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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI. - Gan Zhan; Fang Wang 030; Weibin Wang; Yinhao Li; Qingqing Chen 001; Hongjie Hu; Yen-Wei Chen 001 (ACCV (Workshops), 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)

Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction. - Minghui Wu 009; Yangdi Xu; Yingying Xu; Guangwei Wu; Qingqing Chen 001; Hongxiang 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)

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)

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)

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)

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)

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)

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)

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)

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)

Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction. - Minghui Wu 009; Yangdi Xu; Yingying Xu; Guangwei Wu; Qingqing Chen 001; Hongxiang Lin (ICASSP, 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)

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)

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)