Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Ashkan Pakzad; Wing Keung Cheung; Kin Quan; Nesrin Mogulkoc; Coline H. M. Van Moorsel; Brian J. Bartholmai; Hendrik W. Van Es; Alper Ezircan; Frouke Van Beek; Marcel Veltkamp; Ronald A. Karwoski; Tobias Peikert; et al. (CoRR, 2021)

Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. - Ashkan Pakzad; Mou-Cheng Xu; Wing Keung Cheung; Marie Vermant; Tinne Goos; Laurens J. De Sadeleer; Stijn E. Verleden; Wim A. Wuyts; John R. Hurst; Joseph Jacob (DGM4MICCAI@MICCAI, 2022)

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (CoRR, 2023)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. - Gongning Luo; Kuanquan Wang; Jun Liu 080; Shuo Li 001; Xinjie Liang; Xiangyu Li 004; Shaowei Gan; Wei Wang 169; Suyu Dong; Wenyi Wang; Pengxin Yu; Enyou Liu; et al. (CoRR, 2023)

A data-centric deep learning approach to airway segmentation. - Wing Keung Cheung; Ashkan Pakzad; Nesrin Mogulkoc; Sarah Needleman; Bojidar Rangelov; Eyjolfur Gudmundsson; An Zhao; Mariam Abbas; Davina McLaverty; Dimitrios Asimakopoulos; Robert Chapman; Recep Savas; et al. (CoRR, 2023)

Multi-site, Multi-domain Airway Tree Modeling. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (Medical Image Anal., 2023)

Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. - Ashkan Pakzad; Wing Keung Cheung; Coline H. M. Van Moorsel; Kin Quan; Nesrin Mogulkoc; Brian J. Bartholmai; H. W. Van Es; Alper Ezircan; Frouke Van Beek; Marcel Veltkamp; Ronald A. Karwoski; T. Peikert; et al. (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2024)

Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. - Wing Keung Cheung; Ashkan Pakzad; Nesrin Mogulkoc; Sarah Needleman; Bojidar Rangelov; Eyjolfur Gudmundsson; An Zhao; Mariam Abbas; Davina McLaverty; Dimitrios Asimakopoulos; Robert Chapman; Recep Savas; et al. (J. Big Data, 2024)

Towards order of magnitude X-ray dose reduction in breast cancer imaging using phase contrast and deep denoising. - Ashkan Pakzad; Robert Turnbull; Simon J. Mutch; Thomas A. Leatham; Darren Lockie; Jane Fox; Beena Kumar; Daniel Hausermann; Christopher J. Hall; Anton Maksimenko; Benedicta D. Arhatari; Yakov I. Nesterets; et al. (CoRR, 2025)