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Lanfen Lin
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Publications
- 2023
- [j31]Hongyi Wang, Yingying Xu, Qingqing Chen, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin:
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(10): 4854-4865 (2023) - [j28]Yue Zhang, Chengtao Peng, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, S. Kevin Zhou:
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. IEEE Trans. Medical Imaging 42(10): 3091-3103 (2023) - [c103]Rahul Kumar Jain, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Yinhao Li, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. EMBC 2023: 1-4 - [c100]Yingying Xu, Jiayue Zhao, Qingqing Chen, Fang Wang, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask. EMBC 2023: 1-4 - [c99]Yulin Yang, Yinhao Li, Qingqing Chen, Xian-Hua Han, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. EMBC 2023: 1-4 - [c98]Xianru Zhang, Gan Zhan, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI. GCCE 2023: 16-19 - [c93]Titinunt Kitrungrotsakul, Yingying Xu, Qingqing Chen, Jing Liu, Yinhao Li, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images. MedInfo 2023: 901-905 - [c91]Titinunt Kitrungrotsakul, Qingqing Chen, Huitao Wu, Preeyanuch Srichola, Hongjie Hu, Wenchao Zhu, Chao Chen, Fangyi Xu, Yong Zhou, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19. Medical Imaging: Computer-Aided Diagnosis 2023 - [c90]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. MICCAI (6) 2023: 467-476 - [i24]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. CoRR abs/2303.15749 (2023) - [i20]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. CoRR abs/2312.01099 (2023) - 2022
- [j25]Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen:
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2512-2526 (2022) - [j23]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) - [j22]Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen, Ruofeng Tong, Hongjie Hu:
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. IEEE J. Biomed. Health Informatics 26(8): 3988-3998 (2022) - [c85]Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. EMBC 2022: 1536-1539 - [c84]Swathi Ananda, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images. EMBC 2022: 1552-1555 - [c83]Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong, Lanfen Lin:
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network. EMBC 2022: 2097-2100 - [c82]Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen:
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. GCCE 2022: 926-929 - [c80]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. ICCE 2022: 1-4 - [c78]He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. MICCAI (8) 2022: 214-223 - [i14]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. CoRR abs/2210.14645 (2022) - 2021
- [j16]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) - [j15]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) - [c73]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 - [c71]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 - [c70]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 - [c69]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 - [c68]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 - [c67]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 - [i13]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) - [i9]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) - 2020
- [j14]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) - [j13]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) - [j11]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) - [j10]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) - [c62]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 - [c61]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 - [c60]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 - [c57]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 - [c56]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 - [c54]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 - [i4]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) - 2019
- [j8]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) - [c53]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 - [c52]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 - [c50]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 - [c49]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 - [c48]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 - [c46]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 - [c45]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
- [j7]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) - [c44]Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang:
Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning. DMIP 2018: 56-60 - [c43]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 - [c42]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 - [c41]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 - [c39]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 - [c38]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 - [c37]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
- [j6]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) - [c36]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 - [c34]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 - 2016
- [j3]Chunhua Dong, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu, Xian-Hua Han, Tomoko Tateyama:
Simultaneous Segmentation of Multiple Organs Using Random Walks. J. Inf. Process. 24(2): 320-329 (2016) - [c31]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
A retrieval system for 3D multi-phase contrast-enhanced CT images of focal liver lesions based on combined bags of visual words and texture words. CISP-BMEI 2016: 806-810 - [c28]Yingying Xu, Lanfen Lin, Hongjie Hu, Dan Wang, Yitao Liu, Jian Wang, Xian-Hua Han, Yen-Wei Chen:
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images. ICPR 2016: 2282-2287 - 2015
- [c25]Chunhua Dong, Yen-Wei Chen, Tomoko Tateyama, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Chongwu Jin, Huajun Yu:
A knowledge-based interactive liver segmentation using random walks. FSKD 2015: 1731-1736
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