5 citations · 5 across the 3 of their papers we have counts for
3 papers
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data
Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi +2
Foundation models like the Segment Anything Model (SAM) excel in zero-shot segmentation for natural images but struggle with medical image segmentation due to differences in textur…
Automated detection of motion artifacts in brain MR images using deep learning and explainable artificial intelligence
Marina Manso Jimeno, Keerthi Sravan Ravi, Maggie Fung +2
Quality assessment, including inspecting the images for artifacts, is a critical step during MRI data acquisition to ensure data quality and downstream analysis or interpretation s…
Developing and deploying deep learning models in brain MRI: a review
Kunal Aggarwal, Marina Manso Jimeno, Keerthi Sravan Ravi +2
Magnetic Resonance Imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the burden on radiologists and MR technologists, and improve throughput. The easy a…