OpenScholar

Search results

135 results found

Physiology as a Lingua Franca for Clinical Machine Learning

Publication: Journal Article

Sarma, Gopal, Erik Reinertsen, and ML4CVD Group. 2020. “Physiology As a Lingua Franca for Clinical Machine Learning”. Patterns 1 (2): 100017.

Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular Mass

Publication: Miscellaneous

Khurshid, Shaan, Julieta Lazarte, James P. Pirruccello, Lu-Chen Weng, Seung Hoan Choi, Amelia W. Hall, Xin Wang, et al. 2022. “Clinical and Genetic Associations of Deep Learning-Derived Cardiac Magnetic Resonance-Based Left Ventricular Mass.”

Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk

Publication: Miscellaneous

Pirruccello, James P., Paolo Di Achille, Seung Hoan Choi, Shaan Khurshid, Mahan Nekoui, Sean J. Jurgens, Victor Nauffal, et al. 2021. “Deep Learning of Left Atrial Structure and Function Provides Link to Atrial Fibrillation Risk.”

Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs

Publication: Journal Article

Khurshid, Shaan, Samuel Friedman, James P. Pirruccello, Paolo Di Achille, Nathaniel Diamant, Christopher D. Anderson, Patrick T. Ellinor, et al. 2021. “Deep Learning to Predict Cardiac Magnetic Resonance–Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs”. Circulation: Cardiovascular Imaging 14 (6).

Abstract 11436: Trends in Consumer Wearable Devices in a Primary Care Cohort

Publication: Journal Article

Al-alusi, Mostafa A, Shaan Khurshid, Xin Wang, Christopher Reeder, Pulkit Singh, Rachael Venn, Daniel Pipilas, et al. 2021. “Abstract 11436: Trends in Consumer Wearable Devices in a Primary Care Cohort”. Circulation 144 (Suppl\_1): A11436—A11436.

Abstract 12922: Electrocardiogram-Based Deep Learning and Clinical Risk Factors to Predict Incident Atrial Fibrillation

Publication: Journal Article

Khurshid, Shaan, Samuel Friedman, Christopher Reeder, Paolo Di Achille, Nathaniel Diamant, Pulkit Singh, Lia Harrington, et al. 2021. “Abstract 12922: Electrocardiogram-Based Deep Learning and Clinical Risk Factors to Predict Incident Atrial Fibrillation”. Circulation 144 (Suppl\_1): A12922—A12922.

Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy

Publication: Journal Article

Pirruccello, James P., Alexander Bick, Minxian Wang, Mark Chaffin, Samuel Friedman, Jie Yao, Xiuqing Guo, et al. 2020. “Analysis of Cardiac Magnetic Resonance Imaging in 36,000 Individuals Yields Genetic Insights into Dilated Cardiomyopathy”. Nature Communications 11 (1): 2254.

Resources

Page

Paolo Di Achille

Person: Machine Learning Engineer

Paolo is a machine learning engineer working on cardiovascular disease prediction and genetic discovery via deep learning. Paolo holds a PhD (from Yale University) and a MS (from University of Pisa, Italy), both in Biomedical Engineering. His areas of expertise include computer vision...

Pulkit Singh

Person: Machine Learning Engineer