publications/preprints
All publications sorted by categories in reversed chronological order.
2025
- MIDL
Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep LearningIn Medical Imaging with Deep Learning, 2025 - Radiology
Open-Source Large Language Models in Radiology: A Review and Tutorial for Practical Research and Clinical DeploymentRadiology, 2025 - MICCAI Book Chapter
Expanding the federated horizon: cross-domain techniques for collective intelligenceIn Federated Learning for Medical Imaging, 2025 - IJPORL Review
- Radiology
Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in RadiologyRadiology, 2025 - JIIM
Standardizing Heterogeneous MRI Series Description Metadata Using Large Language ModelsJournal of Imaging Informatics in Medicine, 2025 - The Blue Journal
Upper Airway Volume Predicts Brain Structure and Cognition in AdolescentsAmerican Journal of Respiratory and Critical Care Medicine, 2025
2024
- JACR
Evaluation of climate-aware metrics tools for radiology informatics and artificial intelligence: toward a potential radiology ecolabelJournal of the American College of Radiology, 2024 - MIDL Short Paper
Anytime, anywhere, anyone: Investigating the feasibility of segment anything model for crowd-sourcing medical image annotationsarXiv preprint arXiv:2403.15218, 2024 - MIDL Short Paper
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated LearningarXiv preprint arXiv:2404.07374, 2024 - Using Deep Learning to Predict Knee Osteoarthritis2024
- JIIM
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingJournal of Imaging Informatics in Medicine, 2024 - JIIM
Optimizing Acute Stroke Segmentation on MRI Using Deep Learning: Self-Configuring Neural Networks Provide High Performance Using Only DWI SequencesJournal of Imaging Informatics in Medicine, 2024 - Radiology
Optimal large language model characteristics to balance accuracy and energy use for sustainable medical applicationsRadiology, 2024 - JIIM
Children Are Not Small Adults: Addressing Limited Generalizability of an Adult Deep Learning CT Organ Segmentation Model to the Pediatric PopulationJournal of Imaging Informatics in Medicine, 2024 - JIIM
Dual Energy CT for Deep Learning-Based Segmentation and Volumetric Estimation of Early Ischemic InfarctsJournal of Imaging Informatics in Medicine, 2024 - PrePrint
From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification2024
2023
- Master’s Thesis
FEDERATED LEARNING BASED MEDICAL IMAGE SEGMENTATION FOR HETEROGENEOUS DATA SETS WITH PARTIAL ANNOTATIONSJohns Hopkins University, 2023 - Radiology
Coarse race and ethnicity labels mask granular underdiagnosis disparities in deep learning models for chest radiograph diagnosisRadiology, 2023 - PrePrint Surgical Aggregation: Federated Class-Heterogeneous LearningarXiv preprint arXiv:2301.06683, 2023
- PrePrint
Text2Cohort: Facilitating Intuitive Access to Biomedical Data with Natural Language Cohort DiscoveryarXiv preprint arXiv:2305.07637, 2023
2022
- MedNeurIPS
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated LearningarXiv preprint arXiv:2211.06212, 2022