Qingqing Chen
Orcid: 0000-0003-2268-1938Affiliations:
- Zhejiang University School of Medicine, Department of Radiology, Sir Run Run Shaw Hospital, Hangzhou, China (PhD 2021)
According to our database1,
Qingqing Chen
authored at least 30 papers
between 2018 and 2023.
Collaborative distances:
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Bibliography
2023
Multi-Modal Tumor Segmentation With Deformable Aggregation and Uncertain Region Inpainting.
IEEE Trans. Medical Imaging, October, 2023
Adaptive Decomposition and Shared Weight Volumetric Transformer Blocks for Efficient Patch-Free 3D Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, October, 2023
A hybrid model of deep learning features and clinical features for severe cases predication of COVID-19.
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.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images.
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.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE J. Biomed. Health Informatics, 2022
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.
CoRR, 2022
Adaptively Re-weighting Multi-Loss Untrained Transformer for Sparse-View Cone-Beam CT Reconstruction.
CoRR, 2022
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.
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.
Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022
2021
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.
IEEE J. Biomed. Health Informatics, 2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.
CoRR, 2021
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting.
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.
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.
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.
Commun. Inf. Syst., 2020
Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.
IEEE Access, 2020
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.
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.
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.
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.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-phase CT Images.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018