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Medical Image Analysis

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Showing 901–925 of 1360 papers

TitleStatusHype
Diffeomorphic Image Registration with Neural Velocity Field—0
Transformers in Medical Image Analysis: A Review—0
Augmentation based unsupervised domain adaptation—0
Multi-Objective Dual Simplex-Mesh Based Deformable Image Registration for 3D Medical Images -- Proof of Concept—0
A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing—0
An overview of deep learning in medical imaging—0
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications—0
Deep Learning for Computational Cytology: A Survey—0
Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment—0
Mapping DNN Embedding Manifolds for Network Generalization Prediction—0
A training-free recursive multiresolution framework for diffeomorphic deformable image registration—0
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis—0
Class-Aware Adversarial Transformers for Medical Image Segmentation—0
Virtual Adversarial Training for Semi-supervised Breast Mass Classification—0
Modality Bank: Learn multi-modality images across data centers without sharing medical data—0
The Security of Deep Learning Defences for Medical Imaging—0
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image AnalysisCode0
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images—0
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity—0
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
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
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