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Disambiguation of "Tahmasebi, Amir M."

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Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection.

, , , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (7): 1111-1121 (2017)

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Amir M Nia

Amir M Edalatpour

Ahmad Tahmasebi

Asghar Tahmasebi

Asghar Tahmasebi

 

Other publications of authors with the same name

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)Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations., , , , , , , , , and 6 other author(s). Int. J. Comput. Assist. Radiol. Surg., 12 (8): 1293-1305 (2017)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)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)Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning., , , , , , , , , and . J. Digital Imaging, 32 (1): 6-18 (2019)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 Haptic-based Ultrasound Training/Examination System (HUTES)., , and . ICRA, page 3130-3131. IEEE, (2007)A validation framework for probabilistic maps using Heschl's gyrus as a model., , , and . NeuroImage, 50 (2): 532-544 (2010)