
一、个人基本情况
秦耿耿,主任医师,博士,硕士研究生导师,现任南方医科大学南方医院放射科主任医师,南方医科大学南方医院赣州医院科教科执行科长、影像中心执行主任。具有临床医学及生物医学工程学双重学历,及美国德州大学西南医学中心人工智能实验室留学背景,是广东省临床重点专科、广东省乳腺智能诊断生物创新平台、广州市X线成像技术重点实验室主要技术骨干。担任广东省医学会放射医学分会青委会副主任委员、广东省医学会放射医学分会分子影像与大数据学组副组长等。主持多项国家及省部级课题;担任Technology in Cancer Research & Treatment杂志副编辑(人工智能方向)、南方医科大学学报编委及多个国际期刊审稿人。近5年发表SCI论文37篇,获得广东省“抗疫好医生”、广州市“羊城好医生”,洪湖市“荣誉市民”等荣誉称号。
二、主要研究方向
1.人工智能及大数据在医学影像领域的应用
2.医学影像学新技术
3.肿瘤影像早期诊断
三、代表性著作
1.Yangling Hu#, Weimin Xu#, Hui Zeng, Zilong He, Xiao Lu, Daming Zuo,Genggeng Qin*, Weiguo Chen*. OXPHOS-dependent metabolic reprogramming prompts metastatic potential of breast cancer cells under osteogenic differentiation. British journal of cancer, 2020 Nov;123(11):1644-1655(中科院分区:1区,JCR分区:Q1,IF:8.8)
2.Yunbi Liu#, Fengxia Zeng, Mengwei Ma, Bowen Zheng, Zhaoqiang Yun,Genggeng Qin*, Wei Yang*, Qianjing Feng, Bone suppression of lateral chest X-rays with imperfect and limited dual-energy subtraction images. Computerized Medical Imaging and Graphics. 2023;105(2023)102186.(中科院分区:2区,JCR分区:Q1,IF:5.7)
3.Mengwei Ma#, Renyi Liu#, Chanjuan Wen, Weimin Xu, Zeyuan Xu, Sina Wang, Jiefang Wu, Derun Pan, Bowen Zheng,Genggeng Qin*,Weiguo Chen*.Predicting the molecular subtype of breast cancer and identifying interpretable imaging features using machine learning algorithms. European Radiology, 2022;32(3):1652-1662. doi:10.1007/s00330-021-08271-4.(中科院分区:2区,JCR分区:Q1,IF:5.9)
4.Liu, R.#, Pan, D.#, Xu, Y., Zeng, H., He, Z., Lin, J., Zeng, W., Wu, Z., Luo, Z.,Qin, G.*,& Chen, W.*A deep learning-machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors. European radiology, 2022 Feb;32(2):1371-1383.(中科院分区:2区,JCR分区:Q1,IF:5.9)
5.Le Ma#, Xiaojia Lin, Bingjia Lai, Wenshang Wang, Yuxing Cai, Weiguo Chen,Genggeng Qin*. Additive value of exposure parameters for breast cancer diagnosis in digital mammography [J]. European radiology, 2020.(中科院分区:2区,JCR分区:Q1,IF:5.9)
6.Li X#,Qin G#, He Q, Sun L, Zeng H, He Z, Chen W, Zhen X*,Zhou L*,Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification, European Radiology,2020;30(2):778–788.(中科院分区:2区,JCR分区:Q1,IF:5.9)
7.Le Ma#, Hui Liu#, Xiaojia Lin, Yuxing Cai, Ling Zhang, Weiguo Chen*,Genggeng Qin*.Lesion-specific exposure parameters for breast cancer diagnosis on digital breast tomosynthesis and full-field digital mammography[J]. Biomedical Signal Processing and Control, 2022, 77: 103752.(中科院分区:2区,JCR分区:Q2,IF:5.1)
8.Li Y#, Wang K#, Chen Y, Cai J, Qin X, Lu A, Guan D*,Qin G*and Chen W*(2021) A System Pharmacology Model for Decoding the Synergistic Mechanisms of Compound Kushen Injection in Treating Breast Cancer. Front. Pharmacol. 12:723147. doi: 10.3389/fphar.2021.723147(中科院分区:2区,JCR分区:Q1,IF:5.6)
9.Zeng F#, Dai H#, Li X, Guo L, Jia N, Yang J, Huang D, Zeng H, Chen W, Zhang L*,Qin G*. Preoperative radiomics model using gadobenate dimeglumine-enhanced magnetic resonance imaging for predicting β-catenin mutation in patients with hepatocellular carcinoma: A retrospective study. Front Oncol. 2022 Sep 16;12:916126. (中科院分区:3区,JCR分区:Q2,IF:4.7)
10.Zilong He#, Yue Li#, Weixiong Zeng#, Weimin Xu, Jialing Liu, Xiangyuan Ma, Jun Wei, Hui Zeng, Zeyuan Xu, Sina Wang, Chanjuan Wen, Jiefang Wu, Chenya Feng, Mengwei Ma,Genggeng Qin*, Yao Lu*and Weiguo Chen*. Can a computer-aided mass diagnosis model based on perceptive features learned from quantitative mammography radiology report improve junior radiologists’ diagnosis performance? An observer study. Front Oncol. 2021 Dec 17;11:773389. (中科院分区:3区,JCR分区:Q2,IF:4.7)
四、联系方式
电子邮箱: zealotq@smu.edu.cn