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A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

NeuroImage (Orlando, Fla.), 2021-01, Vol.225, p.117471-117471, Article 117471

2021

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis: 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

1, 2021

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1st Edition 2022, 2022

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Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases

NeuroImage (Orlando, Fla.), 2016-11, Vol.141, p.542-555

2016

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Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

IEEE transactions on medical imaging, 2019-08, Vol.38 (8), p.1875-1884

2019

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A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology

NeuroImage (Orlando, Fla.), 2018-12, Vol.183, p.314-326

2018

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PSACNN: Pulse sequence adaptive fast whole brain segmentation

NeuroImage (Orlando, Fla.), 2019-10, Vol.199, p.553-569

2019

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A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

NeuroImage (Orlando, Fla.), 2015-07, Vol.115, p.117-137

2015

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Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling

NeuroImage (Orlando, Fla.), 2020-10, Vol.219, p.117044-117044, Article 117044

2020

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A patch-based pseudo-CT approach for MRI-only radiotherapy in the pelvis

Medical physics (Lancaster), 2016-08, Vol.43 (8), p.4742-4752

2016

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

1st Edition 2020, 2020

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Patch‐based generation of a pseudo CT from conventional MRI sequences for MRI‐only radiotherapy of the brain

Medical physics (Lancaster), 2015-04, Vol.42 (4), p.1596-1605

2015

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MR‐based CT metal artifact reduction for head‐and‐neck photon, electron, and proton radiotherapy

Medical physics (Lancaster), 2019-10, Vol.46 (10), p.4314-4323

2019

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A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation- With Application to Tumor and Stroke

IEEE transactions on medical imaging, 2016-04, Vol.35 (4), p.933-946

2016

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Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images

Scientific reports, 2022-11, Vol.12 (1), p.19744-19744, Article 19744

2022

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Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI

Hippocampus, 2009-06, Vol.19 (6), p.549-557

2009

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Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry

Medical image analysis, 2013-10, Vol.17 (7), p.766-778

2013

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A unified framework for cross-modality multi-atlas segmentation of brain MRI

Medical image analysis, 2013-12, Vol.17 (8), p.1181-1191

2013

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Assessing individual variability of the entorhinal subfields in health and disease

Journal of comparative neurology (1911), 2023-12, Vol.531 (18), p.2062-2079

2023

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Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas

NeuroImage (Orlando, Fla.), 2023-07, Vol.274, p.120129-120129, Article 120129

2023

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Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG

NeuroImage (Orlando, Fla.), 2021-08, Vol.237, p.118113-118113, Article 118113

2021

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Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2

NeuroImage clinical, 2018-01, Vol.17, p.1006-1018

2018

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A future of AI-driven personalized care for people with multiple sclerosis

Frontiers in immunology, 2024-08, Vol.15, p.1446748

2024

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JNCL patients show marked brain volume alterations on longitudinal MRI in adolescence

Journal of neurology, 2008-08, Vol.255 (8), p.1226-1230

2008

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A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases

Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology

Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology

PSACNN: Pulse sequence adaptive fast whole brain segmentation

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling

A patch-based pseudo-CT approach for MRI-only radiotherapy in the pelvis

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis: Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

Patch‐based generation of a pseudo CT from conventional MRI sequences for MRI‐only radiotherapy of the brain

MR‐based CT metal artifact reduction for head‐and‐neck photon, electron, and proton radiotherapy

A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation- With Application to Tumor and Stroke

Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images

Automated segmentation of hippocampal subfields from ultra-high resolution in vivo MRI

Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry

A unified framework for cross-modality multi-atlas segmentation of brain MRI

Assessing individual variability of the entorhinal subfields in health and disease

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas

Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG

Systematic comparison of different techniques to measure hippocampal subfield volumes in ADNI2

A future of AI-driven personalized care for people with multiple sclerosis

JNCL patients show marked brain volume alterations on longitudinal MRI in adolescence

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