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Manifold Learning of Brain MRIs by Deep Learning

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 2), p.633-640

2013

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Antibodies to dynorphin a (1-17) attenuate closed head injury induced blood-brain barrier disruption, brain edema formation and brain pathology in the rat

Acta neurochirurgica. Supplement, 2010, Vol.106, p.301

2010

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Review and Challenges of Brain Analysis through DTI Measurements

Studies in health technology and informatics, 2014, Vol.207, p.27

2014

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Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 2012, Vol.15 (Pt 2), p.651-658

2012

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Micro-blood-brain barrier openings and cytotoxic fragments of amyloid precursor protein accumulation in white matter after ischemic brain injury in long-lived rats

Acta neurochirurgica. Supplement, 2006, Vol.96, p.267-271

2006

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Case records of the Massachusetts General Hospital. Case 12-2015. A newborn boy with respiratory distress, lethargy, and hypernatremia

The New England journal of medicine, 2015, Vol.372 (16), p.1550-1562

2015

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Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.635-642

2011

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Case records of the Massachusetts General Hospital. Case 21-2013. A 68-year-old man with metastatic melanoma

The New England journal of medicine, 2013, Vol.369 (2), p.173-183

2013

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A Deep Learning Framework for Skull Stripping in Brain MRI

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4

2023

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Patterning Networks of Grade IV Glioblastoma on Silicon Chip

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4

2023

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A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 1), p.25-32

2014

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Pathophysiology of brainstem lesions due to overdrainage

Acta neurochirurgica. Supplement, 2012, Vol.113, p.177

2012

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Bayesian Model Selection for Pathological Data

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 1), p.323-330

2014

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Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008, 2008, Vol.11 (Pt 1), p.409-416

2008

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Case records of the Massachusetts General Hospital. Case 17-2012. A 54-year-old man with visual-field loss and a mass in the brain

The New England journal of medicine, 2012, Vol.366 (22), p.2112-2120

2012

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Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 2), p.328-335

2013

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MRI texture analysis in paediatric oncology: a preliminary study

Studies in health technology and informatics, 2013, Vol.190, p.169

2013

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3D Slicer as a tool for interactive brain tumor segmentation

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.6982-6984

2011

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The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging: Application to Signal Detection Tasks

Information Processing in Medical Imaging, 2011, Vol.22, p.760-771

2011

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A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease

Studies in health technology and informatics, 2017, Vol.245, p.1249

2017

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Persistence Diagrams of Cortical Surface Data

Information Processing in Medical Imaging, p.386-397

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Deformable Atlas for Multi-structure Segmentation

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 1), p.743-750

2013

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Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 2010, Vol.13 (Pt 1), p.324-331

2010

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Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011, 2011, Vol.14 (Pt 3), p.354-361

2011

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Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 1), p.735-742

2013

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Manifold Learning of Brain MRIs by Deep Learning

Antibodies to dynorphin a (1-17) attenuate closed head injury induced blood-brain barrier disruption, brain edema formation and brain pathology in the rat

Review and Challenges of Brain Analysis through DTI Measurements

Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images

Micro-blood-brain barrier openings and cytotoxic fragments of amyloid precursor protein accumulation in white matter after ischemic brain injury in long-lived rats

Case records of the Massachusetts General Hospital. Case 12-2015. A newborn boy with respiratory distress, lethargy, and hypernatremia

Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies

Case records of the Massachusetts General Hospital. Case 21-2013. A 68-year-old man with metastatic melanoma

A Deep Learning Framework for Skull Stripping in Brain MRI

Patterning Networks of Grade IV Glioblastoma on Silicon Chip

A Fully Bayesian Inference Framework for Population Studies of the Brain Microstructure

Pathophysiology of brainstem lesions due to overdrainage

Bayesian Model Selection for Pathological Data

Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI

Case records of the Massachusetts General Hospital. Case 17-2012. A 54-year-old man with visual-field loss and a mass in the brain

Sparse Scale-Space Decomposition of Volume Changes in Deformations Fields

MRI texture analysis in paediatric oncology: a preliminary study

3D Slicer as a tool for interactive brain tumor segmentation

The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging: Application to Signal Detection Tasks

A Deep Learning Approach to Neuroanatomical Characterisation of Alzheimer's Disease

Persistence Diagrams of Cortical Surface Data

Deformable Atlas for Multi-structure Segmentation

Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging

Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization

Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding

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