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Shouliang Qi
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2020 – today
- 2024
- [j52]Caiwen Xu, Jie Feng, Yong Yue, Wanjun Cheng, Dianning He, Shouliang Qi, Guojun Zhang:
A hybrid few-shot multiple-instance learning model predicting the aggressiveness of lymphoma in PET/CT images. Comput. Methods Programs Biomed. 243: 107872 (2024) - [j51]Shuai Bian, Shouliang Qi, Chen Li, Yudong Yao, Yueyang Teng:
NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing. Circuits Syst. Signal Process. 43(8): 5191-5210 (2024) - [j50]Yifu Li, Xueping Yang, Meng Zhao, Zihao Wang, Yudong Yao, Wei Qian, Shouliang Qi:
FPT-Former: A Flexible Parallel Transformer of Recognizing Depression by Using Audiovisual Expert-Knowledge-Based Multimodal Measures. Int. J. Intell. Syst. 2024: 1-13 (2024) - [j49]Eric Jacob Bacon, Dianning He, N'bognon Angèle D'avilla Achi, Lanbo Wang, Han Li, Patrick Dê Zélèman Yao-Digba, Patrice Monkam, Shouliang Qi:
Neuroimage analysis using artificial intelligence approaches: a systematic review. Medical Biol. Eng. Comput. 62(9): 2599-2627 (2024) - 2023
- [j48]Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage contextual transformer-based convolutional neural network for airway extraction from CT images. Artif. Intell. Medicine 143: 102637 (2023) - [j47]Haoming Zhuang, Aritrick Chatterjee, Xiaobing Fan, Shouliang Qi, Wei Qian, Dianning He:
A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest. BMC Medical Imaging 23(1): 205 (2023) - [j46]Yanan Wu, Ran Du, Jie Feng, Shouliang Qi, Haowen Pang, Shuyue Xia, Wei Qian:
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field. Biomed. Signal Process. Control. 79(Part): 104162 (2023) - [j45]Meihuan Wang, Shouliang Qi, Yanan Wu, Yu Sun, Runsheng Chang, Haowen Pang, Wei Qian:
CE-NC-VesselSegNet: Supervised by contrast-enhanced CT images but utilized to segment pulmonary vessels from non-contrast-enhanced CT images. Biomed. Signal Process. Control. 82: 104565 (2023) - [j44]Yanan Wu, Qianqian Qi, Shouliang Qi, Liming Yang, Hanlin Wang, Hui Yu, Jianpeng Li, Gang Wang, Ping Zhang, Zhenyu Liang, Rongchang Chen:
Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans. Comput. Biol. Medicine 154: 106567 (2023) - [j43]Shannan Chen, Jinfeng Duan, Nan Zhang, Miao Qi, Jinze Li, Hong Wang, Rongqiang Wang, Ronghui Ju, Yang Duan, Shouliang Qi:
MSA-YOLOv5: Multi-scale attention-based YOLOv5 for automatic detection of acute ischemic stroke from multi-modality MRI images. Comput. Biol. Medicine 165: 107471 (2023) - [j42]Haowen Pang, Shouliang Qi, Yanan Wu, Meihuan Wang, Chen Li, Yu Sun, Wei Qian, Guoyan Tang, Jiaxuan Xu, Zhenyu Liang, Rongchang Chen:
NCCT-CECT image synthesizers and their application to pulmonary vessel segmentation. Comput. Methods Programs Biomed. 231: 107389 (2023) - [j41]Can Tong, Jiao Wei, Shouliang Qi, Yudong Yao, Tie Zhang, Yueyang Teng:
A majorization-minimization based solution to penalized nonnegative matrix factorization with orthogonal regularization. J. Comput. Appl. Math. 421: 114877 (2023) - [j40]Yanan Wu, Shouliang Qi, Meihuan Wang, Shuiqing Zhao, Haowen Pang, Jiaxuan Xu, Long Bai, Hongliang Ren:
Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images. Medical Biol. Eng. Comput. 61(10): 2649-2663 (2023) - [j39]Yanan Wu, Haowen Pang, Jing Shen, Shouliang Qi, Jie Feng, Yong Yue, Wei Qian, Jianlin Wu:
Depicting and predicting changes of lung after lobectomy for cancer by using CT images. Medical Biol. Eng. Comput. 61(11): 3049-3066 (2023) - [j38]Yonghui Wang, Yifan Zhang, Lisheng Xu, Shouliang Qi, Yudong Yao, Wei Qian, Stephen E. Greenwald, Lin Qi:
TSP-UDANet: two-stage progressive unsupervised domain adaptation network for automated cross-modality cardiac segmentation. Neural Comput. Appl. 35(30): 22189-22207 (2023) - [j37]Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng:
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5381-5391 (2023) - [c10]Zhuohui Cui, Kai Nie, Shouliang Qi, Che Hou, Wenjie Chen:
A Robust Gray-code Pattern Decoding Method for 3D Scanning with Structured Light. ICCVIT 2023: 9:1-9:5 - [i8]Shuai Bian, Shouliang Qi, Chen Li, Yudong Yao, Yueyang Teng:
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing. CoRR abs/2305.03899 (2023) - [i7]Haoming Zhuang, Beibei Li, Jingtong Ma, Patrice Monkam, Shouliang Qi, Wei Qian, Dianning He:
An attention-based deep learning network for predicting Platinum resistance in ovarian cancer. CoRR abs/2311.04769 (2023) - 2022
- [j36]Kai Zhang, Shouliang Qi, Jiumei Cai, Dan Zhao, Tao Yu, Yong Yue, Yudong Yao, Wei Qian:
Content-based image retrieval with a Convolutional Siamese Neural Network: Distinguishing lung cancer and tuberculosis in CT images. Comput. Biol. Medicine 140: 105096 (2022) - [j35]Qianqian Qi, Shouliang Qi, Yanan Wu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu:
Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. Comput. Biol. Medicine 141: 105182 (2022) - [j34]Haowen Pang, Yanan Wu, Shouliang Qi, Chen Li, Jing Shen, Yong Yue, Wei Qian, Jianlin Wu:
A fully automatic segmentation pipeline of pulmonary lobes before and after lobectomy from computed tomography images. Comput. Biol. Medicine 147: 105792 (2022) - [j33]Shannan Chen, Jinfeng Duan, Hong Wang, Rongqiang Wang, Jinze Li, Miao Qi, Yang Duan, Shouliang Qi:
Automatic detection of stroke lesion from diffusion-weighted imaging via the improved YOLOv5. Comput. Biol. Medicine 150: 106120 (2022) - [j32]Haonan Sun, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng:
Improving the level of autism discrimination with augmented data by GraphRNN. Comput. Biol. Medicine 150: 106141 (2022) - [j31]Baihua Zhang, Shouliang Qi, Yanan Wu, Xiaohuan Pan, Yudong Yao, Wei Qian, Yubao Guan:
Multi-scale segmentation squeeze-and-excitation UNet with conditional random field for segmenting lung tumor from CT images. Comput. Methods Programs Biomed. 222: 106946 (2022) - [j30]Qiyuan Song, Shouliang Qi, Chaoyang Jin, Lei Yang, Wei Qian, Yi Yin, Houyu Zhao, Hui Yu:
Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation. Frontiers Comput. Neurosci. 16: 825160 (2022) - [j29]Disen Li, Limin Ma, Jining Li, Shouliang Qi, Yudong Yao, Yueyang Teng:
A comprehensive survey on deep learning techniques in CT image quality improvement. Medical Biol. Eng. Comput. 60(10): 2757-2770 (2022) - [c9]Epimack Michael, He Ma, Shouliang Qi:
Breast Tumor Segmentation in Ultrasound Images Based on U-NET Model. ICR 2022: 22-31 - [i6]Haonan Sun, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng:
Improving the Level of Autism Discrimination through GraphRNN Link Prediction. CoRR abs/2202.09538 (2022) - [i5]Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, Yudong Yao, Yueyang Teng:
Subspace Nonnegative Matrix Factorization for Feature Representation. CoRR abs/2204.08382 (2022) - [i4]Liyu Shi, Xiaoyan Li, Weiming Hu, Haoyuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li:
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. CoRR abs/2212.00532 (2022) - [i3]Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren:
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images. CoRR abs/2212.07651 (2022) - 2021
- [j28]Yu Wang, Xinke Ge, He Ma, Shouliang Qi, Guanjing Zhang, Yudong Yao:
Deep Learning in Medical Ultrasound Image Analysis: A Review. IEEE Access 9: 54310-54324 (2021) - [j27]Yueyang Teng, Shouliang Qi, Fangfang Han, Lisheng Xu, Yudong Yao, Wei Qian:
Two graph-regularized fuzzy subspace clustering methods. Appl. Soft Comput. 100: 106981 (2021) - [j26]Shouliang Qi, Caiwen Xu, Chen Li, Bin Tian, Shuyue Xia, Jigang Ren, Liming Yang, Hanlin Wang, Hui Yu:
DR-MIL: deep represented multiple instance learning distinguishes COVID-19 from community-acquired pneumonia in CT images. Comput. Methods Programs Biomed. 211: 106406 (2021) - [i2]Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Tao Jiang, Hongzan Sun, Yueyang Teng, Shouliang Qi, Xinyu Huang, Marcin Grzegorzek:
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. CoRR abs/2110.07723 (2021) - [i1]Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, Yudong Yao, Yueyang Teng:
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation. CoRR abs/2111.14007 (2021) - 2020
- [j25]Ran Du, Shouliang Qi, Jie Feng, Shuyue Xia, Yan Kang, Wei Qian, Yu-Dong Yao:
Identification of COPD From Multi-View Snapshots of 3D Lung Airway Tree via Deep CNN. IEEE Access 8: 38907-38919 (2020) - [j24]Md Mamunur Rahaman, Chen Li, Xiangchen Wu, Yudong Yao, Zhijie Hu, Tao Jiang, Xiaoyan Li, Shouliang Qi:
A Survey for Cervical Cytopathology Image Analysis Using Deep Learning. IEEE Access 8: 61687-61710 (2020) - [j23]Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yudong Yao, Shiliang Ai, Changhao Sun, Qian Wang, Yong Zhang, Mo Li, Xiaoyan Li, Tao Jiang, Dan Xue, Shouliang Qi, Yueyang Teng:
A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks. IEEE Access 8: 90931-90956 (2020) - [j22]Dan Xue, Xiaomin Zhou, Chen Li, Yudong Yao, Md Mamunur Rahaman, Jinghua Zhang, Hao Chen, Jinpeng Zhang, Shouliang Qi, Hongzan Sun:
An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification. IEEE Access 8: 104603-104618 (2020) - [j21]Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang:
Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos. IEEE Access 8: 114519-114540 (2020) - [j20]Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng:
An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data. IEEE Access 8: 187455-187469 (2020) - [j19]Chen Li, Hao Chen, Xiaoyan Li, Ning Xu, Zhijie Hu, Dan Xue, Shouliang Qi, He Ma, Le Zhang, Hongzan Sun:
A review for cervical histopathology image analysis using machine vision approaches. Artif. Intell. Rev. 53(7): 4821-4862 (2020) - [j18]Yueyang Teng, Shouliang Qi, Fangfang Han, Yudong Yao, Fenglei Fan, Qing Lyu, Ge Wang:
A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. Neurocomputing 387: 78-90 (2020) - [j17]Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang:
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging 33(3): 685-696 (2020) - [c8]Chen Li, Jiawei Zhang, Frank Kulwa, Shouliang Qi, Ziyu Qi:
A SARS-CoV-2 Microscopic Image Dataset with Ground Truth Images and Visual Features. PRCV (1) 2020: 244-255
2010 – 2019
- 2019
- [j16]Patrice Monkam, Shouliang Qi, Mingjie Xu, Haoming Li, Fangfang Han, Yueyang Teng, Wei Qian:
Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images. IEEE Access 7: 5564-5576 (2019) - [j15]Patrice Monkam, Shouliang Qi, He Ma, Weiming Gao, Yu-Dong Yao, Wei Qian:
Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey. IEEE Access 7: 78075-78091 (2019) - [j14]Chen Li, Fanjie Kong, Kai Wang, Aidong Xu, Gexiang Zhang, Ning Xu, Zhihua Liu, Haifeng Guo, Xue Wang, Kuan Liang, Jianying Yuan, Shouliang Qi, Tao Jiang:
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework. IEEE Access 7: 97216-97241 (2019) - [j13]Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng:
A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential. IEEE Access 7: 100243-100269 (2019) - [j12]Baihua Zhang, Shouliang Qi, Patrice Monkam, Chen Li, Fan Yang, Yu-Dong Yao, Wei Qian:
Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images. IEEE Access 7: 110358-110371 (2019) - [j11]Lin Qi, Haoran Zhang, Wenjun Tan, Shouliang Qi, Lisheng Xu, Yudong Yao, Wei Qian:
Cascaded Conditional Generative Adversarial Networks With Multi-Scale Attention Fusion for Automated Bi-Ventricle Segmentation in Cardiac MRI. IEEE Access 7: 172305-172320 (2019) - [j10]Yueyang Teng, Yudong Yao, Shouliang Qi, Chen Li, Lisheng Xu, Wei Qian, Fenglei Fan, Ge Wang:
A novel framework for the NMF methods with experiments to unmixing signals and feature representation. J. Comput. Appl. Math. 362: 205-218 (2019) - [j9]Yueyang Teng, Yichao Liu, Jinliang Yang, Chen Li, Shouliang Qi, Yan Kang, Fenglei Fan, Ge Wang:
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. Neural Process. Lett. 50(1): 247-262 (2019) - [c7]Chen Li, Hao Chen, Dan Xue, Zhijie Hu, Le Zhang, Liangzi He, Ning Xu, Shouliang Qi, He Ma, Hongzan Sun:
Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields. ITIB 2019: 209-221 - [c6]Fangfang Han, Linkai Yan, Chen Li, Shouliang Qi, William Moore, Zhengrong Liang, Wei Qian:
Predicting unnecessary nodule biopsy for a small lung cancer screening dataset by less-abstractive deep features. Medical Imaging: Computer-Aided Diagnosis 2019: 109503Q - [c5]Xinzhuo Zhao, Wenqing Sun, Wei Qian, Shouliang Qi, Jianjun Sun, Bo Zhang, Zhigang Yang:
Fine-grained lung nodule segmentation with pyramid deconvolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2019: 109503S - 2018
- [j8]Guohui Wei, He Ma, Wei Qian, Fangfang Han, Hongyang Jiang, Shouliang Qi, Min Qiu:
Lung nodule classification using local kernel regression models with out-of-sample extension. Biomed. Signal Process. Control. 40: 1-9 (2018) - [j7]Xinzhuo Zhao, Liyao Liu, Shouliang Qi, Yueyang Teng, Jianhua Li, Wei Qian:
Agile convolutional neural network for pulmonary nodule classification using CT images. Int. J. Comput. Assist. Radiol. Surg. 13(4): 585-595 (2018) - [j6]Shouliang Qi, Qingjun Gao, Jing Shen, Yueyang Teng, Xuan Xie, Yueji Sun, Jianlin Wu:
Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder. Frontiers Comput. Neurosci. 12: 64 (2018) - [j5]Guohui Wei, Hui Cao, He Ma, Shouliang Qi, Wei Qian, Zhiqing Ma:
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric. J. Medical Syst. 42(1): 13:1-13:7 (2018) - [j4]Shouliang Qi, Baihua Zhang, Yong Yue, Jing Shen, Yueyang Teng, Wei Qian, Jianlin Wu:
Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method. J. Medical Syst. 42(4): 65 (2018) - [c4]Chen Li, Ning Xu, Tao Jiang, Shouliang Qi, Fangfang Han, Wei Qian, Xin Zhao:
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks. ITIB 2018: 3-14 - 2017
- [j3]Shouliang Qi, Baihua Zhang, Yueyang Teng, Jianhua Li, Yong Yue, Yan Kang, Wei Qian:
Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi? Comput. Math. Methods Medicine 2017: 1969023:1-1969023:14 (2017) - [j2]Yueyang Teng, Shouliang Qi, Yin Dai, Lisheng Xu, Wei Qian, Yan Kang:
Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction. Neural Process. Lett. 45(3): 1063-1076 (2017) - 2016
- [j1]Shouliang Qi, Stephan P. L. Meesters, Klaas Nicolay, Bart M. ter Haar Romeny, Pauly P. W. Ossenblok:
Structural Brain Network: What is the Effect of LiFE Optimization of Whole Brain Tractography? Frontiers Comput. Neurosci. 10: 12 (2016) - [c3]Jianhua Li, Yueyang Teng, Shouliang Qi, Dayu Xiao, Lisheng Xu, Yan Kang, Jesse Li-Ling:
Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view. ICIA 2016: 702-706 - 2011
- [c2]Weijie Ji, Shouliang Qi, Jingshu Zhang, Yan Kang:
New efforts to quantitative T2-mapping imaging. BMEI 2011: 413-417 - [c1]Han J. W. van Triest, Danqi Chen, Xinglai Ji, Shouliang Qi, Jesse Li-Ling:
PhenOMIM: An OMIM-based secondary database purported for phenotypic comparison. EMBC 2011: 3589-3592
Coauthor Index
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last updated on 2024-10-07 01:25 CEST by the dblp team
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