20 citations · 23 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 3 cited
Interpretation of Disease Evidence for Medical Images Using Adversarial Deformation Fields
Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet +1
The high complexity of deep learning models is associated with the difficulty of explaining what evidence they recognize as correlating with specific disease labels. This informati…
eess.IV2019★ 20 cited
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet +1
Knowledge of what spatial elements of medical images deep learning methods use as evidence is important for model interpretability, trustiness, and validation. There is a lack of s…