A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients-Reference-Cited by-同舟云学术

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A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients

Published:2021-03 Issue: Volume:115 Page:103694
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Ebrahimi Zade Amir,Shahabi Haghighi Seyedhamidreza,Soltani M.

Funder

European Organisation for Research and Treatment of Cancer

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference107 articles.

1. Virtual glioblastoma: growth, migration and treatment in a three-dimensional mathematical model;Eikenberry;Cell Prolif.,2009

2. Phase II trial of 7 days on/7 days off temozolmide for recurrent high-grade glioma;Han;Neuro-Oncol.,2014

3. Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial;Stupp;Lancet Oncol.,2009

4. Multimodality imaging and mathematical modelling of drug delivery to glioblastomas;Boujelben;Interf. focus,2016

5. Toward Patient-Specific, Biologically Optimized Radiation Therapy Plans for the Treatment of Glioblastoma;Corwin;PLoS ONE,2013

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1. An integrative non-invasive malignant brain tumors classification and Ki-67 labeling index prediction pipeline with radiomics approach;European Journal of Radiology;2023-01

2. Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients;Journal of Biomedical Informatics;2022-03

3. Gut Microbiota Serves a Predictable Outcome of Short-Term Low-Carbohydrate Diet (LCD) Intervention for Patients with Obesity;Microbiology Spectrum;2021-10-31

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