1. Machine Learning: Discovering the Future of Medical Imaging

   • Bradley J. Erickson

   Editorial 26 June 2017 Pages: 391 - 391

2. Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session

   • Marc D. Kohli
   • Ronald M. Summers
   • J. Raymond Geis

   OriginalPaper Open access 17 May 2017 Pages: 392 - 399

   

3. Toolkits and Libraries for Deep Learning

   • Bradley J. Erickson
   • Panagiotis Korfiatis
   • Kenneth Philbrick

   ReviewPaper Open access 17 March 2017 Pages: 400 - 405

   

4. Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data

   • Daniel Forsberg
   • Erik Sjöblom
   • Jeffrey L. Sunshine

   OriginalPaper 12 January 2017 Pages: 406 - 412

   

5. Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages

   • Eiichiro Okumura
   • Ikuo Kawashita
   • Takayuki Ishida

   OriginalPaper 20 January 2017 Pages: 413 - 426

   

6. Fully Automated Deep Learning System for Bone Age Assessment

   • Hyunkwang Lee
   • Shahein Tajmir
   • Synho Do

   OriginalPaper Open access 08 March 2017 Pages: 427 - 441

   

7. Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys

   • Timothy L. Kline
   • Panagiotis Korfiatis
   • Bradley J. Erickson

   OriginalPaper Open access 26 May 2017 Pages: 442 - 448

   

8. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

   • Zeynettin Akkus
   • Alfiia Galimzianova
   • Bradley J. Erickson

   ReviewPaper Open access 02 June 2017 Pages: 449 - 459

   

9. Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities

   • Paras Lakhani

   OriginalPaper Open access 09 June 2017 Pages: 460 - 468

   

10. Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

    • Zeynettin Akkus
    • Issa Ali
    • Bradley J. Erickson

    OriginalPaper Open access 09 June 2017 Pages: 469 - 476

    

11. Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

    • Jianning Chi
    • Ekta Walia
    • Mark Eramian

    OriginalPaper Open access 10 July 2017 Pages: 477 - 486

    

12. Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis

    • Hyunkwang Lee
    • Fabian M. Troschel
    • Synho Do

    OriginalPaper Open access 26 June 2017 Pages: 487 - 498

    

13. Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement

    • Philip Teare
    • Michael Fishman
    • Eldad Elnekave

    OriginalPaper 27 June 2017 Pages: 499 - 505

    

14. Computerized Prediction of Radiological Observations Based on Quantitative Feature Analysis: Initial Experience in Liver Lesions

    • Imon Banerjee
    • Christopher F. Beaulieu
    • Daniel L. Rubin

    OriginalPaper Open access 21 June 2017 Pages: 506 - 518

    

15. A Semi-automated Approach to Improve the Efficiency of Medical Imaging Segmentation for Haptic Rendering

    • Pat Banerjee
    • Mengqi Hu
    • Srinivasan Krishnaswamy

    BriefCommunication 14 June 2017 Pages: 519 - 527