Jay J. Yoo

According to our database, Jay J. Yoo authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Non-invasive liver fibrosis screening on CT images using radiomics.

Jay J. Yoo, Khashayar Namdar, Sean Carey, Sandra E. Fischer, Chris McIntosh, Farzad Khalvati, Patrik Rogalla

BMC Medical Imaging, December, 2025

A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI.

Felicia Liu, Jay J. Yoo, Farzad Khalvati

CoRR, September, 2025

2024

Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images.

Jay J. Yoo, Khashayar Namdar, Farzad Khalvati

BMC Medical Imaging, 2024

2022

A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection.

Jay J. Yoo, Khashayar Namdar, Chris McIntosh, Farzad Khalvati, Patrik Rogalla

CoRR, 2022

A novel GAN-based paradigm for weakly supervised brain tumor segmentation of MR images.

Jay J. Yoo, Khashayar Namdar, Matthias W. Wagner, Liana Nobre, Uri Tabori, Cynthia Hawkins, Birgit B. Ertl-Wagner, Farzad Khalvati

CoRR, 2022

Superpixel Generation and Clustering for Weakly Supervised Brain Tumor Segmentation in MR Images.

Jay J. Yoo, Khashayar Namdar, Farzad Khalvati

CoRR, 2022