Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction
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Henry Been-Lirn Duh | Ping Xuan | Linlin Wang | Qiangguo Jin | Yiyue Xu | Hui Cui | Mingjun Ding | Butuo Li | Bing Zou | Bingjie Fan | Wanlong Li | Jinming Yu | H. Duh | Jinming Yu | P. Xuan | Butuo Li | Linlin Wang | Yiyue Xu | H. Cui | B. Zou | B. Fan | Qiangguo Jin | Wanlong Li | Mingjun Ding
[1] Linwei Ye,et al. Dual Convolutional LSTM Network for Referring Image Segmentation , 2020, IEEE Transactions on Multimedia.
[2] Ping Xuan,et al. Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association prediction , 2020, Briefings Bioinform..
[3] Jacob Andreas,et al. Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment , 2020, MICCAI.
[4] Xin Chen,et al. Multiple Level CT Radiomics Features Preoperatively Predict Lymph Node Metastasis in Esophageal Cancer: A Multicentre Retrospective Study , 2020, Frontiers in Oncology.
[5] Tinghuai Wang,et al. Hyperspectral Image Classification via Pyramid Graph Reasoning , 2020, ISVC.
[6] Tatsuhiko Tsunoda,et al. DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture , 2019, Scientific Reports.
[7] J. Choi,et al. Improved detection of metastatic lymph nodes in oesophageal squamous cell carcinoma by combined interpretation of fluorine-18-fluorodeoxyglucose positron-emission tomography/computed tomography , 2019, Cancer Imaging.
[8] Jens Petersen,et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation , 2020, Nature Methods.
[9] Fang Wang,et al. Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks , 2020, MICCAI.
[10] Toshiya Nakaguchi,et al. Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction , 2021, Briefings Bioinform..
[11] Jung Im Kim,et al. Combined CT texture analysis and nodal axial ratio for detection of nodal metastasis in esophageal cancer. , 2020, The British journal of radiology.
[12] Ben Glocker,et al. Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images , 2018, Medical Image Anal..
[13] J. Dutton,et al. Cryopreservation of Human iPS Cell Aggregates in a DMSO-Free Solution—An Optimization and Comparative Study , 2020, Frontiers in Bioengineering and Biotechnology.
[14] Yunwen Zhu,et al. Cross-modal image sentiment analysis via deep correlation of textual semantic , 2021, Knowl. Based Syst..
[15] Jianfang Liu,et al. Improving CT detection sensitivity for nodal metastases in oesophageal cancer with combination of smaller size and lymph node axial ratio , 2017, European Radiology.
[16] Philip S. Yu,et al. A Comprehensive Survey on Graph Neural Networks , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[17] I. El Naqa,et al. A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities , 2015, Physics in medicine and biology.