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Se-In Jang
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Journal Articles
- 2024
- [j4]Zainab Alhakeem
, Se-In Jang
Disentangled Representations in Local-Global Contexts for Arabic Dialect Identification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 879-890 (2024) - [j3]Se-In Jang, Tinsu Pan, Ye Li
Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. IEEE Trans. Medical Imaging 43(6): 2036-2049 (2024) - 2020
- [j2]Se-In Jang, Geok-Choo Tan, Kar-Ann Toh
Online Heterogeneous Face Recognition Based on Total-Error-Rate Minimization. IEEE Trans. Syst. Man Cybern. Syst. 50(4): 1286-1299 (2020) - 2015
- [j1]Se-In Jang, Kwontaeg Choi, Kar-Ann Toh, Andrew Beng Jin Teoh
Object tracking based on an online learning network with total error rate minimization. Pattern Recognit. 48(1): 126-139 (2015)
Conference and Workshop Papers
- 2022
- [c3]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-Level-Aware Framework for PET Image Denoising. MLMIR@MICCAI 2022: 75-83 - 2021
- [c2]Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry:
Explainable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. NeSy 2021: 104-114 - 2011
- [c1]Se-In Jang, Kwontaeg Choi, Youngsung Kim, Beom-Seok Oh, Kar-Ann Toh:
Visual tracking with online discriminative learning. ICICS 2011: 1-5
Informal and Other Publications
- 2023
- [i9]Se-In Jang:
Deterministic Online Classification: Non-iteratively Reweighted Recursive Least-Squares for Binary Class Rebalancing. CoRR abs/2301.09230 (2023) - [i8]Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li:
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. CoRR abs/2302.03861 (2023) - [i7]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:
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models. CoRR abs/2306.11984 (2023) - 2022
- [i6]Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li:
A Noise-level-aware Framework for PET Image Denoising. CoRR abs/2203.08034 (2022) - [i5]Se-In Jang, Michael J. A. Girard, Alexandre H. Thiéry:
Explainable and Interpretable Diabetic Retinopathy Classification Based on Neural-Symbolic Learning. CoRR abs/2204.00624 (2022) - [i4]Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong:
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising. CoRR abs/2209.03300 (2022) - [i3]Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li:
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. CoRR abs/2212.10724 (2022) - 2020
- [i2]Se-In Jang:
Online Passive-Aggressive Total-Error-Rate Minimization. CoRR abs/2002.01771 (2020) - 2019
- [i1]Zainab Alhakeem, Se-In Jang:
A Convolution-Free LBP-HOG Descriptor For Mammogram Classification. CoRR abs/1904.00187 (2019)
Coauthor Index
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