Patrick C. Brennan
Orcid: 0000-0001-8611-7258
According to our database1,
Patrick C. Brennan
authored at least 59 papers
between 2008 and 2023.
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Bibliography
2023
Global Radiomic Features from Mammography for Predicting Difficult-To-Interpret Normal Cases.
J. Digit. Imaging, August, 2023
Investigating the error-making patterns in reading high-density screening mammograms between radiologists from two countries.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
A progress in diagnostic performances of Vietnamese doctors in reading mammograms with different Level of breast density via the VIETRAD program.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Global mammographic radiomic signature can predict radiologists' difficult-to-interpret normal cases.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
False-negative diagnosis might occur due to absence of the global radiomic signature of malignancy on screening mammograms.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
A comparative study of diagnostic performance and work experience of radiologists in three countries interpreting digital breast tomosynthesis.
Proceedings of the Medical Imaging 2023: Image Perception, 2023
2022
Imaging Breast Microcalcifications Using Dark-Field Signal in Propagation-Based Phase-Contrast Tomography.
IEEE Trans. Medical Imaging, 2022
Diagnostic performances of radiology trainees in reading digital breast tomosynthesis and the synthesized view.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Varying performance levels for diagnosing mammographic images depending on reader nationality have AI and educational implications.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Proceedings of the Medical Imaging 2022: Image Perception, 2022
The reliability of radiologists' first impression interpreting a screening mammogram.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Proceedings of the Medical Imaging 2021: Image Perception, 2021
A retrospective comparative study of reading performances between radiologists from two countries in the assessment of 3D mammography.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
An end-to-end deep learning model can detect the gist of the abnormal in prior mammograms as perceived by experienced radiologists.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
Effect of time awake and hours slept at night on radiologists' interpretations of mammogram images.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
2020
Proceedings of the Medical Imaging 2020: Image Perception, 2020
Proceedings of the Medical Imaging 2020: Image Perception, 2020
2019
Can a Machine Learn from Radiologists' Visual Search Behaviour and Their Interpretation of Mammograms - a Deep-Learning Study.
J. Digit. Imaging, 2019
J. Digit. Imaging, 2019
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Estimating latent reader-performance variability using the Obuchowski-Rockette method.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?
Proceedings of the Medical Imaging 2019: Image Perception, 2019
2018
High-Resolution X-Ray Phase-Contrast 3-D Imaging of Breast Tissue Specimens as a Possible Adjunct to Histopathology.
IEEE Trans. Medical Imaging, 2018
Knowledge and practice of computed tomography exposure parameters amongst radiographers in Jordan.
Comput. Biol. Medicine, 2018
Breast lesion shape and margin evaluation: BI-RADS based metrics understate radiologists' actual levels of agreement.
Comput. Biol. Medicine, 2018
MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
Artif. Intell. Medicine, 2018
Proceedings of the Medical Imaging 2018: Image Perception, 2018
Characteristics of the group of radiologists that benefits the most using Breast Screen Reader Assessment Strategy (BREAST).
Proceedings of the Medical Imaging 2018: Image Perception, 2018
A cognitive approach to determine the benefits of pairing radiologists in mammogram reading.
Proceedings of the Medical Imaging 2018: Image Perception, 2018
Towards clinic-friendly solutions for patient trials in breast cancer phase contrast imaging.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
A framework for distinguishing benign from malignant breast histopathological images using deep residual networks.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
iCAP: An Individualized Model Combining Gaze Parameters and Image-Based Features to Predict Radiologists' Decisions While Reading Mammograms.
IEEE Trans. Medical Imaging, 2017
Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules?
J. Digit. Imaging, 2017
Determining local and contextual features describing appearance of difficult to identify mitotic figures.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
2016
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Varying performance in mammographic interpretation across two countries: Do results indicate reader or population variances?
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Investigating the link between the radiological experience and the allocation of an 'equivocal finding'.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Predicting radiologists' true and false positive decisions in reading mammograms by using gaze parameters and image-based features.
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
Breast Asymmetry, Distortion and Density Are Key Factors for False Positive Decisions.
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2015
An Investigation into the Consistency in Mammographic Density Identification by Radiologists: Effect of Radiologist Expertise and Mammographic Appearance.
J. Digit. Imaging, 2015
2014
Mammography: Radiologist and Image Characteristics That Determine the Accuracy of Breast Cancer Diagnosis.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Understanding the Role of Correct Lesion Assessment in Radiologists' Reporting of Breast Cancer.
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014
2013
Breast Screen New South Wales Generally Demonstrates Good Radiologic Viewing Conditions.
J. Digit. Imaging, 2013
J. Digit. Imaging, 2013
Optimization of Computed Tomography Protocols: Limitations of a Methodology Employing a Phantom with Location-Known Opacities.
J. Digit. Imaging, 2013
2012
An Application for the Visualization and Quantification of HIV-Associated Lipodystrophy from Magnetic Resonance Imaging Datasets.
Proceedings of the Visualization in Medicine and Life Sciences II, 2012
MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee.
Proceedings of the Visualization in Medicine and Life Sciences II, 2012
2008
Proceedings of the Visualization in Medicine and Life Sciences., 2008