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Frank M. Sanfilippo
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2020 – today
- 2023
- [j8]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun:
Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. 240: 107685 (2023) - [j7]Juan Lu, Jonathon Stewart, Mohammed Bennamoun, Adrian Goudie, Jason Eshraghian, Abdul Ihdayhid, Frank M. Sanfilippo, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi:
Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. Comput. Methods Programs Biomed. 240: 107717 (2023) - [i6]Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaïd, Mohammed Bennamoun:
Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. CoRR abs/2303.06052 (2023) - [i5]Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR abs/2309.00330 (2023) - 2022
- [j6]Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. Comput. Biol. Medicine 150: 106126 (2022) - [j5]Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi:
A reinforcement learning-based approach for imputing missing data. Neural Comput. Appl. 34(12): 9701-9716 (2022) - [i4]Juan Lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi:
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. CoRR abs/2202.01975 (2022) - [i3]Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun:
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR abs/2208.03934 (2022) - 2021
- [j4]Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo:
Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? Comput. Methods Programs Biomed. 212: 106415 (2021) - [j3]Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi:
Imputation of missing data with class imbalance using conditional generative adversarial networks. Neurocomputing 453: 164-171 (2021) - [i2]Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo:
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? CoRR abs/2112.13210 (2021) - 2020
- [j2]Nananda F. Col, Stephen Hull, Vicky Springmann, Long Ngo, Ernie Merritt, Susan Gold, Michael Sprintz, Noel Genova, Noah Nesin, Brenda Tierman, Frank M. Sanfilippo, Richard Entel, Lori Pbert:
Improving patient-provider communication about chronic pain: development and feasibility testing of a shared decision-making tool. BMC Medical Informatics Decis. Mak. 20(1): 267 (2020) - [i1]Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi:
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks. CoRR abs/2012.00220 (2020)
2010 – 2019
- 2015
- [j1]Patrick Aboagye-Sarfo, Qun Mai, Frank M. Sanfilippo, David B. Preen, Louise M. Stewart, Daniel M. Fatovich:
A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia. J. Biomed. Informatics 57: 62-73 (2015)
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