Bioinformatics | Biomedical Natural Language Processing Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes. October 17, 2021
Data Science | oceanography Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy. October 13, 2021
Oncology | Radiation Therapy | Radiology Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net. September 26, 2021
Radiology CARes-UNet: Content-Aware residual UNet for lesion segmentation of COVID-19 from chest CT images. September 16, 2021
Neurology | Radiology MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation. September 11, 2021
Radiology GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays. August 31, 2021
Pathology Semi-HIC: A novel semi-supervised deep learning method for histopathological image classification. August 30, 2021
Medical Imaging | Radiology Versatile anomaly detection method for medical images with semi-supervised flow-based generative models. August 25, 2021
Ophthalmology Semi-supervised generative adversarial networks for closed-angle detection on anterior segment optical coherence tomography images: an empirical study with a small training dataset. August 23, 2021
Critical Care Medicine | Machine Learning Semi-supervised deep learning from time series clinical data for acute respiratory distress syndrome prediction: model development and validation study. August 16, 2021
Oncology | Radiology A semi-supervised autoencoder framework for joint generation and classification of breathing. August 15, 2021
Radiology RCTE: A Reliable and Consistent Temporal-ensembling Framework for Semi-supervised Segmentation of COVID-19 Lesions. July 26, 2021