Abdelhakim Ouaalam

According to our database, Abdelhakim Ouaalam authored at least 4 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning to segment fetal brain tissue from noisy annotations.

Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour

Medical Image Anal., April, 2023

2021

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour

IEEE Trans. Medical Imaging, 2021

2020

Learning to Detect Brain Lesions from Noisy Annotations.

Davood Karimi, Jurriaan M. Peters, Abdelhakim Ouaalam, Sanjay P. Prabhu, Mustafa Sahin, Darcy A. Krueger, Alexander Kolevzon, Charis Eng, Simon K. Warfield, Ali Gholipour

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2018

Real-time automatic fetal brain extraction in fetal MRI by deep learning.

Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018