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Medical Image Analysis

Papers

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Showing 451–500 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
Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis—0
Data efficient deep learning for medical image analysis: A survey—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
A Systematic Review of Few-Shot Learning in Medical Imaging—0
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive LearningCode1
Anatomy-informed Data Augmentation for Enhanced Prostate Cancer DetectionCode3
SAM3D: Segment Anything Model in Volumetric Medical ImagesCode1
Augmenting Chest X-ray Datasets with Non-Expert AnnotationsCode1
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection—0
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis—0
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative SubspacesCode0
CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and AttentionCode1
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation—0
unORANIC: Unsupervised Orthogonalization of Anatomy and Image-Characteristic FeaturesCode0
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
Efficient Annotation for Medical Image Analysis: A One-Pass Selective Annotation Approach—0
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation—0
DeepLOC: Deep Learning-based Bone Pathology Localization and Classification in Wrist X-ray Images—0
Prediction of Pneumonia and COVID-19 Using Deep Neural Networks—0
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks—0
The Performance of Transferability Metrics does not Translate to Medical TasksCode0
Classification of White Blood Cells Using Machine and Deep Learning Models: A Systematic Review—0
From CNN to Transformer: A Review of Medical Image Segmentation Models—0
Rapid Training Data Creation by Synthesizing Medical Images for Classification and Localization—0
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