Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
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9783319308579, 9783319308586

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ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images

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

10.1007/978-3-319-30858-6_21 ◽

2016 ◽

pp. 246-253 ◽

Cited By ~ 2

Author(s):

Tom Haeck ◽

Frederik Maes ◽

Paul Suetens

Keyword(s):

Ischemic Stroke ◽

Mr Images ◽

Model Based

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GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

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

10.1007/978-3-319-30858-6_13 ◽

2016 ◽

pp. 144-155 ◽

Cited By ~ 14

Author(s):

Spyridon Bakas ◽

Ke Zeng ◽

Aristeidis Sotiras ◽

Saima Rathore ◽

Hamed Akbari ◽

...

Keyword(s):

Tumor Growth ◽

Growth Modeling ◽

Gradient Boosting ◽

Mri Segmentation ◽

Multimodal Mri ◽

Tumor Growth Modeling

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ISLES (SISS) Challenge 2015: Segmentation of Stroke Lesions Using Spatial Normalization, Random Forest Classification and Contextual Clustering

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

10.1007/978-3-319-30858-6_18 ◽

2016 ◽

pp. 211-221 ◽

Cited By ~ 3

Author(s):

Hanna-Leena Halme ◽

Antti Korvenoja ◽

Eero Salli

Keyword(s):

Random Forest ◽

Spatial Normalization ◽

Random Forest Classification ◽

Forest Classification

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Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors

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

10.1007/978-3-319-30858-6_14 ◽

2016 ◽

pp. 156-167 ◽

Cited By ~ 3

Author(s):

Raphael Meier ◽

Venetia Karamitsou ◽

Simon Habegger ◽

Roland Wiest ◽

Mauricio Reyes

Keyword(s):

Brain Tumors ◽

Parameter Learning ◽

Tissue Segmentation

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Image Features for Brain Lesion Segmentation Using Random Forests

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

10.1007/978-3-319-30858-6_11 ◽

2016 ◽

pp. 119-130 ◽

Cited By ~ 5

Author(s):

Oskar Maier ◽

Matthias Wilms ◽

Heinz Handels

Keyword(s):

Random Forests ◽

Brain Lesion ◽

Image Features ◽

Lesion Segmentation

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Combining Unsupervised and Supervised Methods for Lesion Segmentation

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

10.1007/978-3-319-30858-6_5 ◽

2016 ◽

pp. 45-56 ◽

Cited By ~ 3

Author(s):

Tim Jerman ◽

Alfiia Galimzianova ◽

Franjo Pernuš ◽

Boštjan Likar ◽

Žiga Špiclin

Keyword(s):

Lesion Segmentation ◽

Supervised Methods

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A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation

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

10.1007/978-3-319-30858-6_22 ◽

2016 ◽

pp. 254-265 ◽

Cited By ~ 2

Author(s):

David Robben ◽

Daan Christiaens ◽

Janaki Raman Rangarajan ◽

Jaap Gelderblom ◽

Philip Joris ◽

...

Keyword(s):

Ischemic Stroke ◽

Lesion Segmentation ◽

Classification Approach ◽

Stroke Lesion

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A Semi-automatic Method for Segmentation of Multiple Sclerosis Lesions on Dual-Echo Magnetic Resonance Images

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

10.1007/978-3-319-30858-6_8 ◽

2016 ◽

pp. 80-90 ◽

Cited By ~ 1

Author(s):

Loredana Storelli ◽

Elisabetta Pagani ◽

Maria Assunta Rocca ◽

Mark A. Horsfield ◽

Massimo Filippi

Keyword(s):

Multiple Sclerosis ◽

Magnetic Resonance ◽

Magnetic Resonance Images ◽

Automatic Method ◽

Dual Echo

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Brain Lesions, Introduction

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

10.1007/978-3-319-30858-6_1 ◽

2016 ◽

pp. 1-5 ◽

Cited By ~ 5

Author(s):

Alessandro Crimi

Keyword(s):

Brain Lesions

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Stroke Lesion Segmentation of 3D Brain MRI Using Multiple Random Forests and 3D Registration

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

10.1007/978-3-319-30858-6_19 ◽

2016 ◽

pp. 222-232 ◽

Cited By ~ 1

Author(s):

Ching-Wei Wang ◽

Jia-Hong Lee

Keyword(s):

Random Forests ◽

Brain Mri ◽

Lesion Segmentation ◽

3D Registration ◽

Stroke Lesion

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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

ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images

GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation

ISLES (SISS) Challenge 2015: Segmentation of Stroke Lesions Using Spatial Normalization, Random Forest Classification and Contextual Clustering

Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors

Image Features for Brain Lesion Segmentation Using Random Forests

Combining Unsupervised and Supervised Methods for Lesion Segmentation

A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation

A Semi-automatic Method for Segmentation of Multiple Sclerosis Lesions on Dual-Echo Magnetic Resonance Images

Brain Lesions, Introduction

Stroke Lesion Segmentation of 3D Brain MRI Using Multiple Random Forests and 3D Registration

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