Endocrinology | Radiology | Surgery A Deep Learning Methodology for the Detection of Abnormal Parathyroid Glands via Scintigraphy with Tc-Sestamibi. September 24, 2022
Neurology Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality Detection. September 8, 2022
Computer Science | Gastroenterology RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy. August 29, 2022
Engineering | Requirements Engineering | Systems Engineering A Comprehensive “Real-World Constraints”-Aware Requirements Engineering Related Assessment and a Critical State-of-the-Art Review of the Monitoring of Humans in Bed. August 26, 2022
Dentistry | Radiology Tufts Dental Database: A Multimodal Panoramic X-ray Dataset for Benchmarking Diagnostic Systems. October 4, 2021
Oncology | Radiology A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis. May 14, 2021
Orthopedics | Radiology A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs. April 28, 2021
Medical Informatics | Radiology RTEX: A novel framework for ranking, tagging, and explanatory diagnostic captioning of radiography exams. April 21, 2021
Radiology Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. February 16, 2021
Radiology Reproducibility of abnormality detection on chest radiographs using convolutional neural network in paired radiographs obtained within a short-term interval. October 16, 2020
Gastroenterology | Medical Imaging | Oncology Learning spatiotemporal features for esophageal abnormality detection from endoscopic videos. August 5, 2020
Radiology Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles. March 26, 2020