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Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling., , , and . IEEE Trans. Medical Imaging, 36 (1): 111-123 (2017)Digital image processing and pattern recognition techniques for the detection of cancer., , , and . Pattern Recognit., 42 (6): 1015-1016 (2009)Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT., , , , and . Medical Image Anal., 18 (5): 725-739 (2014)Tumor growth prediction with reaction-diffusion and hyperelastic biomechanical model by physiological data fusion., , , and . Medical Image Anal., 25 (1): 72-85 (2015)Demonstration of High-Throughput Building Block and Composition Analysis of Metal-Organic Frameworks., , , , , and . J. Chem. Inf. Model., 62 (19): 4672-4679 (2022)Open-Source Radiation Exposure Extraction Engine (RE3) with Patient-Specific Outlier Detection., , , , , , and . J. Digit. Imaging, 29 (4): 406-419 (2016)Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features., , and . J. Digit. Imaging, 25 (4): 550-557 (2012)Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation., , , , , , , and . CoRR, (2015)Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database., , , , , , and . CoRR, (2016)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning., , , , , , , , and . CoRR, (2016)