Survival time prediction of patients with glioblastoma multiforme tumors using spatial distance measurement

Mapping Intimacies ◽

10.1117/12.2007699 ◽

2013 ◽

Cited By ~ 8

Author(s):

Mu Zhou ◽

Lawrence O. Hall ◽

Dmitry B. Goldgof ◽

Robert J. Gillies ◽

Robert A. Gatenby

Keyword(s):

Glioblastoma Multiforme ◽

Survival Time ◽

Distance Measurement ◽

Spatial Distance ◽

Time Prediction

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Post-Hoc Overall Survival Time Prediction From Brain MRI

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) ◽

10.1109/isbi48211.2021.9433877 ◽

2021 ◽

Author(s):

Renato Hermoza ◽

Gabriel Maicas ◽

Jacinto C. Nascimento ◽

Gustavo Carneiro

Keyword(s):

Overall Survival ◽

Survival Time ◽

Brain Mri ◽

Time Prediction ◽

Overall Survival Time ◽

Post Hoc

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Exploring Brain Tumor Heterogeneity for Survival Time Prediction

2014 22nd International Conference on Pattern Recognition ◽

10.1109/icpr.2014.110 ◽

2014 ◽

Cited By ~ 2

Author(s):

Mu Zhou ◽

Lawrence O. Hall ◽

Dmitry B. Goldgof

Keyword(s):

Brain Tumor ◽

Survival Time ◽

Tumor Heterogeneity ◽

Time Prediction

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Evaluation of Dipolar Neural Networks in Survival Time Prediction

Neural Networks and Soft Computing ◽

10.1007/978-3-7908-1902-1_32 ◽

2003 ◽

pp. 230-235

Author(s):

Małgorzata Krętowska ◽

Leon Bobrowski

Keyword(s):

Neural Networks ◽

Survival Time ◽

Time Prediction

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An Automatic Overall Survival Time Prediction System for Glioma Brain Tumor Patients Based on Volumetric and Shape Features

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

10.1007/978-3-030-72087-2_31 ◽

2021 ◽

pp. 352-365

Author(s):

Lina Chato ◽

Pushkin Kachroo ◽

Shahram Latifi

Keyword(s):

Overall Survival ◽

Brain Tumor ◽

Survival Time ◽

Prediction System ◽

Shape Features ◽

Tumor Patients ◽

Time Prediction ◽

Overall Survival Time

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Development of a prognostic model for survival time prediction in castration-resistant prostate cancer patients

Urologic Oncology Seminars and Original Investigations ◽

10.1016/j.urolonc.2019.11.005 ◽

2020 ◽

Vol 38 (6) ◽

pp. 600.e9-600.e15

Author(s):

Judith Stangl-Kremser ◽

Andrea Mari ◽

Rodrigo Suarez-Ibarrola ◽

David D'Andrea ◽

Stephan M. Korn ◽

...

Keyword(s):

Prostate Cancer ◽

Survival Time ◽

Cancer Patients ◽

Prognostic Model ◽

Castration Resistant Prostate Cancer ◽

Time Prediction ◽

Castration Resistant

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PO-0809: MRS Choline/NAA enhancement is a predictor of post-RT disease-free survival time in glioblastoma multiforme

Radiotherapy and Oncology ◽

10.1016/s0167-8140(15)40801-1 ◽

2015 ◽

Vol 115 ◽

pp. S406

Author(s):

B. Rowland ◽

A. Laruelo ◽

A.P. Lin ◽

S. Ken

Keyword(s):

Glioblastoma Multiforme ◽

Survival Time ◽

Disease Free Survival ◽

Free Survival ◽

Disease Free

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Ensemble learning of Multi-View CNN models for survival time prediction of brain tumor patients using multi-modal MRI scans

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-2002-175 ◽

2021 ◽

Keyword(s):

Brain Tumor ◽

Survival Time ◽

Ensemble Learning ◽

Tumor Patients ◽

Time Prediction ◽

Mri Scans

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Machine‐learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time

Journal of Cellular and Molecular Medicine ◽

10.1111/jcmm.14328 ◽

2019 ◽

Vol 23 (6) ◽

pp. 4375-4385 ◽

Cited By ~ 7

Author(s):

Xin Liao ◽

Bo Cai ◽

Bin Tian ◽

Yilin Luo ◽

Wen Song ◽

...

Keyword(s):

Machine Learning ◽

Glioblastoma Multiforme ◽

Survival Time ◽

Mri Features

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Identification of Rules for Brain Metastases and Survival Time Prediction for Small Cell Lung Cancer Patients

Advances in Intelligent and Soft Computing - Intelligent Information Systems 2001 ◽

10.1007/978-3-7908-1813-0_1 ◽

2001 ◽

pp. 1-12

Author(s):

Kwei Aryeetey ◽

Wojciech Ziarko ◽

Patricia Tai ◽

Casely Ago

Keyword(s):

Lung Cancer ◽

Brain Metastases ◽

Small Cell Lung Cancer ◽

Survival Time ◽

Cancer Patients ◽

Cell Lung Cancer ◽

Small Cell ◽

Small Cell Lung ◽

Lung Cancer Patients ◽

Time Prediction

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Survival Time Prediction Model of Esophageal Cancer Based on Hierarchical Clustering and Random Neural Network

Communications in Computer and Information Science - Bio-inspired Computing: Theories and Applications ◽

10.1007/978-981-15-3415-7_42 ◽

2020 ◽

pp. 509-517

Author(s):

Huifang Guo ◽

Enhao Liang ◽

Chun Huang

Keyword(s):

Neural Network ◽

Esophageal Cancer ◽

Prediction Model ◽

Survival Time ◽

Hierarchical Clustering ◽

Time Prediction ◽

Random Neural Network

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