Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science
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(FIVE YEARS 9)

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(FIVE YEARS 1)

Published By Springer International Publishing

9783030401238, 9783030401245

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_7 ◽

2020 ◽

pp. 61-69

Author(s):

Saima Rathore ◽

Ahmad Chaddad ◽

Nadeem Haider Bukhari ◽

Tamim Niazi

Keyword(s):

Machine Learning ◽

Lower Grade ◽

Lower Grade Glioma

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Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_2 ◽

2020 ◽

pp. 12-23

Author(s):

Kaustav Bera ◽

Niha Beig ◽

Pallavi Tiwari

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A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_8 ◽

2020 ◽

pp. 70-80

Author(s):

Zhenwei Shi ◽

Chong Zhang ◽

Inge Compter ◽

Maikel Verduin ◽

Ann Hoeben ◽

...

Keyword(s):

Image Analysis ◽

Feature Selection ◽

Quantitative Image Analysis ◽

Quantitative Image ◽

Feature Pooling ◽

Analysis Application ◽

Selection For

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Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro-Radiomics

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_1 ◽

2020 ◽

pp. 1-11

Author(s):

Ashish Singh ◽

Michel Bilello

Keyword(s):

Magnetic Resonance Imaging ◽

Machine Learning ◽

Magnetic Resonance ◽

Current Status ◽

Resonance Imaging

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Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_4 ◽

2020 ◽

pp. 36-43

Author(s):

Ahmad Chaddad ◽

Mingli Zhang ◽

Christian Desrosiers ◽

Tamim Niazi

Keyword(s):

Recurrent Glioblastoma ◽

Survival Outcome ◽

Mri Scans

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A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_3 ◽

2020 ◽

pp. 24-35 ◽

Cited By ~ 2

Author(s):

Syed Muhammad Anwar ◽

Tooba Altaf ◽

Khola Rafique ◽

Harish RaviPrakash ◽

Hassan Mohy-ud-Din ◽

...

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Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_9 ◽

2020 ◽

pp. 81-90 ◽

Cited By ~ 1

Author(s):

Zhiyuan Xue ◽

Bowen Xin ◽

Dingqian Wang ◽

Xiuying Wang

Keyword(s):

Neural Network ◽

Non Invasive

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cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_5 ◽

2020 ◽

pp. 44-52

Author(s):

Yining Jiao ◽

Oihane Mayo Ijurra ◽

Lichi Zhang ◽

Dinggang Shen ◽

Qian Wang

Keyword(s):

Feature Extraction

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On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science ◽

10.1007/978-3-030-40124-5_6 ◽

2020 ◽

pp. 53-60 ◽

Cited By ~ 1

Author(s):

Tanay Chougule ◽

Sumeet Shinde ◽

Vani Santosh ◽

Jitender Saini ◽

Madhura Ingalhalikar

Keyword(s):

High Grade ◽

Multimodal Mri ◽

High Grade Gliomas

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Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma

Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology

A Feature-Pooling and Signature-Pooling Method for Feature Selection for Quantitative Image Analysis: Application to a Radiomics Model for Survival in Glioma

Current Status of the Use of Machine Learning and Magnetic Resonance Imaging in the Field of Neuro-Radiomics

Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma

A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology

Radiomics-Enhanced Multi-task Neural Network for Non-invasive Glioma Subtyping and Segmentation

cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit

On Validating Multimodal MRI Based Stratification of IDH Genotype in High Grade Gliomas Using CNNs and Its Comparison to Radiomics

Radiomics and Radiogenomics in Neuro-oncology - Lecture Notes in Computer Science
Latest Publications