Luping Zhou

Zhiming Cui, Luping Zhou, Junwei Yang, 2022, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

Machine Learning Techniques for AD/MCI Diagnosis and Prognosis

Daoqiang Zhang, Dinggang Shen, Luping Zhou, 2014, Machine Learning in Healthcare Informatics.

Multimodal classification of Alzheimer's disease and mild cognitive impairment

Daoqiang Zhang, Luping Zhou, Dinggang Shen, 2011, NeuroImage.

Deep Learning based HEp-2 Image Classification: A Comprehensive Review

Changming Sun, Luping Zhou, Lei Wang, 2019, Medical Image Anal..

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images

Yan Wang, Chen Zu, Luping Zhou, 2021, Neurocomputing.

Learning Discriminative Stein Kernel for SPD Matrices and Its Applications

Lei Wang, Jianjia Zhang, Wanqing Li, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning pdf

Yinghuan Shi, Yang Gao, Dinggang Shen, 2018, ArXiv.

Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease.

Jurgen Fripp, Luping Zhou, Vincent Doré, 2013, JAMA neurology.

Neural Vector Fields: Implicit Representation by Explicit Learning

Zhenghao Chen, Guosheng Lin, Luping Zhou, 2023, ArXiv.

A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook

Lei Wang, Luping Zhou, Chunhua Shen, 2008, ECCV.

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval

Yinghuan Shi, Yang Gao, Lei Wang, 2018, BMVC.

Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis

Yinghuan Shi, Jurgen Fripp, Luping Zhou, 2019, IEEE Transactions on Medical Imaging.

Serum NCAM levels and cognitive deficits in first episode schizophrenia patients versus health controls

F. Fan, Luping Zhou, Shuping Tan, 2017, Schizophrenia Research.

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease

Daoqiang Zhang, Lei Wang, Yan Wang, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Multiple Kernel Learning in the Primal for Multimodal Alzheimer’s Disease Classification

Jianping Yin, Luping Zhou, Chunhua Shen, 2013, IEEE Journal of Biomedical and Health Informatics.

Hierarchical Anatomical Brain Networks for MCI Prediction: Revisiting Volumetric Measures

Dinggang Shen, Yaping Wang, Pew-Thian Yap, 2011, PloS one.

Unsupervised brain tumor segmentation using a symmetric-driven adversarial network

Luping Zhou, Michael Fulham, Lei Bi, 2021, Neurocomputing.

Hippocampal shape analysis for Alzheimer's disease using an efficient hypothesis test and regularized discriminative deformation

Nicolas Cherbuin, Paulette Lieby, Nick Barnes, 2009, Hippocampus.

Identifying Anatomical Shape Difference by Regularized Discriminative Direction

Nick Barnes, Lei Wang, Luping Zhou, 2009, IEEE Transactions on Medical Imaging.

Support Vector Machines for neuroimage analysis: Interpretation from discrimination

Dinggang Shen, Philip Ogunbona, Lei Wang, 2014 .

Regularized Discriminative Direction for Shape Difference Analysis

Nick Barnes, Lei Wang, Luping Zhou, 2008, MICCAI.

A Study of Hippocampal Shape Difference Between Genders by Efficient Hypothesis Test and Discriminative Deformation

Nick Barnes, Luping Zhou, Nicolas Cherbuin, 2007, MICCAI.

Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis

Yinghuan Shi, Luping Zhou, Pierrick Bourgeat, 2020, IEEE Transactions on Medical Imaging.

Discriminative Maximum Margin Image Object Categorization with Exact Inference

Dale Schuurmans, Luping Zhou, Qinfeng Shi, 2009, 2009 Fifth International Conference on Image and Graphics.

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning

Jiliu Zhou, Yan Wang, Xi Wu, 2022, Medical Image Anal..

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation

Lei Wang, Jurgen Fripp, Luping Zhou, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Functional Brain Network Classification With Compact Representation of SICE Matrices

Lei Wang, Jianjia Zhang, Wanqing Li, 2015, IEEE Transactions on Biomedical Engineering.

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease

Daoqiang Zhang, Jiliu Zhou, Yan Wang, 2020, Pattern Recognit..

Network analysis in detection of early-stage mild cognitive impairment

Fengzhen Hou, Luping Zhou, Jun Wang, 2017 .

Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding

Luping Zhou, Lei Wang, Shengqi Huang, 2021, ACM Multimedia.

Kernel-based feature aggregation framework in point cloud networks

Luping Zhou, Jianjia Zhang, Lei Wang, 2023, Pattern Recognition.

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

Dinggang Shen, Lei Wang, Yan Wang, 2018, NeuroImage.

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

Luping Zhou, Lei Wang, Bhanu Prakash Voutharoja, 2023, arXiv.org.

Medical Image Synthesis via Deep Learning.

Lei Wang, Yan Wang, Luping Zhou, 2020, Advances in experimental medicine and biology.

A Self-boosting Framework for Automated Radiographic Report Generation

Luping Zhou, Lei Wang, Zhanyu Wang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond Covariance: SICE and Kernel Based Visual Feature Representation

Wanqing Li, Luping Zhou, Lei Wang, 2020, International Journal of Computer Vision.

DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition

Lei Wang, Luping Zhou, Xinwang Liu, 2017, ECCV.

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices

Lei Wang, Jianjia Zhang, Wanqing Li, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification

Yinghuan Shi, Lei Wang, Luping Zhou, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation

Jingdong Wang, Luping Zhou, Zhen Zhao, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis

Daoqiang Zhang, Luping Zhou, Lei Wang, 2020, IEEE Transactions on Medical Imaging.

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis

D. Shen, Jiliu Zhou, Yan Wang, 2022, Knowl. Based Syst..

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity

Lei Wang, Jianjia Zhang, Luping Zhou, 2017, Pattern Recognit..

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Dinggang Shen, Lei Wang, Philip Ogunbona, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks

Lei Wang, Jianjia Zhang, Zhimin Gao, 2015, IEEE Journal of Biomedical and Health Informatics.

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification

Lei Wang, Philip Ogunbona, Luping Zhou, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images

Luping Zhou, Lei Wang, Huan Wang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens

Lei Wang, Lingqiao Liu, Luping Zhou, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification

Lei Wang, Jianjia Zhang, Wanqing Li, 2014, MLMI.

Medical Imaging Based Diagnosis Through Machine Learning and Data Analysis

Yan Wang, Chen Zu, Luping Zhou, 2021, Computational Biology.

A Probabilistic Approach to Cross-Region Matching-Based Image Retrieval

Lei Wang, Zhimin Gao, Luping Zhou, 2019, IEEE Transactions on Image Processing.

Interactive medical image segmentation via a point-based interaction

Yinghuan Shi, Luping Zhou, Jian Zhang, 2021, Artif. Intell. Medicine.

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation

Yan Wang, Chen Zu, Luping Zhou, 2021, MICCAI.

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation

Jiliu Zhou, Yan Wang, Xi Wu, 2022, Int. J. Neural Syst..

Learning Partial Correlation based Deep Visual Representation for Image Classification

Piotr Koniusz, Peyman Moghadam, Luping Zhou, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ReDro: Efficiently Learning Large-Sized SPD Visual Representation

Lei Wang, Changming Sun, Luping Zhou, 2020, ECCV.

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network

Dinggang Shen, Lei Wang, Philip Ogunbona, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Hierarchical anatomical brain networks for MCI prediction by partial least square analysis

Dinggang Shen, Yaping Wang, Luping Zhou, 2011, CVPR 2011.

MR-Less Surface-Based Amyloid Assessment Based on 11C PiB PET

Olivier Salvado, Jurgen Fripp, Luping Zhou, 2014, PloS one.

SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation

Jurgen Fripp, Luping Zhou, Lei Wang, 2021, IEEE Transactions on Medical Imaging.

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis

Dinggang Shen, Xi Wu, Chen Zu, 2019, IEEE Transactions on Medical Imaging.

Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis

D. Shen, Jiliu Zhou, Yan Wang, 2021, Medical Image Anal..

Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation

Yinghuan Shi, Ming Yang, Luping Zhou, 2019, MLMI@MICCAI.

Neural Vector Fields: Implicit Representation by Explicit Learning

Zhenghao Chen, Guosheng Lin, Luping Zhou, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis

Dinggang Shen, Lei Wang, Yan Wang, 2018, MICCAI.

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction

Jiliu Zhou, Yan Wang, Xi Wu, 2022, MICCAI.

DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images

Jiliu Zhou, Yan Wang, Xi Wu, 2020, ArXiv.

Application of SVMs to the Bag-of-Features Model: A Kernel Perspective

Lei Wang, Luping Zhou, Kap Luk Chan, 2014 .

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval

Luping Zhou, Yang Wang, Jianjia Zhang, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics

Yang Wang, Lei Wang, Jianjia Zhang, 2018, ICMR.

Infomax principle based pooling of deep convolutional activations for image retrieval

Ming Yang, Lei Wang, Zhimin Gao, 2017, 2017 IEEE International Conference on Multimedia and Expo (ICME).

Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval

Lei Wang, Zhimin Gao, Yan Zhao, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval

Lei Wang, Zhimin Gao, Yan Zhao, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Revisiting Metric Learning for SPD Matrix Based Visual Representation

Yinghuan Shi, Yang Gao, Lei Wang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images

Yinghuan Shi, Yang Gao, Luping Zhou, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Selection With Redundancy-Constrained Class Separability

Lei Wang, Luping Zhou, Chunhua Shen, 2010, IEEE Transactions on Neural Networks.

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework

Lei Zhou, J. Liu, Zaiyi Liu, 2023, Patterns.

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning

Lei Wang, Luping Zhou, Yinghuan Shi, 2023, ArXiv.

Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction

Jiliu Zhou, Yan Wang, Luping Zhou, 2023, MICCAI.

Multimodal classification of Alzheimer's disease and mild cognitive impairment

Daoqiang Zhang, D. Shen, Yaping Wang, 2011, NeuroImage.

ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease pdf

Daoqiang Zhang, Yan Wang, Chen Zu, 2020, Pattern Recognit..

R2GenGPT: Radiology Report Generation with Frozen LLMs

Lei Wang, Luping Zhou, Zhanyu Wang, 2023, ArXiv.

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

Luping Zhou, Lei Wang, Bhanu Prakash Voutharoja, 2023, ECAI.

Asynchronous Functional Brain Network Construction with Spatiotemporal Transformer for MCI Classiﬁcation

Luping Zhou, Lei Wang, Xiang Tang, 2022 .

OPML: A one-pass closed-form solution for online metric learning pdf

Yinghuan Shi, Yang Gao, Wenbin Li, 2016, Pattern Recognit..

Learning Discriminative Bayesian Networks from High-dimensional Continuous Neuroimaging Data

Lei Wang, Lingqiao Liu, P. Ogunbona, 2015, IEEE transactions on pattern analysis and machine intelligence.

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data

Lingqiao Liu, P. Ogunbona, D. Shen, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Graph-Embedding Approach to Hierarchical Visual Word Mergence

Lei Wang, Luping Zhou, Lingqiao Liu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Accelerating the Divisive Information-Theoretic Clustering of Visual Words

Lei Wang, Jianjia Zhang, Wanqing Li, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Feature Selection With Redundancy-Constrained Class Separability

Lei Wang, Chunhua Shen, Luping Zhou, 2010, IEEE Transactions on Neural Networks.

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class

Lei Wang, Luping Zhou, Yinghuan Shi, 2022, NeurIPS.

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation

Yixuan Yuan, Luping Zhou, Zhen Zhao, 2023, ArXiv.

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction

Dinggang Shen, Lei Wang, Jianping Yin, 2015, Pattern Recognit..