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05/06/2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray Data
Privacy regulations and the physical distribution of heterogeneous data ...
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10/02/2020
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
Chest X-ray is one of the most widespread examinations of the human body...
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01/23/2020
Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
The automatic detection of critical findings in chest X-rays (CXR), such...
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01/23/2020
Intelligent Chest X-ray Worklist Prioritization by CNNs: A Clinical Workflow Simulation
Growing radiologic workload and shortage of medical experts worldwide of...
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01/16/2020
Continual Learning for Domain Adaptation in Chest X-ray Classification
Over the last years, Deep Learning has been successfully applied to a br...
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07/16/2019
Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs
Pneumothorax is a critical condition that requires timely communication ...
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10/17/2018
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Chest radiography is the most common clinical examination type. To impro...
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03/06/2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
The increased availability of X-ray image archives (e.g. the ChestX-ray1...
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12/18/2015