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Disambiguation of "Moradi, Mehdi"

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Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets.

, and . MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 694-701. Springer, (2015)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Malika Mehdi

Ahmad Mehdizadeh

Alexander Moradi

Hadis Moradi

Babak Moradi

 

Other publications of authors with the same name

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)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 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)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)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)High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models., , , , , , , , , and . Medical Image Anal., 14 (4): 617-629 (2010)Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach., , , and . Int. J. Energy Optim. Eng., 7 (3): 1-23 (2018)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)