Search

Background: Pre-symptomatic Screening: Natural History: Outcome Prediction References:

Postdoctoral Research Fellow in Brain MRI Analysis and Computational Neuroscience 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 level. Topic: The funded project...

Onboard instructions Access to E2 cluster, submit computational jobs

Background: Machine learning can predict an individual's "brain age" from the brain MRI. Differences of ML-predicted and actual chronological ages show the accelearated or delayed aging, and can be associated with diseases, lifestyle, socioeconomics, genetic, and other environment influences...

1. Background 2. Abnormality Detection (Lesion Segmentation) 3. Neural Substrate 4. Outcome Prediction 5. References 1. Background. Neonatal brain injury caused by hypoxic ischemic encephalopathy (HIE) affects 1-5/1000 term-born infants. Therapeutic hypothermia (TH) reduces mortality/morbidity by...

Background Unique Clinical-trial Data Radiotherapy and Brain MRI Brain MRI and Neurocognitive Deficit Aging in Tumor Survivors References

Job Opening: Research Fellow in Machine Learning and Image Analysis (2018) This position has been filled. Thanks for your interest. One full-time postdoctoral research fellow position is open at the Fetal-Neonatal Neuroimaging Data Science Center (FNNDSC) at Boston Children’s Hospital (BCH) and...

Background (Precision Nutrition for Early Life) Unique Clinical-trial Data Maternal Diet and Infant Brain Maternal Diet and Maternal MPOD Maternal Diet, Breastmilk and Infant Neurocognition Infant Brain MRI and Early-School-Age Neurocognition References

Cemre Ariyurek, Onur Afacan, Jeanne Chow, Simon Warfield, and Sila KurugolBoston Children's Hospital and Harvard Medical School, Boston, Massachusetts Estimating glomerular filtration rate (GFR) is crucial for diagnostic purposes. DCE-MRI iscapable of measuring tracer kinetic parameters of kidney...

Serge Didenko Vasylechko, Simon K. Warfield, Sila Kurugol, Onur Afacan Computational Radiology Laboratory Boston Children’s Hospital and Harvard Medical School Deep learning methods have the potential to improve quantitative MRI methods. However, performance of deep learning methods is highly...