From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning. - Pranav Kulkarni; Adway U. Kanhere; Paul H. Yi; Vishwa S. Parekh (CoRR, 2022)

Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. - Pranav Kulkarni; Adway U. Kanhere; Paul H. Yi; Vishwa S. Parekh (CoRR, 2023)

SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. - Adway U. Kanhere; Pranav Kulkarni; Paul H. Yi; Vishwa S. Parekh (CoRR, 2023)

Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. - Pranav Kulkarni; Adway U. Kanhere; Paul H. Yi; Vishwa S. Parekh (CoRR, 2023)

Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery. - Pranav Kulkarni; Adway U. Kanhere; Paul H. Yi; Vishwa S. Parekh (CoRR, 2023)

High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming. - Pranav Kulkarni; Sean Garin; Adway U. Kanhere; Eliot Siegel; Paul H. Yi; Vishwa S. Parekh (CoRR, 2023)

One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. - Pranav Kulkarni; Adway U. Kanhere; Eliot Siegel; Paul H. Yi; Vishwa S. Parekh (CoRR, 2023)

Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels. - Adway U. Kanhere; Pranav Kulkarni; Paul H. Yi; Vishwa S. Parekh (CVPR Workshops, 2024)

From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification. - Pranav Kulkarni; Adway U. Kanhere; Paul H. Yi; Vishwa S. Parekh (ML4H@NeurIPS, 2024)

Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. - Pranav Kulkarni; Adway U. Kanhere; Dharmam Savani; Andrew Chan; Devina Chatterjee; Paul H. Yi; Vishwa S. Parekh (CoRR, 2024)

Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning. - Pranav Kulkarni; Adway U. Kanhere; Harshita Kukreja; Vivian Zhang; Paul H. Yi; Vishwa S. Parekh (CoRR, 2024)