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ORCIDComputers in Biology and Medicine, Volume 156
Volume 156, April 2023
- Yao Pu
, Qinghua Zhang, Cheng Qian, Quan Zeng, Na Li, Lijuan Zhang, Shoujun Zhou, Gang Zhao:
Semi-supervised segmentation of coronary DSA using mixed networks and multi-strategies. 106493
- Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram:
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks. 106668
- Hong Yang, Heng Liu, Guohui Li:
A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases. 106674 - Muhua Xu, Juan Cheng, Chang Li, Yu Liu, Xun Chen:
Spatio-temporal deep forest for emotion recognition based on facial electromyography signals. 106689 - Argyrios Petras, Matthias A. F. Gsell, Christoph M. Augustin, Jairo Rodríguez-Padilla, Alexander Jung, Marina Strocchi, Frits W. Prinzen, Steven A. Niederer, Gernot Plank, Edward J. Vigmond:
Mechanoelectric effects in healthy cardiac function and under Left Bundle Branch Block pathology. 106696 - Min Luo, Zhen He, Hui Cui, Yi-Ping Phoebe Chen, Phillip Ward:
Class activation attention transfer neural networks for MCI conversion prediction. 106700 - Dandan Zhang, Hongyu Wang, Jiahui Deng, Tonghui Wang, Cong Shen, Jun Feng:
CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays. 106702 - Hao Wu, Biting Liang, Zhongli Chen, Hongming Zhang:
MultiSimNeNc: A network representation learning-based module identification method by network embedding and clustering. 106703 - Honghe Li, Yonghuai Wang, Mingjun Qu, Peng Cao, Chaolu Feng, Jinzhu Yang:
EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography. 106705 - Yineng Zheng, Xingming Guo, Yang Yang, Hui Wang, Kangla Liao, Jian Qin:
Phonocardiogram transfer learning-based CatBoost model for diastolic dysfunction identification using multiple domain-specific deep feature fusion. 106707 - Yuning Cui, Yifu Li, Chongle Pan, Stephanie R. Brown, Rachel E. Gallant, Rui Zhu:
Bayesian inference for survival prediction of childhood Leukemia. 106713 - Kangshun Li, Can Chen, Wuteng Cao, Hui Wang, Shuai Han, Renjie Wang, Zaisheng Ye, Zhijie Wu, Wenxiang Wang, Leng Cai, Deyu Ding, Zixu Yuan:
DeAF: A multimodal deep learning framework for disease prediction. 106715 - Weiyi Yu, Zhizhong Huang, Junping Zhang, Hongming Shan:
SAN-Net: Learning generalization to unseen sites for stroke lesion segmentation with self-adaptive normalization. 106717 - Qinghua Huang, Liangrun Zhao, Guanqing Ren, Xiaoyi Wang, Chunying Liu, Wei Wang:
NAG-Net: Nested attention-guided learning for segmentation of carotid lumen-intima interface and media-adventitia interface. 106718 - Janneck Stahl, Laurel Morgan Miller Marsh, Maximilian Thormann, Andreas Ding, Sylvia Saalfeld, Daniel Behme, Philipp Berg:
Assessment of the flow-diverter efficacy for intracranial aneurysm treatment considering pre- and post-interventional hemodynamics. 106720 - Ssu-Ting Lien, Tony Eight Lin, Jui-Hua Hsieh, Tzu-Ying Sung, Jun-Hong Chen, Kai-Cheng Hsu:
Establishment of extensive artificial intelligence models for kinase inhibitor prediction: Identification of novel PDGFRB inhibitors. 106722 - Won Joon Yun, Myungjae Shin, Soyi Jung, JeongGil Ko, Hyung-Chul Lee, Joongheon Kim:
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. 106739
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