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2020 – today
- 2025
[e3]Jia Wu, Wenjian Qin, Chao Li, Boklye Kim:
Computational Mathematics Modeling in Cancer Analysis - Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15181, Springer 2025, ISBN 978-3-031-73359-8 [contents]- 2024
- [j28]Shuaiqiang Gao, Yunliang Chen, Ningning Cui, Wenjian Qin
:
Enhancing object detection in low-resolution images via frequency domain learning. Array 22: 100342 (2024) - [j27]Luyu Tang, Songhui Diao, Chao Li, Miaoxia He, Kun Ru, Wenjian Qin:
Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images. Comput. Medical Imaging Graph. 115: 102378 (2024) - [j26]Xiang Liu, Wanming Hu, Songhui Diao, Deboch Eyob Abera, Daniel Racoceanu, Wenjian Qin:
Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images. Comput. Methods Programs Biomed. 248: 108116 (2024) - [j25]Bing Xiong, Yue Peng, Jingke Zhu, Jia Gu, Zhen Chen, Wenjian Qin:
AGWNet: Attention-guided adaptive shuffle channel gate warped feature network for indoor scene RGB-D semantic segmentation. Displays 83: 102730 (2024) - [j24]Songhui Diao, Xiang Liu, Xuan Liu, Boyun Zheng, Jiahui He, Yaoqin Xie, Wenjian Qin:
Self-supervised multi-magnification feature enhancement for segmentation of hepatocellular carcinoma region in pathological images. Eng. Appl. Artif. Intell. 133: 108335 (2024) - [j23]Boyun Zheng, Ranran Zhang, Songhui Diao, Jingke Zhu, Yixuan Yuan, Jing Cai, Liang Shao, Shuo Li, Wenjian Qin:
Dual domain distribution disruption with semantics preservation: Unsupervised domain adaptation for medical image segmentation. Medical Image Anal. 97: 103275 (2024) - [j22]Zhuowen Zheng, Jiahui He, Jia Gu, Zhen Chen, Wenjian Qin:
Saliency-guided stairs detection on wearable RGB-D devices for visually impaired persons with Swin-Transformer. Pattern Recognit. Lett. 177: 47-53 (2024) - [j21]Wenjian Qin, Tianming Liu, Fa Zhang:
Guest Editorial Computational Mathematics Modeling in Cancer Analysis. IEEE J. Biomed. Health Informatics 28(1): 4-6 (2024) - [c20]Nazar Zaki, Anusuya Krishnan, Rafat Damseh, Wenjian Qin, Ayham Zaitouny, Isaias Ghebrehiwet:
Evaluating the Segmentation Performance of Gross Volume Tumor in Cervical Cancer Using MRI Images. CIBCB 2024: 1-5 - [c19]Lixue Qin, Zhibo Xiao, Nazar Zaki, Yaoqin Xie, Wenjian Qin:
Improving Single-Source Domain Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor Segmentation. CMMCA@MICCAI 2024: 70-79 - [c18]Zhanghao Chen, Yifei Sun, Ruiquan Ge, Wenjian Qin, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang:
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models From Chest X-Ray Images. ISBI 2024: 1-5 - [c17]Luyu Tang, Kun Ru, Wenjian Qin:
Context-Aware Representation Learning for Hepatocellular Carcinoma Prognosis in Whole Slide Images. ISBI 2024: 1-5 - [c16]Fuqiang Chen, Ranran Zhang, Boyun Zheng, Yiwen Sun, Jiahui He, Wenjian Qin:
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining. MICCAI (4) 2024: 384-394 - [i5]Fuqiang Chen, Ranran Zhang, Boyun Zheng, Yiwen Sun, Jiahui He, Wenjian Qin:
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining. CoRR abs/2407.03655 (2024) - 2023
- [j20]Nazar Zaki, Wenjian Qin, Anusuya Krishnan:
Graph-based methods for cervical cancer segmentation: Advancements, limitations, and future directions. AI Open 4: 42-55 (2023) - [j19]Qingpei Lai, Xiang Liu, Fan Yang, Jie Li, Yaoqin Xie, Wenjian Qin:
Constructing metabolism-protein interaction relationship to identify glioma prognosis using deep learning. Comput. Biol. Medicine 158: 106875 (2023) - [j18]Songhui Diao, Weiren Luo, Jiaxin Hou, Ricardo Lambo, Hamas A. AL-kuhali, Hanqing Zhao, Yinli Tian, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Deep Multi-Magnification Similarity Learning for Histopathological Image Classification. IEEE J. Biomed. Health Informatics 27(3): 1535-1545 (2023) - [j17]Yinli Tian, Wenjian Qin, Fei Xue, Ricardo Lambo, Meiyan Yue, Songhui Diao, Lequan Yu, Yaoqin Xie, Hailin Cao, Shuo Li:
ARR-GCN: Anatomy-Relation Reasoning Graph Convolutional Network for Automatic Fine-Grained Segmentation of Organ's Surgical Anatomy. IEEE J. Biomed. Health Informatics 27(7): 3258-3269 (2023) - [c15]Ruodai Wu, Yue Peng, Bing Xiong, Wenjian Qin, Songxiong Wu:
Shape-Aware Diffusion Model for Tumor Segmentation on Gd-EOB-DTPA MRI Images of Hepatocellular Carcinoma. CMMCA@MICCAI 2023: 131-139 - [c14]Boyun Zheng, Jiahui He, Jiuhe Zhu, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Style Enhanced Domain Adaptation Neural Network for Cross-Modality Cervical Tumor Segmentation. CMMCA@MICCAI 2023: 140-149 - [c13]Wen Li, Dan Zhao, Zhi Chen, Zhou Huang, Saikit Lam, Yaoqin Xie, Wenjian Qin, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai, Tian Li:
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma. MICCAI (7) 2023: 541-550 - [e2]Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang, Chao Li:
Computational Mathematics Modeling in Cancer Analysis - Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14243, Springer 2023, ISBN 978-3-031-45086-0 [contents] - [i4]Zhanghao Chen, Yifei Sun, Wenjian Qin, Ruiquan Ge, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang:
BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images. CoRR abs/2311.15328 (2023) - 2022
- [j16]Yinli Tian, Peiwei Sun, Fei Xue, Ricardo Lambo, Meiyan Yue, Chao An, Songhui Diao, Jianping Lv, Yaoqin Xie, Peng Gong, Hailin Cao, Wenjian Qin:
Class center attention network with spatial adaption for enhancing hepatic segments classification with low-visibility vascular. Displays 72: 102151 (2022) - [j15]Wenjian Qin, Fabio Dovis:
Situational Awareness of Chirp Jamming Threats to GNSS Based on Supervised Machine Learning. IEEE Trans. Aerosp. Electron. Syst. 58(3): 1707-1720 (2022) - [c12]Meiyan Yue, Zhenhui Dai, Jiahui He, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
MRI-guided Automated Delineation of Gross Tumor Volume for Nasopharyngeal Carcinoma using Deep Learning. CBMS 2022: 292-296 - [c11]Xinran Wu, Ming Cui, Yuhua Gao, Deyu Sun, He Ma, Erlei Zhang, Yaoqin Xie, Nazar Zaki, Wenjian Qin:
Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy. CMMCA@MICCAI 2022: 131-140 - [c10]Songhui Diao, Luyu Tang, Jiahui He, Hanqing Zhao, Weiren Luo, Yaoqin Xie, Wenjian Qin:
Automatic Computer-Aided Histopathologic Segmentation for Nasopharyngeal Carcinoma Using Transformer Framework. CMMCA@MICCAI 2022: 141-149 - [e1]Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang:
Computational Mathematics Modeling in Cancer Analysis - First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13574, Springer 2022, ISBN 978-3-031-17265-6 [contents] - [i3]Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie, Xiaokun Liang:
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images. CoRR abs/2208.07655 (2022) - 2021
- [j14]Yang Liu, Jiaxin Hou, Zhijun Zhu, Bingguang Liu, Manrui Cao, Wenjian Qin:
Assessment of breast arteries and lymph nodes by 3D MR angiography enhancement imaging: feasibility and pilot clinical results. BMC Medical Imaging 21(1): 97 (2021) - [j13]Zhicheng Zhang, Shaode Yu, Wenjian Qin, Xiaokun Liang, Yaoqin Xie, Guohua Cao:
Self-supervised CT super-resolution with hybrid model. Comput. Biol. Medicine 138: 104775 (2021) - [j12]Ken Chen, Wenjian Qin, Yaoqin Xie, Shoujun Zhou:
Towards real time guide wire shape extraction in fluoroscopic sequences: A two phase deep learning scheme to extract sparse curvilinear structures. Comput. Medical Imaging Graph. 94: 101989 (2021) - [j11]Yinli Tian, Fei Xue, Ricardo Lambo, Jiahui He, Chao An, Yaoqin Xie, Hailin Cao, Wenjian Qin:
Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation. Comput. Methods Programs Biomed. 200: 105818 (2021) - [j10]Yi Xue, Wenjian Qin, Chen Luo, Pengfei Yang, Yangkang Jiang, Tiffany Tsui, Hongjian He, Li Wang, Jiale Qin, Yaoqin Xie, Tianye Niu:
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint. IEEE Trans. Medical Imaging 40(5): 1303-1318 (2021) - 2020
- [j9]Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Shaode Yu, Yaoqin Xie:
matFR: a MATLAB toolbox for feature ranking. Bioinform. 36(19): 4968-4969 (2020) - [j8]Wenjian Qin, Micaela Troglia Gamba, Emanuela Falletti, Fabio Dovis:
An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver. IEEE Trans. Aerosp. Electron. Syst. 56(5): 4067-4082 (2020) - [j7]Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Guanglei Zhang, Bin Han, Max Q.-H. Meng, Lei Xing:
Densely Connected Neural Network With Unbalanced Discriminant and Category Sensitive Constraints for Polyp Recognition. IEEE Trans Autom. Sci. Eng. 17(2): 574-583 (2020) - [c9]Fabio Dovis, Rayan Imam, Wenjian Qin, Caner Savas, Hans Visser:
Opportunistic use of GNSS Signals to Characterize the Environment by Means of Machine Learning Based Processing. ICASSP 2020: 9190-9194 - [c8]Wenjian Qin, Zhibo Xiao, Yaoqin Xie, Yixuan Yuan:
Self-Paced Learning for Automatic Prostate Segmentation on MR Images with Hierarchical Boundary Sensitive Network. RCAR 2020: 321-326 - [i2]Shaode Yu, Zhicheng Zhang, Xiaokun Liang, Junjie Wu, Erlei Zhang, Wenjian Qin, Yaoqin Xie:
A Matlab Toolbox for Feature Importance Ranking. CoRR abs/2003.08737 (2020) - [i1]Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi:
Elastic Net based Feature Ranking and Selection. CoRR abs/2012.14982 (2020)
2010 – 2019
- 2019
- [j6]Wei Zhao, Dengwang Li, Kai Niu, Wenjian Qin, Hao Peng, Tianye Niu:
Robust Beam Hardening Artifacts Reduction for Computed Tomography Using Spectrum Modeling. IEEE Trans. Computational Imaging 5(2): 333-342 (2019) - [c7]Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing:
Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet). ISBI 2019: 434-437 - 2018
- [j5]Jingzhen Li, Tobore Igbe, Yuhang Liu, Ze-dong Nie, Wenjian Qin, Lei Wang, Yang Hao:
An Approach for Noninvasive Blood Glucose Monitoring Based on Bioimpedance Difference Considering Blood Volume Pulsation. IEEE Access 6: 51119-51129 (2018) - [j4]Lei Liu, Kai Li, Wenjian Qin, Tiexiang Wen, Ling Li, Jia Wu, Jia Gu:
Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images. Medical Biol. Eng. Comput. 56(2): 183-199 (2018) - [c6]Yixuan Yuan, Wenjian Qin, Bulat Ibragimov, Bin Han, Lei Xing:
RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection. MICCAI (2) 2018: 620-628 - 2017
- [j3]Yunliang Chen, Lizhe Wang, Fangyuan Li, Bo Du, Kim-Kwang Raymond Choo, Houcine Hassan, Wenjian Qin:
Air quality data clustering using EPLS method. Inf. Fusion 36: 225-232 (2017) - [j2]Jingzhen Li, Yuhang Liu, Ze-dong Nie, Wenjian Qin, Zengyao Pang, Lei Wang:
An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices. Sensors 17(1): 125 (2017) - [c5]Tiexiang Wen, Rong Liu, Lei Liu, Wenjian Qin, Ling Li, Jia Gu:
GPU-based volume reconstruction for freehand 3D ultrasound imaging. EMBC 2017: 3700-3703 - [c4]Yixuan Yuan, Max Q.-H. Meng, Wenjian Qin, Lei Xing:
Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder. MICCAI (3) 2017: 577-585 - 2014
- [c3]Ling X. Li, Jia Gu, Tiexiang Wen, Wenjian Qin, Hua Xiao, Jiaping Yu:
Multiscale Geometric Active Contour Model and Boundary Extraction in Kidney MR Images. HIS 2014: 212-219 - 2013
- [j1]Tiexiang Wen, Qingsong Zhu, Wenjian Qin, Ling X. Li, Fan Yang, Yaoqin Xie, Jia Gu:
An accurate and effective FMM-based approach for freehand 3D ultrasound reconstruction. Biomed. Signal Process. Control. 8(6): 645-656 (2013) - 2012
- [c2]Wenjian Qin, Tiexiang Wen, Zhen Zheng, Zhicheng Li, Weisong Li, Xiang Fang, Ying Ji, Jia Gu:
A pilot study on simulation of Ultrasound from MRI using ray-based model. BHI 2012: 632-635 - [c1]Xiaoying Liu, Jia Gu, Yaoqin Xie, Jun Xiong, Wenjian Qin:
A new approach to detecting ulcer and bleeding in Wireless capsule endoscopy images. BHI 2012: 737-740
Coauthor Index
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