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ORCIDQian Wang 0001
王乾
Person information
- unicode name: 王乾
- affiliation: Shanghai Jiao Tong University, Med-X Research Institute, School of Biomedical Engineering, China
- affiliation (former): University of North Carolina at Chapel Hill, NC, USA
Other persons with the same name
- Qian Wang — disambiguation page
- Qian Wang 0002
![[0000-0002-8967-8525]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8967-8525")
— Wuhan University, School of Cyber Science and Engineering, Hubei, China (and 2 more) - Qian Wang 0003 — Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
- Qian Wang 0004 — University of Electronic Science and Technology of China, National Key Laboratory of Science and Technology on Communications, Chengdu, China
- Qian Wang 0005 — Xi'an Jiaotong University, School of Mathematics and Statistics, China
- Qian Wang 0006 — University of South Carolina, Department of Chemistry and Biochemistry, Columbia, SC, USA
- Qian Wang 0007 — The Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Hong Kong (and 1 more)
- Qian Wang 0008 — University of Alberta, Edmonton, AB, Canada
- Qian Wang 0009 — Yanshan University, College of Information Science and Engineering, Qianhuangdao, China (and 2 more)
- Qian Wang 0010 — Clemson University, International Center for Automotive Research, Applied Dynamics and Control Group, Greenville, SC, USA
- Qian Wang 0011 — Southeast University, School of Computer Science and Engineering, MOE, Key Laboratory of Computer Network and Information Integration, Nanjing, China
- Qian Wang 0012 — Hangzhou Dianzi University, Institute of Information and Control, China (and 1 more)
- Qian Wang 0013 — Information Science and Technology Institute, Zhengzhou, China
- Qian Wang 0014 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 2 more)
- Qian Wang 0015 — Beijing University of Posts and Telecommunications, Network Management Center, China
- Qian Wang 0016 — Aalborg University, Department of Energy Technology, Denmark (and 1 more)
- Qian Wang 0017 — University of Manchester, UK
- Qian Wang 0018 — University of Bath, Department of Mechanical Engineering, UK (and 1 more)
- Qian Wang 0019 — Xi'an University of Posts and Telecommunications, School of Telecommunication and Information Engineering, China (and 3 more)
- Qian Wang 0020 — Harbin Institute of Technology, School of Mechatronics Engineering, China
- Qian Wang 0021 — EPFL, Computational Mathematics and Simulation Science, Lausanne, Switzerland (and 1 more)
- Qian Wang 0022 — University of Maryland, College Park, USA (and 1 more)
- Qian Wang 0023 — Zhengzhou University of Light Industry, Zhengzhou, China
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2020 – today
- 2022
[j52]Zikang Niu, Lina Jia, Yi Liu, Qian Wang, Yang Li, Lijuan Yang, Xiaoli Li, Xue Wang:
Scale-free dynamics of microstate sequence in negative schizophrenia and depressive disorder. Comput. Biol. Medicine 143: 105287 (2022)- [j51]Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen:
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. Medical Image Anal. 75: 102294 (2022) - [j50]Jintao Lu, Xi Ouyang, Xueda Shen, Tianjiao Liu, Zhiming Cui, Qian Wang, Dinggang Shen:
GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images. IEEE J. Biomed. Health Informatics 26(4): 1582-1590 (2022) - [j49]Dongming Wei, Sahar Ahmad, Yuyu Guo, Liyun Chen, Yunzhi Huang, Lei Ma, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Pew-Thian Yap, Dinggang Shen, Qian Wang:
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images. IEEE Trans. Medical Imaging 41(5): 1219-1229 (2022) - 2021
- [j48]Dongdong Gu, Liyun Chen, Fei Shan, Liming Xia, Jun Liu, Zhanhao Mo, Fuhua Yan, Bin Song, Yaozong Gao, Xiaohuan Cao, Yanbo Chen, Ying Shao, Miaofei Han, Bin Wang, Guocai Liu, Qian Wang, Feng Shi, Dinggang Shen, Zhong Xue:
Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Medical Imaging 21(1): 57 (2021) - [j47]Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Dong Luo, Xiangshan Fan, Qian Wang:
Hierarchical pathology screening for cervical abnormality. Comput. Medical Imaging Graph. 89: 101892 (2021) - [j46]Liyun Chen, Dongdong Gu, Yanbo Chen, Ying Shao, Xiaohuan Cao, Guocai Liu, Yaozong Gao, Qian Wang, Dinggang Shen:
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans. Comput. Medical Imaging Graph. 89: 101899 (2021) - [j45]Kai Xuan, Liping Si, Lichi Zhang, Zhong Xue, Yining Jiao, Weiwu Yao, Dinggang Shen, Dijia Wu, Qian Wang:
Reducing magnetic resonance image spacing by learning without ground-truth. Pattern Recognit. 120: 108103 (2021) - [j44]Xi Ouyang, Srikrishna Karanam, Ziyan Wu, Terrence Chen, Jiayu Huo, Xiang Sean Zhou, Qian Wang, Jie-Zhi Cheng:
Learning Hierarchical Attention for Weakly-Supervised Chest X-Ray Abnormality Localization and Diagnosis. IEEE Trans. Medical Imaging 40(10): 2698-2710 (2021) - [c71]Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. MICCAI (7) 2021: 78-87 - [c70]Yuanfang Qiao, Haoyi Tao, Jiayu Huo, Wenjun Shen, Qian Wang, Lichi Zhang:
Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance. MLCN@MICCAI 2021: 92-100 - [c69]Xiaping Du, Jiayu Huo, Yuanfang Qiao, Qian Wang, Lichi Zhang:
False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning. PRIME@MICCAI 2021: 93-103 - [c68]Zhuochen Wang, Tingting Huang, Bin Xiao, Jiayu Huo, Sheng Wang, Haoxiang Jiang, Heng Liu, Fan Wu, Xiang Sean Zhou, Zhong Xue, Jian Yang, Qian Wang:
Self-guided Multi-attention Network for Periventricular Leukomalacia Recognition. PRIME@MICCAI 2021: 128-137 - [c67]Haoyi Tao, Yuanfang Qiao, Lichi Zhang, Yiqiang Zhan, Zhong Xue, Qian Wang:
Anatomical Structure-Aware Pulmonary Nodule Detection via Parallel Multi-task RoI Head. PRIME@MICCAI 2021: 212-220 - [c66]Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang:
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. MLMI@MICCAI 2021: 219-227 - [c65]Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen:
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. MLMI@MICCAI 2021: 347-355 - [c64]Zhenrong Shen, Xi Ouyang, Zhuochen Wang, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection. PRCV (3) 2021: 536-547 - [i14]Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang:
Multi-Modal MRI Reconstruction with Spatial Alignment Network. CoRR abs/2108.05603 (2021) - 2020
- [j43]Dongming Wei, Sahar Ahmad, Jiayu Huo, Pu Huang, Pew-Thian Yap, Zhong Xue, Jianqi Sun, Wentao Li, Dinggang Shen, Qian Wang:
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors. Medical Image Anal. 65: 101763 (2020) - [j42]Dongming Wei, Lichi Zhang, Zhengwang Wu, Xiaohuan Cao, Gang Li, Dinggang Shen, Qian Wang:
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images. Pattern Recognit. 100: 107171 (2020) - [j41]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction". IEEE Trans. Biomed. Eng. 67(9): 2705 (2020) - [j40]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67(9): 2706 (2020) - [j39]Shuai Wang, Qian Wang, Yeqin Shao, Liangqiong Qu, Chunfeng Lian, Jun Lian, Dinggang Shen:
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations. IEEE Trans. Biomed. Eng. 67(10): 2710-2720 (2020) - [j38]Xuhua Ren, Sahar Ahmad, Lichi Zhang, Lei Xiang, Dong Nie, Fan Yang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. IEEE Trans. Image Process. 29: 7497-7510 (2020) - [j37]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting". IEEE Trans. Medical Imaging 39(2): 543 (2020) - [j36]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j35]Shuai Wang, Dong Nie, Liangqiong Qu, Yeqin Shao, Jun Lian, Qian Wang, Dinggang Shen:
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation. IEEE Trans. Medical Imaging 39(6): 2151-2162 (2020) - [j34]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans. Medical Imaging 39(8): 2595-2605 (2020) - [j33]Jun Wang, Lichi Zhang, Qian Wang, Lei Chen, Jun Shi, Xiaobo Chen, Zuoyong Li, Dinggang Shen:
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation. IEEE Trans. Medical Imaging 39(10): 3137-3147 (2020) - [c63]Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang:
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention. ISBI 2020: 385-389 - [c62]Tong Li, Zhuochen Wang, Yanbo Chen, Lichi Zhang, Yaozong Gao, Feng Shi, Dahong Qian, Qian Wang, Dinggang Shen:
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images. TIA@MICCAI 2020: 3-13 - [c61]Shuo Chen, Shanhui Sun, Xiaoqian Huang, Dinggang Shen, Qian Wang, Shu Liao:
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction. MLMIR@MICCAI 2020: 82-90 - [c60]Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Zhong Xue, Dinggang Shen, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography. PRIME@MICCAI 2020: 169-177 - [c59]Kai Xuan, Shanhui Sun, Zhong Xue, Qian Wang, Shu Liao:
Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning. MICCAI (2) 2020: 178-187 - [c58]Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue:
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. MICCAI (3) 2020: 181-189 - [c57]Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Qian Wang, Dinggang Shen, Lichi Zhang:
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency. PRIME@MICCAI 2020: 200-209 - [c56]Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen:
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. MLMI@MICCAI 2020: 241-249 - [c55]Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Qian Wang:
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening. MLMI@MICCAI 2020: 414-422 - [c54]Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen:
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. MLMI@MICCAI 2020: 474-483 - [i13]Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang:
Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention. CoRR abs/2001.03857 (2020) - [i12]Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen:
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. CoRR abs/2004.02731 (2020) - [i11]Xi Ouyang, Jiayu Huo, Liming Xia, Fei Shan, Jun Liu, Zhanhao Mo, Fuhua Yan, Zhongxiang Ding, Qi Yang, Bin Song, Feng Shi, Huan Yuan, Ying Wei, Xiaohuan Cao, Yaozong Gao, Dijia Wu, Qian Wang, Dinggang Shen:
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia. CoRR abs/2005.02690 (2020) - [i10]Jiayu Huo, Liping Si, Xi Ouyang, Kai Xuan, Weiwu Yao, Zhong Xue, Lichi Zhang, Qian Wang:
A Self-ensembling Framework for Semi-supervised Knee Osteoarthritis Localization and Classification with Dual-Consistency. CoRR abs/2005.09212 (2020) - [i9]Dongming Wei, Sahar Ahmad, Yunzhi Huang, Lei Ma, Qian Wang, Pew-Thian Yap, Dinggang Shen:
An Auto-Context Deformable Registration Network for Infant Brain MRI. CoRR abs/2005.09230 (2020) - [i8]Sheng Wang, Jiayu Huo, Xi Ouyang, Jifei Che, Xuhua Ren, Zhong Xue, Qian Wang, Jie-Zhi Cheng:
mr2NST: Multi-Resolution and Multi-Reference Neural Style Transfer for Mammography. CoRR abs/2005.11926 (2020)
2010 – 2019
- 2019
- [j32]Yeqin Shao, Jaeil Kim, Yaozong Gao, Qian Wang, Weili Lin, Dinggang Shen:
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression. IEEE Access 7: 33728-33740 (2019) - [d1]Satyavani Kaliamurthi, Gurudeeban Selvaraj, Sathishkumar Chinnasamy, Qian Wang, Asma Sindhoo Nangraj, William C. S. Cho, Keren Gu, Dong-Qing Wei:
Immunomics Datasets and Tools: To Identify Potential Epitope Segments for Designing Chimeric Vaccine Candidate to Cervix Papilloma. Data 4(1): 31 (2019) - [j31]Jingfan Fan, Xiaohuan Cao, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Adversarial learning for mono- or multi-modal registration. Medical Image Anal. 58 (2019) - [j30]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction. IEEE Trans. Biomed. Eng. 66(7): 2105-2114 (2019) - [j29]Jun Wang, Qian Wang, Han Zhang, Jiawei Chen, Shitong Wang, Dinggang Shen:
Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns. IEEE Trans. Cybern. 49(8): 3141-3154 (2019) - [j28]Qian Wang, Yinghuan Shi, Dinggang Shen:
Machine Learning in Medical Imaging. IEEE J. Biomed. Health Informatics 23(4): 1361-1362 (2019) - [j27]Xuhua Ren, Tingting Li, Xiujun Yang, Shuai Wang, Sahar Ahmad, Lei Xiang, Shaun Richard Stone, Lihong Li, Yiqiang Zhan, Dinggang Shen, Qian Wang:
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph. IEEE J. Biomed. Health Informatics 23(5): 2030-2038 (2019) - [j26]Zhenghan Fang, Yong Chen, Mingxia Liu, Lei Xiang, Qian Zhang, Qian Wang, Weili Lin, Dinggang Shen:
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting. IEEE Trans. Medical Imaging 38(10): 2375-2388 (2019) - [c53]Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao:
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. ISBI 2019: 1096-1099 - [c52]Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. MLMI@MICCAI 2019: 1-8 - [c51]Yining Jiao, Oihane Mayo Ijurra, Lichi Zhang, Dinggang Shen, Qian Wang:
cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit. RNO-AI@MICCAI 2019: 44-52 - [c50]Kai Xuan, Dongming Wei, Dijia Wu, Zhong Xue, Yiqiang Zhan, Weiwu Yao, Qian Wang:
Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization. MICCAI (3) 2019: 65-73 - [c49]Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen:
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. MICCAI (3) 2019: 155-163 - [c48]Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li, Dinggang Shen, Qian Wang:
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration. MLMI@MICCAI 2019: 203-211 - [c47]Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei, Yiqiang Zhan, Xiang Sean Zhou, Zhong Xue, Guangming Lu, Feng Shi:
Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation. MLMI@MICCAI 2019: 409-416 - [c46]Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen:
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. MICCAI (1) 2019: 415-422 - [c45]Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. MICCAI (5) 2019: 512-520 - [c44]Xi Ouyang, Zhong Xue, Yiqiang Zhan, Xiang Sean Zhou, Qingfeng Wang, Ying Zhou, Qian Wang, Jie-Zhi Cheng:
Weakly Supervised Segmentation Framework with Uncertainty: A Study on Pneumothorax Segmentation in Chest X-ray. MICCAI (6) 2019: 613-621 - [e5]Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le:
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11795, Springer 2019, ISBN 978-3-030-33390-4 [contents] - [e4]Qian Wang, Alberto Gómez, Jana Hutter, Kristin McLeod, Veronika A. M. Zimmer, Oliver Zettinig, Roxane Licandro, Emma C. Robinson, Daan Christiaens, Esra Abaci Turk, Andrew Melbourne:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11798, Springer 2019, ISBN 978-3-030-32874-0 [contents] - [i7]Dongming Wei, Zhengwang Wu, Gang Li, Xiaohuan Cao, Dinggang Shen, Qian Wang:
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images. CoRR abs/1902.02342 (2019) - [i6]Xuhua Ren, Lichi Zhang, Sahar Ahmad, Dong Nie, Fan Yang, Lei Xiang, Qian Wang, Dinggang Shen:
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation. CoRR abs/1905.08720 (2019) - [i5]Xuhua Ren, Lichi Zhang, Qian Wang, Dinggang Shen:
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization. CoRR abs/1906.10400 (2019) - [i4]Dong Nie, Lei Xiang, Qian Wang, Dinggang Shen:
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis. CoRR abs/1907.03297 (2019) - [i3]Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang:
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors. CoRR abs/1907.13020 (2019) - 2018
- [j25]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. Comput. Medical Imaging Graph. 67: 21-29 (2018) - [j24]Lei Xiang, Qian Wang, Dong Nie, Lichi Zhang, Xiyao Jin, Yu Qiao, Dinggang Shen:
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image. Medical Image Anal. 47: 31-44 (2018) - [j23]Xiaohuan Cao, Jianhua Yang, Jun Zhang, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Deformable Image Registration Using a Cue-Aware Deep Regression Network. IEEE Trans. Biomed. Eng. 65(9): 1900-1911 (2018) - [j22]Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65(12): 2720-2730 (2018) - [j21]Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Qian Wang, Dinggang Shen:
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis. IEEE Trans. Image Process. 27(7): 3500-3512 (2018) - [j20]Lei Chen, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen:
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Trans. Medical Imaging 37(8): 1775-1787 (2018) - [c43]Sen Chen, Weijun Tang, Jin Hu, Yawang Cheng, Qian Wang, Xuehai Wu, Dinggang Shen:
Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients. BigComp 2018: 595-598 - [c42]Yakun Yu, Qian Wang, Hao Hu, Shanshan Su, Zhen Wang:
Multi-Atlas Based Early Prediction of Post-Traumatic Stress Disorder. ISICDM 2018: 69-72 - [c41]Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity. MLMI@MICCAI 2018: 55-63 - [c40]Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen:
Unpaired Deep Cross-Modality Synthesis with Fast Training. DLMIA/ML-CDS@MICCAI 2018: 155-164 - [c39]Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen:
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information. MICCAI (1) 2018: 215-223 - [c38]Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen:
Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR 2018: 14-21 - [i2]Xiaohuan Cao, Jianhua Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen:
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity. CoRR abs/1804.10735 (2018) - 2017
- [j19]Lichi Zhang, Qian Wang, Yaozong Gao, Hongxin Li, Guorong Wu, Dinggang Shen:
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images. Neurocomputing 229: 3-12 (2017) - [j18]Lei Xiang, Yu Qiao, Dong Nie, Le An, Weili Lin, Qian Wang, Dinggang Shen:
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI. Neurocomputing 267: 406-416 (2017) - [j17]Jinpeng Zhang, Lichi Zhang, Lei Xiang, Yeqin Shao, Guorong Wu, Xiaodong Zhou, Dinggang Shen, Qian Wang:
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution. Pattern Recognit. 63: 531-541 (2017) - [j16]Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen:
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning". IEEE Trans. Biomed. Eng. 64(1): 250 (2017) - [c37]Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. Patch-MI@MICCAI 2017: 65-73 - [c36]Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen:
Sparse Multi-view Task-Centralized Learning for ASD Diagnosis. MLMI@MICCAI 2017: 159-167 - [c35]Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen:
Deformable Image Registration Based on Similarity-Steered CNN Regression. MICCAI (1) 2017: 300-308 - [c34]Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen:
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) 2017: 417-425 - [c33]Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen:
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. MICCAI (2) 2017: 450-458 - [e3]Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki:
Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings. Lecture Notes in Computer Science 10541, Springer 2017, ISBN 978-3-319-67388-2 [contents] - [i1]Lei Xiang, Qian Wang, Dong Nie, Yu Qiao, Dinggang Shen:
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image. CoRR abs/1709.02073 (2017) - 2016
- [j15]Guorong Wu, Minjeong Kim, Qian Wang, Brent C. Munsell, Dinggang Shen:
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. IEEE Trans. Biomed. Eng. 63(7): 1505-1516 (2016) - [c32]Si Wang, Hao Hu, Shanshan Su, Luyan Liu, Zhen Wang, Qian Wang, Dinggang Shen:
Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder. IDEAL 2016: 560-567 - [c31]Jinpeng Zhang, Qian Wang, Guorong Wu, Dinggang Shen:
Cross-Manifold Guidance in Deformable Registration of Brain MR Images. MIAR 2016: 415-424 - [c30]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. MICCAI (2) 2016: 1-8 - [c29]Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen:
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. MICCAI (2) 2016: 26-34 - [c28]Pei Dong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu:
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59 - [e2]Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk:
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings. Lecture Notes in Computer Science 10019, 2016, ISBN 978-3-319-47156-3 [contents] - 2015
- [j14]Qian Wang, Minjeong Kim, Yonghong Shi, Guorong Wu, Dinggang Shen:
Predict brain MR image registration via sparse learning of appearance and transformation. Medical Image Anal. 20(1): 61-75 (2015) - [j13]Yeqin Shao, Yaozong Gao, Qian Wang, Xin Yang, Dinggang Shen:
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images. Medical Image Anal. 26(1): 345-356 (2015) - [j12]Minjeong Kim, Guorong Wu