Building binary orientation octree for an arbitrary scattered point set. - Minfeng Xu; Changhe Tu; Wenping Wang 001 (Graph. Model., 2016)

Towards globally optimal normal orientations for thin surfaces. - Minfeng Xu; Shiqing Xin; Changhe Tu (Comput. Graph., 2018)

A Simulation-Based Approach of QoS-Aware Service Selection in Mobile Edge Computing. - Jiwei Huang; Yihan Lan; Minfeng Xu (Wirel. Commun. Mob. Comput., 2018)

An Efficient Surface Remeshing Algorithm Based on Centroidal Power Diagram. - Minfeng Xu; Shiqing Xin; Changhe Tu (ICIT, 2019)

Training Liver Vessel Segmentation Deep Neural Networks on Noisy Labels from Contrast CT Imaging. - Minfeng Xu; Yu Wang 108; Ying Chi; Xiansheng Hua 001 (ISBI, 2020)

Weakly Supervised Organ Localization with Attention Maps Regularized by Local Area Reconstruction. - Heng Guo; Minfeng Xu; Ying Chi; Lei Zhang 006; Xian-Sheng Hua 001 (MICCAI (1), 2020)

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training. - Yicheng Wu 001; Minfeng Xu; Zongyuan Ge; Jianfei Cai 001; Lei Zhang 095 (MICCAI (2), 2021)

Blind motion deblurring via L0 sparse representation. - Menghang Li; Shanshan Gao 003; Chenhao Zhang 001; Minfeng Xu; Caiming Zhang 001 (Comput. Graph., 2021)

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation. - Yicheng Wu 001; Zongyuan Ge; Donghao Zhang; Minfeng Xu; Lei Zhang 095; Yong Xia 001; Jianfei Cai 001 (CoRR, 2021)

Fast exposure fusion of detail enhancement for brightest and darkest regions. - Chunmeng Wang; Chen He; Minfeng Xu (Vis. Comput., 2021)

A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation. - Minfeng Xu; Heng Guo; Jianfeng Zhang; Ke Yan 006; Le Lu 001 (CoRR, 2022)

Mutual consistency learning for semi-supervised medical image segmentation. - Yicheng Wu 001; Zongyuan Ge; Donghao Zhang; Minfeng Xu; Lei Zhang 095; Yong Xia 001; Jianfei Cai 001 (Medical Image Anal., 2022)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (ICCV, 2023)

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. - Yankai Jiang 001; Mingze Sun; Heng Guo; Xiaoyu Bai; Ke Yan 006; Le Lu 001; Minfeng Xu (ICCV, 2023)

Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation. - Zhishan Jiang; Ke Yan 006; Le Lu 001; Minfeng Xu (ISBI, 2023)

Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. - Ke Yan 006; Dakai Jin; Dazhou Guo; Minfeng Xu; Na Shen; Xian-Sheng Hua 001; Xianghua Ye; Le Lu 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. - Jianpeng Zhang; Xianghua Ye; Jianfeng Zhang; Yuxing Tang; Minfeng Xu; Jianfei Guo; Xin Chen 058; Zaiyi Liu; Jingren Zhou 001; Le Lu 001; Ling Zhang 002 (MICCAI (5), 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Jingren Zhou 001; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (CoRR, 2023)

Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation. - Yankai Jiang 001; Mingze Sun; Heng Guo; Ke Yan 006; Le Lu 001; Minfeng Xu (CoRR, 2023)

Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images. - Xiaoyu Bai; Fan Bai 008; Xiaofei Huo; Jia Ge; Tony C. W. Mok; Zi Li; Minfeng Xu; Jingren Zhou 001; Le Lu 001; Dakai Jin; Xianghua Ye; Jingjing Lu; et al. (CoRR, 2023)

Hybrid Optimization-based Cutting Simulation for Soft Objects. - Shi Chen; Runze Yang; Long Ma 009; Minfeng Xu; Yuanfeng Zhou (Comput. Aided Des., 2023)

GBGVD: Growth-based geodesic Voronoi diagrams. - Yunjia Qi; Chen Zong; Yunxiao Zhang; Shuang-Min Chen; Minfeng Xu; Lingqiang Ran; Jian Xu 023; Shiqing Xin; Ying He 001 (Graph. Model., 2023)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. - Wei Fang 005; Yuxing Tang; Heng Guo; Mingze Yuan; Tony C. W. Mok; Ke Yan 006; Jiawen Yao; Xin Chen 058; Zaiyi Liu; Le Lu 001; Ling Zhang 002; Minfeng Xu (CVPR, 2024)

Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans. - Bizhe Bai; Yan-Jie Zhou; Yujian Hu; Tony C. W. Mok; Yilang Xiang; Le Lu 001; Hongkun Zhang; Minfeng Xu (MICCAI (1), 2024)

High-precision teeth reconstruction based on automatic multimodal fusion with CBCT and IOS. - Zhiyuan Ren; Long Ma 009; Minfeng Xu; Guangshun Wei; Shaojie Zhuang 001; Yuanfeng Zhou (Comput. Aided Geom. Des., 2024)

Rapid and Accurate Diagnosis of Acute Aortic Syndrome using Non-contrast CT: A Large-scale, Retrospective, Multi-center and AI-based Study. - Yujian Hu; Yilang Xiang; Yan-Jie Zhou; Yangyan He; Shifeng Yang; Xiaolong Du; Chunlan Den; Youyao Xu; Gaofeng Wang; Zhengyao Ding; Jingyong Huang; Wenjun Zhao; et al. (CoRR, 2024)

A Joint Representation Using Continuous and Discrete Features for Cardiovascular Diseases Risk Prediction on Chest CT Scans. - Minfeng Xu; Chen-Chen Fan; Yan-Jie Zhou; Wenchao Guo; Pan Liu; Jing Qi; Le Lu 001; Hanqing Chao; Kunlun He (CoRR, 2024)

Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. - Heng Guo; Jianfeng Zhang; Jiaxing Huang; Tony C. W. Mok; Dazhou Guo; Ke Yan 006; Le Lu 001; Dakai Jin; Minfeng Xu (AAAI, 2025)

nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark. - Yanfeng Zhou; Lingrui Li; Le Lu 001; Minfeng Xu (CVPR, 2025)

MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. - Ao Li 004; Wei Fang 005; Hongbo Zhao; Le Lu 001; Ge Yang 002; Minfeng Xu (ICLR, 2025)

Med-Query: Steerable Parsing of 9-DoF Medical Anatomies With Query Embedding. - Heng Guo; Jianfeng Zhang; Ke Yan 006; Le Lu 001; Minfeng Xu (IEEE J. Biomed. Health Informatics, 2025)

A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. - Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Dandan Zheng; Heng Guo; Puyang Wang; Ke Yan 006; Yirui Wang 002; Qinji Yu; Zi Li; Minfeng Xu; Jianfeng Zhang; et al. (CoRR, 2025)

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration. - Jiaxing Huang; Heng Guo; Le Lu 001; Fan Yang 081; Minfeng Xu; Ge Yang 002; Wei Luo (CoRR, 2025)

OffsetCrust: Variable-Radius Offset Approximation with Power Diagrams. - Zihan Zhao; Pengfei Wang; Minfeng Xu; Shuangmin Chen; Shiqing Xin; Changhe Tu; Wenping Wang 001 (CoRR, 2025)