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

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783319555232, 9783319555249

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures

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

10.1007/978-3-319-55524-9_15 ◽

2016 ◽

pp. 150-161 ◽

Cited By ~ 5

Author(s):

Adrià Casamitjana ◽

Santi Puch ◽

Asier Aduriz ◽

Verónica Vilaplana

Keyword(s):

Neural Networks ◽

Brain Tumor ◽

Convolutional Neural Networks ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

Download Full-text

Brain Tumor Segmentation with Optimized Random Forest

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

10.1007/978-3-319-55524-9_9 ◽

2016 ◽

pp. 88-99 ◽

Cited By ~ 15

Author(s):

László Lefkovits ◽

Szidónia Lefkovits ◽

László Szilágyi

Keyword(s):

Brain Tumor ◽

Random Forest ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

Download Full-text

Lifted Auto-Context Forests for Brain Tumour Segmentation

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

10.1007/978-3-319-55524-9_17 ◽

2016 ◽

pp. 171-183 ◽

Cited By ~ 5

Author(s):

Loic Le Folgoc ◽

Aditya V. Nori ◽

Siddharth Ancha ◽

Antonio Criminisi

Keyword(s):

Brain Tumour ◽

Tumour Segmentation ◽

Brain Tumour Segmentation

Download Full-text

Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods

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

10.1007/978-3-319-55524-9_25 ◽

2016 ◽

pp. 271-281

Author(s):

R. Bellotti ◽

A. Lombardi ◽

C. Guaragnella ◽

N. Amoroso ◽

A. Tateo ◽

...

Keyword(s):

Traumatic Brain Injury ◽

Brain Injury ◽

Mild Traumatic Brain Injury ◽

Outcome Prediction

Download Full-text

An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma

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

10.1007/978-3-319-55524-9_5 ◽

2016 ◽

pp. 43-51 ◽

Cited By ~ 1

Author(s):

Javier Juan-Albarracín ◽

Elies Fuster-Garcia ◽

Juan M. García-Gómez

Keyword(s):

Online Platform

Download Full-text

Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation

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

10.1007/978-3-319-55524-9_12 ◽

2016 ◽

pp. 119-128 ◽

Cited By ~ 10

Author(s):

Richard McKinley ◽

Rik Wepfer ◽

Tom Gundersen ◽

Franca Wagner ◽

Andrew Chan ◽

...

Keyword(s):

Image Segmentation ◽

Biomedical Image

Download Full-text

Topological Measures of Connectomics for Low Grades Glioma

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

10.1007/978-3-319-55524-9_3 ◽

2016 ◽

pp. 23-31

Author(s):

Benjamin Amoah ◽

Alessandro Crimi

Keyword(s):

Topological Measures

Download Full-text

A Fast Approach to Automatic Detection of Brain Lesions

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

10.1007/978-3-319-55524-9_6 ◽

2016 ◽

pp. 52-61 ◽

Cited By ~ 1

Author(s):

Subhranil Koley ◽

Chandan Chakraborty ◽

Caterina Mainero ◽

Bruce Fischl ◽

Iman Aganj

Keyword(s):

Automatic Detection ◽

Brain Lesions ◽

Fast Approach

Download Full-text

Predicting Stroke Lesion and Clinical Outcome with Random Forests

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

10.1007/978-3-319-55524-9_21 ◽

2016 ◽

pp. 219-230 ◽

Cited By ~ 4

Author(s):

Oskar Maier ◽

Heinz Handels

Keyword(s):

Clinical Outcome ◽

Random Forests ◽

Stroke Lesion

Download Full-text

Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries

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

10.1007/978-3-319-55524-9_20 ◽

2016 ◽

pp. 206-216 ◽

Cited By ~ 1

Author(s):

Edgar A. Rios Piedra ◽

Benjamin M. Ellingson ◽

Ricky K. Taira ◽

Suzie El-Saden ◽

Alex A. T. Bui ◽

...

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

Download Full-text

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures

Brain Tumor Segmentation with Optimized Random Forest

Lifted Auto-Context Forests for Brain Tumour Segmentation

Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods

An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma

Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation

Topological Measures of Connectomics for Low Grades Glioma

A Fast Approach to Automatic Detection of Brain Lesions

Predicting Stroke Lesion and Clinical Outcome with Random Forests

Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries

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