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Medical Image Analysis

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Showing 701–750 of 1360 papers

TitleStatusHype
Slicer Networks—0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
SL: Stable Learning in Source-Free Domain Adaption for Medical Image Segmentation—0
Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis—0
Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis—0
Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation—0
Spatial Aggregation of Holistically-Nested Convolutional Neural Networks for Automated Pancreas Localization and Segmentation—0
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation—0
Spatiotemporal Modeling Encounters 3D Medical Image Analysis: Slice-Shift UNet with Multi-View Fusion—0
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation—0
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis—0
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation—0
Stabilized Medical Attacks—0
Adversarial Heart Attack: Neural Networks Fooled to Segment Heart Symbols in Chest X-Ray Images—0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
Structure Guided Manifolds for Discovery of Disease Characteristics—0
Studying the Effects of Self-Attention for Medical Image Analysis—0
Study of the performance and scalability of federated learning for medical imaging with intermittent clients—0
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling—0
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling—0
Suggestive Labelling for Medical Image Analysis by Adaptive Latent Space Sampling—0
Superpixel-Guided Label Softening for Medical Image Segmentation—0
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images—0
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
Switching Loss for Generalized Nucleus Detection in Histopathology—0
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation—0
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation—0
Synthetic Privileged Information Enhances Medical Image Representation Learning—0
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency—0
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
TagGAN: A Generative Model for Data Tagging—0
Tailored Multi-Organ Segmentation with Model Adaptation and Ensemble—0
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography—0
Template Matching Advances and Applications in Image Analysis—0
Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform—0
Texture features in medical image analysis: a survey—0
Texture image analysis and texture classification methods - A review—0
The Hidden Adversarial Vulnerabilities of Medical Federated Learning—0
The Impact of Scanner Domain Shift on Deep Learning Performance in Medical Imaging: an Experimental Study—0
The Minimum Cost Connected Subgraph Problem in Medical Image Analysis—0
The Security of Deep Learning Defences for Medical Imaging—0
TOMAAT: volumetric medical image analysis as a cloud service—0
Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images—0
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond—0
Towards Direct Medical Image Analysis without Segmentation—0
Towards Generalizable Medical Image Segmentation with Pixel-wise Uncertainty Estimation—0
Towards Multi-dimensional Explanation Alignment for Medical Classification—0
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