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Medical Image Analysis

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Showing 751–800 of 1360 papers

TitleStatusHype
Towards Privacy-preserving Explanations in Medical Image Analysis—0
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions—0
Towards unraveling calibration biases in medical image analysis—0
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency—0
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM—0
Traditional methods in Edge, Corner and Boundary detection—0
Training Medical Image Analysis Systems like Radiologists—0
Training Models 20X Faster in Medical Image Analysis—0
Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking—0
Transductive image segmentation: Self-training and effect of uncertainty estimation—0
Transferability Estimation for Semantic Segmentation Task—0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation—0
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity—0
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains—0
Transformers-based architectures for stroke segmentation: A review—0
Transformers in Medical Image Analysis: A Review—0
Transformer-Unet: Raw Image Processing with Unet—0
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes—0
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation—0
TransMed: Transformers Advance Multi-modal Medical Image Classification—0
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods—0
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis—0
Tutorial on the development of AI models for medical image analysis—0
Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps—0
Uncertainty-Aware Multi-Parametric Magnetic Resonance Image Information Fusion for 3D Object Segmentation—0
Uncertainty-Aware Multiple-Instance Learning for Reliable Classification: Application to Optical Coherence Tomography—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification—0
Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors—0
Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan—0
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems—0
Understanding Calibration of Deep Neural Networks for Medical Image Classification—0
U-Net and its variants for medical image segmentation: theory and applications—0
UniCoN: Universal Conditional Networks for Multi-Age Embryonic Cartilage Segmentation with Sparsely Annotated Data—0
UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan—0
Unified Multi-scale Feature Abstraction for Medical Image Segmentation—0
Unified Representation Learning for Efficient Medical Image Analysis—0
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer—0
UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment—0
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations—0
Unsupervised Diffeomorphic Surface Registration and Non-Linear Modelling—0
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features—0
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification—0
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification—0
Unsupervised Image Registration Towards Enhancing Performance and Explainability in Cardiac And Brain Image Analysis—0
Unsupervised Segmentation of Colonoscopy Images—0
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs—0
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis—0
Variational Knowledge Distillation for Disease Classification in Chest X-Rays—0
Virtual Adversarial Training for Semi-supervised Breast Mass Classification—0
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