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Medical Image Analysis

Papers

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Showing 951–1000 of 1360 papers

TitleStatusHype
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation—0
Studying the Effects of Self-Attention for Medical Image Analysis—0
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes—0
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey—0
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework—0
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation—0
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold TriangulationCode0
Known Operator Learning and Hybrid Machine Learning in Medical Imaging --- A Review of the Past, the Present, and the Future—0
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration—0
Uncertainty-Based Dynamic Graph Neighborhoods For Medical SegmentationCode0
Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRICode0
Adaptable image quality assessment using meta-reinforcement learning of task amenability—0
Margin-Aware Intra-Class Novelty Identification for Medical ImagesCode0
Can non-specialists provide high quality gold standard labels in challenging modalities?—0
Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease—0
Reconstructing Images of Two Adjacent Objects through Scattering Medium Using Generative Adversarial Network—0
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal ConvolutionsCode0
Deep Learning Based Cardiac MRI Segmentation: Do We Need Experts?—0
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis—0
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-NetCode0
Towards Privacy-preserving Explanations in Medical Image Analysis—0
Transductive image segmentation: Self-training and effect of uncertainty estimation—0
Compound Figure Separation of Biomedical Images with Side LossCode0
Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis—0
AGD-Autoencoder: Attention Gated Deep Convolutional Autoencoder for Brain Tumor SegmentationCode0
Supervised Segmentation with Domain Adaptation for Small Sampled Orbital CT Images—0
Estimating MRI Image Quality via Image Reconstruction Uncertainty—0
How can we learn (more) from challenges? A statistical approach to driving future algorithm development—0
Multi-scale Neural ODEs for 3D Medical Image Registration—0
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning—0
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement LearningCode0
Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation—0
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation—0
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel LearningCode0
Recent advances and clinical applications of deep learning in medical image analysis—0
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation—0
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation—0
A low-rank representation for unsupervised registration of medical images—0
Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems—0
Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images—0
Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain—0
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis—0
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer—0
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph—0
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis—0
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays—0
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelCode0
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study—0
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation—0
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