Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
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(FIVE YEARS 47)

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Published By Springer International Publishing

9783030117221, 9783030117238

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Voxel-Wise Comparison with a-contrario Analysis for Automated Segmentation of Multiple Sclerosis Lesions from Multimodal MRI

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_18 ◽

2019 ◽

pp. 180-188

Author(s):

Francesca Galassi ◽

Olivier Commowick ◽

Emmanuel Vallee ◽

Christian Barillot

Keyword(s):

Multiple Sclerosis ◽

Automated Segmentation ◽

Multimodal Mri

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Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_10 ◽

2019 ◽

pp. 105-114

Author(s):

Xu Han ◽

Spyridon Bakas ◽

Roland Kwitt ◽

Stephen Aylward ◽

Hamed Akbari ◽

...

Keyword(s):

Brain Tumor ◽

Patient Specific ◽

Mri Scans ◽

Tumor Mri

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Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_16 ◽

2019 ◽

pp. 161-169 ◽

Cited By ~ 30

Author(s):

Christoph Baur ◽

Benedikt Wiestler ◽

Shadi Albarqouni ◽

Nassir Navab

Keyword(s):

Mr Images ◽

Brain Mr Images

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Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_45 ◽

2019 ◽

pp. 447-455 ◽

Cited By ~ 1

Author(s):

Andreas Hess ◽

Raphael Meier ◽

Johannes Kaesmacher ◽

Simon Jung ◽

Fabien Scalzo ◽

...

Keyword(s):

Deep Learning ◽

Dsc Mri ◽

Perfusion Maps ◽

Perfusion Deficits

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Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_47 ◽

2019 ◽

pp. 464-471

Author(s):

Lorenza Brusini ◽

Ilaria Boscolo Galazzo ◽

Mauro Zucchelli ◽

Cristina Granziera ◽

Gloria Menegaz

Keyword(s):

Diffusion Mri ◽

Microstructural Changes

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Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_12 ◽

2019 ◽

pp. 123-131 ◽

Cited By ~ 1

Author(s):

Abdol Aziz Ould Ismail ◽

Drew Parker ◽

Moises Hernandez-Fernandez ◽

Steven Brem ◽

Simon Alexander ◽

...

Keyword(s):

Free Water ◽

Water Elimination ◽

Peritumoral Tissue

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An Update on Machine Learning in Neuro-Oncology Diagnostics

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_4 ◽

2019 ◽

pp. 37-44 ◽

Cited By ~ 1

Author(s):

Thomas C. Booth

Keyword(s):

Machine Learning

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Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_20 ◽

2019 ◽

pp. 199-207 ◽

Cited By ~ 1

Author(s):

Hongwei Li ◽

Jianguo Zhang ◽

Mark Muehlau ◽

Jan Kirschke ◽

Bjoern Menze

Keyword(s):

White Matter ◽

White Matter Hyperintensities ◽

Multi Scale

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Integrated Extractor, Generator and Segmentor for Ischemic Stroke Lesion Segmentation

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_31 ◽

2019 ◽

pp. 310-318 ◽

Cited By ~ 2

Author(s):

Tao Song ◽

Ning Huang

Keyword(s):

Ischemic Stroke ◽

Lesion Segmentation ◽

Stroke Lesion

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3D Texture Feature Learning for Noninvasive Estimation of Gliomas Pathological Subtype

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science ◽

10.1007/978-3-030-11723-8_22 ◽

2019 ◽

pp. 218-227

Author(s):

Guoqing Wu ◽

Yuanyuan Wang ◽

Jinhua Yu

Keyword(s):

Texture Feature ◽

Feature Learning ◽

3D Texture ◽

Noninvasive Estimation ◽

Pathological Subtype

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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Voxel-Wise Comparison with a-contrario Analysis for Automated Segmentation of Multiple Sclerosis Lesions from Multimodal MRI

Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans

Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning

Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM?

Characterizing Peritumoral Tissue Using DTI-Based Free Water Elimination

An Update on Machine Learning in Neuro-Oncology Diagnostics

Multi-scale Convolutional-Stack Aggregation for Robust White Matter Hyperintensities Segmentation

Integrated Extractor, Generator and Segmentor for Ischemic Stroke Lesion Segmentation

3D Texture Feature Learning for Noninvasive Estimation of Gliomas Pathological Subtype

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
Latest Publications