Literature DB >> 31211633

Can Artificial Intelligence Fix the Reproducibility Problem of Radiomics?

Chang Min Park1.   

Abstract

Mesh：

Year:  2019        PMID： 31211633     DOI： 10.1148/radiol.2019191154

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  11 in total

1.  Using deep learning to predict microvascular invasion in hepatocellular carcinoma based on dynamic contrast-enhanced MRI combined with clinical parameters.

Authors:  Danjun Song; Yueyue Wang; Wentao Wang; Yining Wang; Jiabin Cai; Kai Zhu; Minzhi Lv; Qiang Gao; Jian Zhou; Jia Fan; Shengxiang Rao; Manning Wang; Xiaoying Wang
Journal:  J Cancer Res Clin Oncol       Date:  2021-04-10       Impact factor: 4.553

2.  Deep Radiomics-based Approach to the Diagnosis of Osteoporosis Using Hip Radiographs.

Authors:  Sangwook Kim; Bo Ram Kim; Hee-Dong Chae; Jimin Lee; Sung-Joon Ye; Dong Hyun Kim; Sung Hwan Hong; Ja-Young Choi; Hye Jin Yoo
Journal:  Radiol Artif Intell       Date:  2022-05-25

3.  Radiomics for Predicting Response of Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Chao Yang; Zekun Jiang; Tingting Cheng; Rongrong Zhou; Guangcan Wang; Di Jing; Linlin Bo; Pu Huang; Jianbo Wang; Daizhou Zhang; Jianwei Jiang; Xing Wang; Hua Lu; Zijian Zhang; Dengwang Li
Journal:  Front Oncol       Date:  2022-05-04       Impact factor: 5.738

4.  A meta-analysis of the diagnostic test accuracy of CT-based radiomics for the prediction of COVID-19 severity.

Authors:  Yung-Shuo Kao; Kun-Te Lin
Journal:  Radiol Med       Date:  2022-06-22       Impact factor: 6.313

5.  A Meta-Analysis for Using Radiomics to Predict Complete Pathological Response in Esophageal Cancer Patients Receiving Neoadjuvant Chemoradiation.

Authors:  Yung-Shuo Kao; Yen Hsu
Journal:  In Vivo       Date:  2021 May-Jun       Impact factor: 2.406

6.  Radiomics feature reproducibility under inter-rater variability in segmentations of CT images.

Authors:  Christoph Haarburger; Gustav Müller-Franzes; Leon Weninger; Christiane Kuhl; Daniel Truhn; Dorit Merhof
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

Review 7.  Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging.

Authors:  Cai-Wei Yang; Xi-Jiao Liu; Si-Yun Liu; Shang Wan; Zheng Ye; Bin Song
Journal:  Contrast Media Mol Imaging       Date:  2020-11-26       Impact factor: 3.161

8.  Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies.

Authors:  Lu Wang; Zhaoyu Liu; Jiayi Xie; Yuheng Chen; Xiaoqi Zhao; Zifan You; Mingshu Yang; Wei Qian; Jie Tian; Kristen Yeom; Jiangdian Song
Journal:  Radiol Imaging Cancer       Date:  2020-09-11

Review 9.  Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review.

Authors:  Krit Dwivedi; Michael Sharkey; Robin Condliffe; Johanna M Uthoff; Samer Alabed; Peter Metherall; Haiping Lu; Jim M Wild; Eric A Hoffman; Andrew J Swift; David G Kiely
Journal:  Diagnostics (Basel)       Date:  2021-04-09

10.  18F-FDG PET Radiomics as Predictor of Treatment Response in Oesophageal Cancer: A Systematic Review and Meta-Analysis.

Authors:  Letizia Deantonio; Maria Luisa Garo; Gaetano Paone; Maria Carla Valli; Stefano Cappio; Davide La Regina; Marco Cefali; Maria Celeste Palmarocchi; Alberto Vannelli; Sara De Dosso
Journal:  Front Oncol       Date:  2022-03-15       Impact factor: 6.244
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