Latest Research in COVID-19 diagnosis using AI

Top Research Topics in COVID-19 diagnosis using AI

• Computer Vision and Pattern Recognition — 4 papers
• COVID-19 diagnosis using AI — 3 papers
• Advanced Neural Network Applications — 3 papers
• Neonatal Respiratory Health Research — 2 papers
• Artificial Intelligence in Healthcare and Education — 1 papers
• Lung Cancer Diagnosis and Treatment — 1 papers
• Hepatocellular Carcinoma Treatment and Prognosis — 1 papers
• Pancreatic and Hepatic Oncology Research — 1 papers
• Colorectal Cancer Screening and Detection — 1 papers

Highest-Cited Papers

1. Technical Report v1.19.1: The DB-Building Pipeline Behind Technical Reports v1.12–v1.16, Released for Reuse on Any Dataset
2. Pre-Processing of Computed Tomography for Liver Tumor Segmentation using Multiscale Residual Learnable Shuffle Attention V-Net
3. Translating deep learning innovations into clinical medical imaging practice
4. SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data
5. DS-UNet: enhancing liver tumor segmentation in CT images via dense state space selection and gating mechanism
6. NHPVS: a nodule-aware deep learning method for high-abundance pulmonary vessel segmentation on chest CT
7. Automated Renal Tumor Segmentation in Computed Tomography Images Using a Global Attention-Based DeepLabV3+ Model: Algorithm Development and Validation.
8. Hepatocellular Carcinoma Segmentation on MRI: Five-Fold ATLAS Benchmarking, Phase-Wise External Stress Testing, and Multiphasic OpenSwissHCC Ablation
9. Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs
10. JSolver: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections
11. Spectral Adapters for Segment Anything Model-based Segmentation of Colorectal Liver Metastases in Computed Tomography
12. Symmetric Siamese Networks for Longitudinal Chest Radiograph Change Detection: A Leakage-Controlled Study on MIMIC-CXR
13. Multicenter Validation of Foundation Model Adaptation for Automated Pancreatic Tumor Delineation on CT Scans
14. X-Net: Hybrid Transformer–CNN Framework with Multi-Aspect Attention for Precise Colon Polyp Segmentation
15. Deep Learning-Based Classification for Grading of Respiratory Distress Syndrome on Neonatal Chest Radiographs.
16. Can Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline
17. Code-Free Classification of Pediatric Pneumonia on Chest Radiographs Using Google Cloud Vertex AI AutoML: A Proof-of-Concept Internal Validation Study