Medical Imaging | Pulmonology | Radiology Human-in-the-Loop-A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. September 14, 2024
Neurology | Radiology Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence. September 14, 2024
Medical Imaging | Oncology | Radiology Advancing Prostate Cancer Diagnosis: A Deep Learning Approach for Enhanced Detection in MRI Images. September 14, 2024
Radiology Diagnostic Performance of a Deep Learning-Powered Application for Aortic Dissection Triage Prioritization and Classification. September 14, 2024
Orthopedics | Radiology Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study. September 14, 2024
Dentistry | Radiology A Semi-Supervised Transformer-Based Deep Learning Framework for Automated Tooth Segmentation and Identification on Panoramic Radiographs. September 14, 2024
Pulmonology | Radiology Modeling Realistic Geometries in Human Intrathoracic Airways. September 14, 2024
Interventional Radiology | Radiology Enhancing Cone-Beam CT Image Quality in TIPSS Procedures Using AI Denoising. September 14, 2024
Oncology | Radiology | Urology The Role of Radiomics in the Prediction of Clinically Significant Prostate Cancer in the PI-RADS v2 and v2.1 Era: A Systematic Review. September 14, 2024
Medical Imaging | Oncology | Radiology A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging. September 14, 2024
Oncology | Radiology | Spinal Surgery Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging-A Systematic Review. September 14, 2024
Computer Science | Gastroenterology | Radiology Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study. September 14, 2024