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Efficient and robust model-to-image alignment using 3D scale-invariant features

Medical image analysis, 2013-04, Vol.17 (3), p.271-282

2013

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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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Peak learning of mass spectrometry imaging data using artificial neural networks

Nature communications, 2021-09, Vol.12 (1), p.5544-5544, Article 5544

2021

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Electroencephalographic Resting-State Networks: Source Localization of Microstates

Brain connectivity, 2017-12, Vol.7 (10), p.671-682

2017

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Detection of Brain Metastases with Deep Learning Single-Shot Detector Algorithms

Radiology, 2020-05, Vol.295 (2), p.416-417

2020

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Automated white matter fiber tract identification in patients with brain tumors

NeuroImage clinical, 2017-01, Vol.13 (C), p.138-153

2017

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Medical Image Analysis – past, present, and future

Medical image analysis, 2016-10, Vol.33, p.4-6

Wells, William M.

2016

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Group-wise parcellation of the cortex through multi-scale spectral clustering

NeuroImage (Orlando, Fla.), 2016-08, Vol.136, p.68-83

2016

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Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

IEEE transactions on medical imaging, 2020-12, Vol.39 (12), p.3868-3878

2020

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Registration uncertainty quantification via low-dimensional characterization of geometric deformations

Magnetic resonance imaging, 2019-12, Vol.64, p.122-131

2019

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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

1, 2023

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Image registration: Maximum likelihood, minimum entropy and deep learning

Medical image analysis, 2021-04, Vol.69, p.101939-101939, Article 101939

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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Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms

Medical image analysis, 2017-10, Vol.41, p.55-62

2017

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TractoSCR: a novel supervised contrastive regression framework for prediction of neurocognitive measures using multi-site harmonized diffusion MRI tractography

Frontiers in neuroscience, 2024-06, Vol.18, p.1411797

2024

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Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound

International journal for computer assisted radiology and surgery, 2020-07, Vol.15 (7), p.1215-1223

2020

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Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020-10, p.735-744

2020

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Effective scattering coefficient of the cerebral spinal fluid in adult head models for diffuse optical imaging

Applied Optics, 2006-07, Vol.45 (19), p.4747

2006

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Bayesian characterization of uncertainty in intra-subject non-rigid registration

Medical image analysis, 2013-07, Vol.17 (5), p.538-555

2013

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ReMIND: The Brain Resection Multimodal Imaging Database

Scientific data, 2024-05, Vol.11 (1), p.494-494, Article 494

2024

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Statistical validation of image segmentation quality based on a spatial overlap index

Academic radiology, 2004-02, Vol.11 (2), p.178-189

2004

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Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI

NeuroImage (Orlando, Fla.), 2006-09, Vol.32 (3), p.1205-1215

2006

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Extended Broca’s Area in the Functional Connectome of Language in Adults: Combined Cortical and Subcortical Single-Subject Analysis Using fMRI and DTI Tractography

Brain topography, 2013-07, Vol.26 (3), p.428-441

2013

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Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 2018-09, Vol.11070, p.880-888

2018

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ACTIVE MEAN FIELDS FOR PROBABILISTIC IMAGE SEGMENTATION: CONNECTIONS WITH CHAN-VESE AND RUDIN-OSHER-FATEMI MODELS

SIAM journal on imaging sciences, 2017, Vol.10 (3), p.1069-1103

2017

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Efficient and robust model-to-image alignment using 3D scale-invariant features

Peak learning of mass spectrometry imaging data using artificial neural networks

Electroencephalographic Resting-State Networks: Source Localization of Microstates

Detection of Brain Metastases with Deep Learning Single-Shot Detector Algorithms

Automated white matter fiber tract identification in patients with brain tumors

Medical Image Analysis – past, present, and future

Group-wise parcellation of the cortex through multi-scale spectral clustering

Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

Registration uncertainty quantification via low-dimensional characterization of geometric deformations

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

Image registration: Maximum likelihood, minimum entropy and deep learning

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

Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms

TractoSCR: a novel supervised contrastive regression framework for prediction of neurocognitive measures using multi-site harmonized diffusion MRI tractography

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound

Deformation Aware Augmented Reality for Craniotomy Using 3D/2D Non-rigid Registration of Cortical Vessels

Effective scattering coefficient of the cerebral spinal fluid in adult head models for diffuse optical imaging

Bayesian characterization of uncertainty in intra-subject non-rigid registration

ReMIND: The Brain Resection Multimodal Imaging Database

Statistical validation of image segmentation quality based on a spatial overlap index

Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI

Extended Broca’s Area in the Functional Connectome of Language in Adults: Combined Cortical and Subcortical Single-Subject Analysis Using fMRI and DTI Tractography

Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification

ACTIVE MEAN FIELDS FOR PROBABILISTIC IMAGE SEGMENTATION: CONNECTIONS WITH CHAN-VESE AND RUDIN-OSHER-FATEMI MODELS

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