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Yahong Luo
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2020 – today
- 2023
- [j7]Tao Jiang, Xinyan Sun, Yue Dong, Wei Guo, Hongbo Wang, Zhibin Yue, Yahong Luo, Xiran Jiang:
Deep learning for preoperative prediction of the EGFR mutation and subtypes based on the MRI image of spinal metastasis from primary NSCLC. Biomed. Signal Process. Control. 79(Part): 104084 (2023) - 2022
- [j6]Jiaxin Shi, Linpeng Cui, Hongbo Wang, Yue Dong, Tao Yu, Huazhe Yang
, Xingling Wang, Guanyu Liu, Wenyan Jiang, Yahong Luo, Zhiguang Yang, Xiran Jiang:
MRI-based intratumoral and peritumoral radiomics on prediction of lymph-vascular space invasion in cervical cancer: A multi-center study. Biomed. Signal Process. Control. 72(Part): 103373 (2022) - [j5]Jiaxin Shi, Zilong Zhao, Tao Jiang, Hua Ai, Jiani Liu, Xinpu Chen, Yahong Luo, Huijie Fan, Xiran Jiang:
A deep learning approach with subregion partition in MRI image analysis for metastatic brain tumor. Frontiers Neuroinformatics 16 (2022) - 2021
- [j4]Shengjie Shang, Jing Sun, Zhibin Yue, Yingni Wang, Xiaoyu Wang
Multi-parametric MRI based radiomics with tumor subregion partitioning for differentiating benign and malignant soft-tissue tumors. Biomed. Signal Process. Control. 67: 102522 (2021) - [j3]Chongwei Wu, Wei Yan, Hongtu Li, Jiaxin Li, Hongkai Wang, Shijie Chang, Tao Yu, Ying Jin, Chao Ma, Yahong Luo, Dongxu Yi, Xiran Jiang:
A classification system of day 3 human embryos using deep learning. Biomed. Signal Process. Control. 70: 102943 (2021) - [j2]Xiran Jiang
MRI Based Radiomics Approach With Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 995-1002 (2021) - 2020
- [c2]Emine Doganay, Yahong Luo, Long Gao, Puchen Li, Wendie A. Berg, Shandong Wu:
Performance comparison of different loss functions for digital breast tomosynthesis classification using 3D deep learning model. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2018
- [j1]Aly A. Mohamed, Yahong Luo, Hong Peng, Rachel C. Jankowitz, Shandong Wu:
Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective. J. Digit. Imaging 31(4): 387-392 (2018) - [c1]Sarah S. Aboutalib, Aly A. Mohamed, Margarita L. Zuley, Wendie A. Berg, Yahong Luo, Shandong Wu:
Do pre-trained deep learning models improve computer-aided classification of digital mammograms? Medical Imaging: Computer-Aided Diagnosis 2018: 1057523
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