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Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.

D. Lu, M. Heisler, D. Ma, S. Dabiri, S. Lee, G. Ding, M. Sarunic, and M. Beg. CoRR, (2019)

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Dariusch Dabiri

Setareh Khalilian

Manutschehr Setareh

Setareh Maleknia

Samandar Setareh

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Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.D. Ma, D. Lu, M. Heisler, S. Dabiri, S. Lee, G. Ding, M. Sarunic, and M. Beg. MIDL, volume 121 of Proceedings of Machine Learning Research, page 493-502. PMLR, (2020)Deep learning method for localization and segmentation of abdominal CT.S. Dabiri, K. Popuri, C. Ma, V. Chow, E. Feliciano, B. Caan, V. Baracos, and M. Beg. Comput. Medical Imaging Graph., (2020)Muscle segmentation in axial computed tomography (CT) images at the lumbar (L3) and thoracic (T4) levels for body composition analysis.S. Dabiri, K. Popuri, E. Feliciano, B. Caan, V. Baracos, and M. Beg. Comput. Medical Imaging Graph., (2019)Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.D. Lu, M. Heisler, D. Ma, S. Dabiri, S. Lee, G. Ding, M. Sarunic, and M. Beg. CoRR, (2019)Realistically distributing object placements in synthetic training data improves the performance of vision-based object detection models.S. Dabiri, V. Lioutas, B. Zwartsenberg, Y. Liu, M. Niedoba, X. Liang, D. Green, J. Sefas, J. Lavington, F. Wood and 1 other author(s). CoRR, (2023)Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images.Y. Liu, V. Lioutas, J. Lavington, M. Niedoba, J. Sefas, S. Dabiri, D. Green, X. Liang, B. Zwartsenberg, A. Scibior and 1 other author(s). ITSC, page 3261-3267. IEEE, (2023)LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.D. Ma, D. Lu, S. Chen, M. Heisler, S. Dabiri, S. Lee, H. Lee, G. Ding, M. Sarunic, and M. Beg. Comput. Medical Imaging Graph., (2021)Critic Sequential Monte Carlo.V. Lioutas, J. Lavington, J. Sefas, M. Niedoba, Y. Liu, B. Zwartsenberg, S. Dabiri, F. Wood, and A. Scibior. CoRR, (2022)Video Killed the HD-Map: Predicting Driving Behavior Directly From Drone Images.Y. Liu, V. Lioutas, J. Lavington, M. Niedoba, J. Sefas, S. Dabiri, D. Green, X. Liang, B. Zwartsenberg, A. Scibior and 1 other author(s). CoRR, (2023)Nearest Neighbour Score Estimators for Diffusion Generative Models.M. Niedoba, D. Green, S. Naderiparizi, V. Lioutas, J. Lavington, X. Liang, Y. Liu, K. Zhang, S. Dabiri, A. Scibior and 2 other author(s). CoRR, (2024)

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Disambiguation of "Dabiri, Setareh"

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URL
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Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.

Please choose a person to relate this publication to

Dariusch Dabiri

Setareh Khalilian

Manutschehr Setareh

Setareh Maleknia

Samandar Setareh

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dabiri, Setareh"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.

Please choose a person to relate this publication to

Dariusch Dabiri

Setareh Khalilian

Manutschehr Setareh

Setareh Maleknia

Samandar Setareh

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
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Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.