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Bio
Dr. Wu leads the Intelligent Computing for Clinical Imaging (ICCI) lab (16 trainee members and >20 clinician collaborators) and serves as the Technical Director for AI Innovations in Radiology at Pitt/UPMC. He is the founding director of the Pittsburgh Center for Artificial Intelligence Innovation in Medical Imaging (CAIIMI, https://www.aimi.pitt.edu/), which includes more than 90 multidisciplinary members from Pitt, UPMC, and CMU, working on advancing AI research and clinical translation. Dr. Wu’s background is in Computer Science (Computer Vision) with additional clinical training in radiology research. Dr. Wu’s main research areas include computational biomedical imaging analysis, artificial intelligence in clinical/translational applications, big (health) data coupled with machine/deep learning, imaging-based clinical studies, and radiomics/radiogenomics/radioproteomics. Dr. Wu’s research has been growing from focusing on breast cancer imaging (screening, risk assessment, diagnosis, prognosis, and treatment) to cover many other diseases/organs as well, such as brain injury, gastric cancer, intestinalis, orthopedics, liver cancer and transplantation, pancreatic cancer, lung cancer, cardiac arrest, obesity, etc. Dr. Wu is an advocator of and passionate about developing trustworthy medical imaging AI for clinical/translational applications. Dr. Wu received the Pitt Innovator Award in 2019, and his lab received the prestigious "RSNA Trainee Research Award" twice in 2017 and 2019. Dr. Wu’s research is supported by NIH/NCI, RSNA, UPMC Enterprises, Pittsburgh Foundation, Pittsburgh Health Data Alliance, Stanly Marks Research Foundation, University of Pittsburgh Physician (UPP) Foundation, Amazon, and Nvidia. As a PI he has received more than 5 million dollars in research funds over the past 5 years. Dr. Wu has published > 100 papers/abstracts in both computing and clinical fields and he mentored more than 30 students. Dr. Wu is a regular reviewer for many grant agencies/study sections, renowned journals, and conferences.
Research Interests
Papers共 196 篇Author StatisticsCo-AuthorSimilar Experts
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NEUROSURGERYno. 2 (2024): 317-324
Radiologyno. 1 (2024): e230269-e230269
IMAGING INFORMATICS FOR HEALTHCARE, RESEARCH, AND APPLICATIONS, MEDICAL IMAGING 2024 (2024)
CoRR (2024)
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Dooman Arefan, Nicholas M. D’Ardenne,Negaur Iranpour,Roberta Catania, Jacob Yousef,Kalina Chupetlovska,Akshata Moghe,Biatta Sholosh,Senthur Thangasamy,Amir A. Borhani,Aatur D. Singhi,Satdarshan P. Monga,
Abdominal Radiologypp.1-11, (2024)
COMPUTER-AIDED DIAGNOSIS, MEDICAL IMAGING 2024 (2024)
Breast Cancer Researchno. 1 (2024): 1-8
Medical Imaging 2024: Computer-Aided Diagnosis (2024)
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