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Tree-Based Transforms for Privileged Learning.

, , и . MLMI@MICCAI, том 10019 из Lecture Notes in Computer Science, стр. 188-195. (2016)

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Malika Mehdi

Ahmad Mehdizadeh

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Babak Moradi

 

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Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy., , , , , , , , , и 6 other автор(ы). CLIP@MICCAI, том 8680 из Lecture Notes in Computer Science, стр. 142-150. Springer, (2014)3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes., , , и . MICCAI (3), том 11072 из Lecture Notes in Computer Science, стр. 612-619. Springer, (2018)Lymphoma diagnosis in histopathology using a multi-stage visual learning approach., , , , и . Medical Imaging: Digital Pathology, том 9791 из SPIE Proceedings, стр. 97910H. SPIE, (2016)Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate., , , , и . IEEE Trans. Med. Imaging, 31 (11): 2073-2082 (2012)An algorithm for fully automatic detection of calcium in chest CT imaging., , , , и . ISBI, стр. 265-269. IEEE, (2017)A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs., , , , , , , , , и 3 other автор(ы). ISBI, стр. 1851-1855. IEEE, (2020)Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach., , , и . Int. J. Energy Optim. Eng., 7 (3): 1-23 (2018)High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models., , , , , , , , , и . Medical Image Anal., 14 (4): 617-629 (2010)Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks., , , , , , , , , и 4 other автор(ы). MICCAI (2), том 9350 из Lecture Notes in Computer Science, стр. 70-77. Springer, (2015)Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data., , , , , , , и . MICCAI (3), том 9902 из Lecture Notes in Computer Science, стр. 238-245. (2016)