This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. CME Accreditation Page - p. iii 6. Neuroimaging Clinics of North America - p. v 7. Contributors - p. vii 8. Foreword - p. xv 9. Preface - p. xvii 10. Brief History of Artificial Intelligence - p. 393 11. Knowledge Based Versus Data Based: A Historical Perspective on a Continuum of Methodologies for Medical Image Analysis - p. 401 12. Overview of Machine Learning: Part 2: Deep Learning for Medical Image Analysis - p. 417 13. Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment - p. 433 14. Review of Natural Language Processing in Radiology - p. 447 15. An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1: Hemorrhagic Stroke Imaging and Triage - p. 459 16. An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 2: Ischemic Stroke Imaging and Triage - p. 467 17. Artificial Intelligence and Stroke Imaging: A West Coast Perspective - p. 479 18. Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity - p. 493 19. Diverse Applications of Artificial Intelligence in Neuroradiology - p. 505 20. Machine Learning Applications for Head and Neck Imaging - p. 517 21. Online Only Articles, available at www.neuroimaging.theclinics.com, ScienceDirect, and ClinicalKey - p. 529 22. Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics - p. e1 23. Overview of Machine Learning Part 1: Fundamentals and Classic Approaches - p. e17
This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza Forghani. Articles will include: A Brief History of Artificial Intelligence; Evolution of Approaches for Computerized Image Analysis; Overview of Machine Learning Part 1: Classic Approaches; Overview of Machine Learning Part 2: Artificial Neural Networks & Deep Learning; Overview of Natural Language Processing; Artificial Intelligence & Stroke Imaging: An East Coast Perspective; Artificial Intelligence & Stroke Imaging: A West Coast Perspective; Artificial Intelligence Applications for Brain Tumor Imaging; Diverse Applications of Artificial Intelligence in Neuroradiology; Artificial Intelligence Applications for Head and Neck Imaging; Artificial Intelligence Applications for Predictive Analytics and Workflow Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence; Comprehensive (or 360) Artificial Intelligence: Beyond Image Interpretation Alone, and more!
1. Cover image - p. i 2. Title page - p. i 3. Table of Contents - p. i 4. Copyright - p. ii 5. CME Accreditation Page - p. iii 6. Neuroimaging Clinics of North America - p. v 7. Contributors - p. vii 8. Foreword - p. xv 9. Preface - p. xvii 10. Brief History of Artificial Intelligence - p. 393 11. Knowledge Based Versus Data Based: A Historical Perspective on a Continuum of Methodologies for Medical Image Analysis - p. 401 12. Overview of Machine Learning: Part 2: Deep Learning for Medical Image Analysis - p. 417 13. Machine Learning Algorithm Validation: From Essentials to Advanced Applications and Implications for Regulatory Certification and Deployment - p. 433 14. Review of Natural Language Processing in Radiology - p. 447 15. An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1: Hemorrhagic Stroke Imaging and Triage - p. 459 16. An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 2: Ischemic Stroke Imaging and Triage - p. 467 17. Artificial Intelligence and Stroke Imaging: A West Coast Perspective - p. 479 18. Updates on Deep Learning and Glioma: Use of Convolutional Neural Networks to Image Glioma Heterogeneity - p. 493 19. Diverse Applications of Artificial Intelligence in Neuroradiology - p. 505 20. Machine Learning Applications for Head and Neck Imaging - p. 517 21. Online Only Articles, available at www.neuroimaging.theclinics.com, ScienceDirect, and ClinicalKey - p. 529 22. Artificial Intelligence Applications for Workflow, Process Optimization and Predictive Analytics - p. e1 23. Overview of Machine Learning Part 1: Fundamentals and Classic Approaches - p. e17
