Shrimanti Ghosh

Orcid: 0000-0003-0659-0147

According to our database1, Shrimanti Ghosh authored at least 14 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Sam2Rad: A segmentation model for medical images with learnable prompts.
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

Application Of Vision-Language Models For Assessing Osteoarthritis Disease Severity.
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

Application of Vision-Language Models for Assessing Osteoarthritis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SimICL: A Simple Visual In-context Learning Framework for Ultrasound Segmentation.
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
Automated 3D muscle segmentation from MRI data using convolutional neural network.
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


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