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Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset., , , и . CoRR, (2020)Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas.. Int. J. Imaging Syst. Technol., 32 (3): 753-766 (2022)Current Topological and Machine Learning Applications for Bias Detection in Text., , , , , , , , , и . ICSPIS, стр. 190-195. IEEE, (2023)COVID-19 and Pneumonia Xrays., , , , и . (мая 2022)Representation of Deep Features using Radiologist defined Semantic Features., , , , , , , и . IJCNN, стр. 1-7. IEEE, (2018)Stability of deep features across CT scanners and field of view using a physical phantom., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105753P. SPIE, (2018)Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders., , , , и . CoRR, (2021)Classifying cooking object's state using a tuned VGG convolutional neural network.. CoRR, (2018)Make Your Bone Great Again : A study on Osteoporosis Classification., , , и . CoRR, (2017)Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future., , , , и . Comput. Biol. Medicine, (2020)