The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading

Experimental Texture Analysis in Glioblastoma

(2017) Nicolin Hainc et al.   INVESTIGATIVE RADIOLOGY

The Application of Neuroimaging to Healthy and Diseased Brains: Present and Future

(2017) Jan Kassubek   Frontiers in Neurology

The Human Connectome Project's neuroimaging approach

(2016) Matthew F Glasser et al.   NATURE NEUROSCIENCE

Predicting the Future — Big Data, Machine Learning, and Clinical Medicine

(2016) Ziad Obermeyer et al.   NEW ENGLAND JOURNAL OF MEDICINE

The Swiss Multiple Sclerosis Cohort-Study (SMSC): A Prospective Swiss Wide Investigation of Key Phases in Disease Evolution and New Treatment Options

(2016) Giulio Disanto et al.   PLoS One

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

(2016) Kun-Hsing Yu et al.   Nature Communications

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

(2016) Jinhua Wang et al.   Scientific Reports

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

(2015) Robert J. McDonald et al.   ACADEMIC RADIOLOGY

The big data challenges of connectomics

(2014) Jeff W Lichtman et al.   NATURE NEUROSCIENCE

Using Mobile Phones for Activity Recognition in Parkinson’s Patients

(2012) Mark V. Albert et al.   Frontiers in Neurology

Theory of sampling and its application in tissue based diagnosis

(2009) Klaus Kayser et al.   Diagnostic Pathology

Computer aids and human second reading as interventions in screening mammography: Two systematic reviews to compare effects on cancer detection and recall rate

(2008) Paul Taylor et al.   EUROPEAN JOURNAL OF CANCER