Patrick C. Brennan

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 46

Top Topics

Mammographic Images

Top Venues

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Digital Mammography / IWDM

J. Digit. Imaging

Publications

Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases. J. Digit. Imaging 36 (4) (2023)
Ziba Gandomkar, Sarah J. Lewis, Somphone Siviengphanom, Dennis Wong, Ernest U. Ekpo, Moayyad E. Suleiman, Xuetong Tao, Warren M. Reed, Patrick C. Brennan
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Somphone Siviengphanom, Ziba Gandomkar, Sarah J. Lewis, Patrick C. Brennan
Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
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, Patrick C. Brennan, Phuong Dung Trieu
A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Elly K. Gallagher, Phuong Dung Trieu, Ziba Gandomkar, Tong Li, Masoumeh Gity, Patrick C. Brennan, Sarah Lewis, Seyedamir Tavakoli Taba
A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Xuetong Tao, Somphone Siviengphanom, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Ziba Gandomkar, Somphone Siviengphanom, Moayyad E. Suleiman, Dennis Wong, Warren M. Reed, Ernest U. Ekpo, Dong Xu, Sarah J. Lewis, Patrick C. Brennan
The reliability of radiologists' first impression interpreting a screening mammogram. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Xuetong Tao, Ziba Gandomkar, Tong Li, Warren M. Reed, Patrick C. Brennan
Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Basel A. Qenam, Tong Li, Patrick C. Brennan
Test-set training is linked to increased breast screening cancer detection rates. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Phuong Dung (Yun) Trieu, Jennifer Noakes, Natacha Borecky, Tong Li, Patrick C. Brennan, Melissa L. Barron, Sarah J. Lewis
Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2022)
Basel A. Qenam, Tong Li, Patrick C. Brennan
Test set participation may impact positively on clinical mammographic performance. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Somphone Siviengphanom, Tong Li, Patrick C. Brennan
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Abdulaziz S. Alshabibi, Moayyad E. Suleiman, Kriscia A. Tapia, Robert Heard, Patrick C. Brennan
Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Ziba Gandomkar, Tong Li, Phuong Dung Trieu, Sarah J. Lewis, Patrick C. Brennan
A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Moayyad E. Suleiman, Kriscia Tapia, Tong Li, Seyedamir Tavakoli Taba, Phuong Dung Trieu, Patrick C. Brennan
Investigating the potential of a gist-sensitive computer-aided detection tool. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Abdulaziz S. Alshabibi, Moayyad E. Suleiman, Kriscia A. Tapia, Robert Heard, Patrick C. Brennan
Effect of time of day on radiology image interpretations. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2020)
Stephen L. Hillis, Badera Al Mohammad, Patrick C. Brennan
Estimating latent reader-performance variability using the Obuchowski-Rockette method. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms
Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study. J. Digit. Imaging 32 (5) (2019)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia A. Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study. J. Digit. Imaging 32 (5) (2019)
Badera Al Mohammad, Stephen L. Hillis, Warren M. Reed, Charbel Saade, Patrick C. Brennan
Comparing senior residents performance to radiologists in lung cancer detection. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Ziba Gandomkar, Moayyad E. Suleiman, Delgermaa Demchig, Patrick C. Brennan, Mark F. McEntee
BI-RADS density categorization using deep neural networks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
A cognitive approach to determine the benefits of pairing radiologists in mammogram reading. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks. IWBI (2018)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks. Artif. Intell. Medicine 88 (2018)
A. Ganesan, Maram Alakhras, Patrick C. Brennan, Warwick B. Lee, Kriscia Tapia, Claudia Mello-Thoms
Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Ziba Gandomkar, Ernest U. Ekpo, Sarah J. Lewis, Karla K. Evans, Kriscia Tapia, Phuong Dung Trieu, Jeremy M. Wolfe, Patrick C. Brennan
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer. IWBI (2018)
Mohammad A. Rawashdeh, Sarah J. Lewis, Maha Zaitoun, Patrick C. Brennan
Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement. Comput. Biol. Medicine 96 (2018)
Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms
A deep (learning) dive into visual search behaviour of breast radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2018)
Patrycja Baran, Sheridan Mayo, Mikkaela McCormack, Serena Pacilè, Giuliana Tromba, Christian Dullin, Fabrizio Zanconati, Fulvia Arfelli, Diego Dreossi, Jane Fox, Zdenka Prodanovic, Marian Cholewa, Harry Quiney, Matthew Dimmock, Yakov Nesterets, Darren Thompson, Patrick C. Brennan, Timur Gureyev
High-Resolution X-Ray Phase-Contrast 3-D Imaging of Breast Tissue Specimens as a Possible Adjunct to Histopathology. IEEE Trans. Medical Imaging 37 (12) (2018)
Sarah J. Lewis, Timur E. Gureyev, Patrycja Baran, Seyedamir Tavakoli Taba, Serena Pacilè, Christian Dullin, Giuliana Tromba, Daniel Hausermann, Andrew Peele, Darren Lockie, Patrick C. Brennan
Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging. IWBI (2018)
Mohammad A. Rawashdeh, Mark F. McEntee, Maha Zaitoun, Mostafa Abdelrahman, Patrick C. Brennan, Haytham Alewaidat, Sarah J. Lewis, Charbel Saade
Knowledge and practice of computed tomography exposure parameters amongst radiographers in Jordan. Comput. Biol. Medicine 102 (2018)
Stephen Littlefair, Patrick C. Brennan, Warren M. Reed, Claudia Mello-Thoms
Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules? J. Digit. Imaging 30 (1) (2017)
Ziba Gandomkar, Kevin Tay, Will Ryder, Patrick C. Brennan, Claudia Mello-Thoms
iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists' Decisions While Reading Mammograms. IEEE Trans. Medical Imaging 36 (5) (2017)
Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms
Determining local and contextual features describing appearance of difficult to identify mitotic figures. Medical Imaging: Digital Pathology (2017)
Zoey Z. Y. Ang, Rob Heard, Mohammad A. Rawashdeh, Patrick C. Brennan, Warwick B. Lee, Sarah J. Lewis
Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions. Digital Mammography / IWDM (2016)
Zoey Z. Y. Ang, Mohammad A. Rawashdeh, Robert Heard, Patrick C. Brennan, Warwick B. Lee, Sarah J. Lewis
The classification of normal screening mammograms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Mohammad A. Rawashdeh, Camila Vidotti, Warwick B. Lee, Sarah J. Lewis, Claudia Mello-Thoms, Warren M. Reed, Kriscia Tapia, Patrick C. Brennan
Investigating the link between the radiological experience and the allocation of an 'equivocal finding'. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Phuong Dung (Yun) Trieu, Warwick B. Lee, Kriscia Tapia, Patrick C. Brennan
The effectiveness of the cranio-caudal mammogram projection among radiologists. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Maram Alakhras, Claudia Mello-Thoms, Roger Bourne, Mary Rickard, Patrick C. Brennan
Equivocal Breast Findings Are Reduced with Digital Tomosynthesis. Digital Mammography / IWDM (2016)
Norhashimah Mohd Norsuddin, Claudia Mello-Thoms, Warren M. Reed, Patrick C. Brennan, Sarah J. Lewis
Lower Recall Rates Reduced Readers' Sensitivity in Screening Mammography. Digital Mammography / IWDM (2016)
John W. Robinson, Patrick C. Brennan, Claudia Mello-Thoms, Sarah J. Lewis
The impact of radiology expertise upon the localization of subtle pulmonary lesions. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Ziba Gandomkar, Kevin Tay, Will Ryder, Patrick C. Brennan, Claudia Mello-Thoms
Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
BaoLin Pauline Soh, Warwick B. Lee, Jill Wong, Llewellyn Sim, Stephen L. Hillis, Kriscia A. Tapia, Patrick C. Brennan
Varying performance in mammographic interpretation across two countries: Do results indicate reader or population variances? Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Ernest U. Ekpo, Claudia Mello-Thoms, Mary Rickard, Patrick C. Brennan, Mark F. McEntee
Quantra reproduces BI-RADS assessment on a two-point scale. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Jason Tse, Roger R. Fulton, Mary Rickard, Patrick C. Brennan, Donald McLean
A Pilot Study on Radiation Dose from Combined Mammography Screening in Australia. Digital Mammography / IWDM (2016)
Yanpeng Li, Patrick C. Brennan, Warwick B. Lee, Carolyn Nickson, Mariusz W. Pietrzyk, Elaine A. Ryan
An Investigation into the Consistency in Mammographic Density Identification by Radiologists: Effect of Radiologist Expertise and Mammographic Appearance. J. Digit. Imaging 28 (5) (2015)
Claudia Mello-Thoms, Phuong Dung Trieu, Mohammed A. Rawashdeh, Kriscia Tapia, Warwick B. Lee, Patrick C. Brennan
Understanding the Role of Correct Lesion Assessment in Radiologists' Reporting of Breast Cancer. Digital Mammography / IWDM (2014)
Dana S. A. L. Mousa, Patrick C. Brennan, Elaine A. Ryan, Claudia Mello-Thoms
Mammographic Density Effect on Readers' Performance and Visual Search Pattern. Digital Mammography / IWDM (2014)
Patrick C. Brennan, Phuong Dung Trieu, Kriscia Tapia, John Ryan, Claudia Mello-Thoms, Warwick B. Lee
BREAST: A Novel Strategy to Improve the Detection of Breast Cancer. Digital Mammography / IWDM (2014)
Mohammad A. Rawashdeh, Claudia Mello-Thoms, Roger Bourne, Patrick C. Brennan
Mammography: Radiologist and Image Characteristics That Determine the Accuracy of Breast Cancer Diagnosis. Digital Mammography / IWDM (2014)
Karen L. Dobeli, Sarah J. Lewis, Steven R. Meikle, David L. Thiele, Patrick C. Brennan
Optimization of Computed Tomography Protocols: Limitations of a Methodology Employing a Phantom with Location-Known Opacities. J. Digit. Imaging 26 (6) (2013)
David L. Leong, Louise Rainford, Tamara Miner Haygood, Gary J. Whitman, William R. Geiser, Beatriz E. Adrada, Lumarie Santiago, Patrick C. Brennan
Trend of Contrast Detection Threshold with and without Localization. J. Digit. Imaging 26 (6) (2013)
BaoLin Pauline Soh, Warwick B. Lee, Jennifer Diffey, Mark F. McEntee, Peter L. Kench, Warren M. Reed, Patrick C. Brennan
Breast Screen New South Wales Generally Demonstrates Good Radiologic Viewing Conditions. J. Digit. Imaging 26 (4) (2013)
David L. Leong, Louise Rainford, Tamara Miner Haygood, Gary J. Whitman, Philip M. Tchou, William R. Geiser, Selin Carkaci, Patrick C. Brennan
Verification of DICOM GSDF in Complex Backgrounds. J. Digit. Imaging 25 (5) (2012)