An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow

The Orthanc Ecosystem for Medical Imaging

(2018) Sébastien Jodogne   JOURNAL OF DIGITAL IMAGING

Current Applications and Future Impact of Machine Learning in Radiology

(2018) Garry Choy et al.   RADIOLOGY

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

(2018) Milena A. Gianfrancesco et al.   JAMA Internal Medicine

High-performance medicine: the convergence of human and artificial intelligence

(2018) Eric J. Topol   NATURE MEDICINE

Migrating to the Modern PACS: Challenges and Opportunities

(2018) Seth J. Berkowitz et al.   RADIOGRAPHICS

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

(2018) Yiming Ding et al.   RADIOLOGY

Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography.

(2017) Sebastian Bickelhaupt et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

(2016) Michiel Kallenberg et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Segmentation of joint and musculoskeletal tissue in the study of arthritis

(2016) Valentina Pedoia et al.   MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study

(2016) Daniel F Polan et al.   PHYSICS IN MEDICINE AND BIOLOGY

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

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