Qingqing Chen

发表

The value of CT-based radiomics nomogram in differential diagnosis of different histological types of gastric cancer

Hongjie Hu, Fangyi Xu, Hao Huang, 2021, Physical and engineering sciences in medicine.

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

Titinunt Kitrungrotsakul, Y. Iwamoto, Lanfen Lin, 2021, IEEE Journal of Biomedical and Health Informatics.

An original deep learning model using limited data for COVID‐19 discrimination: A multicenter study

Dawei Wang, Hongjie Hu, Wenchao Zhu, 2022, Medical physics.

CT-Based Radiomics for the Recurrence Prediction of Hepatocellular Carcinoma After Surgical Resection

Yunjun Yang, Qingqing Chen, Yajing Zhu, 2022, Journal of hepatocellular carcinoma.

Develop a diagnostic tool for dementia using machine learning and non-imaging features

Xiaoqing Jin, Li Sheng, Genxiang Mao, 2022, Frontiers in Aging Neuroscience.

CT-BasedRadiomics for theRecurrence Prediction of Hepatocellular Carcinoma After Surgical Resection

Yunjun Yang, Qingqing Chen, Yajing Zhu, 2022 .

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

Y. Iwamoto, Lanfen Lin, Xianhua Han, 2022, IEEE Journal of Biomedical and Health Informatics.

Gastric bronchogenic cyst in a young woman: A case report.

Qingqing Chen, Hongjie Hu, F. Lou, 2022, Asian journal of surgery.

Medical Image Classification Using Deep Learning

Lanfen Lin, Yen-Wei Chen, Qingqing Chen, 2019 .

Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma

Yutaro Iwamoto, Yen-Wei Chen, Lanfen Lin, 2020, IEEE Access.

Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images

Dong Liang, Yen-Wei Chen, Yutaro Iwamoto, 2018, MICCAI.

Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical Data

Y. Iwamoto, Ruofeng Tong, Hongjie Hu, 2022, Frontiers in Radiology.

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

Yen-Wei Chen, Lanfen Lin, Yue Zhang, 2021, MICCAI.

Medical Image Segmentation With Deep Atlas Prior

Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, 2021, IEEE Transactions on Medical Imaging.

Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data

Yutaro IWAMOTO, Lanfen LIN, Hongjie HU, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images

Yen-Wei Chen, Yutaro Iwamoto, Lanfen Lin, 2021, Medical physics.

Computerized Features for LI-RADS Based Computer-Aided Diagnosis of Liver Lesions

Lanfen Lin, Hongjie Hu, Yingying Xu, 2017 .

Deep Learning Radiomics Model of Dynamic Contrast‐Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma

Huangqi Zhang, W.-B. Ji, Jiawen Yang, 2023, Journal of magnetic resonance imaging : JMRI.

Self-assembly of hyaluronic acid-mediated tumor-targeting theranostic nanoparticles.

Hongjie Hu, Jianbin Tang, Min Liu, 2021, Biomaterials science.

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

Yen-Wei Chen, Yutaro Iwamoto, Lanfen Lin, 2018, DMIP.

A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma.

Lanfen Lin, Hongjie Hu, Yunjun Yang, 2022, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

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

Yen-Wei Chen, Yutaro Iwamoto, Lanfen Lin, 2020, Pattern Recognit. Lett..

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

Yutaro Iwamoto, Lanfen Lin, Jian Wu, 2019, MICCAI.

Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks

Fang Wang, Yutaro Iwamoto, Lanfen Lin, 2020, MICCAI.

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

Yingying Xu, Hongxiang Lin, Qingqing Chen, 2022, ArXiv.

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

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Weibin Wang, Qingqing Chen, Hongjie Hu, 2022, ACCV.

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

Dan Wang, Yutaro Iwamoto, Lanfen Lin, 2019, IEEE Journal of Biomedical and Health Informatics.

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

Jian Wang, Yen-Wei Chen, Xian-Hua Han, 2018, PCM.

Multi-scale Deep Convolutional Neural Networks for Emphysema Classification and Quantification

Lanfen Lin, Yen-Wei Chen, Qingqing Chen, 2019 .

Radiomics and Its Application in Predicting Microvascular Invasion of Hepatocellular Carcinoma

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2021, Handbook of Artificial Intelligence in Healthcare.

Super-Resolution Based Patch-Free 3D Image Segmentation with High-Frequency Guidance

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2022, 2210.14645.

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

Y. Iwamoto, Lanfen Lin, Hongjie Hu, 2022, arXiv.org.

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

Xian-Hua Han, Yen-Wei Chen, Yutaro Iwamoto, 2021, MICCAI.

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

Lanfen Lin, Hongjie Hu, Yingying Xu, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

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

Y. Iwamoto, Lanfen Lin, Ruofeng Tong, 2022, IEEE Transactions on Circuits and Systems for Video Technology.

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

Lanfen Lin, Ruofeng Tong, Hongjie Hu, 2023, IEEE Transactions on Medical Imaging.

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

Yen-Wei Chen, Yutaro Iwamoto, Dong Liang, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

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

Lanfen Lin, Hongjie Hu, Qingqing Chen, 2024, IEEE Journal of Biomedical and Health Informatics.

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

Lanfen Lin, Hongjie Hu, Xianhua Han, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions

Dong Liang, Yen-Wei Chen, Yutaro Iwamoto, 2018, PRICAI.

LSMS: Language-guided Scale-aware MedSegmentor for Medical Image Referring Segmentation

Lanfen Lin, Qingqing Chen, Yen-wei Chen, 2024, 2408.17347.