所属学科专业：控制科学与工程、信息与通信工程、计算机科学与技术
导师简介：
魏炜，1984年生，男，工学博士，硕导。本科毕业于西北大学计算机科学与技术专业，博士毕业于西安电子科技大学信息与通信工程专业。多年来一直从事医学图像大数据分析领域的科研工作，致力于人工智能技术在医疗领域的临床转化。近三年，主持省部级项目1项，厅局级项目1项，发表中科院二区SCI论文9篇，其中第一作者/通讯作者5篇。担任中科院二区SCI期刊Frontiers in Oncology审稿人。
主要研究方向：人工智能，医疗大数据分析
近年来主要科研项目：
1.影像组学在高级别浆液性卵巢癌术后复发风险分析中的应用（省部级，2020.01-2021.12）
2.脑胶质瘤影像组学及临床应用的研究（厅局级，2017.01-2018.09）
近年来主要科研成果：
发表论文：
(1) Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma , Radiotherapy and Oncology, 2019, 141: 239-246. (中科院二区，IF=4.856)
(2) A computed tomography-based radiomic prognostic marker of advanced high-grade serous ovarian cancer recurrence: A multicenter study, Frontiers in Oncology, 2019, 9: 255. (中科院二区，IF=4.848)
(3) Radiomics signature: A potential biomarker for the prediction of MGMT promoter methylation in glioblastoma. Journal of Magnetic Resonance Imaging,2018, 47(5): 1380-1387. (ESI高被引，中科院2区，IF=3.954)
(4)Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer. Radiotherapy and Oncology, 2019, 132: 171-177.(中科院二区，IF=4.856)
(5) Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study, Frontiers in Oncology, 2020, 10: 235. (中科院二区，IF=4.848)
(6) Esculetin improves cognitive impairments induced by transient cerebral ischaemia and reperfusion in mice via regulation of mitochondrial fragmentation and mitophagy. Behavioural Brain Research, 2019, 327(2019): 112007. (中科院二区, IF=2.770)
(7) A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients with Glioma.Frontiers in Oncology, 2019, 9:1183.
(8) Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications, European Journal of Radiology, 2019, 121: 108711.
(9) Radiomic Analysis of Multiparametric Magnetic Resonance Imaging for Differentiating Skull-base Chordoma and Chondrosarcoma[J]. European Journal of Radiology, 2019, 118: 81-87.
(10) Radiomics: A Novel CT-Based Method of Predicting Postoperative Recurrence in Ovarian Cancer. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, 4130-4133. (EI: 20**7)
(11) A Novel MRI-Based Radiomics Model for Predicting Recurrence in Chordoma. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, 139-142. (EI: 20**0)
(12) Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, 2583-2586. (EI: 20**4)
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