Mahmood Haithami

According to our database, Mahmood Haithami authored at least 5 papers between 2021 and 2023.

Collaborative distances:

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

2023

Enhancing Polyp Segmentation Generalizability by Minimizing Images' Total Variation.

Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Abdullah Jalab

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhancing Generalizability of Deep Learning Polyp Segmentation Using Online Spatial Interpolation and Hue Transformation.

Mahmood Haithami, Amr Ahmed, Iman Yi Liao

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023

2022

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East

CoRR, 2022

Automatic Bowel Preparation Assessment Using Deep Learning.

Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Abdullah Jalab

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

An Embedded Recurrent Neural Network-based Model for Endoscopic Semantic Segmentation.

Mahmood Haithami, Amr Ahmed, Iman Yi Liao, Hamid Abdullah Jalab

Proceedings of the 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV 2021) co-located with with the 18th IEEE International Symposium on Biomedical Imaging (ISBI 2021), 2021