Vadim V. Fedorov

According to our database, Vadim V. Fedorov authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Mechanistic insight into the functional role of human sinoatrial node conduction pathways and pacemaker compartments heterogeneity: A computer model analysis.

Jichao Zhao, Roshan Sharma, Anuradha Kalyanasundaram, James Kennelly, Jieyun Bai, Ning Li, Alexander Panfilov, Vadim V. Fedorov

PLoS Comput. Biol., December, 2023

2022

Computerized Analysis of the Human Heart to Guide Targeted Treatment of Atrial Fibrillation.

Roshan Sharma, Andy Lo, Zhaohan Xiong, Xiaoxiao Zhuang, James Kennelly, Anuradha Kulathilaka, Marta Nuñez Garcia, Vadim V. Fedorov, Martin K. Stiles, Mark L. Trew, Christopher P. Bradley, Jichao Zhao

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2020

In silico investigation of the mechanisms underlying atrial fibrillation due to impaired Pitx2.

Jieyun Bai, Andy Lo, Patrick A. Gladding, Martin K. Stiles, Vadim V. Fedorov, Jichao Zhao

PLoS Comput. Biol., 2020

2019

Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network.

Zhaohan Xiong, Vadim V. Fedorov, Xiaohang Fu, Elizabeth Cheng, Rob S. MacLeod, Jichao Zhao

IEEE Trans. Medical Imaging, 2019

A robust computational framework for estimating 3D Bi-Atrial chamber wall thickness.

Yufeng Wang, Zhaohan Xiong, Aaqel Nalar, Brian J. Hansen, Sanjay Kharche, Gunnar Seemann, Axel Loewe, Vadim V. Fedorov, Jichao Zhao

Comput. Biol. Medicine, 2019

Fully Automatic 3D Bi-Atria Segmentation from Late Gadolinium-Enhanced MRIs Using Double Convolutional Neural Networks.

Zhaohan Xiong, Aaqel Nalar, Kevin Jamart, Martin K. Stiles, Vadim V. Fedorov, Jichao Zhao

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019