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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)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)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning., , , , , , , , and . CoRR, (2016)Convolutional Invasion and Expansion Networks for Tumor Growth Prediction., , , , and . CoRR, (2018)Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging., , , , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)Organ Pose Distribution Model and an MAP Framework for Automated Abdominal Multi-organ Localization., , , and . MIAR, volume 6326 of Lecture Notes in Computer Science, page 393-402. Springer, (2010)Tumor Growth Prediction with Hyperelastic Biomechanical Model, Physiological Data Fusion, and Nonlinear Optimization., , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 25-32. Springer, (2014)Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images., , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 340-347. Springer, (2013)Multimodal Image Driven Patient Specific Tumor Growth Modeling., , , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 283-290. Springer, (2013)Learning Shape and Texture Characteristics of CT Tree-in-Bud Opacities for CAD Systems., , , , , and . MICCAI (3), volume 6893 of Lecture Notes in Computer Science, page 215-222. Springer, (2011)