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We use 2D CNN and performe multiple predictions from multi-slices in multi-view volume images for fetal brain age estimation. Mean absolute difference between the brain age and actual chronological age is less than 2 days, which is highly accurate.

Our research focuses on implementing innovative techniques in the assessment and treatment of pain, mental health and substance use conditions in children and adolescents, including evaluating the progression of these conditions and the benefits of interventions (e.g., medications, invasive...

In parallel studies, we've examined the efficacy, safety, moderators and mediators of specific medications routinely used in treating pediatric pain patients and their common psychiatric comorbidities, as well as pharmacological interventions used to treat specific pain disorders in children and...

As members of the Quantitative Intelligent Medical Imaging (QUIN) Research Group at the Computational Radiology Lab at Boston Children’s Hospital, we aim to develop cutting edge, intelligent medical imaging techniques and machine learning methods to improve our understanding of developing human...

Functional imaging with dynamic contrast-enhanced MRI (DCE-MRI) provides physiological markers of permeability, perfusion and glomerular filtration rate (GFR), a measure of kidney function. One of the most important applications of DCE-MRI is to assess GFR in pediatric hydronephrosis patients with...

The Division of Nutrition (DON) is committed to providing nutrition education to Harvard Medical School students throughout all four year of medical school through embedding nutrition in the pre-clinical "Pathways" curriculum and offering electives in nutrition. In addition to a strong commitment to...

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We developed active learning and semi-supervised learning techniques for reducing the labeling cost when training a deep neural network based segmentation or classification algorithm.