Jauniaux E, Grønbeck L, Bunce C, Langhoff-Roos J, Collins SL. Epidemiology of placenta previa accreta: a systematic review and meta-analysis. BMJ open 2019;9:e031193.
PubMed PubMed Central Google Scholar
Pegu B, Thiagaraju C, Nayak D, Subbaiah M. Placenta accreta spectrum-a catastrophic situation in obstetrics. Obstetrics & gynecology science 2021;64:239-47.
Kapoor H, Hanaoka M, Dawkins A, Khurana A. Review of MRI imaging for placenta accreta spectrum: Pathophysiologic insights, imaging signs, and recent developments. Placenta 2021;104:31-9.
Romeo V, Sarno L, Volpe A, Ginocchio MI, Esposito R, Mainenti PP, et al. US and MR imaging findings to detect placental adhesion spectrum (PAS) in patients with placenta previa: a comparative systematic study. Abdominal radiology (New York) 2019;44:3398-407.
Jha P, Pōder L, Bourgioti C, Bharwani N, Lewis S, Kamath A, et al. Society of Abdominal Radiology (SAR) and European Society of Urogenital Radiology (ESUR) joint consensus statement for MR imaging of placenta accreta spectrum disorders. European radiology 2020;30:2604-15.
Xuan R, Li T, Wang Y, Xu J, Jin W. Prenatal prediction and typing of placental invasion using MRI deep and radiomic features. 2021;20:56.
Chen Q, Zhang L, Liu S, You J, Chen L, Jin Z, et al. Radiomics in precision medicine for gastric cancer: opportunities and challenges. European radiology 2022;32:5852-68.
Peng L, Zhang X, Liu J, Liu Y, Huang J, Chen J, et al. MRI-radiomics-clinical-based nomogram for prenatal prediction of the placenta accreta spectrum disorders. 2022;32:7532–43.
Do QN, Lewis MA, Xi Y, Madhuranthakam AJ, Happe SK, Dashe JS, et al. MRI of the Placenta Accreta Spectrum (PAS) Disorder: Radiomics Analysis Correlates With Surgical and Pathological Outcome. Journal of magnetic resonance imaging : JMRI 2020;51:936-46.
Maurea S, Verde F, Mainenti PP, Barbuto L, Iacobellis F, Romeo V, et al. Qualitative evaluation of MR images for assessing placenta accreta spectrum disorders in patients with placenta previa: A pilot validation study. European journal of radiology 2022;146:110078.
Park HJ, Park B. Radiomics and Deep Learning: Hepatic Applications. 2020;21:387-401.
Liu T, Zhang ZH, Zhou QH, Cheng QZ, Yang Y, Li JS, et al. MI-DenseCFNet: deep learning-based multimodal diagnosis models for Aureus and Aspergillus pneumonia. European radiology 2024,34(8): 5066-76.
PubMed PubMed Central Google Scholar
van der Velden BHM, Kuijf HJ, Gilhuijs KGA, Viergever MA. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Medical image analysis 2022;79:102470.
Zong M, Pei X, Yan K, Luo D, Zhao Y, Wang P, et al. Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta. Journal of magnetic resonance imaging : JMRI 2024;59:510-21.
Chen Y, Wang L, Dong X, Luo R, Ge Y, Liu H, et al. Deep Learning Radiomics of Preoperative Breast MRI for Prediction of Axillary Lymph Node Metastasis in Breast Cancer. Journal of digital imaging 2023;36:1323-31.
PubMed PubMed Central Google Scholar
Luetkens JA, Nowak S, Mesropyan N, Block W, Praktiknjo M, Chang J, et al. Deep learning supports the differentiation of alcoholic and other-than-alcoholic cirrhosis based on MRI. Scientific reports 2022;12:8297.
CAS PubMed PubMed Central Google Scholar
Bhide A. Routine screening for placenta accreta spectrum. Best practice & research Clinical obstetrics & gynaecology 2023;90:102392.
Lu T, Wang Y, Guo A, Deng Y, Wu C, Li X, et al. Correlation of placental thickness and PAS disorders: findings from MRI. Abdominal radiology (New York) 2022;47:1150-6.
Singh S, Carusi DA, Wang P, Reitman-Ivashkov E, Landau R, Fields KG, et al. External Validation of a Multivariable Prediction Model for Placenta Accreta Spectrum. Anesthesia and analgesia 2023;137:537-47.
Ye Z, Xuan R, Ouyang M, Wang Y, Xu J, Jin W. Prediction of placenta accreta spectrum by combining deep learning and radiomics using T2WI: a multicenter study. Abdominal radiology (New York) 2022;47:4205-18.
Romeo V, Maurea S. The new era of advanced placental tissue characterization using MRI texture analysis: Clinical implications. EBioMedicine 2020;51:102588.
Huang S, Cai N, Pacheco PP, Narrandes S, Wang Y, Xu W. Applications of Support Vector Machine (SVM) Learning in Cancer Genomics. Cancer genomics & proteomics 2018;15:41-51.
Zheng Y, Zhou D, Liu H, Wen M. CT-based radiomics analysis of different machine learning models for differentiating benign and malignant parotid tumors. 2022;32:6953-64.
Zhang Y, Liu P, Tang LJ, Lin PM, Li R, Luo HR, et al. Basing on the machine learning model to analyse the coronary calcification score and the coronary flow reserve score to evaluate the degree of coronary artery stenosis. Computers in biology and medicine 2023;163:107130.
Luo Y, Li Y, Zhang Y, Zhang J, Liang M, Jiang L, et al. Parameter tuning in machine learning based on radiomics biomarkers of lung cancer. Journal of X-ray science and technology 2022;30:477-90.
Romeo V, Ricciardi C, Cuocolo R, Stanzione A, Verde F, Sarno L, et al. Machine learning analysis of MRI-derived texture features to predict placenta accreta spectrum in patients with placenta previa. Magnetic resonance imaging 2019;64:71-6.
Hederman AP, Ackerman ME. Leveraging deep learning to improve vaccine design. Trends in immunology 2023;44:333-44.
CAS PubMed PubMed Central Google Scholar
Sohn JH, Fields BKK. Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT. 2024;311:e233356.
Rudie JD, Duda J. Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. 2021;34:1049-58.
Ren H, Mori N, Mugikura S, Shimizu H, Kageyama S, Saito M, et al. Prediction of placenta accreta spectrum using texture analysis on coronal and sagittal T2-weighted imaging. Abdominal radiology (New York) 2021;46:5344-52.
Shahedi M, Spong CY, Dormer JD, Do QN, Xi Y, Lewis MA, et al. Deep learning-based segmentation of the placenta and uterus on MR images. Journal of medical imaging (Bellingham, Wash) 2021;8:054001.
Akazawa M, Hashimoto K. A multimodal deep learning model for predicting severe hemorrhage in placenta previa. Scientific reports 2023;13:17320.
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