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Medical Image Analysis

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Showing 701–750 of 1360 papers

TitleStatusHype
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss—0
Brain Imaging Generation with Latent Diffusion ModelsCode1
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registrationCode0
Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis—0
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image SegmentationCode0
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers—0
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image ClassificationCode0
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised LearningCode0
Automatic Infectious Disease Classification Analysis with Concept DiscoveryCode0
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic SegmentationCode2
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis—0
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives—0
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students—0
Recent Progress in Transformer-based Medical Image Analysis—0
Traditional methods in Edge, Corner and Boundary detection—0
Extraction of Pulmonary Airway in CT Scans Using Deep Fully Convolutional Networks—0
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms—0
Learning from imperfect training data using a robust loss function: application to brain image segmentationCode0
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices—0
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion—0
Texture features in medical image analysis: a survey—0
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray ImagesCode0
Information Gain Sampling for Active Learning in Medical Image Classification—0
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image SegmentationCode1
BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture—0
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised MethodsCode1
Study of the performance and scalability of federated learning for medical imaging with intermittent clients—0
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation—0
CheXplaining in Style: Counterfactual Explanations for Chest X-rays using StyleGANCode1
Brain MRI study for glioma segmentation using convolutional neural networks and original post-processing techniques with low computational demand—0
Tutorial on the development of AI models for medical image analysis—0
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-RaysCode1
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRICode1
Efficient Lung Cancer Image Classification and Segmentation Algorithm Based on Improved Swin Transformer—0
Fine-grained Correlation Loss for Regression—0
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningCode1
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions—0
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
Non-iterative Coarse-to-fine Registration based on Single-pass Deep Cumulative LearningCode1
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
Attention-based Dynamic Subspace Learners for Medical Image Analysis—0
Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images—0
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical ImagesCode1
Federated Multi-organ Segmentation with Inconsistent LabelsCode1
A Review of Causality for Learning Algorithms in Medical Image Analysis—0
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