Radiology Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba. September 10, 2024
Pulmonology | Radiology Probing perfection: The relentless art of meddling for pulmonary airway segmentation from HRCT via a human-AI collaboration based active learning method. July 24, 2024
Medical Imaging | Oncology | Radiology Large-Kernel Attention for 3D Medical Image Segmentation. July 8, 2024
Neurocritical Care | Neurology Real-Time Non-Invasive Imaging and Detection of Spreading Depolarizations through EEG: An Ultra-Light Explainable Deep Learning Approach. February 27, 2024
Neurology | Radiology Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation. September 19, 2023
Medical Imaging | Pulmonology | Radiology Multi-site, Multi-domain Airway Tree Modeling. September 16, 2023
Pulmonology | Radiology Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. May 19, 2023
Pathology | Radiology Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation. December 6, 2022
Radiology Lesion synthesis to improve intracranial hemorrhage detection and classification for CT images. May 13, 2021
Medical Imaging | Radiology The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. October 13, 2020
Nephrology | Pathology Identification of glomerular lesions and intrinsic glomerular cells types in kidney diseases via deep learning. June 16, 2020