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Medical Image Analysis

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Showing 951–1000 of 1360 papers

TitleStatusHype
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
Vision Foundation Models in Medical Image Analysis: Advances and Challenges—0
Vision Through the Veil: Differential Privacy in Federated Learning for Medical Image Classification—0
Vision Transformer for Efficient Chest X-ray and Gastrointestinal Image Classification—0
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection—0
Visual Prompt Engineering for Medical Vision Language Models in Radiology—0
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification—0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation—0
Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles—0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss—0
Weakly Supervised Object Detection with 2D and 3D Regression Neural Networks—0
Weakly supervised segmentation from extreme points—0
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis—0
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation—0
Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image Segmentation—0
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems—0
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation—0
Y-net: Biomedical Image Segmentation and Clustering—0
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation—0
Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future—0
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions—0
Label Stability in Multiple Instance Learning—0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation—0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students—0
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images—0
Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients—0
Learning Discriminative Representations for Fine-Grained Diabetic Retinopathy Grading—0
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