Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging

Early diagnosis of Alzheimer's disease based on deep learning: A systematic review

(2022) Sina Fathi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images

(2021) Ramin Ranjbarzadeh et al.   Scientific Reports

Brain tumor segmentation and grading of lower-grade glioma using deep learning in MRI images

(2020) Mohamed A. Naser et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A Review on a Deep Learning Perspective in Brain Cancer Classification

(2019) Gopal S. Tandel et al.   Cancers

Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages

(2019) Dong Nie et al.   Scientific Reports

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

(2019) Philipp Kickingereder et al.   LANCET ONCOLOGY

A review on brain tumor segmentation of MRI images

(2019) Anjali Wadhwa et al.   MAGNETIC RESONANCE IMAGING

Brain Tumor Segmentation and Classification from Magnetic Resonance Images: Review of selected methods from 2014 to 2019

(2019) Arti Tiwari et al.   PATTERN RECOGNITION LETTERS

Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas

(2019) W. Han et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Epidemiology of Brain Tumors

(2018) Jill S. Barnholtz-Sloan et al.   NEUROLOGIC CLINICS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

(2017) Jiangwei Lao et al.   Scientific Reports