Andrew P. Bradley

Queensland University of Technology — Australia

Computer Science · Physical Sciences

42h-index15.3kcitations259works4.52yr avg
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Research Topics

AI in cancer detection(48), Radiomics and Machine Learning in Medical Imaging(40), Hearing Loss and Rehabilitation(31), Medical Image Segmentation Techniques(20), Hearing, Cochlea, Tinnitus, Genetics(16)

Publications258 total

Practical guidelines for validation of supervised machine learning models in accelerometer‐based animal behaviour classification
Journal of Animal Ecology·2025· 6 citedOpen Access
Interpretability of AI race detection model in medical imaging with saliency methods
Computational and Structural Biotechnology Journal·2025· 3 citedOpen Access
Designing Interaction with AI for Human Learning: Towards Human-Machine Teaming in Radiology Training
2023· 3 citedOpen Access
Comparison of independent, participant-led, high-resolution studies of pitch-matching in post-lingual single-sided cochlear implant recipients
The Journal of the Acoustical Society of America·2023
Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures
Nature Communications·2023· 49 citedOpen Access
A Scenario-Based Functional Testing Approach to Improving DNN Performance
arXiv (Cornell University)·2023Open Access
Bias Identification with RankPix Saliency
2023· 2 cited
When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement
2023
A RARE CASE OF POLYMICROBIAL CONSTRICTIVE PERICARDITIS IN SETTING OF ESOPHAGEAL ULCER
Journal of the American College of Cardiology·2023Open Access
ACUTE CORONARY OCCLUSION DUE TO GRANULAMOTOSIS WITH POLYANGITIS IN A YOUNG ADULT
Journal of the American College of Cardiology·2023
CARDIAC TAMPONADE AS INITIAL PRESENTATION IN A PATIENT WITH PRIMARY CARDIAC LEIOMYOSARCOMA
Journal of the American College of Cardiology·2023
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods
Medical Image Analysis·2022· 22 citedOpen Access
Never mind the metrics -- what about the uncertainty? Visualising confusion matrix metric distributions
arXiv (Cornell University)·2022· 5 citedOpen Access
Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study
The Lancet Digital Health·2022· 82 citedOpen Access
Towards a monitoring approach for understanding permafrost degradation and linked subsidence in Arctic peatlands
2022· 1 citedOpen Access
Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset
arXiv (Cornell University)·2022· 1 citedOpen Access
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing
arXiv (Cornell University)·2022· 3 citedOpen Access
Worsening Perception: Real-Time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
SAE International Journal of Connected and Automated Vehicles·2022· 13 cited
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely
Lecture notes in computer science·2022· 1 cited
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles
arXiv (Cornell University)·2021· 117 citedOpen Access
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Frequent Co-authors

Gustavo Carneiro(22), Jacinto C. Nascimento(7), Neeraj Dhungel(7), Lyle J. Palmer(5), Nahla Barakat(4), Luke Oakden‐Rayner(4), João Manuel R. S. Tavares(3), Vasileios Belagiannis(3), Danail Stoyanov(3), Zhi Lu(3), William A. Gale(3), Wayne J. Wilson(3), Khoa Tran(2), Olga Kondrashova(2), Elizabeth D. Williams(2), John V. Pearson(2), Nicola Waddell(2), João Paulo Papa(2), Lena Maier‐Hein(2), Klaus Maier‐Hein(2)