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Disambiguation of "Tahmasebi, Amir M."

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A Haptic-based Ultrasound Training/Examination System (HUTES).

, , and . ICRA, page 3130-3131. IEEE, (2007)

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Amir M Nia

Amir M Edalatpour

Ahmad Tahmasebi

Asghar Tahmasebi

Asghar Tahmasebi

 

Other publications of authors with the same name

Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning., , , , , , , , , and . J. Digital Imaging, 32 (1): 6-18 (2019)Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 10 (6): 727-735 (2015)A New Approach for Creating Customizable Cytoarchitectonic Probabilistic Maps without a Template., , , , , , and . MICCAI (1), volume 5762 of Lecture Notes in Computer Science, page 795-802. Springer, (2009)A Framework for the Design of a Novel Haptic-Based Medical Training Simulator., , , and . IEEE Trans. Information Technology in Biomedicine, 12 (5): 658-666 (2008)A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging., , , , , , , , and . EMBC, page 5412-5415. IEEE, (2012)Experimental Identification and Analysis of the Dynamics of a PHANToM Premium 1.5A Haptic Device., , and . Presence Teleoperators Virtual Environ., 17 (4): 327-343 (2008)Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy., , , , , , , , , and 3 other author(s). MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 653-661. (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)Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy., , , , , , , , , and 1 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 21-29. Springer, (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)