Dmitrii Shubin

According to our database, Dmitrii Shubin authored at least 2 papers between 2020 and 2021.

Collaborative distances:

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

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

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