Computational Biology | Oncology MDNNSyn: A Multi-Modal Deep Learning Framework for Drug Synergy Prediction. July 2, 2024
Medical Imaging | Radiology A Novel Skip-Connection Strategy by Fusing Spatial and Channel Wise Features for Multi-Region Medical Image Segmentation. May 29, 2024
Neurology | Radiology DMA-HPCNet: Dual Multi-Level Attention Hybrid Pyramid Convolution Neural Network for Alzheimer’s Disease Classification. May 22, 2024
Bioinformatics | Cell Biology | Genomics scAMAC: self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder. March 1, 2024
Radiology CFANet: Context Feature Fusion and Attention Mechanism Based Network for Small Target Segmentation in Medical Images. November 14, 2023
Bioinformatics | Genomics scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data. May 26, 2023
Bioinformatics | Cell Biology | Genomics Denoising adaptive deep clustering with self-attention mechanism on single-cell sequencing data. January 30, 2023
Biomedicine | Text Mining Deep learning joint models for extracting entities and relations in biomedical: a survey and comparison. September 20, 2022
Oncology | Pathology Divide-and-Attention Network for HE-Stained Pathological Image Classification. September 14, 2022
Bioinformatics | Neurology | Pharmacology NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides. August 21, 2022
Bioinformatics | Computational Biology DLFF-ACP: prediction of ACPs based on deep learning and multi-view features fusion. August 20, 2021
Medical Imaging | Radiation Oncology Clinical Target Volume Auto-Segmentation of Esophageal Cancer for Radiotherapy After Radical Surgery Based on Deep Learning. August 13, 2021