Adway U. Kanhere

According to our database, Adway U. Kanhere authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts.

Peter I. Kamel, Mazhar Khalid, Rachel Steger, Adway U. Kanhere, Pranav Kulkarni, Vishwa S. Parekh, Paul H. Yi, Dheeraj Gandhi, Uttam Bodanapally

J. Imaging Inform. Medicine, 2025

Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences.

Peter I. Kamel, Adway U. Kanhere, Pranav Kulkarni, Mazhar Khalid, Rachel Steger, Uttam Bodanapally, Dheeraj Gandhi, Vishwa S. Parekh, Paul H. Yi

J. Imaging Inform. Medicine, 2025

Standardizing Heterogeneous MRI Series Description Metadata Using Large Language Models.

Peter I. Kamel, Florence X. Doo, Dharmam Savani, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh

J. Imaging Inform. Medicine, 2025

Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population.

Devina Chatterjee, Adway U. Kanhere, Florence X. Doo, Jerry Zhao, Andrew Chan, Alexander Welsh, Pranav Kulkarni, Annie Trang, Vishwa S. Parekh, Paul H. Yi

J. Imaging Inform. Medicine, 2025

2024

ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging.

Pranav Kulkarni, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh

J. Imaging Inform. Medicine, 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

From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification.

Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh

Proceedings of the Machine Learning for Health, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale.

Pranav Kulkarni, Adway U. Kanhere, Eliot L. 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 L. 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