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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

Z. Akkus, A. Galimzianova, A. Hoogi, D. Rubin, and B. Erickson. J. Digit. Imaging, 30 (4): 449-459 (2017)

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Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning.M. Elwazir, Z. Akkus, D. Oguz, and J. Oh. CoRR, (2020)Extraction of brain tissue from CT head images using fully convolutional neural networks.Z. Akkus, P. Kostandy, K. Philbrick, and B. Erickson. Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 1057420. SPIE, (2018)Fully Automated Segmentation of Bladder Sac and Measurement of Detrusor Wall Thickness from Transabdominal Ultrasound Images.Z. Akkus, B. Kim, R. Nayak, A. Gregory, A. Alizad, and M. Fatemi. Sensors, 20 (15): 4175 (2020)Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning.Z. Akkus, I. Ali, J. Sedlár, T. Kline, J. Agrawal, I. Parney, C. Giannini, and B. Erickson. CoRR, (2016)Interactive segmentation of medical images through fully convolutional neural networks.T. Sakinis, F. Milletari, H. Roth, P. Korfiatis, P. Kostandy, K. Philbrick, Z. Akkus, Z. Xu, D. Xu, and B. Erickson. CoRR, (2019)Nonrigid motion compensation in B-mode and contrast enhanced ultrasound image sequences of the carotid artery.D. Carvalho, Z. Akkus, J. Bosch, S. van den Oord, W. Niessen, and S. Klein. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90340N. SPIE, (2014)Atherosclerotic carotid lumen segmentation in combined B-mode and contrast enhanced ultrasound images.Z. Akkus, D. Carvalho, S. Klein, S. van den Oord, A. Schinkel, N. de Jong, A. van der Steen, and J. Bosch. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903445. SPIE, (2014)Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.Z. Akkus, A. Galimzianova, A. Hoogi, D. Rubin, and B. Erickson. J. Digit. Imaging, 30 (4): 449-459 (2017)Reduction of unnecessary thyroid biopsies using deep learning.Z. Akkus, A. Boonrod, M. Siddiquee, K. Philbrick, M. Stan, R. Castro, D. Erickson, M. Callstrom, and B. Erickson. Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490W. SPIE, (2019)Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning.M. Elwazir, Z. Akkus, D. Oguz, Z. Ye, and J. Oh. BIBE, page 691-696. IEEE, (2020)

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Disambiguation of "Akkus, Zeynettin"

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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

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Disambiguation of "Akkus, Zeynettin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.

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Other publications of authors with the same name

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Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.