Arunava Chakravarty
Orcid: 0000-0003-3646-0650
According to our database1,
Arunava Chakravarty
authored at least 27 papers
between 2013 and 2024.
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Bibliography
2024
3DTINC: Time-Equivariant Non-Contrastive Learning for Predicting Disease Progression From Longitudinal OCTs.
IEEE Trans. Medical Imaging, September, 2024
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT Volumes.
IEEE Trans. Medical Imaging, September, 2024
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric Data.
IEEE Trans. Medical Imaging, March, 2024
Time-Equivariant Contrastive Learning for Degenerative Disease Progression in Retinal OCT.
CoRR, 2024
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
CoRR, 2023
Morph-SSL: Self-Supervision with Longitudinal Morphing to Predict AMD Progression from OCT.
CoRR, 2023
Pretrained Deep 2.5D Models for Efficient Predictive Modeling from Retinal OCT: A PINNACLE Study Report.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023
2022
TINC: Temporally Informed Non-contrastive Learning for Disease Progression Modeling in Retinal OCT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
2018
A Deep Learning based Joint Segmentation and Classification Framework for Glaucoma Assesment in Retinal Color Fundus Images.
CoRR, 2018
A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random field.
Comput. Methods Programs Biomed., 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Comput. Methods Programs Biomed., 2017
End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Coupled Sparse Dictionary for Depth-Based Cup Segmentation from Single Color Fundus Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
A Bag of Words approach for discriminating between retinal images containing exudates or drusen.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013