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Email

ashkan.pakzad@unimelb.edu.au

Credentials


Position
Research Fellow, Impact Program
School of Physics
Education
PhD
University College London
Masters (Research)
University College London
Bachelors Degree (Honours)
University College London
ORCID

0000-0002-0802-5590

Dr Ashkan Pakzad

Research Fellow, Impact Program
School of Physics

21 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    Deep denoising in phase contrast breast computed tomography
    DOI: 10.1117/12.3085530
  • 2026

    Journal article

    Amplifying image quality gain in x-ray phase contrast imaging of mastectomy samples with deep learning denoising
    DOI: 10.1088/1361-6560/ae3c54
  • 2026

    Journal article

    On optimisation of Paganin's method for propagation-based X-ray phase-contrast imaging and tomography
    DOI: 10.1111/jmi.70083
  • 2024

    Journal article

    Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
    DOI: 10.1186/s40537-024-00974-x
  • 2024

    Conference Proceedings

    Automated computed tomography measures predict functional decline in cystic fibrosis
    DOI: 10.1183/13993003.congress-2024.oa5470
  • 2024

    Journal article

    FAT1 weighted MRI: Diffusion meets anatomical imaging and application in thalamic surgery for tremor
    DOI: 10.1162/imag_a_00139
  • 2024

    Journal article

    Small Airway Disease in Pre-Chronic Obstructive Pulmonary Disease with Emphysema
    DOI: 10.1164/rccm.202301-0132OC
Ashkan Pakzad

RECENT SCHOLARLY WORKS

  • 2024

    Journal article

    Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
    DOI: 10.1080/21681163.2024.2325361
  • 2023

    Journal article

    Association of Clinical and Neuroanatomic Factors with Response to Ventral Tegmental Area DBS in Chronic Cluster Headache
    DOI: 10.1212/WNL.0000000000207750
  • 2023

    Other

    Multi-site, Multi-domain Airway Tree Modeling
    DOI: 10.1016/j.media.2023.102957

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