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 (IPMI, 2011)

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 (MLMI@MICCAI, 2019)

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)

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)

Reproducibility of Training Deep Learning Models for Medical Image Analysis. - Joeran Bosma; Dre Peeters; Natália Alves; Anindo Saha; Zaigham Saghir; Colin Jacobs; Henkjan Huisman (MIDL, 2023)

Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection. - Dre Peeters; Kiran Vaidhya Venkadesh; Renate Dinnessen; Zaigham Saghir; Ernst Th. Scholten; Rozemarijn Vliegenthart; Mathias Prokop; Colin Jacobs (Comput. Biol. Medicine, 2025)