Managing Mutual Information & Transfer Entropy In Synthetic Ecologies. - Simon Reay Atkinson; Michael Harré; Seyedamir Tavakoli Taba; Terry Bossomaier (UKAIS, 2014)

A Multidimensional Analytical Approach for Identifying and Locating Large Utility Pipes in Underground Infrastructure. - Seyedamir Tavakoli Taba; Payam Rahnamayie Zekavat; Golnaz Alipour Esgandani; Xiangyu Wang 001; Leonhard E. Bernold (Int. J. Distributed Sens. Networks, 2015)

Towards understanding longitudinal collaboration networks: a case of mammography performance research. - Seyedamir Tavakoli Taba; Liaquat Hossain; Simon Reay Atkinson; Sarah Lewis 001 (Scientometrics, 2015)

Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. - Sarah J. Lewis 001; Timur E. Gureyev; Patrycja Baran; Seyedamir Tavakoli Taba; Serena Pacilè; Christian Dullin; Giuliana Tromba; Daniel Hausermann; Andrew Peele; Darren Lockie; Patrick C. Brennan (IWBI, 2018)

Investigating the potential of a gist-sensitive computer-aided detection tool. - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Moayyad E. Suleiman; Kriscia Tapia; Tong Li; Seyedamir Tavakoli Taba; Phuong Dung Trieu; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2020)

Imaging Breast Microcalcifications Using Dark-Field Signal in Propagation-Based Phase-Contrast Tomography. - Anton Aminzadeh; Benedicta D. Arhatari; Anton Maksimenko; Christopher J. Hall; Daniel Hausermann; A. G. Peele; Jane Fox; Beena Kumar; Zdenka Prodanovic; Matthew R. Dimmock; Darren Lockie; Konstantin M. Pavlov; et al. (IEEE Trans. Medical Imaging, 2022)

A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. - Elly K. Gallagher; Phuong Dung Trieu; Ziba Gandomkar; Tong Li; Masoumeh Gity; Patrick C. Brennan; Sarah Lewis 001; Seyedamir Tavakoli Taba (Image Perception, Observer Performance, and Technology Assessment, 2023)

How do you solve a problem like concordance? a study of radiologists' clinical annotations for mammographic AI training. - Zhengqiang Jiang; Phuong Dung Trieu; Ziba Gandomkar; Seyedamir Tavakoli Taba; Melissa L. Barron; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2023)

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)