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Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.

, , , , , and . BMC Medical Imaging, (2016)

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Residential Load Pattern Analysis for Smart Grid Applications Based on Audio Feature EEUPC., , , , , , and . Int. J. Adv. Pervasive Ubiquitous Comput., 3 (2): 39-53 (2011)Applying a radiomics approach to predict prognosis of lung cancer patients., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851E. SPIE, (2016)A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images., , , , , and . Comput. Methods Programs Biomed., (2017)Bayesian Inversion for Surface Magnetic Resonance Tomography Based on Geostatistics., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Comparing digital libraries with social media from the dual route perspective., , , , , , and . Online Inf. Rev., 43 (4): 617-634 (2019)Process fault detection of cement calcination system based on median filtered DPCA., , , , , and . SAFEPROCESS, page 1-6. IEEE, (2023)An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978521. SPIE, (2016)Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction., , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (10): 1819-1828 (2017)Predicting Purchase Decisions Based on Spatio-Temporal Functional MRI Features Using Machine Learning., , , and . IEEE Trans. Auton. Ment. Dev., 7 (3): 248-255 (2015)Applying a CAD-generated imaging marker to assess short-term breast cancer risk., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753F. SPIE, (2018)