1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.IV2022★ 1 cited
Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs
Ethan Schonfeld, Anand Veeravagu
Problem: There is a lack of big data for the training of deep learning models in medicine, characterized by the time cost of data collection and privacy concerns. Generative advers…
eess.IV2022
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures
Edward Vendrow, Ethan Schonfeld
The image captioning task is increasingly prevalent in artificial intelligence applications for medicine. One important application is clinical report generation from chest radiogr…