Feature Interpretation Using Generative Adversarial Networks (FIGAN): A framework for visualizing a CNN's learned features
Convolutional neural networks (CNNs) are increasingly being explored and used for a
variety of classification tasks in medical imaging, but current methods for post hoc …
variety of classification tasks in medical imaging, but current methods for post hoc …
Deep Learning Radiographic Assessment of Pulmonary Edema: Optimizing Clinical Performance, Training With Serum Biomarkers
A major obstacle when developing convolutional neural networks (CNNs) for medical
imaging is the acquisition of training labels: Most current approaches rely on manual class …
imaging is the acquisition of training labels: Most current approaches rely on manual class …
Workshop Report: C-Accel Track Recommendation: Ethical Design of AIs (EDAIs) Executive Summary
KA Ashley, I Canavotto, J Cristman, D Danks… - 2023 - par.nsf.gov
A Workshop on the Ethical Design of AIs was convened in September and October 2022.
Workshop participants hailed from a wide range of disciplines and application domains, and …
Workshop participants hailed from a wide range of disciplines and application domains, and …