Frank M. Sanfilippo

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment. CoRR Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank M. Sanfilippo, Farid Boussaïd, Mohammed Bennamoun
2023	J	`jnl`	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. Juan Lu, Jonathon Stewart, Mohammed Bennamoun, Adrian Goudie, Jason Eshraghian, Abdul Ihdayhid, Frank M. Sanfilippo, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi
2023	J	`jnl`	Inflating 2D convolution weights for efficient generation of 3D medical images. Comput. Methods Programs Biomed. Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
2023	J	`jnl`	Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi
2022	J	`jnl`	A reinforcement learning-based approach for imputing missing data. Neural Comput. Appl. Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
2022	J	`jnl`	Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. CoRR Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun
2022	J	`jnl`	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 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
2022	J	`jnl`	Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation. CoRR 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
2021	J	`jnl`	Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? CoRR Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
2021	J	`jnl`	Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? Comput. Methods Programs Biomed. Isaac Ronald Ward, Ling Wang, Juan Lu, Mohammed Bennamoun, Girish Dwivedi, Frank M. Sanfilippo
2021	J	`jnl`	Imputation of missing data with class imbalance using conditional generative adversarial networks. Neurocomputing Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
2020	J	`jnl`	Improving patient-provider communication about chronic pain: development and feasibility testing of a shared decision-making tool. BMC Medical Informatics Decis. Mak. 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
2020	J	`jnl`	Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks. CoRR Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M. Sanfilippo, Girish Dwivedi
2015	J	`jnl`	A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia. J. Biomed. Informatics Patrick Aboagye-Sarfo, Qun Mai, Frank M. Sanfilippo, David B. Preen, Louise M. Stewart, Daniel M. Fatovich