8 citations · 14 across the 9 of their papers we have counts for
9 papers
Automated Motion Artifact Check for MRI (AutoMAC-MRI): An Interpretable Framework for Motion Artifact Detection and Severity Assessment
Antony Jerald, Dattesh Shanbhag, Sudhanya Chatterjee
Motion artifacts degrade MRI image quality and increase patient recalls. Existing automated quality assessment methods are largely limited to binary decisions and provide little in…
Test Time Optimized Generalized AI-based Medical Image Registration Method
Sneha Sree C., Dattesh Shanbhag, Sudhanya Chatterjee
Medical image registration is critical for aligning anatomical structures across imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasou…
Structure-Aware Adaptive Kernel MPPCA Denoising for Diffusion MRI
Ananya Singhal, Dattesh Dayanand Shanbhag, Sudhanya Chatterjee
Diffusion-weighted MRI (DWI) at high b-values often suffers from low signal-to-noise ratio (SNR), making image quality poor. Marchenko-Pastur PCA (MPPCA) is a popular method to red…
Data Adaptive Few-shot Multi Label Segmentation with Foundation Model
Gurunath Reddy, Dattesh Shanbhag, Deepa Anand
The high cost of obtaining accurate annotations for image segmentation and localization makes the use of one and few shot algorithms attractive. Several state-of-the-art methods fo…
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
Hemant Kumar Aggarwal, Sudhanya Chatterjee, Dattesh Shanbhag +2
Single-shot magnetic resonance (MR) imaging acquires the entire k-space data in a single shot and it has various applications in whole-body imaging. However, the long acquisition t…
Language Augmentation in CLIP for Improved Anatomy Detection on Multi-modal Medical Images
Mansi Kakkar, Dattesh Shanbhag, Chandan Aladahalli +1
Vision-language models have emerged as a powerful tool for previously challenging multi-modal classification problem in the medical domain. This development has led to the explorat…
One-shot Localization and Segmentation of Medical Images with Foundation Models
Deepa Anand, Gurunath Reddy M, Vanika Singhal +10
Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image corresponde…
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network
Sandeep Kaushik, Mikael Bylund, Cristina Cozzini +12
In this work, we present a method for synthetic CT (sCT) generation from zero-echo-time (ZTE) MRI aimed at structural and quantitative accuracies of the image, with a particular fo…
An SVM Based Approach for Cardiac View Planning
Ramasubramanian Sundararajan, Hima Patel, Dattesh Shanbhag +1
We consider the problem of automatically prescribing oblique planes (short axis, 4 chamber and 2 chamber views) in Cardiac Magnetic Resonance Imaging (MRI). A concern with technolo…