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Disambiguation of "Rivaz, Hassan"

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Ultrasound Elastography Using Three Images.

, , , and . MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 371-378. Springer, (2011)

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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.

Dr. -Ing. Hassan Gomaa University of Stuttgart

Asmaa Hassan University of Stuttgart

Hassan Hayeri University of Stuttgart

Mohamed Hassan University of Stuttgart

Muhammad Khubaib ul Hassan Khan University of Stuttgart

 

Other publications of authors with the same name

Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery., and . Int. J. Comput. Assist. Radiol. Surg., 10 (7): 1017-1028 (2015)Multi-Focus Ultrasound Imaging Using Generative Adversarial Networks., , and . ISBI, page 1118-1121. IEEE, (2019)Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information., , , and . IEEE Trans. Med. Imaging, 33 (3): 708-725 (2014)Ultrasound elastography using multiple images., , , and . Medical Image Analysis, 18 (2): 314-329 (2014)Tracked Regularized Ultrasound Elastography for Targeting Breast Radiotherapy., , , , , and . MICCAI (1), volume 5761 of Lecture Notes in Computer Science, page 507-515. Springer, (2009)Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy., , , , , and . IEEE Trans. Med. Imaging, 37 (2): 428-437 (2018)Combining Total Variation Regularization with Window-Based Time Delay Estimation in Ultrasound Elastography., , and . IEEE Trans. Med. Imaging, 38 (12): 2744-2754 (2019)Self-similarity weighted mutual information: A new nonrigid image registration metric., , and . Medical Image Analysis, 18 (2): 343-358 (2014)ARENA: Inter-modality affine registration using evolutionary strategy., , and . Int. J. Comput. Assist. Radiol. Surg., 14 (3): 441-450 (2019)Ultrasound segmentation using U-Net: learning from simulated data and testing on real data., and . CoRR, (2019)