Zaigham Saghir

According to our database, Zaigham Saghir authored at least 5 papers between 2011 and 2023.

Collaborative distances:

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

2023

Reproducibility of Training Deep Learning Models for Medical Image Analysis.

Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman

Proceedings of the Medical Imaging with Deep Learning, 2023

2021

Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks.

Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne

CoRR, 2021

2020

Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem.

Ruwan B. Tennakoon, Gerda Bortsova, Silas Nyboe Ørting, Amirali K. Gostar, Mathilde M. W. Wille, Zaigham Saghir, Reza Hoseinnezhad, Marleen de Bruijne, Alireza Bab-Hadiashar

IEEE Trans. Medical Imaging, 2020

2019

A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs.

Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2011

Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation.

Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne

Proceedings of the Information Processing in Medical Imaging, 2011