A Topological Approach to Quantitation of Rheumatoid Arthritis. - Hamish A. Carr; John Ryan; Maria Joyce; Oliver FitzGerald; Douglas Veale; Robin Gibney; Patrick C. Brennan (Visualization in Medicine and Life Sciences, 2008)

MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee. - Ben Donlon; Douglas Veale; Patrick C. Brennan; Robert Gibney; Hamish A. Carr; Louise Rainford; ChinTeck Ng; Eliza Pontifex; Jonathan P. McNulty; Oliver FitzGerald; John Ryan (Visualization in Medicine and Life Sciences II, 2012)

An Application for the Visualization and Quantification of HIV-Associated Lipodystrophy from Magnetic Resonance Imaging Datasets. - Tadhg O'Sullivan; Patrick C. Brennan; Peter P. Doran; Paddy Mallon; Stephen J. Eustace; Eoin Kavannagh; Allison Mcgee; Louise Rainford; John Ryan (Visualization in Medicine and Life Sciences II, 2012)

Verification of DICOM GSDF in Complex Backgrounds. - David L. Leong; Louise Rainford; Tamara Miner Haygood; Gary J. Whitman; Philip M. Tchou; William R. Geiser; Selin Carkaci; Patrick C. Brennan (J. Digit. Imaging, 2012)

Optimization of Computed Tomography Protocols: Limitations of a Methodology Employing a Phantom with Location-Known Opacities. - Karen L. Dobeli; Sarah J. Lewis 001; Steven R. Meikle; David L. Thiele; Patrick C. Brennan (J. Digit. Imaging, 2013)

Trend of Contrast Detection Threshold with and without Localization. - David L. Leong; Louise Rainford; Tamara Miner Haygood; Gary J. Whitman; William R. Geiser; Beatriz E. Adrada; Lumarie Santiago; Patrick C. Brennan (J. Digit. Imaging, 2013)

Breast Screen New South Wales Generally Demonstrates Good Radiologic Viewing Conditions. - BaoLin Pauline Soh; Warwick B. Lee; Jennifer Diffey; Mark F. McEntee; Peter L. Kench; Warren M. Reed; Patrick C. Brennan (J. Digit. Imaging, 2013)

BREAST: A Novel Strategy to Improve the Detection of Breast Cancer. - Patrick C. Brennan; Phuong Dung Trieu; Kriscia Tapia; John Ryan; Claudia Mello-Thoms; Warwick B. Lee (Digital Mammography / IWDM, 2014)

Understanding the Role of Correct Lesion Assessment in Radiologists' Reporting of Breast Cancer. - Claudia Mello-Thoms; Phuong Dung Trieu; Mohammed A. Rawashdeh; Kriscia Tapia; Warwick B. Lee; Patrick C. Brennan (Digital Mammography / IWDM, 2014)

Mammographic Density Effect on Readers' Performance and Visual Search Pattern. - Dana S. A. L. Mousa; Patrick C. Brennan; Elaine A. Ryan; Claudia Mello-Thoms (Digital Mammography / IWDM, 2014)

Mammography: Radiologist and Image Characteristics That Determine the Accuracy of Breast Cancer Diagnosis. - Mohammad A. Rawashdeh; Claudia Mello-Thoms; Roger Bourne; Patrick C. Brennan (Digital Mammography / IWDM, 2014)

An Investigation into the Consistency in Mammographic Density Identification by Radiologists: Effect of Radiologist Expertise and Mammographic Appearance. - Yanpeng Li; Patrick C. Brennan; Warwick B. Lee; Carolyn Nickson; Mariusz W. Pietrzyk; Elaine A. Ryan (J. Digit. Imaging, 2015)

Equivocal Breast Findings Are Reduced with Digital Tomosynthesis. - Maram Alakhras; Claudia Mello-Thoms; Roger Bourne; Mary Rickard; Patrick C. Brennan (Digital Mammography / IWDM, 2016)

Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions. - Zoey Z. Y. Ang; Rob Heard; Mohammad A. Rawashdeh; Patrick C. Brennan; Warwick B. Lee; Sarah J. Lewis 001 (Digital Mammography / IWDM, 2016)

Lower Recall Rates Reduced Readers' Sensitivity in Screening Mammography. - Norhashimah Mohd Norsuddin; Claudia Mello-Thoms; Warren M. Reed; Patrick C. Brennan; Sarah Lewis 001 (Digital Mammography / IWDM, 2016)

A Pilot Study on Radiation Dose from Combined Mammography Screening in Australia. - Jason Tse; Roger R. Fulton; Mary Rickard; Patrick C. Brennan; Donald McLean (Digital Mammography / IWDM, 2016)

The classification of normal screening mammograms. - Zoey Z. Y. Ang; Mohammad A. Rawashdeh; Robert Heard; Patrick C. Brennan; Warwick B. Lee; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2016)

Quantra reproduces BI-RADS assessment on a two-point scale. - Ernest U. Ekpo; Claudia Mello-Thoms; Mary Rickard; Patrick C. Brennan; Mark F. McEntee (Image Perception, Observer Performance, and Technology Assessment, 2016)

Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features. - Ziba Gandomkar; Kevin Tay; Will Ryder; Patrick C. Brennan; Claudia Mello-Thoms (Image Perception, Observer Performance, and Technology Assessment, 2016)

Investigating the link between the radiological experience and the allocation of an 'equivocal finding'. - Mohammad A. Rawashdeh; Camila Vidotti; Warwick B. Lee; Sarah J. Lewis 001; Claudia Mello-Thoms; Warren M. Reed; Kriscia Tapia; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2016)

The impact of radiology expertise upon the localization of subtle pulmonary lesions. - John W. Robinson; Patrick C. Brennan; Claudia Mello-Thoms; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2016)

Varying performance in mammographic interpretation across two countries: Do results indicate reader or population variances? - BaoLin Pauline Soh; Warwick B. Lee; Jill Wong; Llewellyn Sim; Stephen L. Hillis; Kriscia A. Tapia; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2016)

The effectiveness of the cranio-caudal mammogram projection among radiologists. - Phuong Dung (Yun) Trieu; Warwick B. Lee; Kriscia Tapia; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2016)

Determining local and contextual features describing appearance of difficult to identify mitotic figures. - Ziba Gandomkar; Patrick C. Brennan; Claudia Mello-Thoms (Digital Pathology, 2017)

Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules? - Stephen Littlefair; Patrick C. Brennan; Warren M. Reed; Claudia Mello-Thoms (J. Digit. Imaging, 2017)

iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists' Decisions While Reading Mammograms. - Ziba Gandomkar; Kevin Tay; Will Ryder; Patrick C. Brennan; Claudia Mello-Thoms (IEEE Trans. Medical Imaging, 2017)

A framework for distinguishing benign from malignant breast histopathological images using deep residual networks. - Ziba Gandomkar; Patrick C. Brennan; Claudia Mello-Thoms (IWBI, 2018)

Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Karla K. Evans; Kriscia Tapia; Phuong Dung Trieu; Jeremy M. Wolfe; Patrick C. Brennan (IWBI, 2018)

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)

A cognitive approach to determine the benefits of pairing radiologists in mammogram reading. - Ziba Gandomkar; Patrick C. Brennan; Claudia Mello-Thoms (Image Perception, Observer Performance, and Technology Assessment, 2018)

Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST). - A. Ganesan; Maram Alakhras; Patrick C. Brennan; Warwick B. Lee; Kriscia Tapia; Claudia Mello-Thoms (Image Perception, Observer Performance, and Technology Assessment, 2018)

A deep (learning) dive into visual search behaviour of breast radiologists. - Suneeta Mall; Patrick C. Brennan; Claudia Mello-Thoms (Image Perception, Observer Performance, and Technology Assessment, 2018)

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks. - Ziba Gandomkar; Patrick C. Brennan; Claudia Mello-Thoms (Artif. Intell. Medicine, 2018)

Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement. - Mohammad A. Rawashdeh; Sarah Lewis 001; Maha Zaitoun; Patrick C. Brennan (Comput. Biol. Medicine, 2018)

Knowledge and practice of computed tomography exposure parameters amongst radiographers in Jordan. - Mohammad A. Rawashdeh; Mark F. McEntee; Maha Zaitoun; Mostafa Abdelrahman; Patrick C. Brennan; Haytham Alewaidat; Sarah Lewis 001; Charbel Saade (Comput. Biol. Medicine, 2018)

High-Resolution X-Ray Phase-Contrast 3-D Imaging of Breast Tissue Specimens as a Possible Adjunct to Histopathology. - Patrycja Baran; Sheridan Mayo; Mikkaela McCormack; Serena Pacilè; Giuliana Tromba; Christian Dullin; Fabrizio Zanconati; Fulvia Arfelli; Diego Dreossi; Jane Fox; Zdenka Prodanovic; Marian Cholewa; et al. (IEEE Trans. Medical Imaging, 2018)

Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Karla K. Evans; Kriscia A. Tapia; Phuong Dung Trieu; Jeremy M. Wolfe; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2019)

BI-RADS density categorization using deep neural networks. - Ziba Gandomkar; Moayyad E. Suleiman; Delgermaa Demchig; Patrick C. Brennan; Mark F. McEntee (Image Perception, Observer Performance, and Technology Assessment, 2019)

Estimating latent reader-performance variability using the Obuchowski-Rockette method. - Stephen L. Hillis; Badera Al Mohammad; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2019)

Comparing senior residents performance to radiologists in lung cancer detection. - Badera Al Mohammad; Stephen L. Hillis; Warren M. Reed; Charbel Saade; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2019)

Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study. - Ziba Gandomkar; Patrick C. Brennan; Claudia Mello-Thoms (J. Digit. Imaging, 2019)

Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study. - Suneeta Mall; Patrick C. Brennan; Claudia Mello-Thoms (J. Digit. Imaging, 2019)

Effect of time of day on radiology image interpretations. - Abdulaziz S. Alshabibi; Moayyad E. Suleiman; Kriscia A. Tapia; Robert Heard; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2020)

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)

Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images. - Abdulaziz S. Alshabibi; Moayyad E. Suleiman; Kriscia A. Tapia; Robert Heard; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. - Ziba Gandomkar; Ernest U. Ekpo; Sarah J. Lewis 001; Moayyad E. Suleiman; Somphone Siviengphanom; Tong Li; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. - Ziba Gandomkar; Tong Li; Phuong Dung Trieu; Sarah J. Lewis 001; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

Test set participation may impact positively on clinical mammographic performance. - Basel A. Qenam; Tong Li; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2021)

The reliability of radiologists' first impression interpreting a screening mammogram. - Ziba Gandomkar; Somphone Siviengphanom; Moayyad E. Suleiman; Dennis Wong; Warren M. Reed; Ernest U. Ekpo; Dong Xu; Sarah J. Lewis 001; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2022)

Test-set training is linked to increased breast screening cancer detection rates. - Basel A. Qenam; Tong Li; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2022)

Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications. - Xuetong Tao; Ziba Gandomkar; Tong Li; Warren M. Reed; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2022)

Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. - Phuong Dung (Yun) Trieu; Jennifer Noakes; Natacha Borecky; Tong Li; Patrick C. Brennan; Melissa L. Barron; Sarah J. Lewis 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

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)

False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. - Ziba Gandomkar; Sarah J. Lewis 001; Somphone Siviengphanom; Dennis Wong; Ernest U. Ekpo; Moayyad E. Suleiman; Xuetong Tao; Warren M. Reed; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2023)

Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. - Somphone Siviengphanom; Ziba Gandomkar; Sarah J. Lewis 001; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2023)

A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program. - Iman Bint Talha; Oanh T. M. Tran; Due T. Ong; Thuy T. Hoang; Tuan A. Khuong; Dennis Wong; Karen Ho; Natacha Borecky; Mary Rickard; Sarah Lewis 001; Patrick C. Brennan; Phuong Dung Trieu (Image Perception, Observer Performance, and Technology Assessment, 2023)

Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries. - Xuetong Tao; Somphone Siviengphanom; Ziba Gandomkar; Tong Li; Warren M. Reed; Patrick C. Brennan (Image Perception, Observer Performance, and Technology Assessment, 2023)

Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. - Somphone Siviengphanom; Ziba Gandomkar; Sarah J. Lewis 001; Patrick C. Brennan (J. Digit. Imaging, 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)