Qingqing Chen

According to our database, Qingqing Chen authored at least 33 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.

Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen

IEEE J. Biomed. Health Informatics, August, 2024

FPGA Oriented Lightweight Deep Learning Inference for Liver Cancer Segmentation.

Yingying Xu, Yinjie Wang, Qingqing Chen, Hongjie Hu, Huimin Huang, Lanfen Lin, Yen-Wei Chen, Jingsong Li, Hongxiang Lin

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction.

Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting.

Yue Zhang, Chengtao Peng, Ruofeng Tong, Lanfen Lin, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, S. Kevin Zhou

IEEE Trans. Medical Imaging, October, 2023

Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation.

Hongyi Wang, Yingying Xu, Qingqing Chen, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin

IEEE J. Biomed. Health Informatics, October, 2023

A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19.

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

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 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, Jing Liu, Yinhao Li, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images.

Yulin Yang, Yinhao Li, Qingqing Chen, Xian-Hua Han, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Contrastive Learning for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Liver CT Image and Tumor Mask.

Yingying Xu, Jiayue Zhao, Qingqing Chen, Fang Wang, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

MTL-ABS³Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.

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

IEEE J. Biomed. Health Informatics, 2022

Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.

Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen

IEEE Trans. Circuits Syst. Video Technol., 2022

Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.

Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

CoRR, 2022

Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction.

Minghui Wu, Yangdi Xu, Yingying Xu, Guangwei Wu, Qingqing Chen, Hongxiang Lin

CoRR, 2022

Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.

Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong, Lanfen Lin

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI.

Gan Zhan, Fang Wang, Weibin Wang, Yinhao Li, Qingqing Chen, Hongjie Hu, Yen-Wei Chen

Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022

2021

Medical Image Segmentation With Deep Atlas Prior.

Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong

IEEE Trans. Medical Imaging, 2021

Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.

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

IEEE J. Biomed. Health Informatics, 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, Hongjie Hu, Zhiyi Peng, Qiaowei Zhang, Qingqing Chen, Xiongwei Mao, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

CoRR, 2021

Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting.

Yue Zhang, Chengtao Peng, Liying Peng, Huimin Huang, Ruofeng Tong, Lanfen Lin, Jingsong Li, Yen-Wei Chen, Qingqing Chen, Hongjie Hu, Zhiyi Peng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.

Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions.

Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen

Pattern Recognit. Lett., 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, Xianhua Han, Yutaro Iwamoto, Yen-Wei Chen

Commun. Inf. Syst., 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, Yutaro Iwamoto, Panyanat Aonpong, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yen-Wei Chen

IEEE Access, 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, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.

Liying Peng, Yen-Wei Chen, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto

IEEE J. Biomed. Health Informatics, 2019

Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.

Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.

Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen

Proceedings of the 2019 IEEE International Conference on Image Processing, 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, Yutaro Iwamoto, Xianhua Han, Qiaowei Zhang, Hongjie Hu, Lanfen Lin, Yen-Wei Chen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

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, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images.

Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yen-Wei Chen

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 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, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 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, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning.

Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang

Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018