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2020 – today
- 2024
[i9]Tianyi Liu, Zhaorui Tan, Kaizhu Huang, Haochuan Jiang:
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets. CoRR abs/2403.19177 (2024)- [i8]Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang:
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. CoRR abs/2406.06122 (2024) - [i7]Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang:
Generalized W-Net: Arbitrary-style Chinese Character Synthesization. CoRR abs/2406.06847 (2024) - [i6]Tianyi Liu, Zhaorui Tan, Muyin Chen, Xi Yang, Haochuan Jiang, Kaizhu Huang:
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment. CoRR abs/2408.09465 (2024) - [i5]Tianyi Liu, Zhaorui Tan, Haochuan Jiang, Xi Yang, Kaizhu Huang:
Mind the Gap: Promoting Missing Modality Brain Tumor Segmentation with Alignment. CoRR abs/2409.19366 (2024) - 2023
- [j5]Lei Li
, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. 87: 102808 (2023) - [j4]Ming Li, Jiping Wang, Yang Chen, Yufei Tang, Zhongyi Wu, Yujin Qi, Haochuan Jiang, Jian Zheng, Benjamin M. W. Tsui:
Low-Dose CT Image Synthesis for Domain Adaptation Imaging Using a Generative Adversarial Network With Noise Encoding Transfer Learning. IEEE Trans. Medical Imaging 42(9): 2616-2630 (2023) - [c10]Haochuan Jiang, Guanyu Yang, Fei Cheng, Kaizhu Huang:
Generalized W-Net: Arbitrary-Style Chinese Character Synthesization. BICS 2023: 190-200 - 2022
- [c9]Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang:
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners. LAScarQS@MICCAI 2022: 36-48 - [c8]Lim Shi Xuen, Ismail Mohd Khairuddin, Mohd Azraai Mohd Razman, Jessnor Arif Mat-Jizat, Edmund Yuen, Haochuan Jiang, Eng Hwa Yap, Anwar P. P. Abdul Majeed:
The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation. RiTA 2022: 304-309 - [i4]Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang:
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR abs/2201.03186 (2022) - [i3]Tianyi Liu, Size Hou, Jiayuan Zhu, Zilong Zhao, Haochuan Jiang:
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners. CoRR abs/2210.05151 (2022) - 2021
- [j3]Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Style-Neutralized Pattern Classification Based on Adversarially Trained Upgraded U-Net. Cogn. Comput. 13(4): 845-858 (2021) - 2020
- [c7]Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI 2020: 62-72 - [c6]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI 2020: 68-81 - [c5]Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong:
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. WWW 2020: 303-313 - [i2]Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR abs/2009.02564 (2020) - [i1]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR abs/2009.02569 (2020)
2010 – 2019
- 2018
- [c4]Haochuan Jiang, Kaizhu Huang, Rui Zhang, Amir Hussain:
Style Neutralization Generative Adversarial Classifier. BICS 2018: 3-13 - [c3]Haochuan Jiang, Guanyu Yang, Kaizhu Huang, Rui Zhang:
W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks. ICONIP (5) 2018: 483-493 - 2017
- [j2]Jieming Ma, Haochuan Jiang, Kaizhu Huang, Ziqiang Bi, Ka Lok Man:
Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance. IEEE Trans. Circuits Syst. I Regul. Pap. 64-I(12): 3183-3191 (2017) - [j1]Kaizhu Huang, Haochuan Jiang, Xu-Yao Zhang:
Field Support Vector Machines. IEEE Trans. Emerg. Top. Comput. Intell. 1(6): 454-463 (2017) - [c2]Haochuan Jiang, Kaizhu Huang, Rui Zhang:
Field Support Vector Regression. ICONIP (1) 2017: 699-708 - [c1]Kaizhu Huang, Haochuan Jiang, Xu-Yao Zhang:
Field support vector machines. IML 2017: 72:1-72:12
Coauthor Index
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