Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Lecture Notes in Computer Science
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9783319752372, 9783319752389

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Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation

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

10.1007/978-3-319-75238-9_33 ◽

2018 ◽

pp. 381-391 ◽

Cited By ~ 5

Author(s):

Adrià Casamitjana ◽

Marcel Catà ◽

Irina Sánchez ◽

Marc Combalia ◽

Verónica Vilaplana

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network

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

10.1007/978-3-319-75238-9_27 ◽

2018 ◽

pp. 309-319 ◽

Cited By ~ 3

Author(s):

Mazhar Shaikh ◽

Ganesh Anand ◽

Gagan Acharya ◽

Abhijit Amrutkar ◽

Varghese Alex ◽

...

Keyword(s):

Neural Network ◽

Brain Tumor ◽

Convolutional Neural Network ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection

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

10.1007/978-3-319-75238-9_5 ◽

2018 ◽

pp. 55-63

Author(s):

Nima Masoumi ◽

Yiming Xiao ◽

Hassan Rivaz

Keyword(s):

Brain Tumor ◽

Tumor Resection ◽

Brain Shift ◽

Correlation Ratio ◽

Ultrasound Guided ◽

Affine Registration ◽

Brain Tumor Resection

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Brain Tumor Segmentation Using a Multi-path CNN Based Method

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

10.1007/978-3-319-75238-9_35 ◽

2018 ◽

pp. 403-422 ◽

Cited By ~ 3

Author(s):

Sara Sedlar

Keyword(s):

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation

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Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation

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

10.1007/978-3-319-75238-9_15 ◽

2018 ◽

pp. 169-177 ◽

Cited By ~ 3

Author(s):

Richard McKinley ◽

Alain Jungo ◽

Roland Wiest ◽

Mauricio Reyes

Keyword(s):

Brain Tumor ◽

Semantic Segmentation ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Convolutional Networks ◽

Fully Convolutional Networks

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Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

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

10.1007/978-3-319-75238-9_12 ◽

2018 ◽

pp. 133-145 ◽

Cited By ~ 8

Author(s):

Saima Rathore ◽

Spyridon Bakas ◽

Sarthak Pati ◽

Hamed Akbari ◽

Ratheesh Kalarot ◽

...

Keyword(s):

Quantitative Analysis ◽

Brain Cancer ◽

Cancer Imaging

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MRI Augmentation via Elastic Registration for Brain Lesions Segmentation

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

10.1007/978-3-319-75238-9_32 ◽

2018 ◽

pp. 369-380 ◽

Cited By ~ 2

Author(s):

Egor Krivov ◽

Maxim Pisov ◽

Mikhail Belyaev

Keyword(s):

Brain Lesions ◽

Elastic Registration

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Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

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

10.1007/978-3-319-75238-9_6 ◽

2018 ◽

pp. 64-76 ◽

Cited By ~ 25

Author(s):

Lucas Fidon ◽

Wenqi Li ◽

Luis C. Garcia-Peraza-Herrera ◽

Jinendra Ekanayake ◽

Neil Kitchen ◽

...

Keyword(s):

Convolutional Networks ◽

Class Segmentation

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Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries

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

10.1007/978-3-319-75238-9_9 ◽

2018 ◽

pp. 100-110

Author(s):

Matt Higger ◽

Martha Shenton ◽

Sylvain Bouix

Keyword(s):

Outlier Detection ◽

Brain Injuries ◽

Traumatic Brain Injuries

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Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction

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

10.1007/978-3-319-75238-9_39 ◽

2018 ◽

pp. 463-473 ◽

Cited By ~ 3

Author(s):

H. N. Bharath ◽

S. Colleman ◽

D. M. Sima ◽

S. Van Huffel

Keyword(s):

Feature Extraction ◽

Random Forest ◽

Tumor Segmentation ◽

Multimodal Mri

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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

Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation

Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network

MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection

Brain Tumor Segmentation Using a Multi-path CNN Based Method

Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation

Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma

MRI Augmentation via Elastic Registration for Brain Lesions Segmentation

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries

Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction

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