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Field of view normalization in multi-site brain MRI

Publication: Journal Article

Ou, Yangming, Lilla Zöllei, Xiao Da, Kallirroi Retzepi, Shawn Murphy, Elizabeth Gerstner, Bruce Rosen, Ellen Grant, Jayashree Kalpathy-Cramer, and Randy Gollub. 2018. “Field of View Normalization in Multi-Site Brain MRI”. Neuroinformatics 16 (3-4): 431–444.

Deformable MRI-ultrasound registration via attribute matching and mutual-saliency weighting for image-guided neurosurgery

Publication: Conference Proceedings

Machado, Inês, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, et al. 2018. “Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery”. Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation. Springer, Cham.

An Automated Probabilistic Tractography Tool with Anatomical Priors for Use in the Newborn Brain

Publication: Journal Article

Zöllei, Lilla, Isabelle Filipiak, Elie Saliba, Laurent Barantin, Christophe Destrieux, Hugo Dupuis, Maria Cottier, et al. 2011. “An Automated Probabilistic Tractography Tool With Anatomical Priors for Use in the Newborn Brain.”

FreeSurfer image processing pipeline for infant clinical MRI images

Publication: Conference Paper

Zollei, Yangming Ou, Juan Iglesias, Ellen Grant, and Bruce Fischl. 2017. “FreeSurfer Image Processing Pipeline for Infant Clinical MRI Images”. In Proceedings of the Organization for Human Brain Mapping Conference. Vol. 1703.

Multi-Scale Feature Fusion Convolutional Neural Network for Concurrent Segmentation of Left Ventricle and Myocardium in Cardiac MR Images

Publication: Journal Article

Qi, Lin, Haoran Zhang, Xuehao Cao, Xuyang Lyu, Lisheng Xu, Benqiang Yang, and Yangming Ou. 2020. “Multi-Scale Feature Fusion Convolutional Neural Network for Concurrent Segmentation of Left Ventricle and Myocardium in Cardiac MR Images”. Journal of Medical Imaging and Health Informatics 10 (5): 1023–1032.

Functional Connectivity in Infancy and Toddlerhood Predicts Long-Term Language and Preliteracy Outcomes

Publication: Journal Article

Yu, Xi, Silvina Ferradal, Danielle Sliva, Jade Dunstan, Clarisa Carruthers, Joseph Sanfilippo, Jennifer Zuk, et al. 2021. “Functional Connectivity in Infancy and Toddlerhood Predicts Long-Term Language and Preliteracy Outcomes”. Cereb Cortex.

Lifespan Big-Data MRI

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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)

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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...

Neonatal Brain Injury

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Image Registration

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Background: Image registration is to put two or more images into the same coordinate system with anatomic correspondences. It is the basis for studying across-subject commonality or differences, for studying longitudinal image changes (e.g., disease progression or normal development), for aligning...