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Medical Image Analysis

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Showing 826–850 of 1360 papers

TitleStatusHype
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI ImagesCode2
CD2-pFed: Cyclic Distillation-Guided Channel Decoupling for Model Personalization in Federated Learning—0
On the relationship between calibrated predictors and unbiased volume estimationCode0
Comparing radiologists' gaze and saliency maps generated by interpretability methods for chest x-raysCode0
Explainable Medical Imaging AI Needs Human-Centered Design: Guidelines and Evidence from a Systematic Review—0
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality BarrierCode1
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications—0
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image AugmentationCode0
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography—0
Dynamic multi feature-class Gaussian process models—0
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning—0
Deep Efficient Continuous Manifold Learning for Time Series ModelingCode0
FIBA: Frequency-Injection based Backdoor Attack in Medical Image AnalysisCode1
Leveraging Human Selective Attention for Medical Image Analysis with Limited Training Data—0
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image AnalysisCode1
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image ClassificationCode1
FedDropoutAvg: Generalizable federated learning for histopathology image classification—0
TransMorph: Transformer for unsupervised medical image registrationCode1
Panoptic Segmentation: A ReviewCode1
Computer Vision for Supporting Image Search—0
Monte Carlo dropout increases model repeatabilityCode0
Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention—0
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods—0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation—0
Dispensed Transformer Network for Unsupervised Domain Adaptation—0
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