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Changhong Liang
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2020 – today
- 2024
- [j15]Zhihe Zhao, Siyao Du, Zeyan Xu, Zhi Yin, Xiaomei Huang, Xin Huang, Chinting Wong, Yanting Liang, Jing Shen, Jianlin Wu, Jinrong Qu, Lina Zhang, Yanfen Cui, Ying Wang, Leonard Wee
, Andre Dekker
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Comput. Biol. Medicine 169: 107939 (2024) - [j14]Dan Wang, Chu Han, Zhen Zhang
FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. Comput. Methods Programs Biomed. 249: 108141 (2024) - 2023
- [j13]Xipeng Pan
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Anal. 88: 102867 (2023) - [j12]Yuhao Mo, Chu Han
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. IEEE Trans. Medical Imaging 42(6): 1696-1706 (2023) - [j11]Jianwei Lin, Jiatai Lin
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. IEEE Trans. Medical Imaging 42(8): 2451-2461 (2023) - [c3]Wentian Cai
A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI. ICME 2023: 210-215 - [i9]Tianpeng Deng, Yanqi Huang
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. CoRR abs/2302.12662 (2023) - [i8]Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu:
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation. CoRR abs/2307.05889 (2023) - [i7]Jiatai Lin
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications. CoRR abs/2309.03509 (2023) - 2022
- [j10]Bingchao Zhao, Chu Han
RestainNet: A self-supervised digital re-stainer for stain normalization. Comput. Electr. Eng. 103: 108304 (2022) - [j9]Chu Han
Meta multi-task nuclei segmentation with fewer training samples. Medical Image Anal. 80: 102481 (2022) - [j8]Chu Han
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Anal. 80: 102487 (2022) - [j7]Jiatai Lin
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. IEEE Trans. Medical Imaging 41(9): 2252-2262 (2022) - [i6]Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu:
RestainNet: a self-supervised digital re-stainer for stain normalization. CoRR abs/2202.13804 (2022) - [i5]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i4]Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images. CoRR abs/2205.08390 (2022) - [i3]Jianwei Lin, Jiatai Lin
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation. CoRR abs/2207.07370 (2022) - 2021
- [i2]Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu:
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. CoRR abs/2110.08048 (2021) - [i1]Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han:
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. CoRR abs/2111.03063 (2021) - 2020
- [j6]Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, Chu Han
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation. Medical Image Anal. 65: 101786 (2020) - [c2]Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu, Chu Han:
CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images. BrainLes@MICCAI (2) 2020: 497-507
2010 – 2019
- 2019
- [c1]Ying Gao, Yin Zhao, Xiongwen Luo, Xiping Hu, Changhong Liang:
Dense Encoder-Decoder Network based on Two-Level Context Enhanced Residual Attention Mechanism for Segmentation of Breast Tumors in Magnetic Resonance Imaging. BIBM 2019: 1123-1129 - 2014
- [j5]Ying Yan, Xunwang Zhao, Yu Zhang, Changhong Liang, Zhewang Ma:
Parallel Computation of Complex Antennas around the Coated Object Using Iterative Vector Fields Technique. IEICE Trans. Electron. 97-C(7): 661-669 (2014)
2000 – 2009
- 2007
- [j4]Yan Shi, Changhong Liang:
The finite-volume time-domain algorithm using least square method in solving Maxwell's equations. J. Comput. Phys. 226(2): 1444-1457 (2007) - [j3]Yan Shi, Changhong Liang:
Application of the Spatial-Spectral CG-FFT Method for the Solution of Electromagnetic Scattering by Buried Flat Metallic Objects. IEEE Geosci. Remote. Sens. Lett. 4(1): 37-40 (2007) - 2006
- [j2]Huiqing Zhai, Qiang Chen, Qiaowei Yuan
Analysis of Large-Scale Periodic Array Antennas by CG-FFT Combined with Equivalent Sub-Array Preconditioner. IEICE Trans. Commun. 89-B(3): 922-928 (2006) - 2005
- [j1]Long Li, Haixia Liu, Yan Shi, Changhong Liang:
Generalized system function analysis of resonant behavior of electromagnetic open systems. Sci. China Ser. F Inf. Sci. 48(5): 615-631 (2005)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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