Author of the publication

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

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.

J. Fhima, J. Eijgen, H. Kulenovic, V. Debeuf, M. Vangilbergen, M. Billen, H. Brackenier, M. Freiman, I. Stalmans, and J. Behar. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jan van Neerven

Jan van Weeren

Jan van Üüm

Jan van Calker

Jan Van Goethem

Other publications of authors with the same name

FundusQ-Net: A regression quality assessment deep learning algorithm for fundus images quality grading.O. Abramovich, H. Pizem, J. Eijgen, I. Oren, J. Melamed, I. Stalmans, E. Blumenthal, and J. Behar. Comput. Methods Programs Biomed., (September 2023)PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation.J. Fhima, J. Eijgen, I. Stalmans, Y. Men, M. Freiman, and J. Behar. ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 296-312. Springer, (2022)FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading.O. Abramovich, H. Pizem, J. Eijgen, I. Stalmans, E. Blumenthal, and J. Behar. CoRR, (2022)Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations.J. Fhima, J. Eijgen, M. Freiman, I. Stalmans, and J. Behar. CinC, page 1-4. IEEE, (2022)LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.J. Fhima, J. Eijgen, H. Kulenovic, V. Debeuf, M. Vangilbergen, M. Billen, H. Brackenier, M. Freiman, I. Stalmans, and J. Behar. CoRR, (2023)Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging.P. Vaz, L. Brea, V. Silva, J. Eijgen, I. Stalmans, J. Cardoso, T. van Walsum, S. Klein, J. Breda, and D. Jesus. Comput. Medical Imaging Graph., (September 2023)Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review.R. Marques, D. Jesus, J. Breda, J. Eijgen, I. Stalmans, T. van Walsum, S. Klein, P. Vaz, and L. Brea. Comput. Methods Programs Biomed., (2022)Automatic Segmentation of the Optic Nerve Head Region in Optical Coherence Tomography: A Methodological Review.R. Marques, D. Jesus, J. Breda, J. Eijgen, I. Stalmans, T. van Walsum, S. Klein, P. Vaz, and L. Brea. CoRR, (2021)

BibSonomy

Disambiguation of "Eijgen, Jan Van"

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

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.

Please choose a person to relate this publication to

Jan van Neerven

Jan van Weeren

Jan van Üüm

Jan van Calker

Jan Van Goethem

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Eijgen, Jan Van"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.

Please choose a person to relate this publication to

Jan van Neerven

Jan van Weeren

Jan van Üüm

Jan van Calker

Jan Van Goethem

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

LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images.

Jan van Calker