Patrick McClure

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

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons

A survey on deep learning in medical image analysis

Brain tumor segmentation with Deep Neural Networks

Artificial intelligence in radiology

Within-subject template estimation for unbiased longitudinal image analysis

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future

Convolutional networks for kidney segmentation in contrast-enhanced CT scans

Hydrogen production for energy: An overview

An overview of the concept and technology of ubiquitous energy

Representing inferential uncertainty in deep neural networks through sampling

NASA's Kilopower reactor development and the path to higher power missions

3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function

Recurrent Convolutional Neural Networks: A Better Model of Biological Object Recognition

Precise Segmentation of 3-D Magnetic Resonance Angiography

A Novel Approach for Global Lung Registration Using 3D Markov-Gibbs Appearance Model