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Medical Image Analysis

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Showing 801–850 of 1360 papers

TitleStatusHype
Reducing Magnetic Resonance Image Spacing by Learning Without Ground-Truth—0
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary—0
Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science—0
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs—0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images—0
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images—0
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant—0
Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions—0
Reinforcing Medical Image Classifier to Improve Generalization on Small Datasets—0
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks—0
Responsible Deep Learning for Software as a Medical Device—0
Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST—0
Retinal Vessel Segmentation via Neuron Programming—0
Reversed Active Learning based Atrous DenseNet for Pathological Image Classification—0
Revisiting MAE pre-training for 3D medical image segmentation—0
Revolutionizing Healthcare Image Analysis in Pandemic-Based Fog-Cloud Computing Architectures—0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models—0
Risk of Training Diagnostic Algorithms on Data with Demographic Bias—0
Robust Anomaly Detection in Images using Adversarial Autoencoders—0
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification—0
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training—0
Robustness of Brain Tumor Segmentation—0
Robust Semi-Supervised Learning for Histopathology Images through Self-Supervision Guided Out-of-Distribution Scoring—0
Robust Tumor Localization with Pyramid Grad-CAM—0
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation—0
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation—0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes—0
Sample selection with noise rate estimation in noise learning of medical image analysis—0
SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging—0
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars—0
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph—0
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation—0
SearchMorph:Multi-scale Correlation Iterative Network for Deformable Registration—0
Second Order Kinematic Surface Fitting in Anatomical Structures—0
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging—0
Segmentation of Aortic Vessel Tree in CT Scans with Deep Fully Convolutional Networks—0
Segmentation of Prostate Tumour Volumes from PET Images is a Different Ball Game—0
SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentation—0
Selective Synthetic Augmentation with Quality Assurance—0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation—0
Self-adaptive vision-language model for 3D segmentation of pulmonary artery and vein—0
Self-distilled Masked Attention guided masked image modeling with noise Regularized Teacher (SMART) for medical image analysis—0
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks—0
Self-Learning to Detect and Segment Cysts in Lung CT Images without Manual Annotation—0
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis—0
Self Pre-training with Topology- and Spatiality-aware Masked Autoencoders for 3D Medical Image Segmentation—0
Self-Supervised Learning for 3D Medical Image Analysis using 3D SimCLR and Monte Carlo Dropout—0
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction—0
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