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CancerCellTracker: a brightfield time-lapse microscopy framework for cancer drug sensitivity estimation., , , , , , , , , и 7 other автор(ы). Bioinform., 38 (16): 4002-4010 (2022)A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study., , , , , , , , и . J. Digit. Imaging, 29 (4): 476-487 (2016)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)Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97850T. SPIE, (2016)Imbalanced learning for clinical survival group prediction of brain tumor patients., , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9414 из SPIE Proceedings, стр. 94142K. SPIE, (2015)Performance comparison of quantitative semantic features and lung-RADS in the National Lung Screening Trial., , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 9787 из SPIE Proceedings, стр. 97870H. SPIE, (2016)Seed pruning using a multi-resolution approach for automated segmentation of breast cancer tissue., , и . ICIP, стр. 1436-1439. IEEE, (2008)A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets., , , , , , , , , и 1 other автор(ы). Nat. Mach. Intell., 2 (5): 274-282 (2020)Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction., , , , , , и . SMC, стр. 2624-2629. IEEE, (2014)