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Arunava Chakravarty

Showing results (1-10 of 11) with videos related to

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IEEE Journal of Biomedical and Health Informatics|July 12, 2018
RACE-Net: A Recurrent Neural Network for Biomedical Image SegmentationArunava Chakravarty, Jayanthi Sivaswamy
Computer Methods and Programs in Biomedicine|July 24, 2017
Joint optic disc and cup boundary extraction from monocular fundus imagesArunava Chakravarty, Jayanthi Sivaswamy
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Coupled sparse dictionary for depth-based cup segmentation from single color fundus imageArunava Chakravarty, Jayanthi Sivaswamy
Computer Methods and Programs in Biomedicine|October 20, 2018
A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random fieldArunava Chakravarty, Jayanthi Sivaswamy
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph ScreeningArunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, et al.
IEEE Transactions on Medical Imaging|November 7, 2023
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric DataDmitrii Lachinov, Arunava Chakravarty, Christoph Grechenig, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest RadiographsArka Mitra, Arunava Chakravarty, Nirmalya Ghosh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in MammogramsChandra K Sarath, Arunava Chakravarty, Nirmalya Ghosh, et al.
Journal of Glaucoma|November 19, 2015
Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus PhotographsLipi Chakrabarty, Gopal Datt Joshi, Arunava Chakravarty, et al.
IEEE Transactions on Medical Imaging|April 18, 2024
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT VolumesArunava Chakravarty, Taha Emre, Oliver Leingang, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Journal of Biomedical and Health Informatics|July 12, 2018
RACE-Net: A Recurrent Neural Network for Biomedical Image SegmentationArunava Chakravarty, Jayanthi Sivaswamy
Computer Methods and Programs in Biomedicine|July 24, 2017
Joint optic disc and cup boundary extraction from monocular fundus imagesArunava Chakravarty, Jayanthi Sivaswamy
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 22, 2014
Coupled sparse dictionary for depth-based cup segmentation from single color fundus imageArunava Chakravarty, Jayanthi Sivaswamy
Computer Methods and Programs in Biomedicine|October 20, 2018
A supervised joint multi-layer segmentation framework for retinal optical coherence tomography images using conditional random fieldArunava Chakravarty, Jayanthi Sivaswamy
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph ScreeningArunava Chakravarty, Tandra Sarkar, Nirmalya Ghosh, et al.
IEEE Transactions on Medical Imaging|November 7, 2023
Learning Spatio-Temporal Model of Disease Progression With NeuralODEs From Longitudinal Volumetric DataDmitrii Lachinov, Arunava Chakravarty, Christoph Grechenig, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest RadiographsArka Mitra, Arunava Chakravarty, Nirmalya Ghosh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in MammogramsChandra K Sarath, Arunava Chakravarty, Nirmalya Ghosh, et al.
Journal of Glaucoma|November 19, 2015
Automated Detection of Glaucoma From Topographic Features of the Optic Nerve Head in Color Fundus PhotographsLipi Chakrabarty, Gopal Datt Joshi, Arunava Chakravarty, et al.
IEEE Transactions on Medical Imaging|April 18, 2024
Morph-SSL: Self-Supervision With Longitudinal Morphing for Forecasting AMD Progression From OCT VolumesArunava Chakravarty, Taha Emre, Oliver Leingang, et al.
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