Computational Biology | Oncology | Pathology Mining the interpretable prognostic features from pathological image of intrahepatic cholangiocarcinoma using multi-modal deep learning. July 7, 2024
Neurology | Radiology A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study. March 22, 2024
Radiology LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using unenhanced CT images. December 18, 2023
Neurology | Psychiatry Functional brain network identification and fMRI augmentation using a VAE-GAN framework. September 5, 2023
Neurology | Psychiatry A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks. July 29, 2023
Clinical Diagnostics | Internal Medicine | Radiology A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics. June 12, 2023
Pathology | Radiology MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. June 10, 2023
Ophthalmology Predicting effectiveness of anti-VEGF injection through self-supervised learning in OCT images. March 11, 2023
Neurology | Radiology An explainable deep learning framework for characterizing and interpreting human brain states. November 12, 2022
Bioinformatics | Neurology An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. November 4, 2022
Oncology | Radiology Radiogenomic System for Non-Invasive Identification of Multiple Actionable Mutations and PD-L1 Expression in Non-Small Cell Lung Cancer Based on CT Images. October 17, 2022