User profiles for A. Loh
 | Aaron LohUniversity Health Network Verified email at mail.utoronto.ca Cited by 1118 |
The state of the art in language workbenches: Conclusions from the language workbench challenge
…, A Gerritsen, A Hulshout, S Kelly, A Loh… - … Conference, SLE 2013 …, 2013 - Springer
Abstract Language workbenches are tools that provide high-level mechanisms for the
implementation of (domain-specific) languages. Language workbenches are an active area of …
implementation of (domain-specific) languages. Language workbenches are an active area of …
The global prevalence of anxiety and depressive symptoms among caregivers of stroke survivors
Objective The global prevalence of depressive and anxiety symptoms among caregivers of
stroke survivors is unknown. Given the high index of caregiver burden, this meta-analysis …
stroke survivors is unknown. Given the high index of caregiver burden, this meta-analysis …
Deep brain stimulation targets in epilepsy: systematic review and meta‐analysis of anterior and centromedian thalamic nuclei and hippocampus
Deep brain stimulation (DBS) is a neuromodulatory treatment used in patients with drug‐resistant
epilepsy (DRE). The primary goal of this systematic review and meta‐analysis is to …
epilepsy (DRE). The primary goal of this systematic review and meta‐analysis is to …
Distribution, partitioning and fluxes of dissolved and particulate organic C, N and P in the eastern North Pacific and Southern Oceans
AN Loh, JE Bauer - Deep Sea Research Part I: Oceanographic Research …, 2000 - Elsevier
Concurrent distributions of dissolved and suspended particulate organic carbon (DOC and
POC susp ), nitrogen (DON and PON susp ) and phosphorus (DOP and POP susp ), and of …
POC susp ), nitrogen (DON and PON susp ) and phosphorus (DOP and POP susp ), and of …
Variable ageing and storage of dissolved organic components in the open ocean
AN Loh, JE Bauer, ERM Druffel - Nature, 2004 - nature.com
Seawater dissolved organic matter (DOM) is the largest reservoir of exchangeable organic
carbon in the ocean, comparable in quantity to atmospheric carbon dioxide 1 , 2 . The …
carbon in the ocean, comparable in quantity to atmospheric carbon dioxide 1 , 2 . The …
Big self-supervised models advance medical image classification
…, J Freyberg, J Deaton, A Loh… - Proceedings of the …, 2021 - openaccess.thecvf.com
Self-supervised pretraining followed by supervised fine-tuning has seen success in image
recognition, especially when labeled examples are scarce, but has received limited attention …
recognition, especially when labeled examples are scarce, but has received limited attention …
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Abstract Machine-learning models for medical tasks can match or surpass the performance
of clinical experts. However, in settings differing from those of the training dataset, the …
of clinical experts. However, in settings differing from those of the training dataset, the …
[HTML][HTML] Predicting optimal deep brain stimulation parameters for Parkinson's disease using functional MRI and machine learning
Commonly used for Parkinson’s disease (PD), deep brain stimulation (DBS) produces
marked clinical benefits when optimized. However, assessing the large number of possible …
marked clinical benefits when optimized. However, assessing the large number of possible …
The 9-item Shared Decision Making Questionnaire (SDM-Q-9). Development and psychometric properties in a primary care sample
OBJECTIVE: To develop and psychometrically test a brief patient-report instrument for
measuring Shared Decision Making (SDM) in clinical encounters. METHODS: We revised an …
measuring Shared Decision Making (SDM) in clinical encounters. METHODS: We revised an …
Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness
JT Schousboe, K Kerlikowske, A Loh… - Annals of internal …, 2011 - acpjournals.org
Background: Current guidelines recommend mammography every 1 or 2 years starting at
age 40 or 50 years, regardless of individual risk for breast cancer. Objective: To estimate the …
age 40 or 50 years, regardless of individual risk for breast cancer. Objective: To estimate the …