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    Adrian Dalca

    Assistant Professor at Harvard Medical School; Research Scientist at Massachusetts Institute of Technology

    Adrian Dalca is an Assistant Professor at Harvard Medical School and a Research Scientist at MIT's CSAIL. He holds a PhD from MIT's Medical Vision Group and has a strong background in machine learning and probabilistic models for biomedical data, particularly medical image analysis. His research interests extend to unique approaches like predicting medical images from genotypes and enhancing clinical images using shared anatomy insights across a population. Adrian is dedicated to bridging the gap between medical image analysis advancements and real-world clinical applications.

    Adrian's educational journey includes a PhD in Computer Science with a specialization in Machine Learning for Medical Image Analysis, an S.M. in Computer Science focusing on Medical Image Analysis, an MSc in Computational Biology from the University of Toronto, and a B.Sc. in Computer Science also from the University of Toronto. This diverse educational background contributes to his interdisciplinary approach to research.

    Throughout his career, Adrian Dalca has held various significant roles including being an Assistant Professor at Harvard Medical School, a Research Scientist at MIT, an Instructor (Junior Faculty) at Harvard Medical School, and a Postdoctoral Research Fellow at prestigious institutions like Harvard Medical School, Massachusetts General Hospital, and MIT. Additionally, he has contributed as a Research Affiliate, Research Assistant during his PhD and Postdoctoral positions at MIT, and as a Research Assistant during his studies at the University of Toronto.

    Adrian Dalca's work specifically focuses on applying machine learning and probabilistic models to biomedical data, with a specialization in medical image analysis. His innovative research directions include leveraging genotypes and medical records for predicting medical images, as well as improving clinical images through insights drawn from shared anatomical features across populations. He is driven by a passion for exploring unconventional paths to uncover new analytical possibilities and is enthusiastic about translating sophisticated tools developed in the field of medical image analysis into practical solutions that can benefit healthcare professionals and patients alike.

    Highlights

    Apr 15 · TechTarget
    Machine learning framework captures uncertainty in medical images - TechTarget
    Machine learning framework captures uncertainty in medical images - TechTarget
    Apr 11 · MIT News
    New AI method captures uncertainty in medical images - MIT News
    New AI method captures uncertainty in medical images - MIT News
    Adrian Dalca
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    Location

    Cambridge, Massachusetts, United States