65 citations · 65 across the 3 of their papers we have counts for
3 papers
cs.LG2023
AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT
Edward H. Lee, Brendan Kelly, Emre Altinmakas +27
While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoreg…
eess.IV2022
A Generalizable Artificial Intelligence Model for COVID-19 Classification Task Using Chest X-ray Radiographs: Evaluated Over Four Clinical Datasets with 15,097 Patients
Ran Zhang, Xin Tie, John W. Garrett +5
Purpose: To answer the long-standing question of whether a model trained from a single clinical site can be generalized to external sites. Materials and Methods: 17,537 chest x-ray…
physics.med-ph2010★ 65 cited
Anomalous scaling law for noise variance and spatial resolution in differential phase contrast computed tomography
Guang-Hong Chen, Joseph Zambelli, Zhihua Qi +1
In conventional absorption based x-ray computed tomography (CT), the noise variance in reconstructed CT images scales with spatial resolution following an inverse cubic relationshi…