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Abnormality Detection

Background: Deep learning has been widely used to detect lesions in brain MRIs. However, a major challenge is the systematic low accuracy of deep learning in detecting small diffuse lesions, where the Dice overlap between expert- and computer-detected lesion regions is typically 0.3-0.7, compared to...

Interns/Co-ops (2021)

6-Month Interns/Co-ops in Machine Learning and Image Analysis (BS, MS, PhD, Postdoc levels), 2021-2022 Only 1 out of the 4 positions is open, with the starting date by the end o 2021 or early 2022. Open Positions: Four full-time research intern/co-op positions are open at the Image, Informatics, and...

Postdoc Opening (2020)

Research Fellow in Medical Image Analysis and Machine Learning This position has been filled. Thanks for your interest. Departments of Pediatrics and Radiology at Boston Children’s Hospital and Harvard Medical School invite applicants for the open positions at the postdoctoral research fellow and...

Postdoc Opening I (2021)

Research Fellow in Medical Image Analysis and Deep Learning This position has been filled. Thanks for your interest. Open position: The Department of Radiology at Boston Children’s Hospital and Harvard Medical School invite applicants for a full-time position at the postdoctoral research fellow...

Lifespan Big-Data MRI

Background: Big data is reshaping many aspects of healthcare. Brain MRI studies with over 1000 participants are often considered releative big sample size. Recent Nature, Science, PNAS and other studies used 10,000 or more publicly-shared brain MRIs, or 20,000-50,000 brain MRIs if combining public...

Data Engineer Job (2021)

Open position: We seek an experienced research engineer for brain MRI analysis to join our lab at Boston Children’s Hospital and Harvard Medical School. Title will be compitable with experience, at Data Engineer I, II, III or Computational Biologist. Candidate qualifications: Master’s degree in...

Brain Atlases

Background. A brain MRI atlases is a virtual brain image that is computed/constructed to represent the average anatomy and the average image intensity of all individuals in a cohort. Atlases are fundamental tools in computational neuroscience -- they are targets for image registration, guidlines for...

Image Segmentation

Background Field of View Normalization Skull Stripping (Brain Extraction) Structure Segmentation