Markus Goeller

According to our database, Markus Goeller authored at least 3 papers between 2018 and 2023.

Collaborative distances:

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

2023

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography.

Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby, Michelle C. Williams, Piotr J. Slomka, Damini Dey

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2019

Deep learning-based stenosis quantification from coronary CT angiography.

Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

Frederic Commandeur, Markus Goeller, Julián Betancur, Sebastien Cadet, Mhairi Doris, Xi Chen, Daniel S. Berman, Piotr J. Slomka, Balaji Tamarappoo, Damini Dey

IEEE Trans. Medical Imaging, 2018