Bioinformatics | Neurology | Proteomics An interpretable deep learning framework identifies proteomic drivers of Alzheimer’s disease. October 2, 2024
Cardiology AESurv: autoencoder survival analysis for accurate early prediction of coronary heart disease. September 26, 2024
Oncology | Radiology | Urology Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction. September 18, 2024
Image processing | Remote Sensing Hyperspectral Anomaly Detection Based on Spectral Similarity Variability Feature. September 14, 2024
Bioinformatics | Cell Biology Interpretable Fine-Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning. September 6, 2024
Medical Imaging | Radiation Oncology FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients. August 24, 2024
Medical Imaging | Radiology Generative adversarial network-based reconstruction of healthy anatomy for anomaly detection in brain CT scans. August 12, 2024
Artificial Intelligence in Medicine | Dermatology Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine. August 1, 2024
Machine Learning | Medical Imaging | Respiratory Medicine Two-Stream Convolutional Neural Networks for Breathing Pattern Classification: Real-Time Monitoring of Respiratory Disease Patients. July 27, 2024
Radiology A Novel Hybrid Machine Learning-Based System Using Deep Learning Techniques and Meta-Heuristic Algorithms for Various Medical Datatypes Classification. July 27, 2024
Bioinformatics | Oncology | Pharmacology Integration of autoencoder and graph convolutional network for predicting breast cancer drug response. July 25, 2024
Computer Vision | Information Theory An informative dual ForkNet for video anomaly detection. July 19, 2024