Multi-step 3D/2D Image Registration for Image-guided Spinal Surgery. - Yi Zhang; Manning Wang; Zhijian Song (BMEI (2), 2008)

Automatic Detection of Fiducial Marker Center Based on Shape Index and Curvedness. - Manning Wang; Zhijian Song (MIAR, 2008)

Automatic localization of the center of fiducial markers in 3D CT/MRI images for image-guided neurosurgery. - Manning Wang; Zhijian Song (Pattern Recognit. Lett., 2009)

A Brain-Deformation Framework Based on a Linear Elastic Model and Evaluation Using Clinical Data. - Chenxi Zhang 004; Manning Wang; Zhijian Song (IEEE Trans. Biomed. Eng., 2011)

miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration. - Dongsheng Jiang; Yonghong Shi; Demin Yao; Manning Wang; Zhijian Song (Int. J. Comput. Assist. Radiol. Surg., 2016)

4 Collinear Points: Robust Point Set Registration Using Cross Ratio Invariance. - Yiru Wang; Yinlong Liu; Zhijian Song; Manning Wang (CCCV (3), 2017)

Multimodal image registration based on binary gradient angle descriptor. - Dongsheng Jiang; Yonghong Shi; Demin Yao; Yifeng Fan; Manning Wang; Zhijian Song (Int. J. Comput. Assist. Radiol. Surg., 2017)

Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search. - Yinlong Liu; Chen Wang 025; Zhijian Song; Manning Wang (ECCV (12), 2018)

Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net. - Yueyue Wang; Liang Zhao 017; Zhijian Song; Manning Wang (CoRR, 2018)

Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition. - Xuechen Li 002; Yinlong Liu; Yiru Wang; Chen Wang 025; Manning Wang; Zhijian Song (CoRR, 2018)

GO-APSR: A Globally Optimal Affine Point Set Registration Method. - Xuechen Li 002; Yinlong Liu; Manning Wang; Zhijian Song (IEEE Access, 2019)

An Augmentation Strategy for Medical Image Processing Based on Statistical Shape Model and 3D Thin Plate Spline for Deep Learning. - Zhixian Tang; Kun Chen; Mingyuan Pan; Manning Wang; Zhijian Song (IEEE Access, 2019)

Organ at Risk Segmentation in Head and Neck CT Images Using a Two-Stage Segmentation Framework Based on 3D U-Net. - Yueyue Wang; Liang Zhao 017; Manning Wang; Zhijian Song (IEEE Access, 2019)

Regional-surface-based registration for image-guided neurosurgery: effects of scan modes on registration accuracy. - Yuan Dong; Chenxi Zhang 004; Dafeng Ji; Manning Wang; Zhijian Song (Int. J. Comput. Assist. Radiol. Surg., 2019)

Multi-Modal Image Registration Based on Multi-Feature Mutual Information. - Xueli Liu; Manning Wang; Zhijian Song (J. Medical Imaging Health Informatics, 2019)

Image synthesis-based multi-modal image registration framework by using deep fully convolutional networks. - Xueli Liu; Dongsheng Jiang; Manning Wang; Zhijian Song (Medical Biol. Eng. Comput., 2019)

A Novel Method for the Absolute Pose Problem with Pairwise Constraints. - Yinlong Liu; Xuechen Li 002; Manning Wang; Alois C. Knoll; Guang Chen 001; Zhijian Song (Remote. Sens., 2019)

2D-3D Point Set Registration Based on Global Rotation Search. - Yinlong Liu; Yuan Dong; Zhijian Song; Manning Wang (IEEE Trans. Image Process., 2019)

Point Cloud Overlapping Region Co-Segmentation Network. - Kexue Fu 001; Xiaoyuan Luo; Manning Wang (Preregister@NeurIPS, 2020)

WaveFuse: A Unified Deep Framework for Image Fusion with Wavelet Transform. - Shaolei Liu; Zhijian Song; Manning Wang (CoRR, 2020)

Fast correspondence-based point cloud registration by pair-wise inlier checking and transformation decomposition. - Chen Wang 025; Yuxi Jiang; Manning Wang (Pattern Recognit. Lett., 2020)

Efficient Similarity Point Set Registration by Transformation Decomposition. - Chen Wang 025; Xinrong Chen; Manning Wang (Sensors, 2020)

GORFLM: Globally Optimal Robust Fitting for Linear Model. - Yiru Wang; Yinlong Liu; Xuechen Li 002; Chen Wang 025; Manning Wang; Zhijian Song (Signal Process. Image Commun., 2020)

Quality-Aware Model Ensemble for Brain Tumor Segmentation. - Kang Wang 004; Haoran Wang 009; Zeyang Li; Mingyuan Pan; Manning Wang; Shuo Wang 011; Zhijian Song (BrainLes@MICCAI (2), 2021)

Robust Point Cloud Registration Framework Based on Deep Graph Matching. - Kexue Fu 001; Shaolei Liu; Xiaoyuan Luo; Manning Wang (CVPR, 2021)

WaveFuse: A Unified Unsupervised Framework for Image Fusion with Discrete Wavelet Transform. - Shaolei Liu; Manning Wang; Zhijian Song (ICONIP (4), 2021)

A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds. - Xiaoyuan Luo; Shaolei Liu; Kexue Fu 001; Manning Wang; Zhijian Song (CoRR, 2021)

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. - Liang Pan; Tong Wu; Zhongang Cai; Ziwei Liu 002; Xumin Yu; Yongming Rao; Jiwen Lu; Jie Zhou 001; Mingye Xu; Xiaoyuan Luo; Kexue Fu 001; Peng Gao 007; et al. (CoRR, 2021)

Practical globally optimal consensus maximization by Branch-and-bound based on interval arithmetic. - Yiru Wang; Yinlong Liu; Xuechen Li 002; Chen Wang 025; Manning Wang; Zhijian Song (Pattern Recognit., 2021)

TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning. - Linhao Qu; Shaolei Liu; Manning Wang; Zhijian Song (AAAI, 2022)

Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation. - Hu Cao; Yueyue Wang; Joy Chen; Dongsheng Jiang; Xiaopeng Zhang 008; Qi Tian 001; Manning Wang (ECCV Workshops (3), 2022)

PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration. - Mingzhi Yuan; Zhihao Li; Qiuye Jin; Xinrong Chen; Manning Wang (ECCV (9), 2022)

MTSegNet: Semi-supervised Abdominal Organ Segmentation in CT. - Shiman Li; Siqi Yin; Chenxi Zhang 004; Manning Wang; Zhijian Song (FLARE@MICCAI, 2022)

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification. - Linhao Qu; Xiaoyuan Luo; Shaolei Liu; Manning Wang; Zhijian Song (MICCAI (2), 2022)

Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification. - Linhao Qu; Xiaoyuan Luo; Manning Wang; Zhijian Song (NeurIPS, 2022)

TransFuse: A Unified Transformer-based Image Fusion Framework using Self-supervised Learning. - Linhao Qu; Shaolei Liu; Manning Wang; Shiman Li; Siqi Yin; Qin Qiao; Zhijian Song (CoRR, 2022)

Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning. - Kexue Fu 001; Peng Gao 007; Renrui Zhang; Hongsheng Li 001; Yu Qiao 001; Manning Wang (CoRR, 2022)

POS-BERT: Point Cloud One-Stage BERT Pre-Training. - Kexue Fu 001; Peng Gao 007; Shaolei Liu; Renrui Zhang; Yu Qiao 001; Manning Wang (CoRR, 2022)

Point-McBert: A Multi-choice Self-supervised Framework for Point Cloud Pre-training. - Kexue Fu 001; Mingzhi Yuan; Manning Wang (CoRR, 2022)

Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis. - Linhao Qu; Siyu Liu; Xiaoyu Liu; Manning Wang; Zhijian Song (CoRR, 2022)

Robust Point Cloud Registration Framework Based on Deep Graph Matching(TPAMI Version). - Kexue Fu 001; Jiazheng Luo; Xiaoyuan Luo; Shaolei Liu; Chenxi Zhang 004; Manning Wang (CoRR, 2022)

Globally Optimal Linear Model Fitting with Unit-Norm Constraint. - Yinlong Liu; Yiru Wang; Manning Wang; Guang Chen 001; Alois C. Knoll; Zhijian Song (Int. J. Comput. Vis., 2022)

Self-supervised learning and semi-supervised learning for multi-sequence medical image classification. - Yueyue Wang; Danjun Song; Wentao Wang; Shengxiang Rao; Xiaoying Wang; Manning Wang (Neurocomputing, 2022)

Cold-start active learning for image classification. - Qiuye Jin; Mingzhi Yuan; Shiman Li; Haoran Wang 009; Manning Wang; Zhijian Song (Inf. Sci., 2022)

Deep active learning models for imbalanced image classification. - Qiuye Jin; Mingzhi Yuan; Haoran Wang 009; Manning Wang; Zhijian Song (Knowl. Based Syst., 2022)

Wavelet-based self-supervised learning for multi-scene image fusion. - Shaolei Liu; Linhao Qu; Qin Qiao; Manning Wang; Zhijian Song (Neural Comput. Appl., 2022)

Efficient and Outlier-Robust Simultaneous Pose and Correspondence Determination by Branch-and-Bound and Transformation Decomposition. - Chen Wang 025; Yinlong Liu; Yiru Wang; Xuechen Li 002; Manning Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Deep Graph Matching Based Dense Correspondence Learning Between Non-Rigid Point Clouds. - Jiazheng Luo; Mingzhi Yuan; Kexue Fu 001; Manning Wang; Chenxi Zhang 004 (IEEE Robotics Autom. Lett., 2022)

Group-in-Group Relation-Based Transformer for 3D Point Cloud Learning. - Shaolei Liu; Kexue Fu 001; Manning Wang; Zhijian Song (Remote. Sens., 2022)

Reducing Domain Gap in Frequency and Spatial Domain for Cross-Modality Domain Adaptation on Medical Image Segmentation. - Shaolei Liu; Siqi Yin; Linhao Qu; Manning Wang (AAAI, 2023)

Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification. - Linhao Qu; Zhiwei Yang; Minghong Duan; Yingfan Ma; Shuo Wang 011; Manning Wang; Zhijian Song (ICCV, 2023)

PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration. - Mingzhi Yuan; Kexue Fu 001; Zhihao Li; Yucong Meng; Manning Wang (ICCV, 2023)

Boosting 3D Point Cloud Registration by Transferring Multi-modality Knowledge. - Mingzhi Yuan; Xiaoshui Huang; Kexue Fu 001; Zhihao Li; Manning Wang (ICRA, 2023)

OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification. - Linhao Qu; Yingfan Ma; Zhiwei Yang; Manning Wang; Zhijian Song (MICCAI (2), 2023)

PI-NeRF: A Partial-Invertible Neural Radiance Fields for Pose Estimation. - Zhihao Li; Kexue Fu 001; Haoran Wang 009; Manning Wang (ACM Multimedia, 2023)

The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification. - Linhao Qu; Xiaoyuan Luo; Kexue Fu 001; Manning Wang; Zhijian Song (NeurIPS, 2023)

Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement. - Linhao Qu; Minghong Duan; Zhiwei Yang; Manning Wang; Zhijian Song (CoRR, 2023)

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need. - Linhao Qu; Yingfan Ma; Xiaoyuan Luo; Manning Wang; Zhijian Song (CoRR, 2023)

Knowledge Extraction and Distillation from Large-Scale Image-Text Colonoscopy Records Leveraging Large Language and Vision Models. - Shuo Wang 011; Yan Zhu; Xiaoyuan Luo; Zhiwei Yang; Yizhe Zhang 001; Peiyao Fu; Manning Wang; Zhijian Song; Quanlin Li; Pinghong Zhou; Yike Guo (CoRR, 2023)

A comprehensive survey on deep active learning and its applications in medical image analysis. - Haoran Wang 009; Qiuye Jin; Shiman Li; Siyu Liu; Manning Wang; Zhijian Song (CoRR, 2023)

Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning. - Linhao Qu; Shaolei Liu; Manning Wang; Zhijian Song (Inf. Fusion, 2023)

Robust Point Cloud Registration Framework Based on Deep Graph Matching. - Kexue Fu 001; Jiazheng Luo; Xiaoyuan Luo; Shaolei Liu; Chenxi Zhang 004; Manning Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Dual-Branch Deep Point Cloud Registration Framework for Unconstrained Rotation. - Kexue Fu 001; Zhihao Li; Mingye Xu; Xiaoyuan Luo; Manning Wang (IEEE Trans. Ind. Informatics, 2023)

AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains. - Linhao Qu; Siqi Yin; Shaolei Liu; Xiaoyu Liu; Manning Wang; Zhijian Song (Expert Syst. Appl., 2023)

Density-based one-shot active learning for image segmentation. - Qiuye Jin; Shiman Li; Xiaofei Du 002; Mingzhi Yuan; Manning Wang; Zhijian Song (Eng. Appl. Artif. Intell., 2023)

ProteinMAE: masked autoencoder for protein surface self-supervised learning. - Mingzhi Yuan; Ao Shen; Kexue Fu 001; Jiaming Guan; Yingfan Ma; Qin Qiao; Manning Wang (Bioinform., 2023)

A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation. - Shaolei Liu; Xiaoyuan Luo; Kexue Fu 001; Manning Wang; Zhijian Song (Frontiers Comput. Sci., 2023)

A Structure-Aware Framework of Unsupervised Cross-Modality Domain Adaptation via Frequency and Spatial Knowledge Distillation. - Shaolei Liu; Siqi Yin; Linhao Qu; Manning Wang; Zhijian Song (IEEE Trans. Medical Imaging, 2023)

Transformer-Based Video-Structure Multi-Instance Learning for Whole Slide Image Classification. - Yingfan Ma; Xiaoyuan Luo; Kexue Fu 001; Manning Wang (AAAI, 2024)

Local Implicit Wavelet Transformer for Arbitrary-Scale Super-Resolution. - Minghong Duan; Linhao Qu; Shaolei Liu; Manning Wang (BMVC, 2024)

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification. - Kexue Fu 001; Xiaoyuan Luo; Linhao Qu; Shuo Wang 011; Ying Xiong; Ilias Maglogiannis; Longxiang Gao; Manning Wang (NeurIPS, 2024)

Complementary multi-modality molecular self-supervised learning via non-overlapping masking for property prediction. - Ao Shen; Mingzhi Yuan; Yingfan Ma; Jie Du; Manning Wang (Briefings Bioinform., 2024)

PGBind: pocket-guided explicit attention learning for protein-ligand docking. - Ao Shen; Mingzhi Yuan; Yingfan Ma; Jie Du; Manning Wang (Briefings Bioinform., 2024)

ProteinF3S: boosting enzyme function prediction by fusing protein sequence, structure, and surface. - Mingzhi Yuan; Ao Shen; Yingfan Ma; Jie Du; Bohan An; Manning Wang (Briefings Bioinform., 2024)

Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework. - Linhao Qu; Qiuye Jin; Kexue Fu 001; Manning Wang; Zhijian Song (Biomed. Signal Process. Control., 2024)

Towards Arbitrary-Scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework via Implicit Self-texture Enhancement. - Minghong Duan; Linhao Qu; Zhiwei Yang; Manning Wang; Chenxi Zhang 004; Zhijian Song (CoRR, 2024)

Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training. - Yingfan Ma; Xiaoyuan Luo; Mingzhi Yuan; Xinrong Chen; Manning Wang (CoRR, 2024)

POS-BERT: Point cloud one-stage BERT pre-training. - Kexue Fu 001; Peng Gao 007; Shaolei Liu; Linhao Qu; Longxiang Gao; Manning Wang (Expert Syst. Appl., 2024)

A comprehensive survey on deep active learning in medical image analysis. - Haoran Wang 009; Qiuye Jin; Shiman Li; Siyu Liu; Manning Wang; Zhijian Song (Medical Image Anal., 2024)

Robust Point Cloud Registration via Random Network Co-Ensemble. - Mingzhi Yuan; Kexue Fu 001; Zhihao Li; Yucong Meng; Ao Shen; Manning Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Boosting Point-BERT by Multi-Choice Tokens. - Kexue Fu 001; Mingzhi Yuan; Shaolei Liu; Manning Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks. - Linhao Qu; Shaolei Liu; Manning Wang; Shiman Li; Siqi Yin; Zhijian Song (Expert Syst. Appl., 2024)

Negative Instance Guided Self-Distillation Framework for Whole Slide Image Analysis. - Xiaoyuan Luo; Linhao Qu; Qinhao Guo; Zhijian Song; Manning Wang (IEEE J. Biomed. Health Informatics, 2024)

Decoupled deep hough voting for point cloud registration. - Mingzhi Yuan; Kexue Fu 001; Zhihao Li; Manning Wang (Frontiers Comput. Sci., 2024)

Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation. - Shaolei Liu; Linhao Qu; Siqi Yin; Manning Wang; Zhijian Song (Neural Comput. Appl., 2024)

SS-Pro: a simplified Siamese contrastive learning approach for protein surface representation. - Ao Shen; Mingzhi Yuan; Yingfan Ma; Manning Wang (Frontiers Comput. Sci., 2024)

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier Is All You Need. - Linhao Qu; Yingfan Ma; Xiaoyuan Luo; Qinhao Guo; Manning Wang; Zhijian Song (IEEE Trans. Circuits Syst. Video Technol., 2024)

Dual Focus-Attention Transformer for Robust Point Cloud Registration. - Kexue Fu 001; Mingzhi Yuan; Changwei Wang 001; Weiguang Pang; Jing Chi; Manning Wang; Longxiang Gao (CVPR, 2025)

MDAL: Modality-difference-based active learning for multimodal medical image analysis via contrastive learning and pointwise mutual information. - Haoran Wang 009; Qiuye Jin; Xiaofei Du 002; Liu Wang; Qinhao Guo; Haiming Li; Manning Wang; Zhijian Song (Comput. Medical Imaging Graph., 2025)

SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification. - Yingfan Ma; Mingzhi Yuan; Ao Shen; Xiaoyuan Luo; Bohan An; Xinrong Chen; Manning Wang (Comput. Methods Programs Biomed., 2025)

PPDock: Pocket Prediction-Based Protein-Ligand Blind Docking. - Jie Du; Mingzhi Yuan; Ao Shen; Manning Wang (J. Chem. Inf. Model., 2025)

DDFP: Data-dependent frequency prompt for source free domain adaptation of medical image segmentation. - Siqi Yin; Shaolei Liu; Manning Wang (Knowl. Based Syst., 2025)

Exploring Self-Supervised Learning for 3D Point Cloud Registration. - Mingzhi Yuan; Qiao Huang; Ao Shen; Xiaoshui Huang; Manning Wang (IEEE Robotics Autom. Lett., 2025)

Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision. - Linhao Qu; Shiman Li; Xiaoyuan Luo; Shaolei Liu; Qinhao Guo; Manning Wang; Zhijian Song (CoRR, 2025)