Harry Pratt

State-of-the-art in artificial neural network applications: A survey

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

Leveraging uncertainty information from deep neural networks for disease detection

Automated detection of COVID-19 cases using deep neural networks with X-ray images

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

Fundus Image Classification Using VGG-19 Architecture with PCA and SVD

Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach

Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine

Deep Learning Applications in Medical Image Analysis

A Survey of Deep Active Learning

A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection

Analysis of Dimensionality Reduction Techniques on Big Data

Dense Fully Convolutional Segmentation of the Optic Disc and Cup in Colour Fundus for Glaucoma Diagnosis

Convolutional Neural Networks for Diabetic Retinopathy