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 | 67 | 2020 |
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 | 67 | 2018 |
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 | 37 | 2016 |
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 | 36 | 2017 |
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 | 25 | 2020 |
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 | 21 | 2021 |
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 | 19 | 2018 |
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 | 18 | 2019 |
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 | 15 | 2024 |
Self-supervised discovery of anatomical shape landmarks R Bhalodia, L Kavan, RT Whitaker Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
dpvaes: Fixing sample generation for regularized vaes R Bhalodia, I Lee, S Elhabian Proceedings of the Asian Conference on Computer Vision, 2020 | 6 | 2020 |
Neural network training technique A Hatamizadeh, D Xu, X Wang, L Tam, R Bhalodia US Patent App. 17/188,338, 2023 | 5 | 2023 |
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 | 4 | 2022 |
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 | 4 | 2019 |
Leveraging unsupervised image registration for discovery of landmark shape descriptor R Bhalodia, S Elhabian, L Kavan, R Whitaker Medical image analysis 73, 102157, 2021 | 3 | 2021 |
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 | 3 | 2020 |
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 | 2 | 2019 |
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, ... | 2 | 2019 |
RENs: Relevance Encoding Networks K Iyer, R Bhalodia, S Elhabian arXiv preprint arXiv:2205.13061, 2022 | 1 | 2022 |
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 | 1 | 2021 |