Radiology HEAL: High-Frequency Enhanced and Attention-Guided Learning Network for Sparse-View CT Reconstruction. July 27, 2024
Cardiology | Neurology | Ophthalmology Deep learning based characterization of human organoids using optical coherence tomography. June 10, 2024
Radiology A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow. November 13, 2023
Bioinformatics | Computational Biology | Microbiology Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network. October 4, 2023
Radiology MARGANVAC: metal artifact reduction method based on generative adversarial network with variable constraints. September 11, 2023
Emergency Medicine | Pulmonology | Radiology Pulmonary contusion: automated deep learning-based quantitative visualization. June 15, 2023
Gastroenterology | Radiology Self-supervised learning for gastritis detection with gastric X-ray images. April 11, 2023
Radiology Computed tomography-based COVID-19 triage through a deep neural network using mask-weighted global average pooling. March 20, 2023
Artificial Intelligence | Electronics | Manufacturing A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection. February 25, 2023
Oncology | Radiology Deep learning-based automatic segmentation for size and volumetric measurement of breast cancer on magnetic resonance imaging. August 29, 2022
Emergency Medicine | Radiology | Trauma Surgery A pilot study of deep learning-based CT volumetry for traumatic hemothorax. August 15, 2022