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Medical Image Analysis

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Showing 1026–1050 of 1360 papers

TitleStatusHype
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis—0
Learning With Context Feedback Loop for Robust Medical Image SegmentationCode0
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models—0
Domain Adaptation for Medical Image Analysis: A Survey—0
BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentationCode0
Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images—0
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review—0
Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR imagesCode0
Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis—0
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary—0
Task-driven Self-supervised Bi-channel Networks for Diagnosis of Breast Cancers with Mammography—0
Deep Learning applications for COVID-19—0
Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer—0
Efficiently Troubleshooting Image Segmentation Models with Human-In-The-Loop—0
Stabilized Medical Attacks—0
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images—0
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation—0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods—0
Privacy-preserving medical image analysis—0
Deformable Gabor Feature Networks for Biomedical Image Classification—0
Contour Transformer Network for One-shot Segmentation of Anatomical StructuresCode0
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy—0
Weakly- and Semi-Supervised Probabilistic Segmentation and Quantification of Ultrasound Needle-Reverberation Artifacts to Allow Better AI Understanding of Tissue Beneath Needles—0
A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification—0
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