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Disambiguation of "Ahmadi, Seyed-Ahmad"

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Universal Hough dictionaries for object tracking.

, , , , , and . BMVC, page 122.1-122.11. BMVA Press, (2015)

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Seyed-Ahmad Ahmadi

Ahmad Ahmadi

Ahmad Seyed-Mozaffari

Seyed Ahmad Hosseinizadeh

Seyed Ahmad Ali Golriz

 

Other publications of authors with the same name

3D transcranial ultrasound as a novel intra-operative imaging technique for DBS surgery: a feasibility study., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (6): 891-900 (2015)Domain-Specific Loss Design for Unsupervised Physical Training: A New Approach to Modeling Medical ML Solutions., , , , , , , , and . MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 540-550. Springer, (2020)Robust Segmentation of Various Anatomies in 3D Ultrasound Using Hough Forests and Learned Data Representations., , , , , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 111-118. Springer, (2015)Diabetes60 - Inferring Bread Units From Food Images Using Fully Convolutional Neural Networks., , , , , , , , and . ICCV Workshops, page 1526-1535. IEEE Computer Society, (2017)Rigid US-MRI Registration Through Segmentation of Equivalent Anatomic Structures - A Feasibility Study using 3D Transcranial Ultrasound of the Midbrain., , , , and . Bildverarbeitung für die Medizin, page 410-415. Springer, (2012)Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound., , , , , , , , , and 1 other author(s). Comput. Vis. Image Underst., (2017)Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields., , , , , , , , , and 3 other author(s). MICCAI (2), volume 9901 of Lecture Notes in Computer Science, page 415-423. (2016)Frangi Goes US : Multiscale Tubular Structure Detection Adapted to 3D Ultrasound., , and . MICCAI (1), volume 7510 of Lecture Notes in Computer Science, page 625-633. Springer, (2012)Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes., , , and . GCPR, volume 9796 of Lecture Notes in Computer Science, page 439-450. Springer, (2016)Graph Convolution Based Attention Model for Personalized Disease Prediction., , , , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 122-130. Springer, (2019)