Zaigham Saghir

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 5

Top Topics

Volumetric Images

Computed Tomography

Segmentation Algorithm

Convolutional Neural Networks

Top Venues

IEEE Trans. Medical Imaging

Publications

Joeran Bosma, Dre Peeters, Natália Alves, Anindo Saha, Zaigham Saghir, Colin Jacobs, Henkjan Huisman
Reproducibility of Training Deep Learning Models for Medical Image Analysis. MIDL (2023)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Harm A. W. M. Tiddens, Marleen de Bruijne
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. CoRR (2021)
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
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem. IEEE Trans. Medical Imaging 39 (4) (2020)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs. CoRR (2019)
Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne
A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. MLMI@MICCAI (2019)
Jens Petersen, Mads Nielsen, Pechin Lo, Zaigham Saghir, Asger Dirksen, Marleen de Bruijne
Optimal Graph Based Segmentation Using Flow Lines with Application to Airway Wall Segmentation. IPMI (2011)