Ophthalmology Semantic-oriented Visual Prompt Learning for Diabetic Retinopathy Grading on Fundus Images. April 2, 2024
Radiology Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. January 12, 2024
Ophthalmology Developing a privacy-preserving deep learning model for glaucoma detection: a multicentre study with federated learning. October 19, 2023
Breast Imaging | Oncology | Radiology Deep Learning-assisted Diagnosis of Breast Lesions on US Images: A Multivendor, Multicenter Study. October 5, 2023
Medical Imaging | Radiology | Surgical Planning Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention. July 8, 2023
Oncology | Radiology Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning. July 6, 2023
Ophthalmology Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images. November 20, 2022
Radiology Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study. October 9, 2022
Cardiology | Radiology Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references. April 3, 2022
AI in Medicine | Public Health | Radiology Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. March 30, 2021
Ophthalmology | Radiology Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification. March 7, 2021