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High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models., , , , , , , , , and . Medical Image Anal., 14 (4): 617-629 (2010)A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs., , , , , , , , , and 3 other author(s). ISBI, page 1851-1855. IEEE, (2020)An algorithm for fully automatic detection of calcium in chest CT imaging., , , , and . ISBI, page 265-269. IEEE, (2017)Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate., , , , and . IEEE Trans. Med. Imaging, 31 (11): 2073-2082 (2012)3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes., , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 612-619. Springer, (2018)Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy., , , , , , , , , and 6 other author(s). CLIP@MICCAI, volume 8680 of Lecture Notes in Computer Science, page 142-150. Springer, (2014)Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach., , , and . Int. J. Energy Optim. Eng., 7 (3): 1-23 (2018)Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images., , , and . MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 76-83. Springer, (2010)Lymphoma diagnosis in histopathology using a multi-stage visual learning approach., , , , and . Medical Imaging: Digital Pathology, volume 9791 of SPIE Proceedings, page 97910H. SPIE, (2016)Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks., , , , , , , , , and 4 other author(s). MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 70-77. Springer, (2015)