Radiology 3D Vessel Segmentation With Limited Guidance of 2D Structure-Agnostic Vessel Annotations. June 4, 2024
Machine Learning | Obstetrics | Radiology A Hybrid Model for Fetal Growth Restriction Assessment by Automatic Placental Radiomics on T2-Weighted MRI and Multifeature Fusion. April 24, 2024
Pulmonology | Radiology A Novel Approach to the Technique of Lung Region Segmentation Based on a Deep Learning Model to Diagnose COVID-19 X-ray Images. February 23, 2024
Radiology PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-guided Networks. October 24, 2023
Oncology | Pathology | Radiology Deep radiomics-based fusion model for prediction of bevacizumab treatment response and outcome in patients with colorectal cancer liver metastases: a multicentre cohort study. October 23, 2023
Computer Science | Pharmacology A compact review of progress and prospects of deep learning in drug discovery. March 28, 2023
Bioinformatics | Pharmacology Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network. March 21, 2023
Radiology MRI-based two-stage deep learning model for automatic detection and segmentation of brain metastases. January 25, 2023
Oncology | Radiology Boundary Attention U-Net for Kidney and Kidney Tumor Segmentation. October 14, 2022
Pulmonology | Radiology An Enhanced Priori Knowledge GAN for CT Images Generation of Early Lung Nodules with Small-Size Labelled Samples. June 24, 2022
Radiology COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for COVID-19 Diagnosis and Severity Assessment. December 20, 2021