Jae Y. Shin

According to our database, Jae Y. Shin authored at least 10 papers between 2016 and 2021.

Collaborative distances:

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

2021

Active, continual fine tuning of convolutional neural networks for reducing annotation efforts.

Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

Medical Image Anal., 2021

2019

Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.

Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, Jianming Liang

Medical Image Anal., 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

2018

AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts.

Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

CoRR, 2018

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 polyp detection in colonoscopy videos.

Zijie Yuan, Mohammadhassan Izadyyazdanabadi, Divya Mokkapati, Rujuta Panvalkar, Jae Y. Shin, Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally.

Zongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 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