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Postdoctoral Research Fellow- Machine Vision/Image Analysis

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Boston, United States Massachusetts General Hospital Full time

Postdoctoral Research Fellow- Machine Vision/Image Analysis-(3278959) Description Postdoctoral Research Fellowships (OCT Image Processing and Machine Learning) Employer Description Guillermo (Gary) J. Tearney, , Tearney Lab – Wellman Center for Photomedicine Massachusetts General Hospital The Tearney Lab is an 80+ person multidisciplinary lab led by Guillermo (Gary) Tearney, MD, PhD. The goal of the Tearney Lab is to see every cell in the human body so that disease can be detected at its earliest stages when it can be cured. To this end, the lab has pioneered multiple optical coherence tomography (OCT) devices that enable 3D imaging at the microscopic scale in living human patients. These technologies include multimodality OCT where OCT is combined with spectroscopy, fluorescence, and other optical techniques, ultrahigh-resolution OCT (µOCT) where the resolution is sufficiently detailed to visualize individual cells, and functional OCT that measures the function and metabolism of cells in living systems. These technologies are implemented in a variety of devices (endoscopes, catheters, capsules, implantable) that provide accessible imaging anywhere inside the body. The lab has major programs to overcome clinical diagnostic challenges in celiac disease, food allergy disorders, malnutrition, coronary artery disease, hearing loss, GI cancer, and cystic fibrosis, among others. Novel technologies are created using device development processes and tested and validated in over 15 ongoing single- and multi-center clinical studies. To enable this broad translational research, the Tearney Lab is outfitted with: • Robust engineering, quality, and clinical regulatory teams • State of the art optical laboratories • Two class 10,000 clean rooms • Multiple rapid prototyping facilities • Nanoscribe optical printing • Machine learning core Job Description The role will: Focus on advancing state-of-the-art in automated cancer detection via medical image analysis to solve challenging problems in processing, evaluating, and interpreting clinical and pre-clinical data Develop a set of semi-automated and automated image processing and analysis applications, including segmentation, classification, registration, feature extraction and pattern detection. The specific aim of the fellowship can be tailored to meet individual goals, which will provide an opportunity to build clinical, research, and publication experience. Working closely with the technology development teams and clinical collaborators Implement analysis technologies in one or more of the following organ systems: heart, lungs, brain, ears, esophagus, colon Guide research questions, design studies, and monitor the execution of those studies Hold regular technical meetings. Publish in world-leading high impact journals Deliver milestones on time Representative recent publications from our group include: 1. Dong, J., C. Grant, B. Vuong, N. Nishioka, , M. Beatty, G. Baldwin, A. Baillargeon, A. Bablouzian, P. Grahmann, N. Bhat, E. Ryan, A. Barrios, S. Giddings, T. Ford, E. Beaulieu-Ouellet, , I. Lerman, W. Trasischker, R. Reddy, K. Singh, M. Gora, D. Hyun, L. Queneherve, M. Wallace, H. Wolfsen, P. Sharma, , , J. Poneros, , C. Lightdale, S. Leeds, M. Rosenberg, and , Feasibility and Safety of Tethered Capsule Endomicroscopy in Patients With Barrett's Esophagus in a Multi-Center Study. Clin Gastroenterol Hepatol, 2022. 20(4): p. 756-765 e3. 2. Wartak, A., , , , , , Y. Wei, K. Bollavaram, , E. Farewell, S. VanTol, R. Smith, P. Grahmann, , , and , Dual-modality optical coherence tomography and fluorescence tethered capsule endomicroscopy. Biomed Opt Express, 2021. 12(7): p. 4308-4323. 3. Osborn, , , , Z. Piao, E. Gerbaud, M. Albaghdadi, H. Khraishah, , , J. Cui, A. Mauskapf, C. Shen, , , A. Tawakol, *, and *, Intravascular Molecular-Structural Assessment of Arterial Inflammation in Preclinical Atherosclerosis Progression. JACC Cardiovasc Imaging, 2021. 14(11): p. 2265-2267. 4. Yin, B., Z. Piao, K. Nishimiya, C. Hyun, , A. Mauskapf, , and , 3D cellular-resolution imaging in arteries using few-mode interferometry. Light Sci Appl, 2019. 8: p. 104. 5. Leung, , , C. Hyun, , D. Cui, , , , , , H. Zheng, , , , , , , and , Intranasal micro-optical coherence tomography imaging for cystic fibrosis studies. Sci Transl Med, 2019. 11(504). A Postdoctoral research fellowship in optical coherence tomography (OCT) machine learning classification is available in the Tearney Lab () at the Massachusetts General Hospital (MGH) in the Wellman Center for Photomedicine. This appointment will be made at the rank of postdoctoral fellow at Harvard Medical School. MGH’s role as a leading teaching affiliate of Harvard Medical School and close ties to Harvard University and MIT provide an outstanding environment for developing and translating new medical imaging technologies with applications in basic and clinical research. Primary Location :MA-Boston-MGH Main Campus Work Locations :MGH Main Campus55 Fruit StreetBoston02114 Job :MD/PHD/Fellows/ PostDocs Organization :Massachusetts General Hospital(MGH) Schedule :Full-timeStandard Hours:40 Shift :Day Job Employee Status :RegularRecruiting Department:MGH Wellman Center for Photomedicine Job Posting :Feb 22, 2024