R. Todd Hurst

According to our database, R. Todd Hurst authored at least 5 papers between 2016 and 2019.

Collaborative distances:

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

2019

Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.

Zongwei Zhou, Jae Y. Shin, Ruibin Feng, R. Todd Hurst, Christopher B. Kendall, Jianming Liang

J. Digit. Imaging, 2019

2017

On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging.

Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Automatic Interpretation of Carotid Intima-Media Thickness Videos Using Convolutional Neural Networks.

Nima Tajbakhsh, Jae Y. Shin, R. Todd Hurst, Christopher B. Kendall, Jianming Liang

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang

IEEE Trans. Medical Imaging, 2016

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks.

Jae Y. Shin, Nima Tajbakhsh, R. Todd Hurst, Christopher B. Kendall, Jianming Liang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016