Phawis Thammasorn

According to our database, Phawis Thammasorn authored at least 6 papers between 2013 and 2023.

Collaborative distances:

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

2023

Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data.

Phawis Thammasorn, Wanpracha Art Chaovalitwongse, Daniel S. Hippe, Landon Wootton, Eric Ford, Matthew Spraker, Stephanie E. Combs, Jan C. Peeken, Matthew Nyflot

IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022

Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment.

Phawis Thammasorn, Stephanie K. Schaub, Daniel S. Hippe, Matthew Spraker, Jan C. Peeken, Landon Wootton, Paul E. Kinahan, Stephanie E. Combs, Wanpracha Art Chaovalitwongse, Matthew Nyflot

IEEE Access, 2022

2019

Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification.

Phawis Thammasorn, Daniel S. Hippe, Wanpracha Art Chaovalitwongse, Matthew Spraker, Landon Wootton, Matthew Nyflot, Stephanie Combs, Jan Peeken, Eric Ford

CoRR, 2019

2018

Deep-learning derived features for lung nodule classification with limited datasets.

Phawis Thammasorn, W. Wu, Larry A. Pierce, S. N. Pipavath, P. D. Lampe, A. M. Houghton, David R. Haynor, W. Art Chaovalitwongse, Paul E. Kinahan

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Deep convolutional Triplet network for quantitative medical image analysis with comparative case study of gamma image classification.

Phawis Thammasorn, Landon Wootton, Eric Ford, Matthew Nyflot

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2013

Real-time method for counting unseen stacked objects in mobile.

Phawis Thammasorn, Sukitta Boonchu, Aram Kawewong

Proceedings of the IEEE International Conference on Image Processing, 2013