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Riddhish Bhalodia
Riddhish Bhalodia
PhD Student, Scientific Computing and Imaging Institute, University of Utah
Email confirmado em sci.utah.edu - Página inicial
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DeepSSM: a deep learning framework for statistical shape modeling from raw images
R Bhalodia, SY Elhabian, L Kavan, RT Whitaker
International Workshop on Shape in Medical Imaging, 244-257, 2018
302018
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
282017
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
282016
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
The Journal of craniofacial surgery 31 (3), 697, 2020
272020
A cooperative autoencoder for population-based regularization of CNN image registration
R Bhalodia, SY Elhabian, L Kavan, RT Whitaker
International Conference on Medical Image Computing and Computer-Assisted …, 2019
122019
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
72018
Self-supervised discovery of anatomical shape landmarks
R Bhalodia, L Kavan, RT Whitaker
International Conference on Medical Image Computing and Computer-Assisted …, 2020
62020
Uncertain-DeepSSM: From Images to Probabilistic Shape Models
J Adams, R Bhalodia, S Elhabian
International Workshop on Shape in Medical Imaging, 57-72, 2020
42020
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
International Workshop on Statistical Atlases and Computational Models of …, 2018
32018
DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
R Bhalodia, S Elhabian, J Adams, W Tao, L Kavan, R Whitaker
arXiv preprint arXiv:2110.07152, 2021
22021
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
22020
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
International Conference on Medical Image Computing and Computer-Assisted …, 2021
12021
dpVAEs: Fixing Sample Generation for Regularized VAEs
R Bhalodia, I Lee, S Elhabian
Proceedings of the Asian Conference on Computer Vision, 2020
12020
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
12019
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
2022
Correction to: A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data
W Tao, R Bhalodia, R Whitaker
International Workshop on Machine Learning in Medical Imaging, C2-C2, 2022
2022
Leveraging unsupervised image registration for discovery of landmark shape descriptor
R Bhalodia, S Elhabian, L Kavan, R Whitaker
Medical Image Analysis 73, 102157, 2021
2021
A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data
W Tao, R Bhalodia, R Whitaker
International Workshop on Machine Learning in Medical Imaging, 356-365, 2021
2021
Efficient Segmentation Pipeline Using Diffeomorphic Image Registration: A Validation Study
S Parikh, A Goparaju, R Bhalodia, B Loveless, A Morris, J Cates, ...
2019 Computing in Cardiology (CinC), 1-4, 2019
2019
CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
R Bhalodia, S Elhabian, L Kavan, R Whitaker
arXiv preprint arXiv:1906.05441, 2019
2019
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Artigos 1–20