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2020 – today
- 2024
[j62]Yuanyuan Xu, Lu Wen, Zhengyang Jiao
, Jianghong Xiao, Luping Zhou, Yanmei Luo, Jiliu Zhou, Xingchen Peng, Yan Wang:
DSANet: Dual-path segmentation-guided attention network for radiotherapy dose prediction from CT images only. Knowl. Based Syst. 304: 112536 (2024)- [j61]Yan Wang, Yanmei Luo, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical Image Anal. 91: 102983 (2024) - [j60]Jianjia Zhang, Yunan Guo, Luping Zhou, Lei Wang, Weiwen Wu, Dinggang Shen:
Constructing hierarchical attentive functional brain networks for early AD diagnosis. Medical Image Anal. 94: 103137 (2024) - [j59]Cheng Tang, Xinyi Zeng, Luping Zhou, Qizheng Zhou, Peng Wang, Xi Wu, Hongping Ren, Jiliu Zhou, Yan Wang:
Semi-supervised medical image segmentation via hard positives oriented contrastive learning. Pattern Recognit. 146: 110020 (2024) - [j58]Yujie Yang, Lin Hu, Chen Zu, Jianjia Zhang, Yun Hou, Ying Chen, Jiliu Zhou, Luping Zhou, Yan Wang:
CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction. Pattern Recognit. 156: 110741 (2024) - [j57]Jiaqi Cui, Yan Wang, Luping Zhou, Yuchen Fei, Jiliu Zhou, Dinggang Shen:
3D Point-Based Multi-Modal Context Clusters GAN for Low-Dose PET Image Denoising. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9400-9413 (2024) - [j56]Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8441-8455 (2024) - [c82]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. AAAI 2024: 11829-11837 - [c81]Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang:
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words. AAAI 2024: 12091-12099 - [c80]Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao:
UFDA: Universal Federated Domain Adaptation with Practical Assumptions. AAAI 2024: 14026-14034 - [c79]Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou:
MRScore: Evaluating Medical Report with LLM-Based Reward System. MICCAI (3) 2024: 283-292 - [c78]Tong Chen, Qingcheng Lyu, Long Bai, Erjian Guo, Huxin Gao, Xiaoxiao Yang, Hongliang Ren, Luping Zhou:
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion. MICCAI (6) 2024: 369-379 - [c77]Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou:
KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. MICCAI (5) 2024: 382-392 - [c76]Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu:
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. ACM Multimedia 2024: 3907-3916 - [c75]Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu:
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. ACM Multimedia 2024: 11022-11031 - [c74]Xiaoyi Tian, Yeming Chen, Joel Sved, Yiming Yan, Luping Zhou, Liwei Li, Linh Nguyen, Xiaoke Yi:
Reflective Microresonator based Microwave Photonic Sensor Assisted by Sparse Transformer. OFC 2024: 1-3 - [i57]Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou:
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System. CoRR abs/2404.17778 (2024) - [i56]Zhenghao Chen, Luping Zhou, Zhihao Hu, Dong Xu:
Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression. CoRR abs/2405.04274 (2024) - [i55]Tong Chen, Qingcheng Lyu, Long Bai, Erjian Guo, Huxin Gao, Xiaoxiao Yang, Hongliang Ren, Luping Zhou:
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-Diffusion. CoRR abs/2405.10550 (2024) - [i54]Zicheng Wang, Zhenghao Chen, Yiming Wu, Zhen Zhao, Luping Zhou, Dong Xu:
PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis. CoRR abs/2405.15463 (2024) - [i53]Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou:
KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models. CoRR abs/2409.05370 (2024) - [i52]Zechao Sun, Haolin Jin, Weitong Chen, Luping Zhou:
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation. CoRR abs/2409.08516 (2024) - 2023
- [j55]Feihong Liu, Junwei Yang, Mingyue Feng, Zhiming Cui, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data? Comput. Medical Imaging Graph. 103: 102160 (2023) - [j54]Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen:
Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 247-263 (2023) - [j53]Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023) - [j52]Jianjia Zhang, Zhenxi Zhang, Lei Wang, Luping Zhou, Xiaocai Zhang, Mengting Liu, Weiwen Wu:
Kernel-based feature aggregation framework in point cloud networks. Pattern Recognit. 139: 109439 (2023) - [j51]Mingkang Tang, Zhanyu Wang, Zhaoyang Zeng, Xiu Li, Luping Zhou:
Stay in Grid: Improving Video Captioning via Fully Grid-Level Representation. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3319-3332 (2023) - [j50]Xianghui Yang, Guosheng Lin, Luping Zhou:
Single-View 3D Mesh Reconstruction for Seen and Unseen Categories. IEEE Trans. Image Process. 32: 3746-3758 (2023) - [j49]Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: A Transferable and Multiple Consistency Aided Fundus Image Enhancement Framework. IEEE Trans. Medical Imaging 42(8): 2189-2199 (2023) - [j48]Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. IEEE Trans. Medical Imaging 42(12): 3944-3955 (2023) - [c73]Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun:
Learning Partial Correlation based Deep Visual Representation for Image Classification. CVPR 2023: 6231-6240 - [c72]Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang:
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation. CVPR 2023: 11350-11359 - [c71]Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou:
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CVPR 2023: 11558-11567 - [c70]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Implicit Representation by Explicit Learning. CVPR 2023: 16727-16738 - [c69]Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou:
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation. CVPR 2023: 19585-19595 - [c68]Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, Luping Zhou:
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation. CVPR 2023: 23705-23714 - [c67]Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou:
Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. ECAI 2023: 2427-2434 - [c66]Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz:
Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. ICCV 2023: 11216-11225 - [c65]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. ICCV 2023: 15834-15843 - [c64]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Towards Semi-supervised Learning with Non-random Missing Labels. ICCV 2023: 16075-16085 - [c63]Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang:
Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. ICCV 2023: 21902-21912 - [c62]Yunyi Liu, Zhanyu Wang, Dong Xu, Luping Zhou:
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder. IPMI 2023: 445-456 - [c61]Cheng Tang, Xinyi Zeng, Luping Zhou, Xi Wu, Jiliu Zhou, Peng Wang, Yan Wang:
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation. ISBI 2023: 1-4 - [c60]Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li, Qianjin Feng, Dinggang Shen:
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation. CaPTion@MICCAI 2023: 94-104 - [c59]Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. MICCAI (10) 2023: 239-249 - [c58]Zhen Zhao, Meng Zhao, Ye Liu, Di Yin, Luping Zhou:
Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning. ACM Multimedia 2023: 8346-8355 - [c57]Zhenghao Chen, Lucas Relic, Roberto Azevedo, Yang Zhang, Markus Gross, Dong Xu, Luping Zhou, Christopher Schroers:
Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers. ACM Multimedia 2023: 8543-8551 - [i51]Erjian Guo, Huazhu Fu, Luping Zhou, Dong Xu:
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework. CoRR abs/2302.11795 (2023) - [i50]Zicheng Wang, Zhen Zhao, Xiaoxia Xing, Dong Xu, Xiangyu Kong, Luping Zhou:
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation. CoRR abs/2303.01276 (2023) - [i49]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Implicit Representation by Explicit Learning. CoRR abs/2303.04341 (2023) - [i48]Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang:
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models. CoRR abs/2303.17169 (2023) - [i47]Yunyi Liu, Zhanyu Wang, Dong Xu, Luping Zhou:
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder. CoRR abs/2304.01611 (2023) - [i46]Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou:
METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens. CoRR abs/2304.02211 (2023) - [i45]Saimunur Rahman, Piotr Koniusz, Lei Wang, Luping Zhou, Peyman Moghadam, Changming Sun:
Learning Partial Correlation based Deep Visual Representation for Image Classification. CoRR abs/2304.11597 (2023) - [i44]Bhanu Prakash Voutharoja, Lei Wang, Luping Zhou:
Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives. CoRR abs/2305.07176 (2023) - [i43]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Towards Semi-supervised Learning with Non-random Missing Labels. CoRR abs/2308.08872 (2023) - [i42]Zeyu Han, Yuhan Wang, Luping Zhou, Peng Wang, Binyu Yan, Jiliu Zhou, Yan Wang, Dinggang Shen:
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction. CoRR abs/2308.10157 (2023) - [i41]Zhen Zhao, Ye Liu, Meng Zhao, Di Yin, Yixuan Yuan, Luping Zhou:
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation. CoRR abs/2308.11903 (2023) - [i40]Xianghui Yang, Guosheng Lin, Zhenghao Chen, Luping Zhou:
Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization. CoRR abs/2309.01512 (2023) - [i39]Lorenzo Papa, Paolo Russo, Irene Amerini, Luping Zhou:
A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking. CoRR abs/2309.02031 (2023) - [i38]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. CoRR abs/2309.03598 (2023) - [i37]Zhanyu Wang, Lingqiao Liu, Lei Wang, Luping Zhou:
R2GenGPT: Radiology Report Generation with Frozen LLMs. CoRR abs/2309.09812 (2023) - [i36]Xiaoyu Yue, Lei Bai, Meng Wei, Jiangmiao Pang, Xihui Liu, Luping Zhou, Wanli Ouyang:
Understanding Masked Autoencoders From a Local Contrastive Perspective. CoRR abs/2310.01994 (2023) - [i35]Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, Luping Zhou:
A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging. CoRR abs/2310.20381 (2023) - [i34]Xinhui Liu, Zhenghao Chen, Luping Zhou, Dong Xu, Wei Xi, Gairui Bai, Yihan Zhao, Jizhong Zhao:
UFDA: Universal Federated Domain Adaptation with Practical Assumptions. CoRR abs/2311.15570 (2023) - [i33]Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu:
Progressive Target-Styled Feature Augmentation for Unsupervised Domain Adaptation on Point Clouds. CoRR abs/2311.16474 (2023) - [i32]Zhanyu Wang, Longyue Wang, Zhen Zhao, Minghao Wu, Chenyang Lyu, Huayang Li, Deng Cai, Luping Zhou, Shuming Shi, Zhaopeng Tu:
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation. CoRR abs/2311.16511 (2023) - [i31]Zicheng Wang, Zhen Zhao, Erjian Guo, Luping Zhou:
Clean Label Disentangling for Medical Image Segmentation with Noisy Labels. CoRR abs/2311.16580 (2023) - [i30]Zhen Zhao, Zicheng Wang, Longyue Wang, Yixuan Yuan, Luping Zhou:
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation. CoRR abs/2311.17325 (2023) - [i29]Ling Yang, Zhanyu Wang, Luping Zhou:
MedXChat: Bridging CXR Modalities with a Unified Multimodal Large Model. CoRR abs/2312.02233 (2023) - [i28]Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning. CoRR abs/2312.12237 (2023) - 2022
- [j47]Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Jiliu Zhou, Dong Nie, Luping Zhou:
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation. Int. J. Neural Syst. 32(9): 2250043:1-2250043:18 (2022) - [j46]Bo Zhan, Luping Zhou, Zhiang Li, Xi Wu, Yifei Pu, Jiliu Zhou, Yan Wang, Dinggang Shen:
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis. Knowl. Based Syst. 252: 109362 (2022) - [j45]Yanmei Luo, Luping Zhou, Bo Zhan, Fei-Yue Wang, Jiliu Zhou, Yan Wang, Dinggang Shen:
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis. Medical Image Anal. 77: 102335 (2022) - [j44]Rui Zeng, Jinglei Lv, He Wang, Luping Zhou, Michael Barnett, Fernando Calamante, Chenyu Wang:
FOD-Net: A deep learning method for fiber orientation distribution angular super resolution. Medical Image Anal. 79: 102431 (2022) - [j43]Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning. Medical Image Anal. 79: 102447 (2022) - [j42]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. Pattern Recognit. 126: 108566 (2022) - [j41]Peiqin Zhuang, Yu Guo, Zhipeng Yu, Luping Zhou, Lei Bai, Ding Liang, Zhiyong Wang, Yali Wang, Wanli Ouyang:
Action Recognition With Motion Diversification and Dynamic Selection. IEEE Trans. Image Process. 31: 4884-4896 (2022) - [j40]Jianqing Wu, Yihui Wang, Bo Du, Qiang Wu, Yanlong Zhai, Jun Shen, Luping Zhou, Chen Cai, Wei Wei, Qingguo Zhou:
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. IEEE Trans. Intell. Transp. Syst. 23(3): 2445-2456 (2022) - [j39]Zhanyu Wang, Hongwei Han, Lei Wang, Xiu Li, Luping Zhou:
Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach. IEEE Trans. Medical Imaging 41(10): 2803-2813 (2022) - [j38]Jianjia Zhang, Luping Zhou, Lei Wang, Mengting Liu, Dinggang Shen:
Diffusion Kernel Attention Network for Brain Disorder Classification. IEEE Trans. Medical Imaging 41(10): 2814-2827 (2022) - [c56]Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao:
LaSSL: Label-Guided Self-Training for Semi-supervised Learning. AAAI 2022: 9208-9216 - [c55]Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi:
DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. CVPR 2022: 9747-9755 - [c54]Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. ECCV (30) 2022: 533-549 - [c53]Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. MICCAI (6) 2022: 516-526 - [c52]Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou:
A Medical Semantic-Assisted Transformer for Radiographic Report Generation. MICCAI (3) 2022: 655-664 - [c51]Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi:
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. NeurIPS 2022 - [e6]John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij:
Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Lecture Notes in Computer Science 13755, Springer 2022, ISBN 978-3-031-23222-0 [contents] - [i27]Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. CoRR abs/2203.14316 (2022) - [i26]Mengwei Yuan, Gang Yang, Shijie Song, Luping Zhou, Robert A. Minasian, Xiaoke Yi:
Inverse design of nano-photonic wavelength demultiplexer with a deep neural network approach. CoRR abs/2206.07114 (2022) - [i25]Xianghui Yang, Guosheng Lin, Luping Zhou:
ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction. CoRR abs/2208.02676 (2022) - [i24]Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. CoRR abs/2208.04619 (2022) - [i23]Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen:
Instance Image Retrieval by Learning Purely From Within the Dataset. CoRR abs/2208.06119 (2022) - [i22]Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou:
A Medical Semantic-Assisted Transformer for Radiographic Report Generation. CoRR abs/2208.10358 (2022) - [i21]Zhen Zhao, Sifan Long, Jimin Pi, Jingdong Wang, Luping Zhou:
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation. CoRR abs/2211.11335 (2022) - [i20]Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang:
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation. CoRR abs/2212.04976 (2022) - 2021
- [j37]Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou, Yang Gao, Dinggang Shen:
Interactive medical image segmentation via a point-based interaction. Artif. Intell. Medicine 111: 101998 (2021) - [j36]Bo Zhan, Di Li, Yan Wang, Zongqing Ma, Xi Wu, Jiliu Zhou, Luping Zhou:
LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis. Biomed. Signal Process. Control. 66: 102457 (2021) - [j35]Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li:
Beyond Covariance: SICE and Kernel Based Visual Feature Representation. Int. J. Comput. Vis. 129(2): 300-320 (2021) - [j34]Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images. Neurocomputing 435: 103-113 (2021) - [j33]Xinheng Wu, Lei Bi, Michael J. Fulham, David Dagan Feng, Luping Zhou, Jinman Kim:
Unsupervised brain tumor segmentation using a symmetric-driven adversarial network. Neurocomputing 455: 242-254 (2021) - [j32]Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang:
Progressive Cross-Stream Cooperation in Spatial and Temporal Domain for Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4477-4490 (2021) - [j31]Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang:
Improving Weakly Supervised Temporal Action Localization by Exploiting Multi-Resolution Information in Temporal Domain. IEEE Trans. Image Process. 30: 6659-6672 (2021) - [j30]Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation. IEEE Trans. Medical Imaging 40(5): 1417-1427 (2021) - [j29]Zhiwang Zhang, Dong Xu, Wanli Ouyang, Luping Zhou:
Dense Video Captioning Using Graph-Based Sentence Summarization. IEEE Trans. Multim. 23: 1799-1810 (2021) - [c50]Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li:
A Self-Boosting Framework for Automated Radiographic Report Generation. CVPR 2021: 2433-2442 - [c49]Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D Transformer-GAN for High-Quality PET Reconstruction. MICCAI (6) 2021: 276-285 - [c48]Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation. MICCAI (2) 2021: 450-460 - [c47]Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang:
Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding. ACM Multimedia 2021: 677-685 - [i19]Feihong Liu, Junwei Yang, Xiaowei He, Luping Zhou, Jun Feng, Dinggang Shen:
Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data? CoRR abs/2106.06992 (2021) - [i18]Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao:
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. CoRR abs/2107.11517 (2021) - [i17]Shengqi Huang, Wanqi Yang, Lei Wang, Luping Zhou, Ming Yang:
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding. CoRR abs/2108.02953 (2021) - 2020
- [j28]Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou:
Deep learning based HEp-2 image classification: A comprehensive review. Medical Image Anal. 65: 101764 (2020) - [j27]Jiashuang Huang, Qi Zhu, Mingliang Wang, Luping Zhou, Zhiqiang Zhang, Daoqiang Zhang:
Coherent Pattern in Multi-Layer Brain Networks: Application to Epilepsy Identification. IEEE J. Biomed. Health Informatics 24(9): 2609-2620 (2020) - [j26]Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei:
Epileptic Seizure Classification With Symmetric and Hybrid Bilinear Models. IEEE J. Biomed. Health Informatics 24(10): 2844-2851 (2020) - [j25]Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat:
Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 39(7): 2339-2350 (2020) - [j24]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis. IEEE Trans. Medical Imaging 39(7): 2541-2552 (2020) - [c46]Xianghui Yang, Bairun Wang, Xinchi Zhou, Kaige Chen, Shuai Yi, Wanli Ouyang, Luping Zhou:
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation. BMVC 2020 - [c45]Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou:
ReDro: Efficiently Learning Large-Sized SPD Visual Representation. ECCV (15) 2020: 1-17 - [c44]Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation. MICCAI (4) 2020: 216-226 - [c43]Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang:
Improving Auto-Augment via Augmentation-Wise Weight Sharing. NeurIPS 2020 - [i16]Tennison Liu, Nhan Duy Truong, Armin Nikpour, Luping Zhou, Omid Kavehei:
Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models. CoRR abs/2001.06282 (2020) - [i15]Wanqi Yang, Tong Ling, Chengmei Yang, Lei Wang, Yinghuan Shi, Luping Zhou, Ming Yang:
Class Distribution Alignment for Adversarial Domain Adaptation. CoRR abs/2004.09403 (2020) - [i14]Xianghui Yang, Bairun Wang, Kaige Chen, Xinchi Zhou, Shuai Yi, Wanli Ouyang, Luping Zhou:
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation. CoRR abs/2008.06226 (2020) - [i13]Keyu Tian, Chen Lin, Ming Sun, Luping Zhou, Junjie Yan, Wanli Ouyang:
Improving Auto-Augment via Augmentation-Wise Weight Sharing. CoRR abs/2009.14737 (2020) - [i12]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease. CoRR abs/2010.08190 (2020)
2010 – 2019
- 2019
- [j23]Nhan Duy Truong, Levin Kuhlmann, Mohammad Reza Bonyadi, Damien Querlioz, Luping Zhou, Omid Kavehei:
Epileptic Seizure Forecasting With Generative Adversarial Networks. IEEE Access 7: 143999-144009 (2019) - [j22]Zhimin Gao, Lei Wang, Luping Zhou:
A Probabilistic Approach to Cross-Region Matching-Based Image Retrieval. IEEE Trans. Image Process. 28(3): 1191-1204 (2019) - [j21]Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. IEEE Trans. Medical Imaging 38(6): 1328-1339 (2019) - [j20]Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat:
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 38(7): 1750-1762 (2019) - [c42]Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu:
Improving Action Localization by Progressive Cross-Stream Cooperation. CVPR 2019: 12016-12025 - [c41]Nhan Duy Truong, Luping Zhou, Omid Kavehei:
Semi-supervised Seizure Prediction with Generative Adversarial Networks. EMBC 2019: 2369-2372 - [c40]Yuhua Fan, Luping Zhou, Liya Fan, Jing Yang:
Multiple Obstacle Detection for Assistance Driver System Using Deep Neural Networks. ICAIS (3) 2019: 501-513 - [c39]Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. ICCV 2019: 8079-8088 - [c38]Huan Wang, Luping Zhou, Lei Wang:
Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images. ICCV 2019: 8508-8517 - [c37]Jianqing Wu, Luping Zhou, Chen Cai, Fang Dong, Jun Shen, Geng Sun:
Towards a General Prediction System for the Primary Delay in Urban Railways. ITSC 2019: 3482-3487 - [c36]Ziqi Zhou, Xinna Guo, Wanqi Yang, Yinghuan Shi, Luping Zhou, Lei Wang, Ming Yang:
Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation. MLMI@MICCAI 2019: 601-610 - [c35]Jiashuang Huang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network. MICCAI (3) 2019: 691-699 - [e5]Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel A. Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang:
OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11796, Springer 2019, ISBN 978-3-030-32694-4 [contents] - [e4]Daoqiang Zhang, Luping Zhou, Biao Jie, Mingxia Liu:
Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11849, Springer 2019, ISBN 978-3-030-35816-7 [contents] - [e3]Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen:
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11851, Springer 2019, ISBN 978-3-030-33641-7 [contents] - [i11]Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. CoRR abs/1904.03425 (2019) - [i10]Rui Su, Wanli Ouyang, Luping Zhou, Dong Xu:
Improving Action Localization by Progressive Cross-stream Cooperation. CoRR abs/1905.11575 (2019) - [i9]Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou:
Deep Learning based HEp-2 Image Classification: A Comprehensive Review. CoRR abs/1911.08916 (2019) - 2018
- [j19]Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D conditional generative adversarial networks for high-quality PET image estimation at low dose. NeuroImage 174: 550-562 (2018) - [j18]Luping Zhou, Islem Rekik, Chenggang Yan, Guorong Wu:
Special Issue on High Performance Computing in Bio-medical Informatics. Neuroinformatics 16(3-4): 283 (2018) - [j17]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A one-pass closed-form solution for online metric learning. Pattern Recognit. 75: 302-314 (2018) - [c34]Yan Zhao, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
Modelling Diffusion Process by Deep Neural Networks for Image Retrieval. BMVC 2018: 161 - [c33]Jianqing Wu, Luping Zhou, Chen Cai, Jun Shen, Sim Kim Lau, Jianming Yong:
Data Fusion for MaaS: Opportunities and Challenges. CSCWD 2018: 642-647 - [c32]Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu:
DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition. ECCV (2) 2018: 629-645 - [c31]Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Sheri:
A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. ICASSP 2018: 806-810 - [c30]Biting Yu, Luping Zhou, Lei Wang, Jurgen Fripp, Pierrick Bourgeat:
3D cGAN based cross-modality MR image synthesis for brain tumor segmentation. ISBI 2018: 626-630 - [c29]Yan Wang, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu, Zhipeng Yang, Jiliu Zhou, Luping Zhou:
Tumor segmentation via multi-modality joint dictionary learning. ISBI 2018: 1336-1339 - [c28]Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. ISBI 2018: 1542-1545 - [c27]Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. MICCAI (1) 2018: 329-337 - [c26]Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Fang Chen:
Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics. ICMR 2018: 91-99 - [i8]Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen:
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning. CoRR abs/1804.10481 (2018) - 2017
- [j16]Kenji Suzuki, Luping Zhou, Qian Wang:
Machine learning in medical imaging. Pattern Recognit. 63: 465-467 (2017) - [j15]Jianjia Zhang, Luping Zhou, Lei Wang:
Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity. Pattern Recognit. 63: 642-652 (2017) - [j14]Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang:
HEp-2 Cell Image Classification With Deep Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 21(2): 416-428 (2017) - [j13]Lei Wang, Lingqiao Liu, Luping Zhou:
A Graph-Embedding Approach to Hierarchical Visual Word Mergence. IEEE Trans. Neural Networks Learn. Syst. 28(2): 308-320 (2017) - [c25]Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao:
Revisiting Metric Learning for SPD Matrix Based Visual Representation. CVPR 2017: 7111-7119 - [c24]Zhimin Gao, Lei Wang, Luping Zhou, Ming Yang:
Infomax principle based pooling of deep convolutional activations for image retrieval. ICME 2017: 457-462 - [i7]Melih Engin, Lei Wang, Luping Zhou, Xinwang Liu:
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition. CoRR abs/1711.04047 (2017) - 2016
- [j12]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2269-2283 (2016) - [j11]Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li:
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications. IEEE Trans. Neural Networks Learn. Syst. 27(5): 1020-1033 (2016) - [c23]Yin Liang, Tong Zhang, Limin Chen, Bingen Li, Luping Zhou:
A Hidden Markov Model based efficient next best viewpoint planning for autonomous exploration. CSCWD 2016: 80-84 - [c22]Ian Comor, Yan Zhao, Zhimin Gao, Luping Zhou, Lei Wang:
Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval. DICTA 2016: 1-8 - [c21]Yan Zhao, Lei Wang, Zhimin Gao, Ian Comor, Weichen Zhang, Luping Zhou:
Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval. DICTA 2016: 1-8 - [i6]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A One-Pass Closed-Form Solution for Online Metric Learning. CoRR abs/1609.09178 (2016) - [i5]Jianjia Zhang, Lei Wang, Luping Zhou:
Exploiting Structure Sparsity for Covariance-based Visual Representation. CoRR abs/1610.08619 (2016) - 2015
- [j10]Xinwang Liu, Luping Zhou, Lei Wang, Jian Zhang, Jianping Yin, Dinggang Shen:
An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction. Pattern Recognit. 48(7): 2141-2150 (2015) - [j9]Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li:
Functional Brain Network Classification With Compact Representation of SICE Matrices. IEEE Trans. Biomed. Eng. 62(6): 1623-1634 (2015) - [c20]Lei Wang, Jianjia Zhang, Luping Zhou, Chang Tang, Wanqing Li:
Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices. ICCV 2015: 4570-4578 - [e2]Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi:
Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings. Lecture Notes in Computer Science 9352, Springer 2015, ISBN 978-3-319-24887-5 [contents] - [i4]Zhimin Gao, Lei Wang, Luping Zhou, Jianjia Zhang:
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks. CoRR abs/1504.02531 (2015) - [i3]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data. CoRR abs/1506.06868 (2015) - 2014
- [j8]Fucai Wang, Bingrong Li, Luping Zhou:
Routing Strategy Based on Local Density Sensing in Delay Tolerant Network. J. Networks 9(2): 393-399 (2014) - [j7]Lei Wang, Luping Zhou, Chunhua Shen, Lingqiao Liu, Huan Liu:
A Hierarchical Word-Merging Algorithm with Class Separability Measure. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 417-435 (2014) - [j6]Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin:
Multiple Kernel Learning in the Primal for Multimodal Alzheimer's Disease Classification. IEEE J. Biomed. Health Informatics 18(3): 984-990 (2014) - [c19]Luping Zhou, Lei Wang, Philip Ogunbona:
Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification. CVPR 2014: 3097-3104 - [c18]Yan Zhao, Zhimin Gao, Lei Wang, Luping Zhou:
Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering. DICTA 2014: 1-8 - [c17]Zhimin Gao, Jianjia Zhang, Luping Zhou, Lei Wang:
HEp-2 Cell Image Classification with Convolutional Neural Networks. I3A@ICPR 2014: 24-28 - [c16]Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li:
Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification. MLMI 2014: 59-67 - [c15]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data. MICCAI (3) 2014: 321-328 - [p1]Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap:
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis. Machine Learning in Healthcare Informatics 2014: 147-179 - [e1]Guorong Wu, Daoqiang Zhang, Luping Zhou:
Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings. Lecture Notes in Computer Science 8679, Springer 2014, ISBN 978-3-319-10580-2 [contents] - [i2]Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li:
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications. CoRR abs/1407.1974 (2014) - 2013
- [j5]Luping Zhou, Bingrong Li, Fucai Wang:
Particle Swarm Optimization Model of Distributed Network Planning. J. Networks 8(10): 2263-2268 (2013) - [c14]Lei Wang, Jianjia Zhang, Luping Zhou, Wanqing Li:
A Fast Approximate AIB Algorithm for Distributional Word Clustering. CVPR 2013: 556-563 - [c13]Luping Zhou, Lei Wang, Lingqiao Liu, Philip Ogunbona, Dinggang Shen:
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network. CVPR 2013: 2243-2250 - [c12]Jianjia Zhang, Lei Wang, Lingqiao Liu, Luping Zhou, Wanqing Li:
Accelerating the Divisive Information-Theoretic Clustering of Visual Words. DICTA 2013: 1-8 - [i1]Fayao Liu, Luping Zhou, Chunhua Shen, Jianping Yin:
Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification. CoRR abs/1310.0890 (2013) - 2012
- [c11]Luping Zhou, Olivier Salvado, Vincent Doré, Pierrick Bourgeat, Parnesh Raniga, Victor Villemagne, Christopher Rowe, Jurgen Fripp:
MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion. MICCAI (2) 2012: 220-227 - 2011
- [j4]Daoqiang Zhang, Yaping Wang, Luping Zhou, Hong Yuan, Dinggang Shen:
Multimodal classification of Alzheimer's disease and mild cognitive impairment. NeuroImage 55(3): 856-867 (2011) - [c10]Zheng Zhou, Luping Zhou, Bing Deng, Changwen Qu:
A trusted control model of subject's behaviors based on static measuring. BMEI 2011: 2063-2066 - [c9]Luping Zhou, Yaping Wang, Yang Li, Pew-Thian Yap, Dinggang Shen:
Hierarchical anatomical brain networks for MCI prediction by partial least square analysis. CVPR 2011: 1073-1080 - [c8]Luping Zhou, Olivier Salvado:
A Comparison Study of Ellipsoid Fitting for Pose Normalization of Hippocampal Shapes. DICTA 2011: 285-290 - [c7]Luping Zhou, Shu Liao, Wei Li, Dinggang Shen:
Learning-based prostate localization for image guided radiation therapy. ISBI 2011: 2103-2106 - 2010
- [j3]Luping Zhou, Lei Wang, Chunhua Shen:
Feature selection with redundancy-constrained class separability. IEEE Trans. Neural Networks 21(5): 853-858 (2010) - [c6]Luping Zhou, Lei Wang, Chunhua Shen, Nick Barnes:
Hippocampal Shape Classification Using Redundancy Constrained Feature Selection. MICCAI (2) 2010: 266-273
2000 – 2009
- 2009
- [j2]Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes:
Identifying Anatomical Shape Difference by Regularized Discriminative Direction. IEEE Trans. Medical Imaging 28(6): 937-950 (2009) - [c5]Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurmans:
Discriminative Maximum Margin Image Object Categorization with Exact Inference. ICIG 2009: 232-237 - 2008
- [j1]Lei Wang, Kap Luk Chan, Ping Xue, Luping Zhou:
A Kernel-Induced Space Selection Approach to Model Selection in KLDA. IEEE Trans. Neural Networks 19(12): 2116-2131 (2008) - [c4]Lei Wang, Luping Zhou, Chunhua Shen:
A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook. ECCV (4) 2008: 719-732 - [c3]Luping Zhou, Richard I. Hartley, Lei Wang, Paulette Lieby, Nick Barnes:
Regularized Discriminative Direction for Shape Difference Analysis. MICCAI (1) 2008: 628-635 - 2007
- [c2]Luping Zhou, Richard I. Hartley, Paulette Lieby, Nick Barnes, Kaarin Anstey, Nicolas Cherbuin, Perminder S. Sachdev:
A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation. MICCAI (1) 2007: 375-383 - 2001
- [c1]Indriyati Atmosukarto, Luping Zhou, Wee Kheng Leow, Zhiyong Huang:
Polygonizing Non-Uniformly Distributed 3D Points by Advancing Mesh Frontiers. Computer Graphics International 2001: 175-182
Coauthor Index
[j60] [j56] [c82] [c79] [c77] [i57] [i53] [j54] [j52] [c73] [c71] [c67] [c66] [c65] [c64] [i46] [i45] [i44] [i43] [i38] [i37] [i35] [i28] [j42] [j39] [j38] [c56] [c55] [c54] [c52] [c51] [i27] [i24] [i23] [i22] [j37] [j35] [j30] [c50] [c47] [i18] [i17] [j28] [j25] [j24] [c45] [c44] [i15] [i12] [j22] [j21] [j20] [c39] [c38] [c36] [c35] [i11] [i9] [j19] [j17] [c34] [c32] [c30] [c29] [c28] [c27] [c26] [i8] [j15] [j14] [j13] [c25] [c24] [i7] [j12] [j11] [c22] [c21] [i6] [i5] [j10] [j9] [c20] [i4] [i3] [j7] [c19] [c18] [c17] [c16] [c15] [i2] [c14] [c13] [c12] [j3] [c6] [j2] [j1] [c4] [c3]
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