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Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints.

R. Li, H. Chen, G. Gong, и L. Wang. EMBC, стр. 1629-1632. IEEE, (2020)

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Guanzhong Gao

Weihua Gong

Jing Gong

Ping Gong

Mengxiong Gong

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Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging.X. Sha, G. Gong, Q. Qiu, J. Duan, D. Li, и Y. Yin. BMC Medical Imaging, 20 (1): 12 (2020)Shape-Aware Organ Segmentation by Predicting Signed Distance Maps.Y. Xue, H. Tang, Z. Qiao, G. Gong, Y. Yin, Z. Qian, C. Huang, W. Fan, и X. Huang. CoRR, (2019)Hypergraph-Based Numerical Neural-Like P Systems for Medical Image Segmentation.J. Xue, L. Ren, B. Song, Y. Guo, J. Lu, X. Liu, G. Gong, и D. Li. IEEE Trans. Parallel Distributed Syst., 34 (4): 1202-1214 (апреля 2023)Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints.R. Li, H. Chen, G. Gong, и L. Wang. EMBC, стр. 1629-1632. IEEE, (2020)Spiking neural P system with synaptic vesicles and applications in multiple brain metastasis segmentation.J. Xue, D. Kong, L. Ren, B. Song, X. Liu, G. Gong, D. Li, и H. Zhang. Inf. Sci., (мая 2023)COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19.G. Bao, H. Chen, T. Liu, G. Gong, Y. Yin, L. Wang, и X. Wang. CoRR, (2020)The therapeutic utility of combining dynamic contrast-enhanced magnetic resonance imaging with arterial spin labeling in the staging of nasopharyngeal carcinoma.H. Li, G. Gong, L. Wang, Y. Su, J. Lu, и Y. Yin. BMC Medical Imaging, 23 (1): 61 (декабря 2023)MMFNet: A Multi-modality MRI Fusion Network for Segmentation of Nasopharyngeal Carcinoma.H. Chen, Y. Qi, Y. Yin, T. Li, G. Gong, и L. Wang. CoRR, (2018)Hybrid neural-like P systems with evolutionary channels for multiple brain metastases segmentation.J. Xue, Q. Li, X. Liu, Y. Guo, J. Lu, B. Song, P. Huang, Q. An, G. Gong, и D. Li. Pattern Recognit., (октября 2023)COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment.G. Bao, H. Chen, T. Liu, G. Gong, Y. Yin, L. Wang, и X. Wang. Pattern Recognit., (2022)

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