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Synthetic data in machine learning for medicine and healthcare.
Nat Biomed Eng. 2021 Jun;5(6):493-497. doi: 10.1038/s41551-021-00751-8.
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CT-based machine learning model to predict the Fuhrman nuclear grade of clear cell renal cell carcinoma.
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Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics.
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[CME ultrasound diagnosis 51. Follow up study. Suspected recurrence of a renal cell carcinoma].
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Data-efficient and weakly supervised computational pathology on whole-slide images.
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Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning.
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Multimodal integration strategies for clinical application in oncology.
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A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology.
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Ethical and secure evidence generation from regionwide clinical data through a collaborative environment for advancing predictive care.
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Generating synthetic multidimensional molecular time series data for machine learning: considerations.
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Analysis of Microbiome for AP and CRC Discrimination.
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Efficient Privacy-preserving Logistic Model With Malicious Security.
IEEE Trans Inf Forensics Secur. 2024;19:5751-5766. doi: 10.1109/tifs.2024.3402319. Epub 2024 May 17.
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CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection.
IEEE Access. 2020 May 14;8:91916-91923. doi: 10.1109/ACCESS.2020.2994762. eCollection 2020.
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EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.
Med Image Anal. 2021 Jul;71:102058. doi: 10.1016/j.media.2021.102058. Epub 2021 Apr 15.
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A three-dimensional virtual mouse generates synthetic training data for behavioral analysis.
Nat Methods. 2021 Apr;18(4):378-381. doi: 10.1038/s41592-021-01103-9. Epub 2021 Apr 5.
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Evaluating the utility of synthetic COVID-19 case data.
JAMIA Open. 2021 Mar 1;4(1):ooab012. doi: 10.1093/jamiaopen/ooab012. eCollection 2021 Jan.
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Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data.
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Generating high-fidelity synthetic patient data for assessing machine learning healthcare software.
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SynTEG: a framework for temporal structured electronic health data simulation.
J Am Med Inform Assoc. 2021 Mar 1;28(3):596-604. doi: 10.1093/jamia/ocaa262.
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COVID-19 CT Image Synthesis With a Conditional Generative Adversarial Network.
IEEE J Biomed Health Inform. 2021 Feb;25(2):441-452. doi: 10.1109/JBHI.2020.3042523. Epub 2021 Feb 5.

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