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Showing 2876–2900 of 4513 papers

TitleStatusHype
A lightweight hybrid CNN-LSTM model for ECG-based arrhythmia detection—0
An Unsupervised Learning-based Framework for Effective Representation Extraction of Reactor Accidents—0
Confusion Matrices and Accuracy Statistics for Binary Classifiers Using Unlabeled Data: The Diagnostic Test Approach—0
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning—0
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors—0
Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA predictive performance with fewer data using Swin Transformer—0
Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor—0
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes—0
DCNNV-19: A Deep Convolutional Neural Network for COVID-19 Detection in Chest Computed TomographiesCode0
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs—0
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models—0
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021—0
Rapid, remote and low-cost finger vasculature mapping for heart rate monitoring—0
Shifted Windows Transformers for Medical Image Quality Assessment—0
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks—0
Evaluating the Quality and Diversity of DCGAN-based Generatively Synthesized Diabetic Retinopathy Imagery—0
Advances of Artificial Intelligence in Classical and Novel Spectroscopy-Based Approaches for Cancer Diagnostics. A Review—0
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification—0
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices—0
Adversarial Robustness of MR Image Reconstruction under Realistic PerturbationsCode0
Deep Learning for Material Decomposition in Photon-Counting CT—0
Deep Learning and Health Informatics for Smart Monitoring and Diagnosis—0
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening—0
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