Jacek Kwiecinski

According to our database, Jacek Kwiecinski authored at least 4 papers between 2019 and 2023.

Collaborative distances:

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

2023

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging.

Konrad Pieszko, Aakash D. Shanbhag, Ananya Singh, M. Timothy Hauser, Robert J. H. Miller, Joanna X. Liang, Manish Motwani, Jacek Kwiecinski, Tali Sharir, Andrew J. Einstein, Mathews Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo Di Carli, Daniel S. Berman, Damini Dey, Piotr J. Slomka

npj Digit. Medicine, 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

Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks.

Aditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash D. Shanbhag, Damini Dey, Piotr J. Slomka

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