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Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

机译：弥漫性胶质瘤存在下MRI扫描的脑提取：深度学习方法的多机构绩效评估和强大的方式 - 无话束训练

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Siddhesh Thakur; Jimit Doshi; Sarthak Pati; Saima Rathore; Chiharu Sako; Michel Bilello; Sung Min Ha; Gaurav Shukla; Adam Flanders; Aikaterini Kotrotsou; Mikhail Milchenko; Spencer Liem; Gregory S. Alexander; Joseph Lombardo; Joshua D. Palmer; Pamela LaMontagne; Arash Nazeri; Sanjay Talbar; Uday Kulkarni; Daniel Marcus; Rivka Colen; Christos Davatzikos; Guray Erus; Spyridon Bakas;
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1. A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas [J] . Yogananda Chandan Ganesh Bangalore, Shah Bhavya R., Vejdani-Jahromi Maryam, Neuro-Oncology . 2020,第3期

机译：一种全自动自动化的MRI基础深度学习方法，用于脑胶质瘤脑胶质瘤中的IDH突变状态分类
2. Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas [J] . Korfiatis P., Erickson B. Clinical Radiology: Journal of the Royal College of Radiologists . 2019,第5期

机译：深度学习可以看到可疑的：预测来自脑胶质瘤的MRI的分子标记
3. Evaluation of 18F-FDG PET and MRI associations in pediatric diffuse intrinsic brain stem glioma: a report from the Pediatric Brain Tumor Consortium. [J] . Zukotynski KA, Fahey FH, Kocak M, The Journal of Nuclear Medicine . 2011,第2期

机译：儿科弥漫性内源性脑干神经胶质瘤中18F-FDG PET和MRI关联的评估：儿科脑肿瘤联合会的报告。
4. Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI [C] . Chandan Ganesh Bangalore Yogananda, Ben Wagner, Sahil S. Nalawade, International Workshop on Brain-Lesion;Medical Image Computing for Computer Assisted Intervention . 2019

机译：使用深度学习和MRI的全自动脑肿瘤分割和胶质瘤生存预测
5. Deep Learning Approaches for Deblurring Motion-Affected Brain MRI Scans [D] . Wang, Tong. 2020

机译：用于去抑制运动受影响的脑MRI扫描的深度学习方法
6. NIMG-40. ROBUST MODALITY-AGNOSTIC SKULL-STRIPPING IN PRESENCE OF DIFFUSE GLIOMA: A MULTI-INSTITUTIONAL STUDY [O] . Siddhesh Thakur, Jimit Doshi, Sung Min Ha, 2019

机译：Nimg-40。在弥漫性胶质瘤存在下存在鲁棒的模态 - 无症状串联：多制度研究
7. MRI-BASED DEEP LEARNING METHOD FOR DETERMINING METHYLATION STATUS OF THE O6-METHYLGUANINE–DNA METHYLTRANSFERASE PROMOTER OUTPERFORMS TISSUE BASED METHODS IN BRAIN GLIOMAS [O] . Chandan Ganesh Bangalore Yogananda, Bhavya R. Shah, Sahil S. Nalawade, 2020

机译：基于MRI的深度学习方法，用于测定O6-甲基胍-DNA-DNA甲基转移酶启动子的甲基化状态优于脑胶质瘤中基于组织的方法

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

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