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Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.

A. Podgorsak, A. Venkataraman, S. Nagesh, D. Bednarek, S. Rudin, A. Siddiqui, and C. Ionita. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780L. SPIE, (2018)

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Sidra Siddiqui University of Stuttgart

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High-resolution MRI of the mouse cerebral vasculature to study hemodynamic-induced vascular remodeling.H. Rajabzadeh-Oghaz, A. Chandra, L. Gutierrez, F. Schweser, C. Ionita, A. Siddiqui, and V. Tutino. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 109531F. SPIE, (2019)Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.A. Podgorsak, A. Venkataraman, S. Nagesh, D. Bednarek, S. Rudin, A. Siddiqui, and C. Ionita. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780L. SPIE, (2018)X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD).C. Ionita, A. Venkataraman, A. Podgorsak, K. Sommer, L. Shepard, and A. Siddiqui. Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 105760R. SPIE, (2018)Masked smoothing using separable kernels for CT perfusion images.D. Wack, K. Snyder, K. Seals, and A. Siddiqui. BMC Medical Imaging, (2014)Design and Development of Surgeon Augmented Endovascular Robotic System.N. Sankaran, P. Chembrammel, A. Siddiqui, K. Snyder, and T. Kesavadas. IEEE Trans. Biomed. Engineering, 65 (11): 2483-2493 (2018)Angiographic analysis for phantom simulations of endovascular aneurysm treatments with a new fully retrievable asymmetric flow diverter.A. Yoganand, R. Wood, C. Jimenez, A. Siddiqui, K. Snyder, S. Nagesh, D. Bednarek, S. Rudin, R. Baier, and C. Ionita. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94170W. SPIE, (2015)Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging.M. Bhurwani, A. Podgorsak, A. Chandra, R. Rava, K. Snyder, E. Levy, J. Davies, A. Siddiqui, and C. Ionita. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502A. SPIE, (2019)Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches.H. Rajabzadeh-Oghaz, N. Varble, J. Davies, A. Mowla, H. Shakir, A. Sonig, H. Shallwani, K. Snyder, E. Levy, A. Siddiqui and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341C. SPIE, (2017)The influence of labeling techniques in classifying human manipulation movement of different speed.S. Siddiqui, L. Gutzeit, and F. Kirchner. CoRR, (2022)Association between hemodynamic modifications and clinical outcome of intracranial aneurysms treated using flow diverters.N. Paliwal, R. Damiano, J. Davies, A. Siddiqui, and H. Meng. Medical Imaging: Image-Guided Procedures, volume 10135 of SPIE Proceedings, page 101352F. SPIE, (2017)

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Disambiguation of "Siddiqui, Adnan"

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Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.

Please choose a person to relate this publication to

Sidra Siddiqui University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Siddiqui, Adnan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.

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Sidra Siddiqui University of Stuttgart

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Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.