标题/作者	年份
The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338	2020
Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis A Zwanenburg European journal of nuclear medicine and molecular imaging 46 (13), 2638-2655	2019
Repeatability of multiparametric prostate MRI radiomics features M Schwier, J Van Griethuysen, MG Vangel, S Pieper, S Peled, ... Scientific reports 9 (1), 9441	2019
Radiogenomics: bridging imaging and genomics Z Bodalal, S Trebeschi, TDL Nguyen-Kim, W Schats, R Beets-Tan Abdominal radiology 44 (6), 1960-1984	2019
Assessing robustness of radiomic features by image perturbation A Zwanenburg, S Leger, L Agolli, K Pilz, EGC Troost, C Richter, S Löck Scientific reports 9 (1), 614	2019
Radiomics in breast cancer classification and prediction A Conti, A Duggento, I Indovina, M Guerrisi, N Toschi Seminars in cancer biology 72, 238-250	2021
Repeatability and reproducibility of MRI-based radiomic features in cervical cancer S Fiset, ML Welch, J Weiss, M Pintilie, JL Conway, M Milosevic, A Fyles, ... Radiotherapy and Oncology 135, 107-114	2019
Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform I Fornacon-Wood, H Mistry, CJ Ackermann, F Blackhall, A McPartlin, ... European radiology 30, 6241-6250	2020
Predicting cancer outcomes with radiomics and artificial intelligence in radiology K Bera, N Braman, A Gupta, V Velcheti, A Madabhushi Nature Reviews Clinical Oncology 19 (2), 132-146	2022
Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives MR Chetan, FV Gleeson European radiology 31, 1049-1058	2021
Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications S Ather, T Kadir, F Gleeson Clinical radiology 75 (1), 13-19	2020
Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate-and high-risk prostate cancer-a comparison study with histology reference C Zamboglou, M Carles, T Fechter, S Kiefer, K Reichel, TF Fassbender, ... Theranostics 9 (9), 2595	2019
Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics YS Choi, S Bae, JH Chang, SG Kang, SH Kim, J Kim, TH Rim, SH Choi, ... Neuro-oncology 23 (2), 304-313	2021
Impact of image preprocessing on the scanner dependence of multi-parametric MRI radiomic features and covariate shift in multi-institutional glioblastoma datasets H Um, F Tixier, D Bermudez, JO Deasy, RJ Young, H Veeraraghavan Physics in Medicine & Biology 64 (16), 165011	2019
Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence A Hagiwara, S Fujita, Y Ohno, S Aoki Investigative radiology 55 (9), 601	2020
MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma SJ Hectors, S Lewis, C Besa, MJ King, D Said, J Putra, S Ward, T Higashi, ... European radiology 30, 3759-3769	2020
T2w‐MRI signal normalization affects radiomics features reproducibility E Scalco, A Belfatto, A Mastropietro, T Rancati, B Avuzzi, A Messina, ... Medical physics 47 (4), 1680-1691	2020
Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization P Papadimitroulas, L Brocki, NC Chung, W Marchadour, F Vermet, ... Physica Medica 83, 108-121	2021
Robustness of radiomic features in magnetic resonance imaging: review and a phantom study R Cattell, S Chen, C Huang Visual computing for industry, biomedicine, and art 2, 1-16	2019
Radiomics features measured with multiparametric magnetic resonance imaging predict prostate cancer aggressiveness SJ Hectors, M Cherny, KK Yadav, AT Beksaç, H Thulasidass, S Lewis, ... The Journal of urology 202 (3), 498-505	2019

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