Research on Technology of Product Data Exchange for Internet-Based Distributed Integrated Manufacturing System. - Peng Gao; Lanfen Lin; Jinxiang Dong; Ming Cai (CSCWD, 2002)

Design, modeling and trajectory generation of a kind of four wheeled omni-directional vehicle. - Zhenfeng He; Lanfen Lin; Xueying Ma (SMC (7), 2004)

Study of ASP service lifecycle management technologies for networked manufacturing system. - Yu Chen; Ming Cai; Lanfen Lin; Jinxiang Dong (CSCWD (2), 2005)

Integrated product modeling based on Web services in distributed environment. - Lanfen Lin; Yi-Chao Lou; Wen-Yu Zhang; Peng Gao; Jinxiang Dong (CSCWD (1), 2005)

Screen-Sharing Technology for Cooperative CAPP System in a Networked Manufacturing Environment. - Zhaomin Xu; Ming Cai; Lanfen Lin; Jinxiang Dong (CSCWD (Selected papers), 2005)

Study of networked manufacturing oriented cooperative CAPP system. - Zhaomin Xu; Ming Cai; Lanfen Lin; Jinxiang Dong (CSCWD (2), 2005)

An Ontology-Based Functional Modeling Approach for Multi-agent Distributed Design on the Semantic Web. - Wenyu Zhang; Lanfen Lin; Jiong Qiu; Ruofeng Tong 001; Jinxiang Dong (CSCWD (Selected papers), 2005)

Water Droplet Morphing Combining Rigid Transformation. - Lanfen Lin; Shenghui Liao; Ruofeng Tong 001; Jinxiang Dong (International Conference on Computational Science (1), 2005)

Research on Ontology-based Integrated Product modeling in Multidisciplinary Collaborative Environment. - Yi-Chao Lou; Lanfen Lin; Jinxiang Dong (CSCWD, 2007)

Research on Mass Process-Planning Data Storing and Parallel Accessing in Large-Scale Manufacturing Enterprise. - Meng Wang; Yi Dong; Zhan Jiang; Lanfen Lin (DET, 2009)

Research on Ontology-Based Multi-source Engineering Information Retrieval in Integrated Environment of Enterprise. - Yuangang Yao; Lanfen Lin; Jinxiang Dong (IESA, 2009)

Research on enterprise interoperability for cluster supply chain. - Zhan Jiang; Lanfen Lin; Guorong Wang; Shuai Yang (CSCWD, 2012)

Research on semantic-based knowledge service for cluster supply chain. - Feng Wang; Meng Wang; Shuai Yang; Lanfen Lin (CSCWD, 2012)

Research on Semantic Interoperability for Business Collaboration. - Zhan Jiang; Lanfen Lin; Fei Xie (IWEI, 2012)

A fluid/cloth coupling method for high velocity collision simulation. - Peng Du; Min Tang 001; Chang Meng; Ruofeng Tong 001; Lanfen Lin (VRCAI, 2012)

Extracting Novel Features for E-Commerce Page Quality Classification. - Jing Wang 025; Lanfen Lin; Feng Wang; Penghua Yu; Jiaolong Liu; Xiaowei Zhu (ADMA (1), 2013)

Improving Short Text Classification through Better Feature Space Selection. - Meng Wang 016; Lanfen Lin; Feng Wang (CIS, 2013)

A semantic query expansion-based patent retrieval approach. - Feng Wang; Lanfen Lin; Shuai Yang; Xiaowei Zhu (FSKD, 2013)

Improving Short Text Classification Using Public Search Engines. - Meng Wang 016; Lanfen Lin; Jing Wang 025; Penghua Yu; Jiaolong Liu; Fei Xie (IUKM, 2013)

New word identification in social network text based on time series information. - Meng Wang 016; Lanfen Lin; Feng Wang (CSCWD, 2014)

A unified latent factor correction scheme for collaborative filtering. - Penghua Yu; Lanfen Lin; Ruisong Wang; Jing Wang 025; Feng Wang (FSKD, 2014)

Improving Recommendations with Collaborative Factors. - Penghua Yu; Lanfen Lin; Feng Wang; Jing Wang 025; Meng Wang 016 (WAIM, 2014)

A new sketch-based 3D model retrieval approach by using global and local features. - Feng Wang; Lanfen Lin; Min Tang 001 (Graph. Model., 2014)

A knowledge-based interactive liver segmentation using random walks. - Chunhua Dong; Yen-Wei Chen 001; Tomoko Tateyama; Xian-Hua Han; Lanfen Lin; Hongjie Hu; Chongwu Jin; Huajun Yu (FSKD, 2015)

Query construction based on concept importance for effective patent retrieval. - Feng Wang; Lanfen Lin (FSKD, 2015)

User Preference Quantity versus Recommendation Performance: A Preliminary Study. - Penghua Yu; Lanfen Lin; Jing Wang 025 (SmartCity, 2015)

Human Factors Based Partitioning Versus Data Clustering for Recommendations. - Penghua Yu; Lanfen Lin; Zeyang Li (WI-IAT (1), 2015)

Segmentation of liver and spleen based on computational anatomy models. - Chunhua Dong; Yen-Wei Chen 001; Amir Hossein Foruzan; Lanfen Lin; Xian-Hua Han; Tomoko Tateyama; Xing Wu 001; Gang Xu; Huiyan Jiang (Comput. Biol. Medicine, 2015)

Confidence-Learning Based Collaborative Filtering with Heterogeneous Implicit Feedbacks. - Jing Wang 025; Lanfen Lin; Heng Zhang; Jiaqi Tu (APWeb (1), 2016)

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. - Yingying Xu; Lanfen Lin; Hongjie Hu; Dan Wang; Yitao Liu; Jian Wang 004; Xian-Hua Han; Yen-Wei Chen 001 (CISP-BMEI, 2016)

SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs. - Penghua Yu; Lanfen Lin (ICDM Workshops, 2016)

Domain lexicon-based query expansion for patent retrieval. - Feng Wang; Lanfen Lin (ICNC-FSKD, 2016)

Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images. - Yingying Xu; Lanfen Lin; Hongjie Hu; Dan Wang; Yitao Liu; Jian Wang 004; Xian-Hua Han; Yen-Wei Chen 001 (ICPR, 2016)

A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems. - Penghua Yu; Lanfen Lin; Yuangang Yao (WAIM (1), 2016)

Simultaneous Segmentation of Multiple Organs Using Random Walks. - Chunhua Dong; Yen-Wei Chen 001; Lanfen Lin; Hongjie Hu; Chongwu Jin; Huajun Yu; Xian-Hua Han; Tomoko Tateyama (J. Inf. Process., 2016)

Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images. - Liying Peng; Lanfen Lin; Hongjie Hu; Xiaoli Ling; Dan Wang; Xian-Hua Han; Yen-Wei Chen 001 (ICIP, 2017)

Exploiting semantic knowledge base for patent retrieval. - Feng Wang; Lanfen Lin (ICNC-FSKD, 2017)

Tensor Sparse Representation of Temporal Features for Content-Based Retrieval of Focal Liver Lesions Using Multi-phase Medical Images. - Jian Wang 004; Xian-Hua Han; Yingying Xu; Lanfen Lin; Hongjie Hu; Chongwu Jin; Yen-Wei Chen 001 (ISM, 2017)

Robust hepatic vessel segmentation using multi deep convolution network. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Amir Hossein Foruzan; Lanfen Lin; Yen-Wei Chen 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images. - Jian Wang 004; Xian-Hua Han; Yingying Xu; Lanfen Lin; Hongjie Hu; Chongwu Jin; Yen-Wei Chen 001 (Int. J. Biomed. Imaging, 2017)

A novel confidence estimation method for heterogeneous implicit feedback. - Jing Wang 025; Lanfen Lin; Heng Zhang; Jiaqi Tu; Penghua Yu (Frontiers Inf. Technol. Electron. Eng., 2017)

A novel framework to alleviate the sparsity problem in context-aware recommender systems. - Penghua Yu; Lanfen Lin; Jing Wang 025 (New Rev. Hypermedia Multim., 2017)

Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning. - Weibin Wang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Qingqing Chen 001; Dong Liang; Lanfen Lin; Hongjie Hu; Qiaowei Zhang (DMIP, 2018)

Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks. - Liying Peng; Lanfen Lin; Hongjie Hu; Huali Li; Xiaoli Ling; Dan Wang; Xianhua Han; Yutaro Iwamoto; Yen-Wei Chen 001 (ICIP, 2018)

Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Xian-Hua Han; Wei Xiong 001; Lanfen Lin; Hongjie Hu; Huiyan Jiang; Yen-Wei Chen 001 (IIMSS, 2018)

Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition. - Xian-Hua Han; JiandDe Sun; Lanfen Lin; Yen-Wei Chen 001 (MLMI@MICCAI, 2018)

Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images. - Dong Liang; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (MICCAI (2), 2018)

Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification. - Liying Peng; Lanfen Lin; Hongjie Hu; Huali Li; Qingqing Chen 001; Dan Wang; Xian-Hua Han; Yutaro Iwamoto; Yen-Wei Chen 001 (DLMIA/ML-CDS@MICCAI, 2018)

Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images. - Jian Wang 004; Xian-Hua Han; Jiande Sun 001; Lanfen Lin; Hongjie Hu; Yingying Xu; Qingqing Chen 001; Yen-Wei Chen 001 (PCM (2), 2018)

Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions. - Dong Liang; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (PRICAI (1), 2018)

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. - Yingying Xu; Lanfen Lin; Hongjie Hu; Dan Wang; Wenchao Zhu; Jian Wang 004; Xian-Hua Han; Yen-Wei Chen 001 (Int. J. Comput. Assist. Radiol. Surg., 2018)

Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN. - Yoshihiro Todoroki; Yutaro Iwamoto; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (EMBC, 2019)

Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data. - Weibin Wang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Qiaowei Zhang; Hongjie Hu; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2019)

Unsupervised Teacher-Student Model for Large-Scale Video Retrieval. - Dong Liang; Lanfen Lin; Rui Wang; Jie Shao 006; Changhu Wang; Yen-Wei Chen 001 (ICCV Workshops, 2019)

A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images. - Xiao Chen 016; Jian Wu; Lanfen Lin; Dong Liang; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (ICIP, 2019)

Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images. - Dong Liang; Ruofeng Tong 001; Jian Wu; Lanfen Lin; Xiao Chen 016; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001 (ICIP, 2019)

Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images. - Jian Song; Sihang Zhu; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (ICNC-FSKD, 2019)

CNN-based DGA Detection with High Coverage. - Shaofang Zhou; Lanfen Lin; Junkun Yuan; Feng Wang; Zhaoting Ling; Jia Cui (ISI, 2019)

A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images. - Xiao Chen 016; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Ruofeng Tong 001; Jian Wu (DART/MIL3ID@MICCAI, 2019)

Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior. - Han Zheng; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Ruofeng Tong 001; Jian Wu (MICCAI (6), 2019)

VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation. - Titinunt Kitrungrotsakul; Xian-Hua Han; Yutaro Iwamoto; Lanfen Lin; Amir Hossein Foruzan; Wei Xiong 001; Yen-Wei Chen 001 (Comput. Medical Imaging Graph., 2019)

Classification and Quantification of Emphysema Using a Multi-Scale Residual Network. - Liying Peng; Yen-Wei Chen 001; Lanfen Lin; Hongjie Hu; Huali Li; Qingqing Chen 001; Xiaoli Ling; Dan Wang; Xianhua Han; Yutaro Iwamoto (IEEE J. Biomed. Health Informatics, 2019)

Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. - Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Yen-Wei Chen 001 (ACCV Workshops, 2020)

G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait. - Yuan Zhuang; Lanfen Lin; Ruofeng Tong 001; Jiaqing Liu; Yutaro Iwamoto; Yen-Wei Chen 001 (ACCV Workshops, 2020)

Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. - Junkun Yuan; Shaofang Zhou; Lanfen Lin; Feng Wang; Jia Cui (ECAI, 2020)

Development of an Interactive Semantic Medical Image Segmentation System. - Hikari Jinbo; Titinunt Kitrungrotsakul; Yutaro Iwamoto; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (GCCE, 2020)

A Lightweight Deep Network for 3D Medical Image Segmentation. - Toshiki Kawahara; Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Yen-Wei Chen 001 (GCCE, 2020)

UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation. - Huimin Huang 002; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Jian Wu (ICASSP, 2020)

Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images. - Yusuke Yoshinobu; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Yen-Wei Chen 001 (ICCE, 2020)

Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. - Yuting Chen; Yanshi Wang; Yabo Ni; Anxiang Zeng; Lanfen Lin (ICDM (Workshops), 2020)

Visual Relationship Detection With A Deep Convolutional Relationship Network. - Yaopeng Peng; Danny Z. Chen; Lanfen Lin (ICIP, 2020)

WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation. - Huimin Huang 002; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Jian Wu (ISBI, 2020)

Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN. - Ryo Hasegawa; Yutaro Iwamoto; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (LifeTech, 2020)

Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks. - Shaocong Mo; Ming Cai; Lanfen Lin; Ruofeng Tong 001; Qingqing Chen 001; Fang Wang 030; Hongjie Hu; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (MICCAI (4), 2020)

Multi-modal Perceptual Adversarial Learning for Longitudinal Prediction of Infant MR Images. - Liying Peng; Lanfen Lin; Yusen Lin; Yue Zhang 042; Roza M. Vlasova; Juan Prieto 001; Yen-Wei Chen 001; Guido Gerig; Martin Styner (ASMUS/PIPPI@MICCAI, 2020)

Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma. - Weibin Wang; Qingqing Chen 001; Yutaro Iwamoto; Panyanat Aonpong; Lanfen Lin; Hongjie Hu; Qiaowei Zhang; Yen-Wei Chen 001 (IEEE Access, 2020)

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. - Dong Liang; Yingying Xu; Lanfen Lin; Nan Zhou; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Xianhua Han; Yutaro Iwamoto; Yen-Wei Chen 001 (Commun. Inf. Syst., 2020)

Interactive Deep Refinement Network for Medical Image Segmentation. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (CoRR, 2020)

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. - Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2020)

Joined fragment segmentation for fractured bones using GPU-accelerated shape-preserving erosion and dilation. - Yue Zhang 042; Ruofeng Tong 001; Dan Song 006; Xiaobo Yan; Lanfen Lin; Jian Wu (Medical Biol. Eng. Comput., 2020)

Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions. - Jian Wang 004; Jing Li 046; Xian-Hua Han; Lanfen Lin; Hongjie Hu; Yingying Xu; Qingqing Chen 001; Yutaro Iwamoto; Yen-Wei Chen 001 (Pattern Recognit. Lett., 2020)

Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations. - Liying Peng; Lanfen Lin; Hongjie Hu; Yue Zhang 042; Huali Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2020)

Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. - Panyanat Aonpong; Yutaro Iwamoto; Xian-Hua Han; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2021)

Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation. - Huimin Huang 002; Ming Cai; Lanfen Lin; Jing Zheng; Xiongwei Mao; Xiaohan Qian; Zhiyi Peng; Jianying Zhou 006; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (ICASSP, 2021)

Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN. - Ryo Hasegawa; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiujun Cai; Yen-Wei Chen 001 (ICCE, 2021)

Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network with Bilateral Graph Convolution. - Huimin Huang 002; Lanfen Lin; Yue Zhang 042; Yingying Xu; Jing Zheng; Xiongwei Mao; Xiaohan Qian; Zhiyi Peng; Jianying Zhou 006; Yen-Wei Chen 001; Ruofeng Tong 001 (ICCV, 2021)

3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution. - Huimin Huang 002; Nan Zhou; Lanfen Lin; Hongjie Hu; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (MICCAI (2), 2021)

Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. - Hongyi Wang 002; Lanfen Lin; Hongjie Hu; Qingqing Chen 001; Yinhao Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (MICCAI (1), 2021)

Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting. - Yue Zhang 042; Chengtao Peng; Liying Peng; Huimin Huang 002; Ruofeng Tong 001; Lanfen Lin; Jingsong Li 001; Yen-Wei Chen 001; Qingqing Chen 001; Hongjie Hu; Zhiyi Peng (MICCAI (1), 2021)

A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial. - Jian Wang 004; Xian-Hua Han; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (ICMR, 2021)

M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions. - Yingying Xu; Jing Liu 041; Lanfen Lin; Hongjie Hu; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (ICMR, 2021)

Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer. - Panyanat Aonpong; Yutaro Iwamoto; Xian-Hua Han; Lanfen Lin; Yen-Wei Chen 001 (IEEE Access, 2021)

Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images. - Titinunt Kitrungrotsakul; Yutaro Iwamoto; Satoko Takemoto; Hideo Yokota; Sari Ipponjima; Tomomi Nemoto; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (BMC Bioinform., 2021)

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images. - Yingying Xu; Ming Cai; Lanfen Lin; Yue Zhang 042; Hongjie Hu; Zhiyi Peng; Qiaowei Zhang; Qingqing Chen 001; Xiongwei Mao; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; et al. (CoRR, 2021)

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. - Junkun Yuan; Xu Ma; Kun Kuang; Ruoxuan Xiong; Mingming Gong; Lanfen Lin (CoRR, 2021)

Do We Need to Directly Access the Source Datasets for Domain Generalization? - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (CoRR, 2021)

Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level. - Hao Sun 013; Jiaqing Liu; Shurong Chai; Zhaolin Qiu; Lanfen Lin; Xinyin Huang; Yen-Wei Chen 001 (Sensors, 2021)

VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. - Yinhao Li; Yutaro Iwamoto; Lanfen Lin; Rui Xu 002; Ruofeng Tong 001; Yen-Wei Chen 001 (IEEE Trans. Image Process., 2021)

Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19. - Titinunt Kitrungrotsakul; Qingqing Chen 001; Huitao Wu; Yutaro Iwamoto; Hongjie Hu; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; et al. (IEEE J. Biomed. Health Informatics, 2021)

Medical Image Segmentation With Deep Atlas Prior. - Huimin Huang 002; Han Zheng; Lanfen Lin; Ming Cai; Hongjie Hu; Qiaowei Zhang; Qingqing Chen 001; Yutaro Iwamoto; Xianhua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (IEEE Trans. Medical Imaging, 2021)

Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images. - Swathi Ananda; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (EMBC, 2022)

Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; Takahiro Sato; Taro Watasue; Tomohiro Nakagawa; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Xiang Ruan; Yen-Wei Chen 001 (EMBC, 2022)

Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network. - Yulin Yang; Yutaro Iwamoto; Yen-Wei Chen 001; Caie Xu; Qingqing Chen 001; Hongjie Hu; Xian-Hua Han; Ruofeng Tong 001; Lanfen Lin (EMBC, 2022)

Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. - Weibin Wang; Fang Wang 030; Yunjun Yang; Yinhao Li; Jing Liu 041; Xianhua Han; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Yen-Wei Chen 001 (GCCE, 2022)

Mixed Transformer U-Net for Medical Image Segmentation. - Hongyi Wang 002; Shiao Xie; Lanfen Lin; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (ICASSP, 2022)

A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Ruofeng Tong 001; Hongjie Hu; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (ICCE, 2022)

ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (IJCAI, 2022)

An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (MICCAI (8), 2022)

CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation. - Hao Sun 013; Hongyi Wang 002; Jiaqing Liu; Yen-Wei Chen 001; Lanfen Lin (ACM Multimedia, 2022)

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (ACM Multimedia, 2022)

Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer. - Yinhao Li; Yutaro Iwamoto; Ryousuke Nakamura; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001 (CoRR, 2022)

CubeMLP: A MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation. - Hao Sun 013; Hongyi Wang 002; Jiaqing Liu; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2022)

Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. - Hongyi Wang 002; Lanfen Lin; Hongjie Hu; Qingqing Chen 001; Yinhao Li; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001; Ruofeng Tong 001 (CoRR, 2022)

A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT. - Shurong Chai; Jiaqing Liu; Rahul Kumar Jain 001; Tomoko Tateyama; Yutaro Iwamoto; Lanfen Lin; Yen-Wei Chen 001 (Neurocomputing, 2022)

Attention-based cross-layer domain alignment for unsupervised domain adaptation. - Xu Ma; Junkun Yuan; Yen-Wei Chen 001; Ruofeng Tong 001; Lanfen Lin (Neurocomputing, 2022)

Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation. - Shaocong Mo; Ming Cai; Lanfen Lin; Ruofeng Tong 001; Qingqing Chen 001; Fang Wang 030; Hongjie Hu; Yutaro Iwamoto; Xian-Hua Han; Yen-Wei Chen 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

CoSTHR: A Heart Rate Estimating Network With Adaptive Color Space Transformation. - Zhaolin Qiu; Jiaqing Liu; Hao Sun 013; Lanfen Lin; Yen-Wei Chen 001 (IEEE Trans. Instrum. Meas., 2022)

MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images. - Huimin Huang 002; Qingqing Chen 001; Lanfen Lin; Ming Cai; Qiaowei Zhang; Yutaro Iwamoto; Xianhua Han; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001; Ruofeng Tong 001; Hongjie Hu (IEEE J. Biomed. Health Informatics, 2022)

DeepRecS: From RECIST Diameters to Precise Liver Tumor Segmentation. - Yue Zhang 042; Chengtao Peng; Liying Peng; Yingying Xu; Lanfen Lin; Ruofeng Tong 001; Zhiyi Peng; Xiongwei Mao; Hongjie Hu; Yen-Wei Chen 001; Jingsong Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. - Junkun Yuan; Anpeng Wu; Kun Kuang; Bo Li 064; Runze Wu 001; Fei Wu 001; Lanfen Lin (ACM Trans. Knowl. Discov. Data, 2022)

ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Hong Wang 021; Yuexiang Li; Yawen Huang; Yefeng Zheng 001 (AAAI, 2023)

SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. - Huimin Huang 002; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Hong Wang 021; Yawen Huang; Yefeng Zheng 001 (CVPR, 2023)

Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. - Rahul Kumar Jain 001; 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 001 (EMBC, 2023)

Vision-Guided Attention-Enhanced Network for Predicting Microvascular Invasion in Hepatocellular Carcinoma. - Jing Liu 041; Jing Ma; Yang Ai; Jiayue Zhao; Fang Wang 030; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Jingsong Li 001 (EMBC, 2023)

MVI-Wise GAN: Synthetic MRI to Improve Microvascular Invasion Prediction in Hepatocellular Carcinoma. - Jing Liu 041; Yulin Yang; Yang Ai; Titinunt Kitrungrotsakul; Fang Wang 030; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Jingsong Li 001 (EMBC, 2023)

Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask. - Yingying Xu; Jiayue Zhao; Qingqing Chen 001; Fang Wang 030; Lanfen Lin; Hongjie Hu; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (EMBC, 2023)

Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. - Yulin Yang; Yinhao Li; Qingqing Chen 001; Xian-Hua Han; Jing Liu 041; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (EMBC, 2023)

Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation. - Jihong Hu; Yinhao Li; Lanfen Lin; Yen-Wei Chen 001 (GCCE, 2023)

A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI. - Xianru Zhang; Gan Zhan; Fang Wang 030; Yinhao Li; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (GCCE, 2023)

MCKD: Mutually Collaborative Knowledge Distillation For Federated Domain Adaptation And Generalization. - Ziwei Niu; Hongyi Wang 002; Hao Sun 013; Shuyi Ouyang; Yen-Wei Chen 001; Lanfen Lin (ICASSP, 2023)

MedFCT: A Frequency Domain Joint CNN-Transformer Network for Semi-supervised Medical Image Segmentation. - Shiao Xie; Huimin Huang 002; Ziwei Niu; Lanfen Lin; Yen-Wei Chen 001 (ICME, 2023)

SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation. - Shuyi Ouyang; Hongyi Wang 002; Shiao Xie; Ziwei Niu; Ruofeng Tong 001; Yen-Wei Chen 001; Lanfen Lin (IJCAI, 2023)

MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images. - Titinunt Kitrungrotsakul; Yingying Xu; Qingqing Chen 001; Jing Liu 041; Yinhao Li; Lanfen Lin; Hongjie Hu; Ruofeng Tong 001; Jingsong Li 001; Yen-Wei Chen 001 (MedInfo, 2023)

CMIR: A Unified Cross-Modality Framework for Preoperative Accurate Prediction of Microvascular Invasion in Hepatocellular Carcinoma. - Jing Liu 041; Yang Ai; Chao Huang; Fang Wang 030; Yingying Xu; Titinunt Kitrungrotsakul; Jing Ma; Lanfen Lin; Yen-Wei Chen 001; Jingsong Li 001 (MedInfo, 2023)

A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19. - Titinunt Kitrungrotsakul; Qingqing Chen 001; Huitao Wu; Preeyanuch Srichola; Hongjie Hu; Wenchao Zhu; Chao Chen; Fangyi Xu; Yong Zhou; Lanfen Lin; Ruofeng Tong 001; Jingsong Li 001; et al. (Computer-Aided Diagnosis, 2023)

Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. - Hongyi Wang 002; Luyang Luo; Fang Wang 030; Ruofeng Tong 001; Yen-Wei Chen 001; Hongjie Hu; Lanfen Lin; Hao Chen 011 (MICCAI (6), 2023)

Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. - Huimin Huang 002; Yawen Huang; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Yefeng Zheng 001 (ACM Multimedia, 2023)

HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification. - Shuyi Ouyang; Hongyi Wang 002; Ziwei Niu; Zhenjia Bai; Shiao Xie; Yingying Xu; Ruofeng Tong 001; Yen-Wei Chen 001; Lanfen Lin (ACM Multimedia, 2023)

IS2Net: Intra-domain Semantic and Inter-domain Style Enhancement for Semi-supervised Medical Domain Generalization. - Shiao Xie; Ziwei Niu; Huimin Huang 002; Hao Sun 013; Rui Qin; Yen-Wei Chen 001; Lanfen Lin (ACM Multimedia, 2023)

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. - Junkun Yuan; Xinyu Zhang 015; Hao Zhou 039; Jian Wang 066; Zhongwei Qiu; Zhiyin Shao; Shaofeng Zhang; Sifan Long; Kun Kuang; Kun Yao; Junyu Han; Errui Ding; et al. (NeurIPS, 2023)

Modality-invariant and Specific Prompting for Multimodal Human Perception Understanding. - Hao Sun 013; Ziwei Niu; Xinyao Yu 003; Jiaqing Liu; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2023)

Domain-Specific Bias Filtering for Single Labeled Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (Int. J. Comput. Vis., 2023)

Modality-invariant temporal representation learning for multimodal sentiment classification. - Hao Sun 013; Jiaqing Liu; Yen-Wei Chen 001; Lanfen Lin (Inf. Fusion, 2023)

TensorFormer: A Tensor-Based Multimodal Transformer for Multimodal Sentiment Analysis and Depression Detection. - Hao Sun 013; Yen-Wei Chen 001; Lanfen Lin (IEEE Trans. Affect. Comput., 2023)

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. - Junkun Yuan; Xu Ma; Ruoxuan Xiong; Mingming Gong; Xiangyu Liu; Fei Wu 001; Lanfen Lin; Kun Kuang (ACM Trans. Knowl. Discov. Data, 2023)

3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. - He Li; Yutaro Iwamoto; Xianhua Han; Lanfen Lin; Akira Furukawa; Shuzo Kanasaki; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2023)

Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation. - Hongyi Wang 002; Yingying Xu; Qingqing Chen 001; Ruofeng Tong 001; Yen-Wei Chen 001; Hongjie Hu; Lanfen Lin (IEEE J. Biomed. Health Informatics, 2023)

Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting. - Yue Zhang 042; Chengtao Peng; Ruofeng Tong 001; Lanfen Lin; Yen-Wei Chen 001; Qingqing Chen 001; Hongjie Hu; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2023)

Tailored multi-organ segmentation with model adaptation and ensemble. - Jiahua Dong; Guohua Cheng; Yue Zhang 042; Chengtao Peng; Yu Song 008; Ruofeng Tong 001; Lanfen Lin; Yen-Wei Chen 001 (Comput. Biol. Medicine, 2023)

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Fei Wu 001; Lanfen Lin; Kun Kuang (IEEE Trans. Knowl. Data Eng., 2023)

Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. - Huimin Huang 002; Yawen Huang; Shiao Xie; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Yuexiang Li; Yefeng Zheng 001 (AAAI, 2024)

Deterministic Guided Progressive Medical Image Cross-Modal Generation Based on Deep Learning. - Chujie Zhang; Lanfen Lin; Yen-Wei Chen 001 (ACCV Workshops (2), 2024)

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. - Huimin Huang 002; Yawen Huang; Lanfen Lin; Ruofeng Tong 001; Yen-Wei Chen 001; Hao Zheng 008; Yuexiang Li; Yefeng Zheng 001 (CVPR, 2024)

Biologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer. - Yang Ai; Xiuju Du; Jing Liu; Yinhao Li; Lanfen Lin; Jingsong Li; Yen-Wei Chen 001 (EMBC, 2024)

UPMatch: Enhancing Semi-Supervised Medical Image Classification through Contrastive Learning with Unreliable Pseudo Labels. - Jihong Hu; Yinhao Li; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2024)

A Sentiment Pre-trained Text-Guided Multimodal Cross-Attention Transformer for Improved Depression Detection. - Shiyu Teng; Shurong Chai; Jiaqing Liu; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2024)

GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. - Yulin Yang; Jing Liu 041; Qingqing Chen 001; Yinhao Li; Xian-Hua Han; Hongjie Hu; Lanfen Lin; Yen-Wei Chen 001 (EMBC, 2024)

STFormer: Learning to Explore Spot Relationships for Spatial Transcriptomics Prediction from Histology of Colorectal Cancer. - Gan Zhan; Xiuju Du; Jing Liu; Yinhao Li; Lanfen Lin; Jingsong Li; Yen-Wei Chen 001 (EMBC, 2024)

k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging. - Shaocong Mo; Ming Cai; Lanfen Lin; Ruofeng Tong 001; Fang Wang 030; Qingqing Chen 001; Hongjie Hu; Yinhao Li; Yen-Wei Chen 001 (GCCE, 2024)

IRLSG: Invariant Representation Learning for Single-Domain Generalization in Medical Image Segmentation. - Ziwei Niu; Hao Sun 013; Shuyi Ouyang; Shiao Xie; Yen-Wei Chen 001; Ruofeng Tong 001; Lanfen Lin (ICASSP, 2024)

Multi-Modal and Multi-Task Depression Detection with Sentiment Assistance. - Shiyu Teng; Shurong Chai; Jiaqing Liu; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (ICCE, 2024)

FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation. - Yingying Xu; Yinjie Wang; Qingqing Chen 001; Hongjie Hu; Huimin Huang 002; Lanfen Lin; Yen-Wei Chen 001; Jingsong Li 001; Hongxiang Lin (ISBI, 2024)

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. - Shurong Chai; Rahul Kumar Jain 001; Shaocong Mo; Jiaqing Liu; Yulin Yang; Yinhao Li; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (MICCAI (9), 2024)

LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image Segmentation. - Jihong Hu; Yinhao Li; Hao Sun 013; Yu Song 008; Chujie Zhang; Lanfen Lin; Yen-Wei Chen 001 (MICCAI (12), 2024)

Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data. - Xianru Zhang; Fang Wang 030; Yinhao Li; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (MLMI, 2024)

M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images. - Hongyi Wang 002; Xiuju Du; Jing Liu 041; Shuyi Ouyang; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2024)

Memory-Inspired Temporal Prompt Interaction for Text-Image Classification. - Xinyao Yu 003; Hao Sun 013; Ziwei Niu; Rui Qin; Zhenjia Bai; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2024)

Multimodal Infusion Tuning for Large Models. - Hao Sun 013; Yu Song 008; Jihong Hu; Xinyao Yu 003; Jiaqing Liu; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2024)

Multitask and Multimodal Neural Tuning for Large Models. - Hao Sun 013; Yu Song 008; Jihong Hu; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2024)

LSMS: Language-guided Scale-aware MedSegmentor for Medical Image Referring Segmentation. - Shuyi Ouyang; Jinyang Zhang; Xiangye Lin; Xilai Wang; Qingqing Chen 001; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2024)

Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels. - Jiahua Dong; Yue Zhang 042; Qiuli Wang 001; Ruofeng Tong 001; Shihong Ying; Shaolin Gong; Xuanpu Zhang; Lanfen Lin; Yen-Wei Chen 001; S. Kevin Zhou (CoRR, 2024)

SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation. - Shiao Xie; Hongyi Wang 002; Ziwei Niu; Hao Sun 013; Shuyi Ouyang; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2024)

An Intra- and Inter-Emotion Transformer-Based Fusion Model with Homogeneous and Diverse Constraints Using Multi-Emotional Audiovisual Features for Depression Detection. - Shiyu Teng; Jiaqing Liu; Yue Huang; Shurong Chai; Tomoko Tateyama; Xinyin Huang; Lanfen Lin; Yen-Wei Chen 001 (IEICE Trans. Inf. Syst., 2024)

Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization. - Ziwei Niu; Junkun Yuan; Xu Ma; Yingying Xu; Jing Liu 041; Yen-Wei Chen 001; Ruofeng Tong 001; Lanfen Lin (IEEE Trans. Multim., 2024)

Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. - Yulin Yang; Qingqing Chen 001; Yinhao Li; Fang Wang 030; Xian-Hua Han; Yutaro Iwamoto; Jing Liu 041; Lanfen Lin; Hongjie Hu; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2024)

Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. - Hongyi Wang 002; Luyang Luo; Fang Wang 030; Ruofeng Tong 001; Yen-Wei Chen 001; Hongjie Hu; Lanfen Lin; Hao Chen 011 (IEEE Trans. Medical Imaging, 2024)

M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images. - Hongyi Wang 002; Xiuju Du; Jing Liu 041; Shuyi Ouyang; Yen-Wei Chen 001; Lanfen Lin (AAAI, 2025)

Enhanced Multimodal Depression Detection With Emotion Prompts. - Shiyu Teng; Jiaqing Liu; Hao Sun 013; Shurong Chai; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (ICASSP, 2025)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models. - Shiyu Teng; Jiaqing Liu; Rahul Kumar Jain 001; Shurong Chai; Ruibo Hou; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (CoRR, 2025)

Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Shurong Chai; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Yen-Wei Chen 001 (ACM Trans. Comput. Heal., 2025)

SAMA: A Self-and-Mutual Attention Network for Accurate Recurrence Prediction of Non-Small Cell Lung Cancer Using Genetic and CT Data. - Yang Ai; Jing Liu 041; Yinhao Li; Fang Wang 030; Xiuju Du; Rahul Kumar Jain 001; Lanfen Lin; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2025)

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Ruibo Hou; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2025)

EPIC: Efficient Prompt Interaction for Text-Image Classification. - Xinyao Yu 003; Hao Sun 013; Zeyu Ling; Ziwei Niu; Zhenjia Bai; Rui Qin; Yen-Wei Chen 001; Lanfen Lin (CoRR, 2025)