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Medical Image Analysis

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Showing 1101–1125 of 1360 papers

TitleStatusHype
Is Texture Predictive for Age and Sex in Brain MRI?Code0
Is Autoencoder Truly Applicable for 3D CT Super-Resolution?Code0
Inverse-Consistent Deep Networks for Unsupervised Deformable Image RegistrationCode0
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classificationCode0
Chronic Obstructive Pulmonary Disease Severity Classification using lung soundCode0
Severity classification of ground-glass opacity via 2-D convolutional neural network and lung CT scans: a 3-day explorationCode0
CE-Net: Context Encoder Network for 2D Medical Image SegmentationCode0
Asymmetric 3D Context Fusion for Universal Lesion DetectionCode0
Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise SegmentationCode0
Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image AnalysisCode0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
Inherently Interpretable Multi-Label Classification Using Class-Specific CounterfactualsCode0
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural NetworksCode0
Deployment of Image Analysis Algorithms under Prevalence ShiftsCode0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image AnalysisCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Shape-aware Surface Reconstruction from Sparse 3D Point-CloudsCode0
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) ImagesCode0
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentationCode0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Cats or CAT scans: transfer learning from natural or medical image source datasets?Code0
Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural NetworksCode0
The Performance of Transferability Metrics does not Translate to Medical TasksCode0
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold TriangulationCode0
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