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Generative multi-adversarial network for striking the right balance in abdominal image segmentation.

, , , , and . Int. J. Comput. Assist. Radiol. Surg., 15 (11): 1847-1858 (2020)

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Deep learning for electronic cleansing in dual-energy CT colonography., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851M. SPIE, (2016)Local contralateral subtraction based on simultaneous segmentation and registration method for computerized detection of pulmonary nodules.. Medical Imaging: Image Processing, volume 4322 of SPIE Proceedings, SPIE, (2001)Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105753R. SPIE, (2018)Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography., , , and . Abdominal Imaging, volume 7601 of Lecture Notes in Computer Science, page 69-77. Springer, (2012)Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy CT Colonography., , and . Abdominal Imaging, volume 7601 of Lecture Notes in Computer Science, page 30-39. Springer, (2012)Ensemble Detection of Colorectal Lesions for CT Colonography., , and . Abdominal Imaging, volume 7029 of Lecture Notes in Computer Science, page 60-67. Springer, (2011)Electronic cleansing for dual-energy CT colonography based on material decomposition and virtual monochromatic imaging., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 94140Q. SPIE, (2015)Formalization and Verification of Declarative Cloud Orchestration., , and . ICFEM, volume 9407 of Lecture Notes in Computer Science, page 33-49. Springer, (2015)Cloud-super-computing virtual colonoscopy with motion-based navigation for colon cancer screening.. ICCE-Berlin, page 165-167. IEEE, (2013)An approach for analysis of urban morphology: methods to derive morphological properties of city blocks by using an urban landscape model and their interpretations., and . Comput. Environ. Urban Syst., 29 (2): 223-247 (2005)