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Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling., , , и . IEEE Trans. Medical Imaging, 36 (1): 111-123 (2017)Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion., , , и . Medical Image Anal., 25 (1): 72-85 (2015)Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT., , , , и . Medical Image Anal., 18 (5): 725-739 (2014)SC-AIR-BERT: a pre-trained single-cell model for predicting the antigen-binding specificity of the adaptive immune receptor., , , , , , , , и . Briefings Bioinform., (июля 2023)Demonstration of High-Throughput Building Block and Composition Analysis of Metal-Organic Frameworks., , , , , и . J. Chem. Inf. Model., 62 (19): 4672-4679 (2022)Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire., , , , , , , , , и 1 other автор(ы). Briefings Bioinform., (января 2023)Digital image processing and pattern recognition techniques for the detection of cancer., , , и . Pattern Recognit., 42 (6): 1015-1016 (2009)Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features., , и . J. Digit. Imaging, 25 (4): 550-557 (2012)Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection., , , , , , и . J. Digit. Imaging, 29 (4): 406-419 (2016)Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging., , , , , , , , и . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)