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2020 – today
- 2024
[j65]Yaqi Wang, Qingshan Hou, Peng Cao
, Jinzhu Yang, Osmar R. Zaïane:
Lesion-aware knowledge distillation for diabetic retinopathy lesion segmentation. Appl. Intell. 54(2): 1937-1956 (2024)- [j64]Yan Huang, Jinzhu Yang, Qi Sun, Yuliang Yuan, Honghe Li, Yang Hou:
Multi-residual 2D network integrating spatial correlation for whole heart segmentation. Comput. Biol. Medicine 172: 108261 (2024) - [j63]Lingzhi Tang, Xueqi Wang, Jinzhu Yang, Yonghuai Wang, Mingjun Qu, Honghe Li:
DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography. Comput. Methods Programs Biomed. 243: 107882 (2024) - [j62]Kai Zhang, Wei Liang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Label correlation guided discriminative label feature learning for multi-label chest image classification. Comput. Methods Programs Biomed. 245: 108032 (2024) - [j61]Hanguang Su, Xinyang Luan, Huaguang Zhang, Xiaodong Liang, Jinzhu Yang, Jiawei Wang:
Decentralized optimal control of large-scale partially unknown nonlinear mismatched interconnected systems based on dynamic event-triggered control. Neurocomputing 568: 127013 (2024) - [j60]Ruoxian Song, Peng Cao, Guangqi Wen, Pengfei Zhao, Ziheng Huang, Xizhe Zhang, Jinzhu Yang, Osmar R. Zaïane:
BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis. Medical Image Anal. 96: 103211 (2024) - [j59]Yong Feng, Jinzhu Yang, Meng Li, Lingzhi Tang, Song Sun, Yonghuai Wang:
A Bayesian network for simultaneous keyframe and landmark detection in ultrasonic cine. Medical Image Anal. 97: 103228 (2024) - [j58]Honghe Li, Jinzhu Yang, Zhanfeng Xuan, Mingjun Qu, Yonghuai Wang, Chaolu Feng:
A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection. Medical Image Anal. 97: 103272 (2024) - [j57]Yuliang Yuan, Jinzhu Yang, Qi Sun, Yan Huang, Shuang Ma:
Cinematic volume rendering algorithm based on multiple lights photon mapping. Multim. Tools Appl. 83(2): 5799-5812 (2024) - [j56]Cong Jiang, Yange Zhou, Zhaoshuo Liu, Chaolu Feng, Wei Liu, Jinzhu Yang:
Learning discriminative foreground-and-background features for few-shot segmentation. Multim. Tools Appl. 83(18): 55999-56019 (2024) - [j55]Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. Neural Networks 178: 106546 (2024) - [j54]Zhaoshuo Liu, Chaolu Feng, Kun Yu, Jun Hu, Jinzhu Yang:
GCReID: Generalized continual person re-identification via meta learning and knowledge accumulation. Neural Networks 179: 106561 (2024) - [j53]Lingzhi Tang, Zitian Zhang, Jinzhu Yang, Yong Feng, Song Sun, Baoxin Liu, Junting Ma, Jiaxi Liu, Haibo Shao:
A New Automated Prognostic Prediction Method Based on Multi-Sequence Magnetic Resonance Imaging for Hepatic Resection of Colorectal Cancer Liver Metastases. IEEE J. Biomed. Health Informatics 28(3): 1528-1539 (2024) - [j52]Qingshan Hou, Yaqi Wang, Peng Cao, Shuai Cheng, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Collaborative Self-Supervised Domain Adaptation for Low-Quality Medical Image Enhancement. IEEE Trans. Medical Imaging 43(7): 2479-2494 (2024) - [c53]Zhiyong Jin, Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang:
Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis. ICASSP 2024: 2270-2274 - [c52]Junjie Liang, Peng Cao, Wenju Yang, Jinzhu Yang, Osmar R. Zaïane:
3D-SAutoMed: Automatic Segment Anything Model for 3D Medical Image Segmentation from Local-Global Perspective. MICCAI (9) 2024: 3-12 - [c51]Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. MICCAI (3) 2024: 3-12 - [c50]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane:
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. MICCAI (3) 2024: 13-23 - [c49]Lanting Li, Liuzeng Zhang, Peng Cao, Jinzhu Yang, Fei Wang, Osmar R. Zaïane:
Exploring Spatio-temporal Interpretable Dynamic Brain Function with Transformer for Brain Disorder Diagnosis. MICCAI (2) 2024: 195-205 - [c48]Yaqi Wang, Peng Cao, Qingshan Hou, Linqi Lan, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Progressively Correcting Soft Labels via Teacher Team for Knowledge Distillation in Medical Image Segmentation. MICCAI (9) 2024: 521-530 - [c47]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. MICCAI (9) 2024: 582-592 - [c46]Lingzhi Tang, Haibo Shao, Jinzhu Yang, Jiachen Xu, Jiao Li, Yong Feng, Jiayuan Liu, Song Sun, Qisen Wang:
Multi-Modal Learning for Predicting the Progression of Transarterial Chemoembolization Therapy in Hepatocellular Carcinoma. PRCV (14) 2024: 178-193 - [c45]Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning. WSDM 2024: 443-451 - [i7]Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane, Yih Chung Tham:
A Clinical-oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-quality Medical Images. CoRR abs/2404.04887 (2024) - [i6]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR abs/2405.09777 (2024) - [i5]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR abs/2407.05248 (2024) - [i4]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR abs/2407.21586 (2024) - 2023
- [j51]Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
A unified framework of graph structure learning, graph generation and classification for brain network analysis. Appl. Intell. 53(6): 6978-6991 (2023) - [j50]Mingjun Qu, Shitong Wang, Yonghuai Wang, Honghe Li, Lanting Zhao, Peng Cao, Jinzhu Yang:
FFANet - Full frequency attention net for automatic diastolic function assessment. Biomed. Signal Process. Control. 86(Part B): 105124 (2023) - [j49]Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang:
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis. Int. J. Comput. Assist. Radiol. Surg. 18(4): 663-673 (2023) - [j48]Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Exploiting task relationships for Alzheimer's disease cognitive score prediction via multi-task learning. Comput. Biol. Medicine 152: 106367 (2023) - [j47]Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane:
BrainTGL: A dynamic graph representation learning model for brain network analysis. Comput. Biol. Medicine 153: 106521 (2023) - [j46]Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine 154: 106587 (2023) - [j45]Honghe Li, Yonghuai Wang, Mingjun Qu, Peng Cao, Chaolu Feng, Jinzhu Yang:
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography. Comput. Biol. Medicine 156: 106705 (2023) - [j44]Qi Sun, Jinzhu Yang, Sizhe Zhao, Chen Chen, Yang Hou, Yuliang Yuan, Shuang Ma, Yan Huang:
LIVE-Net: Comprehensive 3D vessel extraction framework in CT angiography. Comput. Biol. Medicine 159: 106886 (2023) - [j43]Song Sun, Yonghuai Wang, Jinzhu Yang, Yong Feng, Lingzhi Tang, Shuo Liu, Hongxia Ning:
Topology-sensitive weighting model for myocardial segmentation. Comput. Biol. Medicine 165: 107286 (2023) - [j42]Yujie Jing, Chen Li, Tianming Du, Tao Jiang, Hongzan Sun, Jinzhu Yang, Liyu Shi, Minghe Gao, Marcin Grzegorzek, Xiaoyan Li:
A comprehensive survey of intestine histopathological image analysis using machine vision approaches. Comput. Biol. Medicine 165: 107388 (2023) - [j41]Qianqing Nie, Chen Li, Jinzhu Yang, Yudong Yao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek, Ao Chen, Haoyuan Chen, Weiming Hu, Rui Li, Jiawei Zhang, Danning Wang:
OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. Comput. Biol. Medicine 167: 107620 (2023) - [j40]Yan Huang, Jinzhu Yang, Yang Hou, Qi Sun, Shuang Ma, Chaolu Feng, Jin Shang:
Automatic prediction of acute coronary syndrome based on pericoronary adipose tissue and atherosclerotic plaques. Comput. Medical Imaging Graph. 108: 102264 (2023) - [j39]Haonan Wang, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation. Health Inf. Sci. Syst. 11(1): 10 (2023) - [j38]Qinghua Zhou, Wenjun Tan, Qingya Li, Baoting Li, Luyu Zhou, Xin Liu, Jinzhu Yang, Dazhe Zhao:
A new segment method for pulmonary artery and vein. Health Inf. Sci. Syst. 11(1): 47 (2023) - [j37]Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Exploring attention mechanism for graph similarity learning. Knowl. Based Syst. 276: 110739 (2023) - [j36]Kai Zhang, Zhaoyang Mao, Peng Cao, Wei Liang, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Label correlation guided borderline oversampling for imbalanced multi-label data learning. Knowl. Based Syst. 279: 110938 (2023) - [j35]Qi Sun, Jinzhu Yang, Shuang Ma, Yan Huang, Yuliang Yuan, Yang Hou:
3D vessel extraction using a scale-adaptive hybrid parametric tracker. Medical Biol. Eng. Comput. 61(9): 2467-2480 (2023) - [j34]Yong Feng, Yonghuai Wang, Honghe Li, Mingjun Qu, Jinzhu Yang:
Learning what and where to segment: A new perspective on medical image few-shot segmentation. Medical Image Anal. 87: 102834 (2023) - [j33]Chaolu Feng, Shuaizheng Chen, Dazhe Zhao, Jinzhu Yang:
Region based level sets for image segmentation: a brief comparative review with a fast model FREEST. Multim. Tools Appl. 82(24): 37065-37095 (2023) - [j32]Qingshan Hou, Peng Cao, Liyu Jia, Leqi Chen, Jinzhu Yang, Osmar R. Zaïane:
Image Quality Assessment Guided Collaborative Learning of Image Enhancement and Classification for Diabetic Retinopathy Grading. IEEE J. Biomed. Health Informatics 27(3): 1455-1466 (2023) - [j31]Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane:
Graph Self-Supervised Learning With Application to Brain Networks Analysis. IEEE J. Biomed. Health Informatics 27(8): 4154-4165 (2023) - [c44]Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
csl-MTFL: Multi-task Feature Learning with Joint Correlation Structure Learning for Alzheimer's Disease Cognitive Performance Prediction. ADMA (3) 2023: 48-62 - [c43]Kai Zhang, Wei Liang, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane:
Label Correlation Guided Feature Selection for Multi-label Learning. ADMA (4) 2023: 387-402 - [c42]Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning. ADMA (4) 2023: 470-485 - [c41]Weihao Dai, Chaolu Feng, Shuaizheng Chen, Wei Liu, Jinzhu Yang, Dazhe Zhao:
What will regularized continuous learning performs if it was used to medical image segmentation: a preliminary analysis. BIBM 2023: 1860-1863 - [c40]Changtai Li, Ruohui Jiang, Shihua Yin, Jinzhu Yang, Xiaojuan Ban:
Self-Supervised Rotation Learning for 3D Segmentation on Nasopharyngeal Carcinoma MRI Images. BIBM 2023: 3529-3534 - [c39]Tianming Du, Chen Li, Tao Jiang, Jinzhu Yang, Marcin Grzegorzek, Hongzan Sun:
Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. IEEE Big Data 2023: 4392-4396 - [c38]Shanchuan Huang, Hongwei Lei, Liuhan Jin, Jinzhu Yang, Tao Jiang, Yudong Yao, Marcin Grzegorzek, Chen Li:
Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. IEEE Big Data 2023: 4424-4431 - [c37]Hechen Yang, Jinzhu Yang, Tao Jiang, Xin Zhao, Jinghua Zhang, Peng Zhao, Ao Chen, Qianqing Nie, Marcin Grzegorzek, Chen Li:
ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. IEEE Big Data 2023: 4466-4474 - [c36]Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI 2023: 4199-4207 - [c35]Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang:
BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis. MICCAI (8) 2023: 205-214 - [c34]Wei Liang, Kai Zhang, Peng Cao, Pengfei Zhao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks. MICCAI (1) 2023: 310-319 - [c33]Shuai Cheng, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
Lesion-Aware Contrastive Learning for Diabetic Retinopathy Diagnosis. MICCAI (7) 2023: 671-681 - [c32]Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
A Reference-free Self-supervised Domain Adaptation Framework for Low-quality Fundus Image Enhancement. ACM Multimedia 2023: 7383-7393 - [i3]Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR abs/2301.04465 (2023) - [i2]Qingshan Hou, Peng Cao, Jiaqi Wang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement. CoRR abs/2301.06943 (2023) - [i1]Haonan Wang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentation. CoRR abs/2312.15182 (2023) - 2022
- [j30]Weidong Xie, Wei Li, Shoujia Zhang, Linjie Wang, Jinzhu Yang, Dazhe Zhao:
A novel biomarker selection method combining graph neural network and gene relationships applied to microarray data. BMC Bioinform. 23(1): 303 (2022) - [j29]Yan Huang, Jinzhu Yang, Qi Sun, Shuang Ma, Yuliang Yuan, Wenjun Tan, Peng Cao, Chaolu Feng:
Vessel filtering and segmentation of coronary CT angiographic images. Int. J. Comput. Assist. Radiol. Surg. 17(10): 1879-1890 (2022) - [j28]Hongtuo Lin, Chufan Jian, Yang Cao, Xiaoguang Ma, Hailiang Wang, Fen Miao, Xiaomao Fan, Jinzhu Yang, Gansen Zhao, Hui Zhou:
MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals. Comput. Biol. Medicine 140: 105039 (2022) - [j27]Haowen Dou, Jie Tan, Huiling Wei, Fei Wang, Jinzhu Yang, Xiaoguang Ma, Jiaqi Wang, Teng Zhou:
Transfer inhibitory potency prediction to binary classification: A model only needs a small training set. Comput. Methods Programs Biomed. 215: 106633 (2022) - [j26]Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis. Comput. Methods Programs Biomed. 219: 106772 (2022) - [j25]Wenjun Tan, Pan Liu, Xiaoshuo Li, Shaoxun Xu, Yufei Chen, Jinzhu Yang:
Segmentation of lung airways based on deep learning methods. IET Image Process. 16(5): 1444-1456 (2022) - [j24]Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Modeling the dynamic brain network representation for autism spectrum disorder diagnosis. Medical Biol. Eng. Comput. 60(7): 1897-1913 (2022) - [j23]Lanting Li, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Modeling global and local label correlation with graph convolutional networks for multi-label chest X-ray image classification. Medical Biol. Eng. Comput. 60(9): 2567-2588 (2022) - [j22]Shuang Ma, Chaolu Feng, Jinzhu Yang, Qi Sun, Yuliang Yuan, Yan Huang, Wenjun Tan:
Abdominal vessel segmentation using vessel model embedded fuzzy C-means and similarity from CT angiography. Medical Biol. Eng. Comput. 60(11): 3325-3340 (2022) - [j21]Mingjun Qu, Yonghuai Wang, Honghe Li, Jinzhu Yang, Chunyan Ma:
Automatic identification of septal flash phenomenon in patients with complete left bundle branch block. Medical Image Anal. 82: 102619 (2022) - [j20]Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis. Neuroinformatics 20(2): 353-375 (2022) - 2021
- [j19]Junchi Lu, Chaolu Feng, Jinzhu Yang, Wei Li, Dazhe Zhao, Chao Wan:
Segmentation of the cardiac ventricle using two layer level sets with prior shape constraint. Biomed. Signal Process. Control. 68: 102671 (2021) - [j18]Wei Liang, Kai Zhang, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane:
Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network. Comput. Biol. Medicine 138: 104935 (2021) - [j17]Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao, Osmar R. Zaïane:
MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT. Comput. Medical Imaging Graph. 92: 101957 (2021) - [j16]Shuang Ma, Jinzhu Yang, Qi Sun, Yuliang Yuan, Yan Huang:
The lumbar region localization using bone anatomy feature graphs. Medical Biol. Eng. Comput. 59(11): 2419-2432 (2021) - [c31]Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane:
Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks. BIBM 2021: 1270-1275 - [c30]Peng Cao, Wei Liang, Kai Zhang, Shanshan Tang, Jinzhu Yang:
Joint feature and task aware multi-task feature learning for Alzheimer's disease diagnosis. BIBM 2021: 2643-2650 - [c29]Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu:
Entity and Relation Matching Consensus for Entity Alignment. CIKM 2021: 2331-2341 - [c28]Jinzhu Yang, Wei Zhou, Wanhui Qian, Jizhong Han, Songlin Hu:
Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data. ICASSP 2021: 2590-2594 - [c27]Wanhui Qian, Fuqing Zhu, Jinzhu Yang, Jizhong Han, Songlin Hu:
Aligning the training and evaluation of unsupervised text style Transfer. ICASSP 2021: 7568-7572 - [c26]Wanhui Qian, Jinzhu Yang, Fuqing Zhu, Yipeng Su, Songlin Hu:
Unsupervised Text Style Transfer via an Enhanced Operation Pipeline. ICCS (2) 2021: 104-117 - [c25]Wanhui Qian, Jinzhu Yang, Songlin Hu:
Discovering the Style Information in Texts via A Reinforced Decision Process. IJCNN 2021: 1-8 - 2020
- [j15]Hao Jiang, Peng Cao, MingYi Xu, Jinzhu Yang, Osmar R. Zaïane:
Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction. Comput. Biol. Medicine 127: 104096 (2020) - [j14]Jinzhu Yang, Chunhui Lou, Jie Fu, Chaolu Feng:
Vessel segmentation using multiscale vessel enhancement and a region based level set model. Comput. Medical Imaging Graph. 85: 101783 (2020) - [j13]Chaolu Feng, Jinzhu Yang, Chunhui Lou, Wei Li, Kun Yu, Dazhe Zhao:
A Global Inhomogeneous Intensity Clustering- (GINC-) Based Active Contour Model for Image Segmentation and Bias Correction. Comput. Math. Methods Medicine 2020: 7595174:1-7595174:18 (2020) - [j12]Jinzhu Yang, Mingxu Huang, Jie Fu, Chunhui Lou, Chaolu Feng:
Frangi based multi-scale level sets for retinal vascular segmentation. Comput. Methods Programs Biomed. 197: 105752 (2020) - [c24]Ruoxian Song, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A Domain Adaptation Multi-instance Learning for Diabetic Retinopathy Grading on Retinal Images. BIBM 2020: 743-750 - [c23]Lanting Li, Peng Cao, Jinzhu Yang, Dazhe Zhao, Osmar R. Zaïane:
A robust fuzzy clustering algorithm using spatial information combined with local membership filtering for brain MR images. BIBM 2020: 1987-1994 - [c22]Jinzhu Yang, Wei Zhou, Lingwei Wei, Junyu Lin, Jizhong Han, Songlin Hu:
RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs. DASFAA (2) 2020: 432-447 - [c21]Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. ISICDM 2020: 14-18 - [c20]Bo Wu, Peng Cao, Jinzhu Yang, Qi Yang, Chengxi Yan, Wenxin Wang, Minglei Yang, Lili Dou:
Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images. ISICDM 2020: 86-90 - [c19]Hualin Yang, Shuxu Guo, Kan He, Jinzhu Yang, Yu Guo, Yunhai Qiu, Huimao Zhang, Xueyan Li:
Computed Tomography for Preoperative Colorectal Staging Prediction Based on Deep Multi-task Learning: Colorectal Staging Prediction Based on Deep Multi-task Learning. ISICDM 2020: 95-98 - [c18]Junyi Yan, Jinzhu Yang, Wenjun Tan, Peng Cao, Lili Dou, Dazhe Zhao:
An atlas based level set method for 3D brain structures segmentation. ISICDM 2020: 104-107 - [c17]Meihan Fu, Ying Hu, Jinzhu Yang:
Liver vessel segmentation based on densely connected three-dimensional fully convolutional neural network. ISICDM 2020: 112-116 - [c16]Yafang Chen, Peng Cao, Lili Dou, Jinzhu Yang:
An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. ISICDM 2020: 156-162 - [c15]Chunyu Jiang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease. ISICDM 2020: 168-172
2010 – 2019
- 2019
- [j11]Guangkun Ma, Jinzhu Yang, Youqun Huang, Hong Zhao:
A Novel Automatic Coronary Artery Segmentation Method Based on Region Growing with Annular and Spherical Sector Partition. J. Medical Imaging Health Informatics 9(1): 148-152 (2019) - [j10]Yanfei Wang, Yanfa He, Yan Kang, Jinzhu Yang:
Automatic Gradient Pre-Emphasis Adjustment for Permanent MRI System. J. Medical Imaging Health Informatics 9(9): 1966-1970 (2019) - [c14]Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
Feature-aware Multi-task feature learning for Predicting Cognitive Outcomes in Alzheimer's disease. BIBM 2019: 1-5 - [c13]Peng Cao, Shanshan Tang, Min Huang, Jinzhu Yang, Dazhe Zhao, Amine Trabelsi, Osmar R. Zaïane:
An ensemble framework with $l_{21}$-norm regularized hypergraph laplacian multi-label learning for clinical data prediction. BIBM 2019: 1436-1442 - [c12]