Shrimanti Ghosh
Orcid: 0000-0003-0659-0147
According to our database1,
Shrimanti Ghosh
authored at least 14 papers
between 2017 and 2025.
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Bibliography
2025
Comput. Biol. Medicine, 2025
Shoulder Rotator Cuff Tear Detection from Ultrasound Videos Using Deep Reinforcement Learning.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation.
CoRR, 2024
CoRR, 2024
Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023
2022
Deep Learning using Pre-Brachytherapy MRI to Automatically Predict Applicator Induced Complex Uterine Deformation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2020
Automated Left Atrial Segmentation from Magnetic Resonance Image Sequences Using Deep Convolutional Neural Network with Autoencoder.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2018
Using Accelerometric and Gyroscopic Data to Improve Blood Pressure Prediction from Pulse Transit Time Using Recurrent Neural Network.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
A Structured Deep-Learning Based Approach for the Automated Segmentation of Human Leg Muscle from 3D MRI.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017