Radiology Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio. March 8, 2024
Deep Learning | Medical Imaging | Radiology A Critical Assessment of Generative Models for Synthetic Data Augmentation on Limited Pneumonia X-ray Data. December 23, 2023
Radiology Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging. November 21, 2023
Pulmonology | Radiology Augmentation strategies for an imbalanced learning problem on a novel COVID-19 severity dataset. October 25, 2023
Cardiology | Radiology On-site CT-derived cFFR in patients with suspected coronary artery disease: Feasibility on a 128-row CT scanner in everyday clinical practice. October 11, 2023
Radiology Leveraging human expert image annotations to improve pneumonia differentiation through human knowledge distillation. June 6, 2023
Cardiology | Radiology Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective. March 6, 2023
Radiology Unsupervised domain adaptation for the detection of cardiomegaly in cross-domain chest X-ray images. February 27, 2023
Radiology Imaging of the Osteoporotic Spine – Quantitative Approaches in Diagnostics and for the Prediction of the Individual Fracture Risk. May 11, 2022
Oncology | Radiology Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma. April 23, 2022
Orthopedics | Radiology A Deep Learning Model for the Accurate and Reliable Classification of Disc Degeneration Based on MRI Data. July 22, 2020