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Medical Image Analysis

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Showing 451–475 of 1360 papers

TitleStatusHype
The Hidden Adversarial Vulnerabilities of Medical Federated Learning—0
Deep Conditional Shape Models for 3D cardiac image segmentation—0
Generalizing Medical Image Representations via Quaternion Wavelet NetworksCode0
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors—0
Fed-Safe: Securing Federated Learning in Healthcare Against Adversarial Attacks—0
Data efficient deep learning for medical image analysis: A survey—0
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis—0
Exploring adversarial attacks in federated learning for medical imaging—0
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image SegmentationCode1
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods—0
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data—0
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Domain Generalization for Medical Image Analysis: A Review—0
How Good Are Synthetic Medical Images? An Empirical Study with Lung UltrasoundCode0
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models—0
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts—0
AI-based association analysis for medical imaging using latent-space geometric confounder correction—0
Trainable Noise Model as an XAI evaluation method: application on Sobol for remote sensing image segmentationCode1
A Framework for Interpretability in Machine Learning for Medical Imaging—0
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis—0
Generating 3D Brain Tumor Regions in MRI using Vector-Quantization Generative Adversarial Networks—0
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images—0
fastMONAI: A low-code deep learning library for medical image analysisCode1
Understanding Calibration of Deep Neural Networks for Medical Image Classification—0
Multi-Task Cooperative Learning via Searching for Flat Minima—0
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