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Medical Image Analysis

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Showing 51–100 of 1360 papers

TitleStatusHype
STPNet: Scale-aware Text Prompt Network for Medical Image SegmentationCode1
DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label GenerationCode0
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation—0
EchoFlow: A Foundation Model for Cardiac Ultrasound Image and Video Generation—0
iMedImage Technical Report—0
SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI—0
Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image AnalysisCode2
Efficient Self-Supervised Adaptation for Medical Image AnalysisCode1
UMIT: Unifying Medical Imaging Tasks via Vision-Language ModelsCode0
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation—0
Automatic quality control in multi-centric fetal brain MRI super-resolution reconstructionCode1
Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis—0
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image SegmentationCode0
Deep Perceptual Enhancement for Medical Image AnalysisCode0
Interactive Medical Image Analysis with Concept-based Similarity ReasoningCode1
Synthetic Lung X-ray Generation through Cross-Attention and Affinity Transformation—0
Improving cognitive diagnostics in pathology: a deep learning approach for augmenting perceptional understanding of histopathology images—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework—0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation—0
SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging—0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
FunBench: Benchmarking Fundus Reading Skills of MLLMs—0
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases—0
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging—0
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification—0
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification—0
TagGAN: A Generative Model for Data Tagging—0
Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives—0
Applications of Large Models in Medicine—0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier ModelsCode0
H3DE-Net: Efficient and Accurate 3D Landmark Detection in Medical ImagingCode1
Vision Foundation Models in Medical Image Analysis: Advances and Challenges—0
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural FieldsCode1
UNGT: Ultrasound Nasogastric Tube Dataset for Medical Image AnalysisCode0
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning—0
MobileViM: A Light-weight and Dimension-independent Vision Mamba for 3D Medical Image AnalysisCode0
Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour AwarenessCode1
Optimizing CNN Architectures for Advanced Thoracic Disease Classification—0
SegX: Improving Interpretability of Clinical Image Diagnosis with Segmentation-based EnhancementCode1
QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical ImagesCode1
ActiveSSF: An Active-Learning-Guided Self-Supervised Framework for Long-Tailed Megakaryocyte Classification—0
The Devil is in the Prompts: De-Identification Traces Enhance Memorization Risks in Synthetic Chest X-Ray GenerationCode0
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation—0
MORPH-LER: Log-Euclidean Regularization for Population-Aware Image RegistrationCode0
Extending SEEDS to a Supervoxel Algorithm for Medical Image AnalysisCode0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
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