- 2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans
- A CT-based radiomics nomogram for differentiation of renal angiomyolipoma without visible fat from homogeneous clear cell renal cell carcinoma.
- A Qualitative Study to Understand Patient Perspective on the Use of Artificial Intelligence in Radiology.
- A Radiologist's Guide to the Changing Treatment Paradigm of Advanced Non-Small Cell Lung Cancer: The ASCO 2018 Molecular Testing Guidelines and Targeted Therapies.
- Abdominal artery segmentation method from CT volumes using fully convolutional neural network.
- Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
- Acute Headache in the Emergency Setting.
- Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.
- Assessment of Deep Natural Language Processing in Ascertaining Oncologic Outcomes From Radiology Reports.
- Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment.
- Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA.
- Black-blood cinematic rendering: A new method for cardiac CT intraluminal visualization.
- Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung Cancer.
- Bowel Penetration by Inferior Vena Cava Filters: Feasibility and Safety of Percutaneous Retrieval.
- Cancer Risk in Subsolid Nodules in the National Lung Screening Trial.
- Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis.
- Cinematic Rendering With Positive Oral Contrast: Virtual Fluoroscopy.
- Cinematic rendering: When virtuality comes true.
- Clinical Decision Support: Opportunity or Armageddon?
- Clinical Usefulness of Endoscopy, Barium Fluoroscopy, and Chest Computed Tomography for the Correct Diagnosis of Achalasia.
- Coming Together: A Review of the American Association for the Surgery of Trauma's Updated Kidney Injury Scale to Facilitate Multidisciplinary Management.
- Communicating 3D data-interactive 3D PDF documents for expert reports and scientific publications in the field of forensic medicine.
- Comparing Arterial- and Venous-Phase Acquisition for Optimization of Virtual Noncontrast Images From Dual-Energy Computed Tomography Angiography.
- Contrast Enhancement Boost Technique at Aortic Computed Tomography Angiography: Added Value for the Evaluation of Type II Endoleaks After Endovascular Aortic Aneurysm Repair.
- CT for Treatment Selection in Acute Ischemic Stroke: A Code Stroke Primer.
- CT of the Neck: Image Analysis and Reporting in the Emergency Setting.
- Deep learning-enabled system for rapid pneumothorax screening on chest CT.
- Dental Emergencies: A Practical Guide.
- Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.
- Diagnosis Please Certificates of Recognition Awarded to Three Individuals and to International and North American Radiology Resident Groups.
- Differentiation of Gastric Schwannoma From Gastric Gastrointestinal Stromal Tumor With Dual-Phase Contrast-Enhanced Computed Tomography.
- Discrepancy in Practices Related to the Use of Oral Contrast in Abdominal CT Scan.
- Emergency Radiology: Current Challenges and Preparing for Continued Growth.
- Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.
- FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
- Harnessing 2D Networks and 3D Features for Automated Pancreas Segmentation from Volumetric CT Images
- Hemodynamically Significant Coronary Stenosis: Detection with CT Myocardial Perfusion Imaging versus Machine Learning Coronary CT Fractional Flow Reserve.
- Hiding in the Hedges: Tips to Minimize Your Malpractice Risks as a Radiologist.
- How We Do It: Operationalizing Just Culture in a Radiology Department.
- Identification of Axillary Lymph Node Metastasis in Patients With Breast Cancer Using Dual-Phase FDG PET/CT.
- Imaging findings of infectious and inflammatory diseases of the urinary system mimicking neoplastic diseases.
- Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography.
- Incorporating Cone-Beam CT Into the Diagnostic Algorithm for Suspected Radiocarpal Fractures: A New Standard of Care?
- Ischemic Infarction in Young Adults: A Review for Radiologists.
- Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer.
- Neuroimaging of Emergent and Reemergent Infections.
- No Mission, No Engagement.
- Nomenclature of Subchondral Nonneoplastic Bone Lesions.
- Pancreatic cancer screening - is it prime time yet?
- Patient Perceptions of CT Imaging in a Diverse Patient Sample.
- Pes Anserinus: Anatomy and Pathology of Native and Harvested Tendons.
- Postoperative Spinal CT: What the Radiologist Needs to Know.
- Potential Liability for Physicians Using Artificial Intelligence.
- Preoperative CT Classification of the Resectability of Pancreatic Cancer: Interobserver Agreement.
- Radiation Dose for Multiregion CT Protocols: Challenges and Limitations.
- Radiological Advances in Pancreatic Islet Transplantation.
- Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.
- Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
- Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT.
- Should Radiology Delay the Start of Fellowships? A Survey of the APDR.
- Simple Adnexal Cysts: SRU Consensus Conference Update on Follow-up and Reporting.
- Simulated Lumbar Dual-Energy X-Ray Absorptiometry With Machine Learning Algorithms: Why Radiologists Who Interpret Abdominal CTs Should Care.
- Solid Pseudopapillary Neoplasms of the Pancreas: Clinicopathologic and Radiologic Features According to Size.
- Technologist Productivity and Accuracy in Assigning Protocols for Abdominal CT and MRI Examinations at an Academic Medical Center: Implications for Physician Workload.
- The challenge of imaging congenital heart disease in neonates: How to minimize radiation exposure with advanced CT technology.
- The impact of artificial intelligence in medicine on the future role of the physician.
- The Value of Reputation: Understanding the Current Marketing Ecosystem for Content Producers.
- Traumatic Brain Injury: Imaging Patterns and Complications.
- Traumatic Neck and Skull Base Injuries.
- Traumatic pancreatitis.
- Trends and Focus of Machine Learning Applications for Health Research.
- Tumour cell-derived debris and IgG synergistically promote metastasis of pancreatic cancer by inducing inflammation via tumour-associated macrophages.
- Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems.
- Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue.
- Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
- What should medical students know about artificial intelligence in medicine?
- White Paper: Corporatization in Radiology.
- Winning With AI: Pioneers Combine Strategy, Organizational Behavior, and Technology
Everything you need to know about Computed Tomography (CT) & CT Scanning