Tan Hung Pham

According to our database, Tan Hung Pham authored at least 5 papers between 2018 and 2025.

Collaborative distances:

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

2025

Spherical Harmonic Approach for Design of the Rotor of Permanent Magnet Spherical Motor.

Tan Hung Pham, Min-Fu Hsieh

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

2020

Towards Label-Free 3D Segmentation of Optical Coherence Tomography Images of the Optic Nerve Head Using Deep Learning.

Sripad Krishna Devalla, Tan Hung Pham, Satish Kumar Panda, Zhang Liang, Giridhar Subramanian, Anirudh Swaminathan, Chin Zhi Yun, Mohan Rajan, Sujatha Mohan, Ramaswami Krishnadas, Vijayalakshmi Senthil, John Mark S. de Leon, Tin Aung Tun, Ching Yu Cheng, Leopold Schmetterer, Shamira A. Perera, Tin Aung, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2020

2019

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images.

Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Zhang Liang, Tin Aung Tun, Xiaofei Wang, Shamira A. Perera, Leopold Schmetterer, Tin Aung, Craig Boote, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2019

Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images.

Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiéry, Craig Boote, Ching Yu Cheng, Victor Koh, Michael J. A. Girard

CoRR, 2019

2018

A Deep Learning Approach to Denoise Optical Coherence Tomography Images of the Optic Nerve Head.

Sripad Krishna Devalla, Giridhar Subramanian, Tan Hung Pham, Xiaofei Wang, Shamira A. Perera, Tin Aung Tun, Tin Aung, Leopold Schmetterer, Alexandre H. Thiéry, Michael J. A. Girard

CoRR, 2018