Peter Laussen

According to our database, Peter Laussen authored at least 9 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Timing errors and temporal uncertainty in clinical databases - A narrative review.

Andrew J. Goodwin, Danny Eytan, Will Dixon, Sebastian D. Goodfellow, Zakary Doherty, Robert W. Greer, Alistair Lee McEwan, Mark B. Tracy, Peter C. Laussen, Azadeh Assadi, Mjaye Mazwi

Frontiers Digit. Health, 2022

An integration engineering framework for machine learning in healthcare.

Azadeh Assadi, Peter C. Laussen, Andrew J. Goodwin, Sebastian Goodfellow, Will Dixon, Robert W. Greer, Anusha Jegatheeswaran, Devin Singh, Melissa D. McCradden, Sara N. Gallant, Anna Goldenberg, Danny Eytan, Mjaye L. Mazwi

Frontiers Digit. Health, 2022

Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease.

Azadeh Assadi, Peter C. Laussen, Gabrielle Freire, Marzyeh Ghassemi, Patricia Trbovich

Frontiers Digit. Health, 2022

2020

Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability.

Sebastian D. Goodfellow, Dmitrii Shubin, Robert W. Greer, Sujay Nagaraj, Carson McLean, Will Dixon, Andrew J. Goodwin, Azadeh Assadi, Anusha Jegatheeswaran, Peter C. Laussen, Mjaye Mazwi, Danny Eytan

Proceedings of the Computing in Cardiology, 2020

2018

Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU.

Sana Tonekaboni, Mjaye Mazwi, Peter Laussen, Danny Eytan, Robert Greer, Sebastian D. Goodfellow, Andrew J. Goodwin, Michael Brudno, Anna Goldenberg

Proceedings of the Machine Learning for Healthcare Conference, 2018

Towards Understanding ECG Rhythm Classification Using Convolutional Neural Networks and Attention Mappings.

Sebastian D. Goodfellow, Andrew J. Goodwin, Robert Greer, Peter C. Laussen, Mjaye Mazwi, Danny Eytan

Proceedings of the Machine Learning for Healthcare Conference, 2018

2017

"Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".

Ying Ling Lin, Anne-Marie Guerguerian, Jessica N. Tomasi, Peter Laussen, Patricia Trbovich

BMC Medical Informatics Decis. Mak., 2017

Classification of Atrial Fibrillation Using Multidisciplinary Features and Gradient Boosting.

Andrew J. Goodwin, Sebastian Goodfellow, Danny Eytan, Robert Greer, Mjaye Mazwi, Peter Laussen

Proceedings of the Computing in Cardiology, 2017

2013

Novel risk-based monitoring solution to the data overload in intensive care medicine.

Michael McManus, Dimitar Baronov, Melvin Almodovar, Peter Laussen, Evan J. Butler

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013