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Medical Image Analysis

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Showing 1101–1125 of 1360 papers

TitleStatusHype
Reducing Magnetic Resonance Image Spacing by Learning Without Ground-Truth—0
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationCode1
Eisen: a python package for solid deep learning—0
Synthesize then Compare: Detecting Failures and Anomalies for Semantic SegmentationCode1
Breast Cancer Detection Using Convolutional Neural NetworksCode0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
Synthesis of Brain Tumor MR Images for Learning Data AugmentationCode1
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images—0
Trajectory Grouping with Curvature Regularization for Tubular Structure Tracking—0
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation—0
A Question-Centric Model for Visual Question Answering in Medical ImagingCode0
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography—0
Self-supervised Representation Learning for Ultrasound Video—0
Deform-GAN:An Unsupervised Learning Model for Deformable RegistrationCode1
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions—0
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image AnalysisCode1
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model—0
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
Edge-Gated CNNs for Volumetric Semantic Segmentation of Medical Images—0
Knowledge Distillation for Brain Tumor SegmentationCode1
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer—0
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives—0
Suggestive Labelling for Medical Image Analysis by Adaptive Latent Space Sampling—0
Training Models 20X Faster in Medical Image Analysis—0
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