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Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
5-R01-EB031575-04 Harmonization of breast MRI data Maciej Mazurowski Duke University
1-R21-EB035247-01A1 Improving prognosis prediction and therapy selection for cutaneous squamous cell carcinomas using artificial intelligence William Lotter Dana-Farber Cancer Inst
1-R01-EB036501-01A1 Integrating Clinical Knowledge: A Multimodal AI System for Reliable Head CT Understanding and Interpretation Pranav Rajpurkar Harvard Medical School
2-R01-EB022573-09 Interpretable Deep Learning for Analyzing Brain Development Heterogeneity with Personalized Functional Networks Across Multi-Site Data Yong Fan University of Pennsylvania
7-R21-EB033455-04 Knowledge-informed Deep Learning for Apnea Detection with Limited Annotations Xiaochen Xian Georgia Institute of Technology
1-R01-EB036530-01A1 Leveraging Multi-Modal AI for Selective Use of Ultrasound in Breast Cancer Screening Yiqiu Shen New York University School of Medicine
5-R21-EB030762-02 Machine Learning-Based Adaptation of Data Sampling and Reconstruction for Efficient Dynamic MRI Saiprasad Ravishankar Michigan State University
5-R00-EB033857-04 Machine Learning-enabled Classification of Extracellular Vesicles Using Nanoplasmonic Microfluidics Colin Hisey Northwestern University
5-R01-EB033788-03 Maternal mHealth blood hemoglobin analysis with informed deep learning Young Kim Purdue University
1-R13-EB038076-01 Medical Imaging with Deep Learning (MIDL) Conference 2025 Tolga Tasdizen University of Utah