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Medical Image Analysis

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Showing 1101–1150 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
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human jointsCode0
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at ScaleCode1
Learning Deformable Registration of Medical Images with Anatomical ConstraintsCode1
Image Segmentation Using Deep Learning: A SurveyCode1
Robustness of Brain Tumor Segmentation—0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
Multimodal Self-Supervised Learning for Medical Image Analysis—0
Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan—0
Selective Synthetic Augmentation with Quality Assurance—0
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis—0
OASIS: One-pass aligned Atlas Set for Image Segmentation—0
Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation—0
Kvasir-SEG: A Segmented Polyp DatasetCode0
Optimization with soft Dice can lead to a volumetric bias—0
Unified Multi-scale Feature Abstraction for Medical Image Segmentation—0
Deep generative model-driven multimodal prostate segmentation in radiotherapy—0
Deep Semantic Segmentation of Natural and Medical Images: A Review—0
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation—0
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs—0
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis—0
NeurReg: Neural Registration and Its Application to Image SegmentationCode0
Weakly supervised segmentation from extreme points—0
Improvement of Multiparametric MR Image Segmentation by Augmenting the Data with Generative Adversarial Networks for Glioma Patients—0
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingCode1
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