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Medical Image Analysis

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Showing 351–375 of 1360 papers

TitleStatusHype
MORPH-LER: Log-Euclidean Regularization for Population-Aware Image RegistrationCode0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Point Cloud Upsampling as Statistical Shape Model for Pelvic—0
Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI—0
Object Detection for Medical Image Analysis: Insights from the RT-DETR Model—0
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenarioCode0
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST—0
Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-NetCode0
Enhancing Medical Image Analysis through Geometric and Photometric transformations—0
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis—0
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification—0
Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning—0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation—0
Continual Deep Active Learning for Medical Imaging: Replay-Base Architecture for Context AdaptationCode0
MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis—0
A Steerable Deep Network for Model-Free Diffusion MRI Registration—0
Semise: Semi-supervised learning for severity representation in medical image—0
Image Segmentation: Inducing graph-based learningCode0
Self-adaptive vision-language model for 3D segmentation of pulmonary artery and vein—0
Multi-Modal One-Shot Federated Ensemble Learning for Medical Data with Vision Large Language Model—0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
Multi-modal Vision Pre-training for Medical Image Analysis—0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
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