Paul H. Yi - RankMe

39 papers A* 2B 1Misc 1Journal 31Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MedArena: Comparing LLMs for Medicine-in-the-Wild Clinician Preferences. CoRR Eric Wu, Kevin Wu, Jason Hom, Paul H. Yi, Angela Zhang, Alejandro Lozano, Jeffrey J. Nirschl, Jeff Tangney, Kevin Byram, Braydon Dymm, Narender Annapureddy, Eric Topol, David Ouyang, James Zou
2025	J	`jnl`	Aligning Explanations with Human Communication. CoRR Jacopo Teneggi, Zhenzhen Wang, Paul H. Yi, Tianmin Shu, Jeremias Sulam
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	A*	`conf`	Multiaccuracy and Multicalibration via Proxy Groups. ICML Beepul Bharti, Mary Versa Clemens-Sewall, Paul H. Yi, Jeremias Sulam
2025	J	`jnl`	Multiaccuracy and Multicalibration via Proxy Groups. CoRR Beepul Bharti, Mary Versa Clemens-Sewall, Paul H. Yi, Jeremias Sulam
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
2025	J	`jnl`	Out-of-Distribution Detection and Radiological Data Monitoring Using Statistical Process Control. J. Imaging Inform. Medicine Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
2025	—	`conf`	Sufficient and Necessary Explanations (and What Lies in Between). CPAL Beepul Bharti, Paul H. Yi, Jeremias Sulam
2025	J	`jnl`	Towards Virtual Clinical Trials of Radiology AI with Conditional Generative Modeling. CoRR Benjamin D. Killeen, Bohua Wan, Aditya V. Kulkarni, Nathan Drenkow, Michael Oberst, Paul H. Yi, Mathias Unberath
2025	B	`conf`	When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models. IEEE Big Data S. M. Mustaquim, Anantaa Kotal, Paul H. Yi
2025	J	`jnl`	When Privacy Isn't Synthetic: Hidden Data Leakage in Generative AI Models. CoRR S. M. Mustaquim, Anantaa Kotal, 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	Misc	`conf`	Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. QCE Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
2024	J	`jnl`	Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. CoRR Skylar Chan, Pranav Kulkarni, 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`	Gradient-Based Saliency Maps Are Not Trustworthy Visual Explanations of Automated AI Musculoskeletal Diagnoses. J. Imaging Inform. Medicine Kesavan Venkatesh, Simukayi Mutasa, Fletcher Moore, Jeremias Sulam, Paul H. Yi
2024	—	`conf`	Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. MIDL Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa Sanjay Parekh
2024	J	`jnl`	Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. CoRR Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, 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	J	`jnl`	Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. CoRR Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
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
2024	J	`jnl`	Sufficient and Necessary Explanations (and What Lies in Between). CoRR Beepul Bharti, Paul H. Yi, Jeremias Sulam
2024	J	`jnl`	The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. npj Digit. Medicine Stephanie L. McNamara, Paul H. Yi, William Lotter
2023	A*	`conf`	Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors. NeurIPS Beepul Bharti, Paul H. Yi, Jeremias Sulam
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`	Estimating and Controlling for Fairness via Sensitive Attribute Predictors. CoRR Beepul Bharti, Paul H. Yi, Jeremias Sulam
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
2022	J	`jnl`	Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability. J. Digit. Imaging Christian J. Park, Paul H. Yi, Hussain Al Yousif, Kenneth C. Wang
2022	J	`jnl`	Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT. CoRR Jacopo Teneggi, Paul H. Yi, Jeremias Sulam
2021	J	`jnl`	DeepCAT: Deep Computer-Aided Triage of Screening Mammography. J. Digit. Imaging Paul H. Yi, Dhananjay Singh, Susan C. Harvey, Gregory D. Hager, Lisa A. Mullen
2019	J	`jnl`	Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs. J. Digit. Imaging Tae Kyung Kim, Paul H. Yi, Jinchi Wei, Ji Won Shin, Gregory D. Hager, Ferdinand K. Hui, Haris I. Sair, Cheng Ting Lin
2019	J	`jnl`	Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. J. Digit. Imaging Paul H. Yi, Abigail Lin, Jinchi Wei, Alice C. Yu, Haris I. Sair, Ferdinand K. Hui, Gregory D. Hager, Susan C. Harvey