Adway U. Kanhere

According to our database, Adway U. Kanhere authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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

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

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

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

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

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

2022

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