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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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Chalid Assaf

Ali Assaf

Taher Assaf

Nidal Assaf

Antoine Assaf

Other publications of authors with the same name

Natural Language Generation Model for Mammography Reports Simulation.A. Hoogi, A. Mishra, F. Gimenez, J. Dong, and D. Rubin. IEEE J. Biomed. Health Informatics, 24 (9): 2711-2717 (2020)Unsupervised Iterative U-Net with an Internal Guidance Layer for Vertebrae Contrast Enhancement in Chest X-Ray Images.E. Eidlin, A. Hoogi, and N. Netanyahu. CoRR, (2023)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)Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions.A. Hoogi, C. Beaulieu, G. Cunha, E. Heba, C. Sirlin, S. Napel, and D. Rubin. CoRR, (2016)Self-Attention Capsule Networks for Image Classification.A. Hoogi, B. Wilcox, Y. Gupta, and D. Rubin. CoRR, (2019)Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.A. Hoogi, A. Subramaniam, R. Veerapaneni, and D. Rubin. IEEE Trans. Medical Imaging, 36 (3): 781-791 (2017)Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.I. Diamant, A. Hoogi, C. Beaulieu, M. Safdari, E. Klang, M. Amitai, H. Greenspan, and D. Rubin. IEEE J. Biomed. Health Informatics, 20 (6): 1585-1594 (2016)Weighted locality-constrained linear coding for lesion classification in CT images.Y. Yuan, A. Hoogi, C. Beaulieu, M. Meng, and D. Rubin. EMBC, page 6362-6365. IEEE, (2015)Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles.J. Barker, A. Hoogi, A. Depeursinge, and D. Rubin. Medical Image Anal., (2016)Adaptive local window for level set segmentation of CT and MRI liver lesions.A. Hoogi, C. Beaulieu, G. Cunha, E. Heba, C. Sirlin, S. Napel, and D. Rubin. Medical Image Anal., (2017)

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Disambiguation of "Hoogi, Assaf"

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

Please choose a person to relate this publication to

Chalid Assaf

Ali Assaf

Taher Assaf

Nidal Assaf

Antoine Assaf

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hoogi, Assaf"

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.

Please choose a person to relate this publication to

Chalid Assaf

Ali Assaf

Taher Assaf

Nidal Assaf

Antoine Assaf

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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