Ben Shofty

A survey of MRI-based medical image analysis for brain tumor studies

GLISTR: Glioma Image Segmentation and Registration

Brain tumor segmentation with Deep Neural Networks

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

A review of medical image data augmentation techniques for deep learning applications

Artificial intelligence in cancer imaging: Clinical challenges and applications

Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification

A survey of MRI-based brain tumor segmentation methods

Dual-force convolutional neural networks for accurate brain tumor segmentation

Image Analysis for MRI Based Brain Tumor Detection and Feature Extraction Using Biologically Inspired BWT and SVM

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

MRI radiomics analysis of molecular alterations in low-grade gliomas

Automatic segmentation, internal classification, and follow-up of optic pathway gliomas in MRI

Semiautomatic segmentation and follow-up of multicomponent low-grade tumors in longitudinal brain MRI studies