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Medical Image Analysis

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Showing 776–800 of 1360 papers

TitleStatusHype
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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