Timothy Deyer

According to our database, Timothy Deyer authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification.

Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

CoRR, 2024

MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation.

Alexander Zhou, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Valentin Fauveau, George Soultanidis, Mingqian Huang, Amish Doshi, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

CoRR, 2024

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification.

Zelong Liu, Andrew Tieu, Nikhil Patel, George Soultanidis, Louisa Deyer, Ying Wang, Sean Huver, Alexander Zhou, Yunhao Mei, Zahi A. Fayad, Timothy Deyer, Xueyan Mei

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.

Zelong Liu, Peyton Smith, Alexander Lautin, Jieshen Zhou, Maxwell Yoo, Mikey Sullivan, Haorun Li, Louisa Deyer, Alexander Zhou, Arnold Yang, Alara Yilmaz, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei

Proceedings of the Applications of Medical Artificial Intelligence, 2024

2023

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.

Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei

CoRR, 2023

2022

Automated measurements of leg length on radiographs by deep learning.

Zelong Liu, Arnold Yang, Steven Liu, Louisa Deyer, Timothy Deyer, Hao-Chih Lee, Yang Yang, Justine Lee, Zahi A. Fayad, Brett Hayden, Valentin Fauveau, Mingqian Huang, XueYan Mei

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study.

Zelong Liu, Louisa Deyer, Arnold Yang, Steven Liu, Jingqi Gong, Yang Yang, Mingqian Huang, Amish Doshi, Meng Lu, Denise Lee, Timothy Deyer, XueYan Mei

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2017

Thyroid Nodule Benignty Prediction by Deep Feature Extraction.

XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang

Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017