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Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.

R. Karim, P. Bhagirath, P. Claus, R. Housden, Z. Chen, Z. Karimaghaloo, H. Sohn, L. Rodríguez, S. Vera, X. Albà, A. Hennemuth, H. Peitgen, T. Arbel, M. Ballester, A. Frangi, M. Götte, R. Razavi, T. Schaeffter, and K. Rhode. Medical Image Anal., (2016)

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Zahra Negahdari

Reaction sintered alumina-lanthanum hexaaluminate compositesZ. Negahdari. Uni Bayreuth, (2009)

Zahra Taraf

Zahra Rajabi

Zahra Siejek

Zahra Gharaee

Other publications of authors with the same name

Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials.A. Doyle, C. Elliott, Z. Karimaghaloo, N. Subbanna, D. Arnold, and T. Arbel. BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 15-28. Springer, (2017)Localization of brachytherapy seeds in ultrasound by registration to fluoroscopy.P. Fallavollita, Z. Karimaghaloo, E. Burdette, D. Song, P. Abolmaesumi, and G. Fichtinger. Medical Imaging: Image-Guided Procedures, volume 7625 of SPIE Proceedings, page 762519. SPIE, (2010)Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI.Z. Karimaghaloo, H. Rivaz, D. Arnold, D. Collins, and T. Arbel. MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 543-550. Springer, (2013)Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.Z. Karimaghaloo, H. Rivaz, D. Arnold, D. Collins, and T. Arbel. IEEE Trans. Medical Imaging, 34 (6): 1227-1241 (2015)Hierarchical Conditional Random Fields for Detection of Gad-Enhancing Lesions in Multiple Sclerosis.Z. Karimaghaloo, D. Arnold, D. Collins, and T. Arbel. MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 379-386. Springer, (2012)Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information.H. Rivaz, Z. Karimaghaloo, V. Fonov, and D. Collins. IEEE Trans. Medical Imaging, 33 (3): 708-725 (2014)Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI Using Conditional Random Fields.Z. Karimaghaloo, M. Shah, S. Francis, D. Arnold, D. Collins, and T. Arbel. IEEE Trans. Medical Imaging, 31 (6): 1181-1194 (2012)Intraoperative localization of brachytherapy implants using intensity-based registration.Z. Karimaghaloo, P. Abolmaesumi, N. Ahmidi, T. Chen, D. Gobbi, and G. Fichtinger. Medical Imaging: Image-Guided Procedures, volume 7261 of SPIE Proceedings, page 726139. SPIE, (2009)Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.R. Karim, P. Bhagirath, P. Claus, R. Housden, Z. Chen, Z. Karimaghaloo, H. Sohn, L. Rodríguez, S. Vera, X. Albà and 9 other author(s). Medical Image Anal., (2016)Quantification of Edematic Effects in Prostate Brachytherapy Interventions.M. Hefny, P. Abolmaesumi, Z. Karimaghaloo, D. Gobbi, R. Ellis, and G. Fichtinger. MICCAI (2), volume 5242 of Lecture Notes in Computer Science, page 493-500. Springer, (2008)

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Disambiguation of "Karimaghaloo, Zahra"

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Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.

Please choose a person to relate this publication to

Zahra Negahdari

Zahra Taraf

Zahra Rajabi

Zahra Siejek

Zahra Gharaee

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Karimaghaloo, Zahra"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.

Please choose a person to relate this publication to

Zahra Negahdari

Zahra Taraf

Zahra Rajabi

Zahra Siejek

Zahra Gharaee

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images.