR, 2019

A Cooperative Autoencoder for Population-Based Regularization of CNN Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study.
Proceedings of the 46th Computing in Cardiology, 2019

Interatrial Septum and Appendage Ostium in Atrial Fibrillation Patients: A Population Study.
Proceedings of the 46th Computing in Cardiology, 2019

Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction?
Proceedings of the 46th Computing in Cardiology, 2019

2018
Mixture Modeling of Global Shape Priors and Autoencoding Local Intensity Priors for Left Atrium Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images.
Proceedings of the Shape in Medical Imaging, 2018

Deep Learning for End-to-End Atrial Fibrillation Recurrence Estimation.
Proceedings of the Computing in Cardiology, 2018

2017
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Joint desmoking and denoising of laparoscopy images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016


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