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Abudumijiti Aibaidula
Researcher at Fudan University
Publications - 21
Citations - 322
Abudumijiti Aibaidula is an academic researcher from Fudan University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 8, co-authored 15 publications receiving 171 citations. Previous affiliations of Abudumijiti Aibaidula include Mayo Clinic.
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Journal ArticleDOI
IDH mutant lower grade (WHO Grades II/III) astrocytomas can be stratified for risk by CDKN2A, CDK4 and PDGFRA copy number alterations
Rui Ryan Yang,Zhi feng Shi,Zhen-Yu Zhang,Aden Ka-Yin Chan,Abudumijiti Aibaidula,Wei wei Wang,Johnny S. H. Kwan,Wai Sang Poon,Hong Chen,Wen cai Li,Nellie Yuk Fei Chung,Gopika Punchhi,William Ching Yuen Chu,Ivan Sik Hei Chan,Xian zhi Liu,Ying Mao,Kay Ka Wai Li,Ho Keung Ng +17 more
TL;DR: The data illustrate that IDH mutant lower grade astrocytomas is not a homogeneous group and should be molecularly stratified for risk, and these alterations occurred in a mutually exclusive fashion.
Journal ArticleDOI
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients
Zhenyu Tang,Yuyun Xu,Lei Jin,Abudumijiti Aibaidula,Junfeng Lu,Zhicheng Jiao,Jinsong Wu,Han Zhang,Dinggang Shen +8 more
TL;DR: A new deep learning-based OS prediction method for GBM patients, which can derive tumor genotype-related features from pre-operative multimodal magnetic resonance imaging (MRI) brain data and feed them to OS prediction, achieves the highest OS prediction accuracy compared to other state-of-the-art methods.
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Artificial intelligence neuropathologist for glioma classification using deep learning on hematoxylin and eosin stained slide images and molecular markers
Lei Jin,Feng Shi,Chun Qiuping,Hong Chen,Yixin Ma,Shuai Wu,N U Farrukh Hameed,Chunming Mei,Junfeng Lu,Jun Zhang,Abudumijiti Aibaidula,Dinggang Shen,Jinsong Wu +12 more
TL;DR: A new model of the squeeze-and-excitation block DenseNet with weighted cross-entropy (named SD-Net_WCE) is developed for the glioma classification task, which is capable of solving multiple classification tasks and can satisfactorily able to classifyglioma subtypes.
Journal ArticleDOI
Pediatric low-grade gliomas can be molecularly stratified for risk.
Rui Ryan Yang,Rui Ryan Yang,Abudumijiti Aibaidula,Wei wei Wang,Aden Ka-Yin Chan,Zhi feng Shi,Zhen-Yu Zhang,Danny Tat Ming Chan,Wai Sang Poon,Xian zhi Liu,Wen cai Li,Rui qi Zhang,Yan Xi Li,Nellie Yuk Fei Chung,Hong Chen,Jingsong Wu,Liangfu Zhou,Kay Ka Wai Li,Ho Keung Ng +18 more
TL;DR: Survival analysis revealed that TERTp mutation, H3F3A mutation, and ATRX loss were significantly associated with poor PFS, and it was shown that these molecular biomarkers can be used to stratify PLGGs into low- (KIAA1549-BRAF fusion or MYB amplification), intermediate-I, intermediate-II, and high-risk groups with distinct PFS.
Journal ArticleDOI
Not all 1p/19q non-codeleted oligodendroglial tumors are astrocytic.
Yan Xi Li,Zhifeng Shi,Abudumijiti Aibaidula,Hong Chen,Qisheng Tang,Kay Ka Wai Li,Nellie Yuk Fei Chung,Danny Tat Ming Chan,Wai Sang Poon,Ying Mao,Jinsong Wu,Liangfu Zhou,Aden Ka-Yin Chan,Ho Keung Ng +13 more
TL;DR: It is demonstrated that not all 1p/19q intact oligodendroglial tumors are astrocytic and co-evaluation of IDH and TERTp mutation could potentially serve as an adjunct for diagnosing 1p/.