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ORCIDKai Hu 0002
Person information
- affiliation: Xiangtan University, Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education, Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, China
Other persons with the same name
- Kai Hu — disambiguation page
- Kai Hu 0001
![[0000-0003-3552-7200]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3552-7200")
— Shandong University, Qingdao, Shandong, China - Kai Hu 0003 — Duke University, Durham, NC, USA
- Kai Hu 0004 — Beihang University, State Key Laboratory of Software Development Environment, Beijing, China
- Kai Hu 0005 — Jiangnan University, Wuxi, China
- Kai Hu 0006 — Nanjing University of Information Science & Technology, Nanjing, China
- Kai Hu 0007 — Liaocheng University, Liaocheng, China
- Kai Hu 0008 — Xidian University, School of Physics, Xi'an, Shaanxi, China
- Kai Hu 0009 — Technical University of Munich, Department of Electrical and Computer Engineering, Germany
- Kai Hu 0010 — Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[j33]Ye Xiao, Yuanyuan Hou, Zhiqiang Wang, Yuan Zhang, Xuanya Li, Kai Hu, Xieping Gao:
Multi-scale Perception and Feature Refinement Network for multi-class segmentation of intracerebral hemorrhage in CT images. Biomed. Signal Process. Control. 88(Part B): 105614 (2024)- [j32]Chao Suo, Tianxin Zhou, Kai Hu, Yuan Zhang, Xieping Gao:
Cross-level collaborative context-aware framework for medical image segmentation. Expert Syst. Appl. 236: 121319 (2024) - [j31]Jinhao Li, Huying Li, Yuan Zhang, Zhiqiang Wang, Sheng Zhu, Xuanya Li, Kai Hu, Xieping Gao:
MCNet: A multi-level context-aware network for the segmentation of adrenal gland in CT images. Neural Networks 170: 136-148 (2024) - [j30]Yuan Zhang, Yanglin Huang, Kai Hu:
Multi-scale object equalization learning network for intracerebral hemorrhage region segmentation. Neural Networks 179: 106507 (2024) - [c19]Can Zhang, Zhiqiang Wang, Yuan Zhang, Xuanya Li, Kai Hu:
GDTNet: A Synergistic Dilated Transformer and CNN by Gate Attention for Abdominal Multi-organ Segmentation. MMM (4) 2024: 46-57 - 2023
- [j29]Yadong Zhu, Conghui Li, Kai Hu, Hongying Luo, Meijun Zhou, Xuanya Li, Xieping Gao:
A new two-stream network based on feature separation and complementation for ultrasound image segmentation. Biomed. Signal Process. Control. 82: 104567 (2023) - [j28]Tongtong Liu, Xiongjun Ye, Kai Hu, Dapeng Xiong, Yuan Zhang, Xuanya Li, Xieping Gao:
Polyp segmentation with distraction separation. Expert Syst. Appl. 228: 120434 (2023) - [j27]Kai Hu, Hui Tan, Yuan Zhang, Wei Huang, Xieping Gao:
MWG-Net: Multiscale Wavelet Guidance Network for COVID-19 Lung Infection Segmentation From CT Images. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j26]Kai Hu, Yadong Zhu, Tianxin Zhou, Yuan Zhang, Chunhong Cao, Fen Xiao, Xieping Gao:
DSC-Net: A Novel Interactive Two-Stream Network by Combining Transformer and CNN for Ultrasound Image Segmentation. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j25]Kai Hu, Xiang Zhang, Dongjin Lee, Dapeng Xiong, Yuan Zhang, Xieping Gao:
Boundary-Guided and Region-Aware Network With Global Scale-Adaptive for Accurate Segmentation of Breast Tumors in Ultrasound Images. IEEE J. Biomed. Health Informatics 27(9): 4421-4432 (2023) - [c18]Cuiyuan Li, Fa Zhang, Kai Hu, Xuefeng Cui:
Variational Clustering and Denoising of Spatial Transcriptomics. BIBM 2023: 281-286 - [c17]Yang Luo, Zhineng Chen, Shengtian Zhou, Kai Hu, Xieping Gao:
Self-distillation Augmented Masked Autoencoders for Histopathological Image Understanding. BIBM 2023: 1343-1349 - [c16]Wenjing Liu, Xuanya Li, Kai Hu, Xieping Gao:
Exploiting Multi-Decision and Deep Refinement for Ultrasound Image Segmentation. ICASSP 2023: 1-5 - [c15]Xiaokang Liu, Zhiqiang Wang, Kai Hu, Xieping Gao:
Pseudo Multi-Source Domain Extension and Selective Pseudo-Labeling for Unsupervised Domain Adaptive Medical Image Segmentation. ICASSP 2023: 1-5 - [c14]Qizhi Wang, Wei Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu:
Automatic Segmentation of Nasopharyngeal Carcinoma in CT Images Using Dual Attention and Edge Detection. ICASSP 2023: 1-5 - [c13]Qiquan Xiao, Yuan Zhang, Xuanya Li, Kai Hu:
Boundary Cue Guidance and Contextual Feature Mining for Glass Segmentation. ICASSP 2023: 1-5 - [c12]Yazhen Xie, Yanglin Huang, Yuan Zhang, Xuanya Li, Xiongjun Ye, Kai Hu:
Transwnet: Integrating Transformers into CNNS via Row and Column Attention for Abdominal Multi-Organ Segmentation. ICASSP 2023: 1-5 - 2022
- [j24]Yuan Zhang, Miao He, Zhineng Chen, Kai Hu, Xuanya Li, Xieping Gao:
Bridge-Net: Context-involved U-net with patch-based loss weight mapping for retinal blood vessel segmentation. Expert Syst. Appl. 195: 116526 (2022) - [j23]Kai Hu, Jing Lu, Dongjin Lee, Dapeng Xiong, Zhineng Chen:
AS-Net: Attention Synergy Network for skin lesion segmentation. Expert Syst. Appl. 201: 117112 (2022) - [j22]Kai Hu, Shuai Jiang, Yuan Zhang, Xuanya Li, Xieping Gao:
Joint-Seg: Treat Foveal Avascular Zone and Retinal Vessel Segmentation in OCTA Images as a Joint Task. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [c11]Jing Gao, Fa Zhang, Kai Hu, Xuefeng Cui:
Hexagonal Convolutional Neural Network for Spatial Transcriptomics Classification. BIBM 2022: 200-205 - [c10]Yanglin Huang, Donghui Tan, Yuan Zhang, Xuanya Li, Kai Hu:
TransMixer: A Hybrid Transformer and CNN Architecture for Polyp Segmentation. BIBM 2022: 1558-1561 - [c9]Fei Ye, Zhiqiang Wang, Sheng Zhu, Xuanya Li, Kai Hu:
A Novel Convolutional Neural Network Based on Adaptive Multi-Scale Aggregation and Boundary-Aware for Lateral Ventricle Segmentation on MR images. ICASSP 2022: 1431-1435 - [c8]Fucai Wu, Xuanya Li, Yuan Zhang, Kai Hu:
TransCoop: Cooperation of Transformers and CNNs for Camouflaged Object Segmentation. ICME 2022: 1-6 - 2021
- [j21]Xinyu Zhou, Xuanya Li, Kai Hu, Yuan Zhang, Zhineng Chen, Xieping Gao:
ERV-Net: An efficient 3D residual neural network for brain tumor segmentation. Expert Syst. Appl. 170: 114566 (2021) - [j20]Kai Hu, Yingjie Huang, Wei Huang, Hui Tan, Zhineng Chen, Zheng Zhong, Xuanya Li, Yuan Zhang, Xieping Gao:
Deep supervised learning using self-adaptive auxiliary loss for COVID-19 diagnosis from imbalanced CT images. Neurocomputing 458: 232-245 (2021) - [j19]Zhineng Chen, Sai Wang, Caiyan Jia, Kai Hu, Xiongjun Ye, Xuanya Li, Xieping Gao:
CRDet: Improving Signet Ring Cell Detection by Reinforcing the Classification Branch. J. Comput. Biol. 28(7): 732-743 (2021) - [j18]Zhineng Chen, Shuai Zhao, Kai Hu, Jing Han, Yuan Ji, Shaoping Ling, Xieping Gao:
A hierarchical and multi-view registration of serial histopathological images. Pattern Recognit. Lett. 152: 210-217 (2021) - [j17]Kai Hu, Dong Liu, Zhineng Chen, Xuanya Li, Yuan Zhang, Xieping Gao:
Embedded Residual Recurrent Network and Graph Search for the Segmentation of Retinal Layer Boundaries in Optical Coherence Tomography. IEEE Trans. Instrum. Meas. 70: 1-17 (2021) - [c7]Xiang Zhang, Xuanya Li, Kai Hu, Xieping Gao:
BGRA-Net: Boundary-Guided and Region-Aware Convolutional Neural Network for the Segmentation of Breast Ultrasound Images. BIBM 2021: 1619-1622 - [c6]Xiangjiang Wu, Xuanya Li, Kai Hu, Zhineng Chen, Xieping Gao:
A Hybrid Feature Enhancement Method for Gl And Segmentation In Histopathology Images. ICASSP 2021: 1140-1144 - 2020
- [j16]Fen Xiao, Bin Li, Yimu Peng, Chunhong Cao, Kai Hu, Xieping Gao:
Multi-Modal Weights Sharing and Hierarchical Feature Fusion for RGBD Salient Object Detection. IEEE Access 8: 26602-26611 (2020) - [j15]Chunhong Cao, Wei Duan, Kai Hu, Fen Xiao:
Compressive sensing MR imaging based on adaptive tight frame and reference image. IET Image Process. 14(14): 3508-3515 (2020) - [j14]Kai Hu, Kai Chen, Xizhi He, Yuan Zhang, Zhineng Chen, Xuanya Li, Xieping Gao:
Automatic segmentation of intracerebral hemorrhage in CT images using encoder-decoder convolutional neural network. Inf. Process. Manag. 57(6): 102352 (2020) - [j13]Kai Hu, Si Liu, Yuan Zhang, Chunhong Cao, Fen Xiao, Wei Huang, Xieping Gao:
Automatic segmentation of dermoscopy images using saliency combined with adaptive thresholding based on wavelet transform. Multim. Tools Appl. 79(21-22): 14625-14642 (2020) - [c5]Yiqi Chen, Xuanya Li, Kai Hu, Zhineng Chen, Xieping Gao:
Nuclei Segmentation in Histopathology Images Using Rotation Equivariant and Multi-level Feature Aggregation Neural Network. BIBM 2020: 549-554 - [c4]Shuyan Liu, Junda Ren, Zhineng Chen, Kai Hu, Fen Xiao, Xuanya Li, Xieping Gao:
EffiDiag: an Efficient Framework for Breast Cancer Diagnosis in Multi-Gigapixel Whole Slide Images. BIBM 2020: 663-669 - [c3]Xizhi He, Kai Chen, Kai Hu, Zhineng Chen, Xuanya Li, Xieping Gao:
HMOE-Net: Hybrid Multi-scale Object Equalization Network for Intracerebral Hemorrhage Segmentation in CT Images. BIBM 2020: 1006-1009 - [c2]Fei Ye, Zhiqiang Wang, Kai Hu, Sheng Zhu, Xieping Gao:
Automated Segmentation of Lateral Ventricle in MR Images Using Multi-scale Feature Fusion Convolutional Neural Network. ICPR Workshops (6) 2020: 330-338
2010 – 2019
- 2019
- [j12]Kai Hu, Qinghai Gan, Yuan Zhang, Shuhua Deng, Fen Xiao, Wei Huang, Chunhong Cao, Xieping Gao:
Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field. IEEE Access 7: 92615-92629 (2019) - [j11]Kai Hu, Xiaorui Niu, Si Liu, Yuan Zhang, Chunhong Cao, Fen Xiao, Wanchun Yang, Xieping Gao:
Classification of melanoma based on feature similarity measurement for codebook learning in the bag-of-features model. Biomed. Signal Process. Control. 51: 200-209 (2019) - [j10]Kai Hu, Xieping Gao, Yuan Zhang:
Markov multiple feature random fields model for the segmentation of brain MR images. Expert Syst. Appl. 134: 79-92 (2019) - [j9]Kai Hu, Binwei Shen, Yuan Zhang, Chunhong Cao, Fen Xiao, Xieping Gao:
Automatic segmentation of retinal layer boundaries in OCT images using multiscale convolutional neural network and graph search. Neurocomputing 365: 302-313 (2019) - [j8]Lina Tan, Kai Hu, Xinmin Zhou, Rongyuan Chen, Weijin Jiang:
Print-scan invariant text image watermarking for hardcopy document authentication. Multim. Tools Appl. 78(10): 13189-13211 (2019) - [j7]Chunhong Cao, Liu Deng, Wei Duan, Fen Xiao, Wanchun Yang, Kai Hu:
Hyperspectral image classification via compact-dictionary-based sparse representation. Multim. Tools Appl. 78(11): 15011-15031 (2019) - [j6]Chunhong Cao, Jie Yu, Chengyao Zhou, Kai Hu, Fen Xiao, Xieping Gao:
Hyperspectral Image Denoising via Subspace-Based Nonlocal Low-Rank and Sparse Factorization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(3): 973-988 (2019) - [p2]Chunhong Cao, Chengyao Zhou, Jie Yu, Kai Hu, Fen Xiao:
A Novel Active Contour Model Using Oriented Smoothness and Infinite Laplacian for Medical Image Segmentation. Cognitive Internet of Things 2019: 311-321 - [p1]Kai Hu, Si Liu, Yuan Zhang, Chunhong Cao, Fen Xiao, Wei Huang, Xieping Gao:
A Skin Lesion Segmentation Method Based on Saliency and Adaptive Thresholding in Wavelet Domain. Cognitive Internet of Things 2019: 445-453 - 2018
- [j5]Kai Hu, Qiaocui Cheng, Bodong Li, Xieping Gao:
The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform. Biomed. Signal Process. Control. 39: 336-350 (2018) - [j4]Fen Xiao, Wenzheng Deng, Liangchan Peng, Chunhong Cao, Kai Hu, Xieping Gao:
Multi-scale deep neural network for salient object detection. IET Image Process. 12(11): 2036-2041 (2018) - [j3]Kai Hu, Zhenzhen Zhang, Xiaorui Niu, Yuan Zhang, Chunhong Cao, Fen Xiao, Xieping Gao:
Retinal vessel segmentation of color fundus images using multiscale convolutional neural network with an improved cross-entropy loss function. Neurocomputing 309: 179-191 (2018) - [i1]Fen Xiao, Wenzheng Deng, Liangchan Peng, Chunhong Cao, Kai Hu, Xieping Gao:
MSDNN: Multi-Scale Deep Neural Network for Salient Object Detection. CoRR abs/1801.04187 (2018) - 2017
- [j2]Kai Hu, Wei Yang, Xieping Gao:
Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform. Expert Syst. Appl. 86: 135-144 (2017) - [c1]Kai Hu, Dongshun Cui, Yuan Zhang, Chunhong Cao, Fen Xiao, Guang-Bin Huang:
Classification of Foreign Object Debris Using Integrated Visual Features and Extreme Learning Machine. CCCV (3) 2017: 3-13 - 2011
- [j1]Kai Hu, Xieping Gao, Fei Li:
Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in Mammograms. IEEE Trans. Instrum. Meas. 60(2): 462-472 (2011)
Coauthor Index
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