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Riddhish Bhalodia
Riddhish Bhalodia
Research Scientist, Meta
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
DeepSSM: a deep learning framework for statistical shape modeling from raw images
R Bhalodia, SY Elhabian, L Kavan, RT Whitaker
Shape in Medical Imaging: International Workshop, ShapeMI 2018, Held in …, 2018
642018
Quantifying the severity of metopic craniosynostosis: a pilot study application of machine learning in craniofacial surgery
R Bhalodia, LA Dvoracek, AM Ayyash, L Kavan, R Whitaker, JA Goldstein
Journal of Craniofacial Surgery 31 (3), 697-701, 2020
632020
Joint desmoking and denoising of laparoscopy images
A Kotwal, R Bhalodia, SP Awate
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1050-1054, 2016
372016
Joint desmoking, specularity removal, and denoising of laparoscopy images via graphical models and Bayesian inference
A Baid, A Kotwal, R Bhalodia, SN Merchant, SP Awate
2017 IEEE 14th international symposium on Biomedical imaging (ISBI 2017 …, 2017
352017
Uncertain-deepssm: From images to probabilistic shape models
J Adams, R Bhalodia, S Elhabian
Shape in Medical Imaging: International Workshop, ShapeMI 2020, Held in …, 2020
222020
Improving pneumonia localization via cross-attention on medical images and reports
R Bhalodia, A Hatamizadeh, L Tam, Z Xu, X Wang, E Turkbey, D Xu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
182021
A cooperative autoencoder for population-based regularization of CNN image registration
R Bhalodia, SY Elhabian, L Kavan, RT Whitaker
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
182019
Deep learning for end-to-end atrial fibrillation recurrence estimation
R Bhalodia, A Goparaju, T Sodergren, A Morris, E Kholmovski, ...
2018 Computing in Cardiology Conference (CinC) 45, 1-4, 2018
182018
DeepSSM: A blueprint for image-to-shape deep learning models
R Bhalodia, S Elhabian, J Adams, W Tao, L Kavan, R Whitaker
Medical Image Analysis 91, 103034, 2024
112024
Self-supervised discovery of anatomical shape landmarks
R Bhalodia, L Kavan, RT Whitaker
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
92020
dpvaes: Fixing sample generation for regularized vaes
R Bhalodia, I Lee, S Elhabian
Proceedings of the Asian Conference on Computer Vision, 2020
62020
Neural network training technique
A Hatamizadeh, D Xu, X Wang, L Tam, R Bhalodia
US Patent App. 17/188,338, 2023
42023
Learning population-level shape statistics and anatomy segmentation from images: A joint deep learning model
W Tao, R Bhalodia, S Elhabian
arXiv preprint arXiv:2201.03481, 2022
42022
Mixture modeling of global shape priors and autoencoding local intensity priors for left atrium segmentation
T Sodergren, R Bhalodia, R Whitaker, J Cates, N Marrouche, S Elhabian
Statistical Atlases and Computational Models of the Heart. Atrial …, 2019
42019
Unsupervised shape normality metric for severity quantification
W Tao, R Bhalodia, E Anstadt, L Kavan, RT Whitaker, JA Goldstein
arXiv preprint arXiv:2007.09307, 2020
32020
Leveraging unsupervised image registration for discovery of landmark shape descriptor
R Bhalodia, S Elhabian, L Kavan, R Whitaker
Medical image analysis 73, 102157, 2021
22021
Quantifying the severity of metopic craniosynostosis: A pilot study in application of advanced machine learning in craniofacial surgery
R Bhalodia, LA Dvoracek, AM Ayyash, L Kavan, R Whitaker, JA Goldstein, ...
Plastic Surgery 2019, 2019
22019
Does Alignment in Statistical Shape Modeling of Left Atrium Appendage Impact Stroke Prediction?
R Bhalodia, A Subramanian, M Alan, J Cates, R Whitaker, E Kholmovski, ...
22019
RENs: Relevance Encoding Networks
K Iyer, R Bhalodia, S Elhabian
arXiv preprint arXiv:2205.13061, 2022
12022
A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data
W Tao, R Bhalodia, R Whitaker
Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021
12021
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