Ricardo Bigolin Lanfredi
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Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Eye-tracking Annotations for Deep Learning Radiology Applications
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation
COPD from Chest X-rays
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