Adway U. Kanhere

15 papers Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric Population. J. Imaging Inform. Medicine Devina Chatterjee, Adway U. Kanhere, Florence X. Doo, Jerry Zhao, Andrew Chan, Alexander Welsh, Pranav Kulkarni, Annie Trang, Vishwa S. Parekh, Paul H. Yi
2025	J	`jnl`	Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic Infarcts. J. Imaging Inform. Medicine Peter I. Kamel, Mazhar Khalid, Rachel Steger, Adway U. Kanhere, Pranav Kulkarni, Vishwa S. Parekh, Paul H. Yi, Dheeraj Gandhi, Uttam Bodanapally
2025	J	`jnl`	Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI Sequences. J. Imaging Inform. Medicine Peter I. Kamel, Adway U. Kanhere, Pranav Kulkarni, Mazhar Khalid, Rachel Steger, Uttam Bodanapally, Dheeraj Gandhi, Vishwa S. Parekh, Paul H. Yi
2024	J	`jnl`	Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. CoRR Pranav Kulkarni, Adway U. Kanhere, Dharmam Savani, Andrew Chan, Devina Chatterjee, Paul H. Yi, Vishwa S. Parekh
2024	—	`conf`	From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification. ML4H@NeurIPS Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging. J. Imaging Inform. Medicine Pranav Kulkarni, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning. CoRR Pranav Kulkarni, Adway U. Kanhere, Harshita Kukreja, Vivian Zhang, Paul H. Yi, Vishwa S. Parekh
2024	—	`conf`	Privacy-Preserving Collaboration for Multi-Organ Segmentation via Federated Learning from Sites with Partial Labels. CVPR Workshops Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming. CoRR Pranav Kulkarni, Sean Garin, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. CoRR Pranav Kulkarni, Adway U. Kanhere, Eliot L. Siegel, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. CoRR Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2023	J	`jnl`	Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh
2022	J	`jnl`	From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning. CoRR Pranav Kulkarni, Adway U. Kanhere, Paul H. Yi, Vishwa S. Parekh