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2020 – today
- 2023
[j15]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): 1541-1552 (2023)- [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - 2022
- [j14]Anton Aminzadeh, B. D. Arhatari, Anton Maksimenko, C. J. Hall, Daniel Hausermann, A. G. Peele, Jane Fox, B. Kumar, Zdenka Prodanovic, Matthew R. Dimmock, D. Lockie, Konstantin M. Pavlov, Yakov I. Nesterets, Darren Thompson, S. C. Mayo, David M. Paganin, Seyedamir Tavakoli Taba, Sarah Lewis, Patrick C. Brennan, H. M. Quiney, Tim E. Gureyev:
Imaging Breast Microcalcifications Using Dark-Field Signal in Propagation-Based Phase-Contrast Tomography. IEEE Trans. Medical Imaging 41(11): 2980-2990 (2022) - [c36]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 - [c35]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 - [c34]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 - [c33]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 - 2021
- [c32]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 - [c31]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 - [c30]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 - [c29]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 - 2020
- [c28]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: 113160J - [c27]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: 1131608
2010 – 2019
- 2019
- [j13]Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms:
Computer-Assisted Nuclear Atypia Scoring of Breast Cancer: a Preliminary Study. J. Digit. Imaging 32(5): 702-712 (2019) - [j12]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): 746-760 (2019) - [c26]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: 109520N - [c25]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: 109520F - [c24]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: 109520Y - [c23]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: 1095203 - 2018
- [j11]Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms:
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks. Artif. Intell. Medicine 88: 14-24 (2018) - [j10]Mohammad A. Rawashdeh, Sarah 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: 294-298 (2018) - [j9]Mohammad A. Rawashdeh, Mark F. McEntee, Maha Zaitoun, Mostafa Abdelrahman, Patrick C. Brennan, Haytham Alewaidat, Sarah Lewis, Charbel Saade:
Knowledge and practice of computed tomography exposure parameters amongst radiographers in Jordan. Comput. Biol. Medicine 102: 132-137 (2018) - [j8]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 R. 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): 2642-2650 (2018) - [c22]Ziba Gandomkar, Patrick C. Brennan, Claudia Mello-Thoms:
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks. IWBI 2018: 107180U - [c21]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: 107181P - [c20]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: 1071804 - [c19]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: 1057704 - [c18]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: 1057708 - [c17]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: 1057718 - 2017
- [j7]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): 55-62 (2017) - [j6]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): 1066-1075 (2017) - [c16]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: 1014002 - 2016
- [c15]Maram Alakhras, Claudia Mello-Thoms, Roger Bourne, Mary Rickard, Patrick C. Brennan:
Equivocal Breast Findings Are Reduced with Digital Tomosynthesis. Digital Mammography / IWDM 2016: 89-97 - [c14]Norhashimah Mohd Norsuddin, Claudia Mello-Thoms, Warren M. Reed, Patrick C. Brennan, Sarah Lewis:
Lower Recall Rates Reduced Readers' Sensitivity in Screening Mammography. Digital Mammography / IWDM 2016: 116-121 - [c13]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: 307-315 - [c12]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: 335-342 - [c11]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: 97870I - [c10]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: 97870K - [c9]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: 97870X - [c8]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: 97870Z - [c7]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: 978702 - [c6]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: 978710 - [c5]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: 978715 - 2015
- [j5]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): 626-632 (2015) - 2014
- [c4]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: 174-180 - [c3]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: 341-347 - [c2]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: 438-443 - [c1]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: 731-736 - 2013
- [j4]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): 759-767 (2013) - [j3]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): 1001-1007 (2013) - [j2]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): 1099-1106 (2013) - 2012
- [j1]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): 662-669 (2012) - [p3]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:
MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee. Visualization in Medicine and Life Sciences II 2012: 45-59 - [p2]Tadhg O'Sullivan, Patrick C. Brennan, Peter P. Doran, Paddy Mallon, Stephen J. Eustace, Eoin Kavannagh, Allison Mcgee, Louise Rainford, John Ryan:
An Application for the Visualization and Quantification of HIV-Associated Lipodystrophy from Magnetic Resonance Imaging Datasets. Visualization in Medicine and Life Sciences II 2012: 61-68
2000 – 2009
- 2008
- [p1]Hamish A. Carr, John Ryan, Maria Joyce, Oliver FitzGerald, Douglas Veale, Robin Gibney, Patrick C. Brennan:
A Topological Approach to Quantitation of Rheumatoid Arthritis. Visualization in Medicine and Life Sciences 2008: 27-37
Coauthor Index
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