Shrimanti Ghosh

According to our database, Shrimanti Ghosh authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts.

Assefa Seyoum Wahd, Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Adam McArthur, Jiechen Zhang, Jacob L. Jaremko, Abhilash Rakkunedeth Hareendranathan

CoRR, 2024

A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation.

Yuyue Zhou, Banafshe Felfeliyan, Shrimanti Ghosh, Jessica Knight, Fatima Alves-Pereira, Christopher Keen, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko

CoRR, 2024

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

Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko

CoRR, 2024

Automated Detection of Shoulder Rotator Cuff Tendon Tears from Ultrasound Images by CNN-Autoencoder.

Shrimanti Ghosh, Banafshe Felfeliyan, Yuyue Zhou, Shaobo Liu, Jessica Knight, Natasha Akhlaq, Jessica Küpper, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Application of Vision-Language Models for Assessing Osteoarthritis.

Banafshe Felfeliyan, Yuyue Zhou, Shrimanti Ghosh, Jessica Küpper, Shaobo Liu, Abhilash Rakkunedeth, Jacob L. Jaremko

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound.

Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Shrimanti Ghosh, Fatima Alves-Pereira, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko

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.

Shrimanti Ghosh, Kumaradevan Punithakumar, Fleur Huang, Geetha Menon, Pierre Boulanger

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.

Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger, Kumaradevan Punithakumar, Michelle Noga

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.

Shrimanti Ghosh, Ankur Banerjee, Nilanjan Ray, Peter W. Wood, Pierre Boulanger, Raj Padwal

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Automated 3D muscle segmentation from MRI data using convolutional neural network.

Shrimanti Ghosh, Pierre Boulanger, Scott T. Acton, Silvia S. Blemker, Nilanjan Ray

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.

Shrimanti Ghosh, Nilanjan Ray, Pierre Boulanger

Proceedings of the 14th Conference on Computer and Robot Vision, 2017