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Baris Turkbey, M.D.
Section Head
Dr. Turkbey obtained his medical degree from Hacettepe University in Ankara, Turkey in 2003. He completed his residency in Diagnostic and Interventional Radiology at Hacettepe University. He joined Molecular Imaging Branch (MIB), National Cancer Institute, NIH in 2007. His main research areas are imaging of prostate cancer (multiparametric MRI, PET CT), image guided biopsy and treatment techniques (focal therapy, surgery, and radiation therapy) for prostate cancer and artificial intelligence. Dr. Turkbey is a member of Prostate Imaging Reporting & Data System (PI-RADS) Steering Committee. He is the Head of the Magnetic Resonance Imaging section in MIB and the Artificial Intelligence Resource in MIB.
BG 10 Room B3B85 240-760-6112 turkbeyi@mail.nih.gov
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G. Thomas Brown, M.D., Ph.D.
Staff Clinician
G. Thomas Brown, MD, PhD received his PhD in Cell Biology and MD from Case Western Reserve University in 2013 received training in Anatomic Pathology in the NCI Laboratory of Pathology. He completed a Clinical Informatics Research Fellowship at the National Library of Medicine. He joined the Leidos Biomedical ABCS/IVG as a bioinformatics analyst in 2019 before transitioning to Assistant Research Physician with NCI in 2020. His areas of interest involve computer vision and deep-learning algorithm development to assist physicians with diagnosing and treating cancers with greater accuracy and efficacy. List of publications:
BG 10 Room B3B85 301-846-1847 301-263-4048 gtom.brown@nih.gov
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Nathan Lay, Ph.D.
Staff Scientist
Dr. Lay received his PhD in Computational Science from Florida State University in 2013 where he developed a novel machine learning aggregation framework based on ideas from prediction markets. He spent three years in industry research where he developed methods for segmentation and landmark localization in medical image analysis problems. As a result of his work in the industry, he is a co-inventor of several patents. After three years of industry research, he joined the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory at the National Institutes of Health as a Staff Scientist where he developed novel prostate cancer detection methods. Through close collaboration with the Molecular Imaging Program, his prostate cancer detection systems have been honed and studied in three international reader studies. His research interests are in the fields of machine learning and computer vision.
BG 10 RM B3B69 240-858-7063 301-768-5257 nathan.lay@nih.gov
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Sushant Patkar, Ph.D.
Post-doc Fellow
Dr. Patkar received his PhD in Computer Science in May 2021 from the University of Maryland, College Park, under the mentorship of Dr. Eytan Ruppin. In June 2021, he started his postdoc at the Artificial Intelligence Resource, Molecular Imaging Branch, NCI, where he began developing advanced deep learning-based algorithms to automatically extract and quantify prognostic features from gigapixel-sized digital pathology images of cancer patients. He has a strong background in computer science, machine learning, and with expertise in the development of computational deconvolution methods that can analyze bulk DNA and RNA Sequencing data to characterize the tumor microenvironment and predict responses to immune checkpoint blockade therapies. His current research focuses on the development of Artificial Intelligence (AI) approaches for spatial analysis of the tumor microenvironment to identify novel biomarkers predictive of response to immune checkpoint blockade therapies. (Google scholar profile: https://scholar.google.com/citations?user=AsIX1JAAAAAJ&hl=en )
BG 10 RM B3B69 240-858-3172 patkar.sushant@nih.gov
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Fahmida Haque, Ph.D.
Postdoc Fellow
Dr. Fahmida Haque works as a postdoctoral fellow at Artificial Intelligence Resource, Molecular Imaging Branch, National Cancer Institute, USA. She has obtained her doctoral degree in Electrical, Electronic and System Engineering, from National University of Malaysia, Malaysia in 2022. She completed her undergraduate program in electrical and electronic engineering from American International University-Bangladesh in 2016. Her main research areas are machine learning for biomedical application, carcer detection from radiological and pathological images, and artificial intelligent based diagnosis systems, computational neuroscience.
BG 10 RM B3B69 240-620-0811 fahmida.haque@nih.gov
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Kutsev Ozyoruk, Ph.D.
Postdoc Fellow
Dr. Kutsev B. Ozyoruk received her BSc in mathematics from Bosphorus University in 2014, followed by an MSc. After two years of industry experience as a data scientist at AVL Research and Engineering company, she completed her PhD in biomedical engineering in 2021 at Bosphorus University, where she researched deep learning approaches for localizing capsule endoscopes. She pursued postdoctoral research in computational pathology at Harvard Medical School upon completion of her PhD before joining Dr. Baris Turkbey’s group within the Molecular Imaging Branch, National Cancer Institute in 2023. Throughout her research journey, she developed a novel generative artificial intelligence approach for frozen section diagnostic quality improvement, a novel depth estimation method from monocular video, and decision tree-based motion estimation method which is validated in real life traffic scenarios. Dr. Ozyoruk’s current research focus, as a postdoctoral researcher, revolves around developing AI-assisted diagnostic tools for radiology, computational pathology, and endoscopy.
BG 10 RM B3B69 240-858-7063 kutsev.ozyoruk@nih.gov
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Alex Chen, BS, MS
PostBac Fellow
Alex Chen joined the Molecular Imaging Branch as an NIH postbaccalaureate fellow after completing his Bachelor of Arts in Biochemistry and Master of Science in Chemistry at the University of Pennsylvania in 2023. His primary research interests currently revolve around the segmentation of prostate cancer and thymoma. Specifically, his work involves investigating the potential integration of radiology reports to enhance existing AI algorithms for detecting prostate cancer. In addition, he is exploring the use of AI to decipher spatial patterns within the tumor immune microenvironment. Alex is actively pursuing a dual MD/PhD degree, with a vision of becoming a physician-scientist in the future. In his free time, he enjoys playing computer games, playing squash, and taking his dog on hikes through the local trails.
BG 10 RM B3B69 301-858-3332 alex.chen3@nih.gov
Affiliated Researchers
Sophia Ty, BS
Benjamin Simon, BS
Zhijun Chen, Ph.D.
Harry Zhang, Ph.D.
Omer Tarik Esengur, M.D.
David Gelikman, BA
Enis C. Yilmaz, M.D.
Stephanie A. Harmon, Ph.D.
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Steering Committee
Section Head
Senior Clinician
National Cancer Institute, National Institutes of Health
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Steering Committee Members
Director, Molecular Imaging Program
National Cancer Institute, National Institutes of Health
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National Library of Medicine, National Institutes of Health
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Center for Research in Computer Vision, University of Central Florida
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National Cancer Institute, National Institutes of Health
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National Cancer Institute, National Institutes of Health
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