Alpha 2.0
Login Register
» Authors » Abudoukeyoumujiang Abulizi

Abudoukeyoumujiang Abulizi

Explore the profile of Abudoukeyoumujiang Abulizi including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 30
Followers 0
Related Specialties
Radiology
General Medicine
Biology
Top 10 Co-Authors
Mayidili Nijiati
Xiaoguang Zou
Abudouresuli Tuersun
Lin Guo
Li Xia
Shiyu Fan
Yasen Yimit
Kunlei Hong
Parhat Yasin
Adili Abulaiti
Published In
J Xray Sci Technol
Eur J Radiol
BMC Infect Dis
Front Mol Biosci
iScience
Affiliations
Soon will be listed here.
Recent Articles
1.
Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning
Fan S, Abulizi A, You Y, Huang C, Yimit Y, Li Q, et al.
BMC Infect Dis . 2024 Aug; 24(1):875. PMID: 39198742
Background: Pulmonary tuberculosis (PTB) is a prevalent chronic disease associated with a significant economic burden on patients. Using machine learning to predict hospitalization costs can allocate medical resources effectively and...
2.
Differentiation between cerebral alveolar echinococcosis and brain metastases with radiomics combined machine learning approach
Yimit Y, Yasin P, Tuersun A, Abulizi A, Jia W, Wang Y, et al.
Eur J Med Res . 2023 Dec; 28(1):577. PMID: 38071384
Background: Cerebral alveolar echinococcosis (CAE) and brain metastases (BM) share similar in locations and imaging appearance. However, they require distinct treatment approaches, with CAE typically treated with chemotherapy and surgery,...
3.
Deep learning on longitudinal CT scans: automated prediction of treatment outcomes in hospitalized tuberculosis patients
Nijiati M, Guo L, Tuersun A, Damola M, Abulizi A, Dong J, et al.
iScience . 2023 Nov; 26(11):108326. PMID: 37965132
Three deep learning (DL)-based prediction models (PMs) using longitudinal CT images were developed to predict tuberculosis (TB) treatment outcomes. The internal dataset consists of 493 bacteriologically confirmed TB patients who...
4.
Deep learning and radiomics of longitudinal CT scans for early prediction of tuberculosis treatment outcomes
Nijiati M, Guo L, Abulizi A, Fan S, Wubuli A, Tuersun A, et al.
Eur J Radiol . 2023 Nov; 169:111180. PMID: 37949023
Background: To predict tuberculosis (TB) treatment outcomes at an early stage, prevent poor outcomes ofdrug-resistant tuberculosis(DR-TB) and interrupt transmission. Methods: An internal cohort for model development consists of 204 bacteriologically-confirmed...
5.
A symmetric prior knowledge based deep learning model for intracerebral hemorrhage lesion segmentation
Nijiati M, Tuersun A, Zhang Y, Yuan Q, Gong P, Abulizi A, et al.
Front Physiol . 2022 Dec; 13:977427. PMID: 36505076
Accurate localization and classification of intracerebral hemorrhage (ICH) lesions are of great significance for the treatment and prognosis of patients with ICH. The purpose of this study is to develop...
6.
Artificial Intelligence Assisting the Early Detection of Active Pulmonary Tuberculosis From Chest X-Rays: A Population-Based Study
Nijiati M, Ma J, Hu C, Tuersun A, Abulizi A, Kelimu A, et al.
Front Mol Biosci . 2022 Apr; 9:874475. PMID: 35463963
As a major infectious disease, (TB) still poses a threat to people's health in China. As a triage test for TB, reading chest radiography with traditional approach ends up with...
7.
Deep learning assistance for tuberculosis diagnosis with chest radiography in low-resource settings
Nijiati M, Zhang Z, Abulizi A, Miao H, Tuluhong A, Quan S, et al.
J Xray Sci Technol . 2021 Jul; 29(5):785-796. PMID: 34219703
Tuberculosis (TB) is a major health issue with high mortality rates worldwide. Recently, tremendous researches of artificial intelligence (AI) have been conducted targeting at TB to reduce the diagnostic burden....