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Segmenting anatomy in chest x-rays for tuberculosis screening., , and . EMBC, page 7779-7782. IEEE, (2011)Trends in computer-based medical systems., , , , , and . SIGHIT Record, 2 (2): 46-50 (2012)A review on lung boundary detection in chest X-rays., and . Int. J. Comput. Assist. Radiol. Surg., 14 (4): 563-576 (2019)A unified set of analysis tools for uterine cervix image segmentation., , , , , and . Comput. Medical Imaging Graph., 34 (8): 593-604 (2010)Biomedical Image Data Types and Processing.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis., , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531E. SPIE, (2019)Guest Editorial Small Things and Big Data: Controversies and Challenges in Digital Healthcare., , , , and . IEEE J. Biomed. Health Informatics, 23 (6): 2208-2210 (2019)Multimodal Entity Coreference for Cervical Dysplasia Diagnosis., , , , , , , and . IEEE Trans. Medical Imaging, 34 (1): 229-245 (2015)A novel stacked generalization of models for improved TB detection in chest radiographs., , , , , , , and . EMBC, page 718-721. IEEE, (2018)Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning., , , , , and . EMBC, page 5890-5893. IEEE, (2018)