Medical Imaging | Radiology UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation. September 22, 2023
Neurology | Radiology TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. August 2, 2023
Medical Imaging | Radiology One-shot Weakly-Supervised Segmentation in 3D Medical Images. July 13, 2023
Radiation Oncology | Radiology Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy. May 27, 2023
Radiology PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. February 11, 2023
Oncology | Radiology Deep learning-based accurate delineation of primary gross tumor volume of nasopharyngeal carcinoma on heterogeneous magnetic resonance imaging: a large-scale and multi-center study. January 19, 2023
Clinical Chemistry | Immunology | Pathology Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning. December 22, 2022
Oncology | Radiology WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. October 12, 2022
Radiology Learning COVID-19 Pneumonia Lesion Segmentation from Imperfect Annotations via Divergence-Aware Selective Training. May 6, 2022
Pulmonology | Radiology A Denoising Self-supervised Approach for COVID-19 Pneumonia Lesion Segmentation with Limited Annotated CT Images. December 11, 2021
Neurosurgery | Radiology Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm. October 29, 2021