林兰芬教授
现任浙江大学人工智能研究所副所长。曾担任浙江大学计算机学院院长助理、浙江省“十三五”重大科技研发攻关和成果转化应用咨询专家，浙江省科技厅“十二五”重大科技专项和成果转化工程咨询专家、“十一五”浙江省制造业信息化咨询专家组成员、IFIP WG5.8（国际信息处理联合会企业互操作工作组）成员等，担任TKDE, Neurocomputing，AAAI，MICCAI，CSCWD等多个国际期刊和国际学术会议的评审专家。
近年来主要围绕医学图像处理、大数据分析、推荐系统、数据挖掘等方向开展研究，已发表SCI/EI收录论文100多篇，包括领域顶级或者权威期刊TIP，TMI，TCSVT，JBHI，Frontiers in Neuroscience，Medical physics，Computerized Medical Imaging and Graphics和国际会议ICCV，ICASSP，ECAI，ICMR，MICCAI，SPIE，ISBI，ICPR，ICIP，EMBC等，获得SPIE Medical Imaging 2017，InMed 2015最佳学生论文奖。主持国家973计划项目子课题、国家重点研发计划项目子课题、国家863计划项目、国家科技支撑项目子课题等各类项目40余项；参与的项目获教育部科技进步二等奖1项、中国航空工业总公司部级科技进步三等奖1项、中国电子学会电子信息科学技术奖三等奖1项、2021CCF科学技术奖科技进步优秀奖1项。
联系方式
Email: llf@zju.edu.cn
个人主页
https://person.zju.edu.cn/0096005
代表性论著
2022
1. Yue Zhang, Chengtao Peng, Liying Peng, Yingying Xu, Lanfen Lin, Ruofeng Tong, Zhiyi Peng, Xiongwei Mao, Hongjie Hu, Yen-Wei Chen, Jingsong Li: DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation. IEEE J. Biomed. Health Informatics 26(2): 614-625 (2022)
2. Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin: Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16(4): 74:1-74:20 (2022)
2021
1. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen: Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. IEEE Access 9: 90244-90254 (2021)
2. Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen: Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images. BMC Bioinform. 22(1): 91 (2021)
3. Hao Sun, Jiaqing Liu, Shurong Chai, Zhaolin Qiu, Lanfen Lin, Xinyin Huang, Yen-Wei Chen: Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level. Sensors 21(14): 4764 (2021)
4. Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Ruofeng Tong, Yen-Wei Chen: VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. IEEE Trans. Image Process. 30: 4840-4854 (2021)
5. Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Yutaro Iwamoto, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen: Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. IEEE J. Biomed. Health Informatics 25(7): 2363-2373 (2021)
6. Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong: Medical Image Segmentation With Deep Atlas Prior. IEEE Trans. Medical Imaging 40(12): 3519-3530 (2021)
7. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen: Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2021: 3561-3564
8. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen: Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2021: 3561-3564
9. Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong: Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. ICASSP 2021: 1050-1054
10. Ryo Hasegawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiujun CAI, Yen-Wei Chen: Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN. ICCE 2021: 1-5
11. Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, Zhiyi Peng: Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. MICCAI (1) 2021: 68-77
12. Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong: Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. MICCAI (1) 2021: 131-141
13. Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong: 3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. MICCAI (2) 2021: 416-427
14. Jian Wang, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen: A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial. ICMR 2021: 660-666
15. Yingying Xu, Jing Liu, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen: M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions. ICMR 2021: 667-673
16. Yingying Xu, Ming Cai, Lanfen Lin, Yue Zhang, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong: PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images. CoRR abs/2103.00274 (2021)
17. Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong: Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation. CoRR abs/2103.04235 (2021)
18. Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen: Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer. CoRR abs/2104.14420 (2021)
19. Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin: Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR abs/2107.05884 (2021)
20. Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, Zhiyi Peng: Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. CoRR abs/2108.00911 (2021)
21. Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin: Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR abs/2110.00726 (2021)
22. Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin: Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR abs/2110.01438 (2021)
23. Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin: Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR abs/2110.06736 (2021)
24. Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin: Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR abs/2110.06736 (2021)
2020
1. Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Panyanat Aonpong, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen: Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma. IEEE Access 8: 139212-139220 (2020)
2. Dong Liang, Yingying Xu, Lanfen Lin, Nan Zhou, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen: CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images. Commun. Inf. Syst. 20(4): 415-442 (2020)
3. Yue Zhang, Ruofeng Tong, Dan Song, Xiaobo Yan, Lanfen Lin, Jian Wu: Joined fragment segmentation for fractured bones using GPU-accelerated shape-preserving erosion and dilation. Medical Biol. Eng. Comput. 58(1): 155-170 (2020)
4. Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen: Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions. Pattern Recognit. Lett. 130: 207-215 (2020)
5. Liying Peng, Lanfen Lin, Hongjie Hu, Yue Zhang, Huali Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen: Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. IEEE J. Biomed. Health Informatics 24(8): 2327-2336 (2020)
6. Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen: Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. ACCV Workshops 2020: 18-30
7. Yuan Zhuang, Lanfen Lin, Ruofeng Tong, Jiaqing Liu, Yutaro Iwamoto, Yen-Wei Chen: G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait. ACCV Workshops 2020: 46-57
8. Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui: Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. ECAI 2020: 2536-2542
9. Toshiki Kawahara, Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen: A Lightweight Deep Network for 3D Medical Image Segmentation. GCCE 2020: 663-666
10. Hikari Jinbo, Titinunt Kitrungrotsakul, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen: Development of an Interactive Semantic Medical Image Segmentation System. GCCE 2020: 678-681
11. Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu: UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. ICASSP 2020: 1055-1059
12. Yusuke Yoshinobu, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen: Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images. ICCE 2020: 1-4
13. Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin: Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. ICDM (Workshops) 2020: 127-135
14. Yaopeng Peng, Danny Z. Chen, Lanfen Lin: Visual Relationship Detection With A Deep Convolutional Relationship Network. ICIP 2020: 1461-1465
15. Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu: WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. ISBI 2020: 763-766
16. Ryo Hasegawa, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen: Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN. LifeTech 2020: 231-234
17. Liying Peng, Lanfen Lin, Yusen Lin, Yue Zhang, Roza M. Vlasova, Juan Prieto, Yen-Wei Chen, Guido Gerig, Martin Styner: Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images. ASMUS/PIPPI@MICCAI 2020: 284-294
18. Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen: Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. MICCAI (4) 2020: 429-438
19. Huimin Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Jian Wu: UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. CoRR abs/2004.08790 (2020)
20. Titinunt Kitrungrotsakul, Yutaro Iwamoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen: Interactive Deep Refinement Network for Medical Image Segmentation. CoRR abs/2006.15320 (2020)
21. Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen: VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. CoRR abs/2010.08357 (2020)
22. Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin: Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. CoRR abs/2012.08952 (2020)
2019
1. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Lanfen Lin, Amir Hossein Foruzan, Wei Xiong, Yen-Wei Chen: VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. Comput. Medical Imaging Graph. 75: 74-83 (2019)
2. Liying Peng, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto: Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. IEEE J. Biomed. Health Informatics 23(6): 2526-2536 (2019)
3. Yoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Yen-Wei Chen: Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN. EMBC 2019: 872-875
4. Weibin Wang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin, Yen-Wei Chen: Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data. EMBC 2019: 4881-4884
5. Dong Liang, Lanfen Lin, Rui Wang, Jie Shao, Changhu Wang, Yen-Wei Chen: Unsupervised Teacher-Student Model for Large-Scale Video Retrieval. ICCV Workshops 2019: 1863-1867
6. Xiao Chen, Jian Wu, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong: A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. ICIP 2019: 235-239
7. Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen: Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images. ICIP 2019: 794-798
8. Jian Song, Sihang Zhu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen: Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images. ICNC-FSKD 2019: 601-608
9. Shaofang Zhou, Lanfen Lin, Junkun Yuan, Feng Wang, Zhaoting Ling, Jia Cui: CNN-based DGA Detection with High Coverage. ISI 2019: 62-67
10. Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu: A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. DART/MIL3ID@MICCAI 2019: 129-138
11. Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu: Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior. MICCAI (6) 2019: 148-156
2018
1. Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Wenchao Zhu, Jian Wang, Xian-Hua Han, Yen-Wei Chen: Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images. Int. J. Comput. Assist. Radiol. Surg. 13(1): 151-164 (2018)
2. Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen: Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks. ICIP 2018: 3119-3123
3. Titinunt Kitrungrotsakul, Yutaro Iwamoto, Xian-Hua Han, Wei Xiong, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen: Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. IIMSS 2018: 216-222
4. Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen: Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification. DLMIA/ML-CDS@MICCAI 2018: 38-46
5. Xian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen: Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. MLMI@MICCAI 2018: 134-142
6. Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen: Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images. MICCAI (2) 2018: 666-675
7. Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yen-Wei Chen: Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images. PCM (2) 2018: 696-704
8. Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen: Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions. PRICAI (1) 2018: 617-628
2017
1. Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen: Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images. Int. J. Biomed. Imaging 2017: 1413297:1-1413297:13 (2017)
2. Jing Wang, Lanfen Lin, Heng Zhang, Jiaqi Tu, Penghua Yu: A novel confidence estimation method for heterogeneous implicit feedback. Frontiers Inf. Technol. Electron. Eng. 18(11): 1817-1827 (2017)
3. Penghua Yu, Lanfen Lin, Jing Wang: A novel framework to alleviate the sparsity problem in context-aware recommender systems. New Rev. Hypermedia Multim. 23(2): 141-158 (2017)
4. Liying Peng, Lanfen Lin, Hongjie Hu, Xiaoli Ling, Dan Wang, Xian-Hua Han, Yen-Wei Chen: Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images. ICIP 2017: 2050-2054
5. Feng Wang, Lanfen Lin: Exploiting semantic knowledge base for patent retrieval. ICNC-FSKD 2017: 2195-2200
6. Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen: Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images. ISM 2017: 507-510
7. Titinunt Kitrungrotsakul, Xian-Hua Han, Yutaro Iwamoto, Amir Hossein Foruzan, Lanfen Lin, Yen-Wei Chen: Robust hepatic vessel segmentation using multi deep convolution network. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013711
2016
1. Jian Wang, Xianhua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen, Patch-based codebook model for focal liver lesions retrieval of multiphase medical volumes, International Journal of Computer Assisted Radiology and Surgery, Vol.11, Suppl. S12-S13, 2016 (Heidelberg, Germany, June 21-25, 2016).
2. Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xianhua Han, Yen-Wei Chen, Bag of Temporal Co-occurrence Words for Retrieval of Focal Liver Lesions Using 3D Multiphase Contrast-enhanced CT Images, ICPR2016
3. Jian Wang, Xianhua Han, YingyingXu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen: Patch-based codebook model for focal liver lesions retrieval of multiphase medical volumes, 30th International Congress and Exhibition Heidelberg on Computer Assisted Radiology and Surgery, CARS 2016, Germary, 2016.06.21-06.25
4. Yu Konno, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yitao Liu, Wenchao Zhu, Yen-Wei Chen， Bayesian Model for Liver Tumor Enhancement, 4th International KES Conference on Innovation in Medicine and Healthcare , InMed 2016, Tenerif, Spain, 2016.06.15-06.17
5. YingyingXu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xianhua Han, Yen-Wei Chen，A Retrieval System for 3D Multi-Phase Contrast-Enhanced CT Images of Focal Liver Lisions Based on Combined Bags of Visual Words and Texture Words, 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics ,CISP-BMEI 2016, Daton, China, 2016.10.15-10.17
6. Chunhua Dong , Yen-wei Chen , Lanfen Lin, Hongjie Hu, et. al., Simultaneous Segmentation of Multiple Organs using RandomWalks，Journal of Information Processing Society of Japan, 2016,24(2):320-329
7. Penghua Yu, Lanfen Lin, SeBPR: Semantics enhanced Bayesian PersonalizedRanking with Comparable Item Pairs，2016 IEEE 16th International Conference on Data Mining (2016 ICDM) Workshops, 2016:1015-1022
8. Penghua Yu, Lanfen Lin, Jing Wang. A Novel Framework to Alleviate the Sparsity Problem for Context-aware Recommender System, New Review of Hypermedia and Multimedia, 10.1080/13614568.2016.1152319
9. Jing Wang, Lanfen Lin, Heng Zhang, Jiaqi Tu. Confidence-learning based collaborative filtering with heterogeneous implicit feedbacks. Proceedings of the 18th Asia-Pacific Web Conference (APWeb), 2016: 444-455
2015
1. Chunhua Dong , Yen-wei Chen , Amir Hossein Foruzan , Lanfen Lin , Xian-hua Han , Tomoko Tateyama , Xing Wu , Gang Xu , Hui yan Jiang， Segmentation of liver and spleen based on computational anatomy models，Computers in Biology and Medicine，2015,67，PP.146–160
2. 林兰芬,王瑞松,于鹏华.基于GIS的农田小气候环境可视监测系统.农业机械学报,2015,46(3):254-260
3. 林兰芬，于鹏华，李泽洋. 基于聚类的农产品流通过程感知时空数据可视化技术，农业工程学报, 2015,31(3):228-235
4. Penghua Yu, Lanfen Lin, Zeyang Li. Human Factors Based Partitioning versus Data Clustering for Recommendations. 2015 IEEE/WIC/ACM International Conference on Web Intelligence, December 6-9 2015 ,Singapore, PP.276-279
5. Yingying Xu, Lanfen Lin, Hongjie Hu, Huajun Yu, Chongwu Jin, Jian Wang, Xianhua Han, Yen-Wei Chen, Combined Density, Texture and Shape Features of Multi-Phase Contrast-Enhanced CT Images for CBIR of Focal Liver Lesions: A Preliminary Study，InMed 2015，11 – 12 September 2015, Kyoto, Japan，PP.215-224 (Best Student paper Award)
6. Yu Penghua, Lin Lanfen, Wang Jing. User Preference Quantity versus Recommendation Performance: A Preliminary Study. International Conference on Big Data Intelligence and Computing (DataCom 2015)
7. Jing Wang, Lanfen Lin, Penghua Yu, Heng Zhang. Brand Recommendation Leveraging Heterogeneous Implicit Feedbacks, 2015 IEEE Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)
8. Feng Wang, Lanfen Lin. Query Construction Based on Concept Importance for Effective Patent Retrieval. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'15)
2014
1. F.Wang, L.F.Lin, M.Tang, A New Sketch-based 3D Model Retrieval by Using Global and Local Features. Graphical Models, Available online 27 November 2013. DOI:10.1016/j.gmod.2013.11.002.
2. P. Yu, L. Lin, F. Wang, J. Wang, and M. Wang，Improving Recommendations with Collaborative Factors，LNCS 8485, p. 30 ff.
3. Jiaolong Liu, Lanfen Lin, Jing Wang,Meng Wang, Xintian Wang. A Novel Status-aware Based Maintenance System for Intelligent High-Speed Train (NSMS). NICST2014.
4. Wang Meng, Lin Lanfen, Wang Feng. New Word Identification in Social Network Text based on Time Series Information 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2014
5. Wang Meng, Lin Lanfen, Wang Jing, et al. Improving Short Text Classification Using Public Search Engines. Proceedings of the 2013 3rd International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making (IUKM), 2013: pp. 157-166.
6. Wang Meng, Lin Lanfen, Wang Feng. Improving Short Text Classification through Better Feature Space Selection. Proceedings of the 2013 9th International Conference on Computational Intelligence and Security (CIS), 2013: pp. 120-124.
7. 蒋湛，姚晓明，林兰芬. 一种基于特征自适应的本体映射方法研究. 浙江大学学报（工学版）, Vol.48, No.1, pp.76-84, 2014.
8. 王蒙，林兰芬，王锋.基于伪相关反馈的短文本扩展与分类.浙江大学学报（工学版）
2013
1. Y. G. Yao, L. Lin, F. Wang, and W. Zhang, Multi-perspective modeling: managing heterogeneous manufacturing knowledge based on ontologies and topic maps. International Journal of Production Research. 51(11),2013,PP. 3252-3269. (DOI:10.1080/00207543.2012.756152)
2. F. Wang, L.F. Lin, S. Yang, X.W. Zhu, A Semantic Query Expansion-based Patent Retrieval Approach. 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2013.7.23-25, pp.595-600, 2013.
3. J. Wang, L.F. Lin, F. Wang, Extracting Novel Features for E-commerce Page Quality Classification. The 9th International Conference on Advanced Data Mining and Applications (ADMA 2013), 2013.12.14-16, pp.120-124, Hangzhou, China。
2012
1. Zhang, W. Y., Yin, J. W., Cai, M., Wu, J. and Lin, L. F., Manufacturing Deep Web Service Management: Exploring Semantic Web Technologies, IEEE Industrial Electronics Magazine, 2012 vol. 6, pp. 38-51.
2. Wang, F., Wang, M., Yang S., Lin, L.F., Research on Semantic-based Knowledge Service for Cluster Supply Chain, IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2012), pp. 505-511.
3. Jiang, Z., Lin, L.F., Wang, G.R., Yang S., Research on Enterprise Interoperability for Cluster Supply Chain, IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2012), pp. 519-526.
4. Jiang Zhan, Lin Lanfen, XieFei. Research on Semantic Interoperability for Business Collaboration. IWEI 2012, LNBIP 122,pp.201-208,2012.
2011
1. Lin, L. F., Zhang, W. Y., Lou, Y. C., Chu, C. Y. and Cai, M., Developing manufacturing ontologies for knowledge reuse in distributed manufacturing environment. International Journal of Production Research, 2011, 49(2), 343-359.
2. 姚原岗，林兰芬，董金祥，异质工程文档多维关联的语义检索方法，浙江大学学报（工学版）, 45(2): 267-272, 2011.
3. Yao, Y.G. and Lin, L. F., Semantic Context Enrichment and Shifting Based on Multi-dimensional Association, International Conference on Computers, Networks, Systems and Industrial Engineering (CNSI 2011), pp. 26-30.
2010
1. Zhan Jiang, Meng Wang, Lanfen Lin, Research on service-oriented reconfigurable business collaboration platform for cluster supply chain, ICMA2010, 2010.12,203-209
2. F. Wang, L. Lin and Z. Yang, An Ontology-based Automatic Semantic Annotation Approach for Patent Document Retrieval in Product Innovation Design, Energy Procedia, vol. 13, pp. 790-800, 2011.
2009
1. Zhang, W. Y., Yin, J. W., Lin, L. F., Zhu, T. H., Towards a general ontology of multidisciplinary collaborative design for Semantic Web applications. International Journal of Computer Integrated Manufacturing, v 22, n 12, p 1144-1153, December 2009
2. Yuangang Yao, Lanfen Lin, Jinxiang Dong，Research on Ontology-based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise，I-ESA 2009，P.277-282
3. 林兰芬，欧冠男，陆俊虎，多约束条件下自动配棉的混合遗传算法研究，浙江大学学报(工学版)，2009，Vol.43, No.5, PP. 801-806
4. 董金祥，张文宇，林兰芬等，基于语义的面向服务的知识管理与处理，浙江大学出版社，2009.8
2008及以前
1. 楼轶超，林兰芬，董金祥，语义驱动的集成化产品建模,计算机辅助设计与图形学学报,2008,Vol.20,No.3,P.366-373
2. Lou, Yi-Chao; Lin, Lan-Fen; Dong, Jin-Xiang; Research on Ontology-based Integrated Product modeling in Multidisciplinary Collaborative Environment，Computer Supported Cooperative Work in Design, 2007. CSCWD 2007. 11th International Conference on，26-28 April 2007 Page(s):698 – 702
3. Zhang WY, Lin LF, Qiu J, Tong RF, Dong JX，An ontology-based functional modeling approach for multi-agent distributed design on the semantic web ，LECTURE NOTES IN COMPUTER SCIENCE 3865: 334-343 2006
4. Xu ZM, Cai M, Lin LF, Dong JX，Screen-sharing technology for cooperative CAPP system in a networked manufacturing environment ，LECTURE NOTES IN COMPUTER SCIENCE 3865: 375-383 2006
5. Dai, Jian-Hua; Cai, Ming; Lin, Lan-Fen; Dong, Jin-Xiang, 面向网络化制造的ASP服务平台若干关键技术研究, 计算机集成制造系统-CIMS, v 11, n 1, January, 2005, p 48-52。