Jonathan Bates

Predicting cancer outcomes from histology and genomics using convolutional networks

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images

Text Data Augmentation for Deep Learning

Deep learning for risk prediction in patients with nasopharyngeal carcinoma using multi-parametric MRIs

Deep neural network models for computational histopathology: A survey

Big data and machine learning algorithms for health-care delivery

Deep learning in histopathology: the path to the clinic

Clinical Text Data in Machine Learning: Systematic Review

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

A deep learning risk prediction model for overall survival in patients with gastric cancer: A multicenter study

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

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Classification of radiology reports for falls in an HIV study cohort