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20222024
most citedOptimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels

3 citations · 6 across the 9 of their papers we have counts for

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eess.IV2024

Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning

Pranav Kulkarni, Adway Kanhere, Harshita Kukreja +3

Generative Adversarial Network (GAN)-based synthesis of fat suppressed (FS) MRIs from non-FS proton density sequences has the potential to accelerate acquisition of knee MRIs. Howe…

cs.CV2024

Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations

Pranav Kulkarni, Adway Kanhere, Dharmam Savani +4

Curating annotations for medical image segmentation is a labor-intensive and time-consuming task that requires domain expertise, resulting in "narrowly" focused deep learning (DL)…