Rosana El Jurdi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Medical Image Segmentation

Weakly Supervised

Prior Knowledge

Image Segmentation

Top Venues

IEEE J. Sel. Top. Signal Process.

Multim. Tools Appl.

Publications

Rosana El Jurdi, Ahmed Rida Sekkat, Yohan Dupuis, Pascal Vasseur, Paul Honeine
Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions. Multim. Tools Appl. 83 (13) (2024)
Guanghui Fu, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Stéphane Lehéricy, Olivier Colliot
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss. Medical Imaging: Image Processing (2023)
Rosana El Jurdi, Gaël Varoquaux, Olivier Colliot
Confidence intervals for performance estimates in 3D medical image segmentation. CoRR (2023)
Rosana El Jurdi, Olivier Colliot
How Precise are Performance Estimates for Typical Medical Image Segmentation Tasks? ISBI (2023)
Guanghui Fu, Gabriel Jimenez, Sophie Loizillon, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Ninon Burgos, Stéphane Lehéricy, Daniel Racoceanu, Olivier Colliot
Fourier Disentangled Multimodal Prior Knowledge Fusion for Red Nucleus Segmentation in Brain MRI. CoRR (2022)
Rosana El Jurdi, Olivier Colliot
How precise are performance estimates for typical medical image segmentation tasks? CoRR (2022)
Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR (2022)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. 210 (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR (2020)
Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA (2020)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah
BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)