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Medical Image Analysis

Papers

Showing 151175 of 1360 papers

TitleStatusHype
Brain Imaging Generation with Latent Diffusion ModelsCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image SegmentationCode1
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised MethodsCode1
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGANCode1
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-RaysCode1
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRICode1
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningCode1
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative LearningCode1
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical ImagesCode1
Federated Multi-organ Segmentation with Inconsistent LabelsCode1
Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI SegmentationCode1
CASS: Cross Architectural Self-Supervision for Medical Image AnalysisCode1
Metrics reloaded: Recommendations for image analysis validationCode1
The Fully Convolutional Transformer for Medical Image SegmentationCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical ImagingCode1
Symmetric Transformer-based Network for Unsupervised Image RegistrationCode1
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image AnalysisCode1
Follow My Eye: Using Gaze to Supervise Computer-Aided DiagnosisCode1
MFSNet: A Multi Focus Segmentation Network for Skin Lesion SegmentationCode1
Point-Unet: A Context-aware Point-based Neural Network for Volumetric SegmentationCode1
Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective FunctionsCode1
ROOD-MRI: Benchmarking the robustness of deep learning segmentation models to out-of-distribution and corrupted data in MRICode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
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