Haithem Boussaid

According to our database1, Haithem Boussaid authored at least 11 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Do VSR Models Generalize Beyond LRS3?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Tubular structures segmentation of pediatric abdominal-visceral ceCT images with renal tumors: Assessment, comparison and improvement.
Medical Image Anal., December, 2023

Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Automatic Size And Pose Homogenization With Spatial Transformer Network To Improve And Accelerate Pediatric Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Shape Feature Loss for Kidney Segmentation in 3D Ultrasound Images.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2014
Discriminative learning of deformable contour models.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2011
Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

3D Model-based Reconstruction of the Proximal Femur from Low-dose Biplanar X-Ray Images.
Proceedings of the British Machine Vision Conference, 2011


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