207 citations · 349 across the 16 of their papers we have counts for
4 papers · 1 filter
Chest ImaGenome Dataset for Clinical Reasoning
Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou +9
Despite the progress in automatic detection of radiologic findings from chest X-ray (CXR) images in recent years, a quantitative evaluation of the explainability of these models is…
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao +5
Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look a…
Channel Scaling: A Scale-and-Select Approach for Transfer Learning
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
Transfer learning with pre-trained neural networks is a common strategy for training classifiers in medical image analysis. Without proper channel selections, this often results in…
Statistical learning and cross-validation for point processes
Ottmar Cronie, Mehdi Moradi, Christophe A. N. Biscio
This paper presents the first general (supervised) statistical learning framework for point processes in general spaces. Our approach is based on the combination of two new concept…