Se-In Jang

17 papers C 2Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
TauGenNet: Plasma-Driven Tau PET Image Synthesis via Text-Guided 3D Diffusion Models.
CoRR
Yuxin Gong, Se-In Jang, Wei Shao, Yi Su, Kuang Gong
2024 J jnl
Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification.
IEEE ACM Trans. Audio Speech Lang. Process.
Zainab Alhakeem, Se-In Jang, Hong-Goo Kang
2024 J jnl
Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising.
IEEE Trans. Medical Imaging
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
2023 J jnl
Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing.
CoRR
Se-In Jang
2023 J jnl
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images.
CoRR
Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
2023 J jnl
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models.
CoRR
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
2022 — conf
A Noise-Level-Aware Framework for PET Image Denoising.
MLMIR@MICCAI
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott D. Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li
2022 J jnl
A Noise-level-aware Framework for PET Image Denoising.
CoRR
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott D. Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li
2022 J jnl
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.
CoRR
Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry
2022 J jnl
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation.
CoRR
Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
2022 J jnl
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising.
CoRR
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
2021 C conf
Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning.
NeSy
Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry
2020 J jnl
Online Heterogeneous Face Recognition Based on Total-Error-Rate Minimization.
IEEE Trans. Syst. Man Cybern. Syst.
Se-In Jang, Geok-Choo Tan, Kar-Ann Toh, Andrew Beng Jin Teoh
2020 J jnl
Online Passive-Aggressive Total-Error-Rate Minimization.
CoRR
Se-In Jang
2019 J jnl
A Convolution-Free LBP-HOG Descriptor For Mammogram Classification.
CoRR
Zainab Alhakeem, Se-In Jang
2015 J jnl
Object tracking based on an online learning network with total error rate minimization.
Pattern Recognit.
Se-In Jang, Kwontaeg Choi, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim
2011 C conf
Visual tracking with online discriminative learning.
ICICS
Se-In Jang, Kwontaeg Choi, Youngsung Kim, Beom-Seok Oh, Kar-Ann Toh