Toward understanding deep learning classification of anatomic sites: lessons from the development of a CBCT projection classifier

Problems in the deployment of machine-learned models in health care

(2021) Joseph Paul Cohen et al.   CANADIAN MEDICAL ASSOCIATION JOURNAL

Evaluation of the setup discrepancy between 6D ExacTrac and cone beam computed tomography in spine stereotactic body radiation therapy

(2021) Jaehyeon Park et al.   PLoS One

Interpretation and visualization techniques for deep learning models in medical imaging

(2020) Daniel T Huff et al.   PHYSICS IN MEDICINE AND BIOLOGY

Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning

(2019) Paul H. Yi et al.   PEDIATRIC RADIOLOGY

Clinical implementation of AI technologies will require interpretable AI models

(2019) Xun Jia et al.   MEDICAL PHYSICS

Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography

(2018) Kayla Mendel et al.   ACADEMIC RADIOLOGY

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

(2018) Kenneth A. Philbrick et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Deep learning in medical imaging and radiation therapy

(2018) Berkman Sahiner et al.   MEDICAL PHYSICS

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

(2018) John R. Zech et al.   PLOS MEDICINE

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

6D image guidance for spinal non-invasive stereotactic body radiation therapy: Comparison between ExacTrac X-ray 6D with kilo-voltage cone-beam CT

(2010) Zheng Chang et al.   RADIOTHERAPY AND ONCOLOGY

The European Society of Therapeutic Radiology and Oncology–European Institute of Radiotherapy (ESTRO–EIR) report on 3D CT-based in-room image guidance systems: A practical and technical review and guide

(2010) Stine Korreman et al.   RADIOTHERAPY AND ONCOLOGY