Se-In Jang

According to our database, Se-In Jang authored at least 14 papers between 2011 and 2024.

Collaborative distances:

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

2024

Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising.

Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong

IEEE Trans. Medical Imaging, June, 2024

Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification.

Zainab Alhakeem, Se-In Jang, Hong-Goo Kang

IEEE ACM Trans. Audio Speech Lang. Process., 2024

2023

TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models.

Se-In Jang, Cristina Lois, Emma Thibault, J. Alex Becker, Yafei Dong, Marc D. Normandin, Julie C. Price, Keith A. Johnson, Georges El Fakhri, Kuang Gong

CoRR, 2023

SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images.

Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li

CoRR, 2023

Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing.

Se-In Jang

CoRR, 2023

2022

Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation.

Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li

CoRR, 2022

Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.

Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry

CoRR, 2022

A Noise-Level-Aware Framework for PET Image Denoising.

Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021

Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.

Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry

Proceedings of the 15th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 1st International Joint Conference on Learning & Reasoning (IJCLR 2021), 2021

2020

Online Heterogeneous Face Recognition Based on Total-Error-Rate Minimization.

Se-In Jang, Geok-Choo Tan, Kar-Ann Toh, Andrew Beng Jin Teoh

IEEE Trans. Syst. Man Cybern. Syst., 2020

Online Passive-Aggressive Total-Error-Rate Minimization.

Se-In Jang

CoRR, 2020

2019

A Convolution-Free LBP-HOG Descriptor For Mammogram Classification.

Zainab Alhakeem, Se-In Jang

CoRR, 2019

2015

Object tracking based on an online learning network with total error rate minimization.

Se-In Jang, Kwontaeg Choi, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim

Pattern Recognit., 2015

2011

Visual tracking with online discriminative learning.

Se-In Jang, Kwontaeg Choi, Youngsung Kim, Beom-Seok Oh, Kar-Ann Toh

Proceedings of the 8th International Conference on Information, 2011