Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning

Diagnostic Values of DCE-MRI and DSC-MRI for Differentiation Between High-grade and Low-grade Gliomas

(2018) Jianye Liang et al.   ACADEMIC RADIOLOGY

Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis

(2018) Peng-Jen Chen et al.   GASTROENTEROLOGY

Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid–enhanced Hepatobiliary Phase MR Images

(2018) Koichiro Yasaka et al.   RADIOLOGY

Histogram analysis of diffusion kurtosis imaging derived maps may distinguish between low and high grade gliomas before surgery

(2017) Xi-Xun Qi et al.   EUROPEAN RADIOLOGY

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

(2017) Babak Ehteshami Bejnordi et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status

(2017) Panagiotis Korfiatis et al.   JOURNAL OF DIGITAL IMAGING

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

Quantitative analysis of permeability for glioma grading using dynamic contrast‑enhanced magnetic resonance imaging

(2017) Ming Zhao et al.   Oncology Letters

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features

(2017) Xin Zhang et al.   Oncotarget

Combination of IVIM-DWI and 3D-ASL for differentiating true progression from pseudoprogression of Glioblastoma multiforme after concurrent chemoradiotherapy: study protocol of a prospective diagnostic trial

(2017) Zhi-Cheng Liu et al.   BMC MEDICAL IMAGING

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning

(2017) Xinggang Wang et al.   Scientific Reports

Prognosis prediction of non-enhancing T2 high signal intensity lesions in glioblastoma patients after standard treatment: application of dynamic contrast-enhanced MR imaging

(2016) Rihyeon Kim et al.   EUROPEAN RADIOLOGY

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Transductive domain adaptive learning for epileptic electroencephalogram recognition

(2014) Changjian Yang et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Resting state fMRI feature-based cerebral glioma grading by support vector machine

(2014) Jiangfen Wu et al.   International Journal of Computer Assisted Radiology and Surgery

Direct measurement of the signal intensity of diffusion-weighted magnetic resonance imaging for preoperative grading and treatment guidance for brain gliomas

(2012) Chih-Chun Wu et al.   Journal of the Chinese Medical Association

SVM-based glioma grading: Optimization by feature reduction analysis

(2012) Frank G. Zöllner et al.   Zeitschrift fur Medizinische Physik

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING