Sebastian Goodfellow

According to our database, Sebastian Goodfellow authored at least 11 papers between 2017 and 2024.

Collaborative distances:

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

2024

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data.

Sujay Nagaraj, Andrew J. Goodwin, Dmytro Lopushanskyy, Danny Eytan, Robert W. Greer, Sebastian D. Goodfellow, Azadeh Assadi, Anand Jayarajan, Anna Goldenberg, Mjaye L. Mazwi

CoRR, 2024

2023

Mine Pit Wall Geological Mapping Using UAV-Based RGB Imaging and Unsupervised Learning.

Peng Yang, Kamran Esmaeili, Sebastian Goodfellow, Juan Carlos Ordóñez Calderón

Remote. Sens., March, 2023

Making machine learning matter to clinicians: model actionability in medical decision-making.

Daniel Ehrmann, Shalmali Joshi, Sebastian D. Goodfellow, Mjaye Mazwi, Danny Eytan

npj Digit. Medicine, 2023

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

2021

About Explicit Variance Minimization: Training Neural Networks for Medical Imaging With Limited Data Annotations.

Dmitrii Shubin, Danny Eytan, Sebastian D. Goodfellow

CoRR, 2021

2020

Using deep networks for scientific discovery in physiological signals.

Tom Beer, Bar Eini-Porat, Sebastian Goodfellow, Danny Eytan, Uri Shalit

Proceedings of the Machine Learning for Healthcare Conference, 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

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