406 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OttawaCA8 papers
- Ottawa HospitalCA5 papers
- University of WashingtonUS5 papers
- McMaster UniversityCA3 papers
- Alberta Machine Intelligence InstituteCA2 papers
- Charité - Universitätsmedizin BerlinDE2 papers
- Children's Hospital of Eastern OntarioCA2 papers
- Duke UniversityUS2 papers
- National Center for Theoretical SciencesTW2 papers
- National Center for Theoretical Sciences, Mathematics Division2 papers
- Toronto Western HospitalCA2 papers
- Université de MontréalCA2 papers
15 papers
Transfer Learning and Machine Learning for Training Five Year Survival Prognostic Models in Early Breast Cancer
Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless +22
Prognostic information is essential for decision-making in breast cancer management. Recently trials have predominantly focused on genomic prognostication tools, even though clinic…
Synthetic Data Generation for Augmenting Small Samples
Dan Liu, Samer El Kababji, Nicholas Mitsakakis +6
Small datasets are common in health research. However, the generalization performance of machine learning models is suboptimal when the training datasets are small. To address this…
Power calculation for cross-sectional stepped wedge cluster randomized trials with a time-to-event endpoint
Mary Ryan Baumann, Denise Esserman, Monica Taljaard +1
Stepped wedge cluster randomized trials (SW-CRTs) are a form of randomized trial whereby clusters are progressively transitioned from control to intervention, with the timing of tr…
An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels
Matheus V. da Silva, Julie Ouellette, Baptiste Lacoste +1
Characterizing blood vessels in digital images is important for the diagnosis of many types of diseases as well as for assisting current researches regarding vascular systems. The…
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
Optimal performance is critical for decision-making tasks from medicine to autonomous driving, however common performance measures may be too general or too specific. For binary cl…
Multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs
Martin G. Frasch, Bernd Walter, Christophe L. Herry +1
Ischemic brain injuries are frequent and difficult to detect reliably or early. We present the multi-modal data set containing cardiovascular (blood pressure, blood flow, electroca…
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations
Andreas Holzinger, André Carrington, Heimo Müller
Recent success in Artificial Intelligence (AI) and Machine Learning (ML) allow problem solving automatically without any human intervention. Autonomous approaches can be very conve…
Fetal cardiovascular decompensation during labor predicted from the individual heart rate: a prospective study in fetal sheep near term and the impact of low sampling rate
Nathan Gold, Christophe L. Herry, Xiaogang Wang +1
We present a novel computerized fetal heart rate intrapartum algorithm for early and individualized prediction of fetal cardiovascular decompensation, a key event in the causal cha…
Heart rate variability monitoring identifies asymptomatic toddlers exposed to Zika virus during pregnancy
Christophe L. Herry, Helena M. F. Soares, Lavinia Schuler-Faccini +1
Although Zika virus (ZIKV) seems to be prominently neurotropic, there are some reports of involvement of other organs, particularly the heart. Of special concern are those children…
Investigating Voice as a Biomarker for leucine-rich repeat kinase 2-Associated Parkinson's Disease
S. Arora, N. P. Visanji, T. A. Mestre +11
We investigate the potential association between leucine-rich repeat kinase 2 (LRRK2) mutations and voice. Sustained phonations ('aaah' sounds) were recorded from 7 individuals wit…
Non-invasive biomarkers of fetal brain development reflecting prenatal stress: an integrative multi-scale multi-species perspective on data collection and analysis
Martin G. Frasch, Silvia Lobmaier, Tamara Stampalija +11
Prenatal stress (PS) impacts early postnatal behavioural and cognitive development. This process of 'fetal programming' is mediated by the effects of the prenatal experience on the…
Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets
C Shen, MG Frasch, HT Wu +5
Objective: The utility of fetal heart rate (FHR) monitoring can only be achieved with an acquisition sampling rate that preserves the underlying physiological information on the mi…
Vision-Based Assessment of Parkinsonism and Levodopa-Induced Dyskinesia with Deep Learning Pose Estimation
Michael H. Li, Tiago A. Mestre, Susan H. Fox +1
Objective: To apply deep learning pose estimation algorithms for vision-based assessment of parkinsonism and levodopa-induced dyskinesia (LID). Methods: Nine participants with Park…
Stochastic resetting in backtrack recovery by RNA polymerases
Édgar Roldán, Ana Lisica, Daniel Sánchez-Taltavull +1
Transcription is a key process in gene expression, in which RNA polymerases produce a complementary RNA copy from a DNA template. RNA polymerization is frequently interrupted by ba…
Scaling Properties of Paths on Graphs
R. Edwards, E. Foxall, T. J. Perkins
Let be a directed graph on finitely many vertices and edges, and assign a positive weight to each edge on . Fix vertices and and consider the set of paths that start…