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Medical Image Analysis

Papers

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Showing 576–600 of 1360 papers

TitleStatusHype
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration—0
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive LearningCode0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
exploreCOSMOS: Interactive Exploration of Conditional Statistical Shape Models in the Web-BrowserCode0
An advanced data fabric architecture leveraging homomorphic encryption and federated learning—0
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Expert-Adaptive Medical Image Segmentation—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
Second Order Kinematic Surface Fitting in Anatomical Structures—0
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesCode0
EndoGaussians: Single View Dynamic Gaussian Splatting for Deformable Endoscopic Tissues Reconstruction—0
Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Survey—0
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement—0
Slicer Networks—0
Boosting Few-Shot Semantic Segmentation Via Segment Anything Model—0
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans—0
MedBlindTuner: Towards Privacy-preserving Fine-tuning on Biomedical Images with Transformers and Fully Homomorphic EncryptionCode0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced ModalitiesCode0
DDPM based X-ray Image Synthesizer—0
Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis—0
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects—0
A Polarization and Radiomics Feature Fusion Network for the Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma—0
Sample selection with noise rate estimation in noise learning of medical image analysis—0
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