Alan C. Kwan

According to our database, Alan C. Kwan authored at least 4 papers between 2021 and 2023.

Collaborative distances:

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

2023

GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting.

Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang

Proceedings of the Machine Learning for Health, 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

2021

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.

Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang

IEEE Trans. Medical Imaging, 2021

High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning.

Grant Duffy, Paul P. Cheng, Neal Yuan, Bryan He, Alan C. Kwan, Matthew J. Shun-Shin, Kevin M. Alexander, Joseph Ebinger, Matthew P. Lungren, Florian Rader, David H. Liang, Ingela Schnittger, Euan A. Ashley, James Y. Zou, Jignesh Patel, Ronald Witteles, Susan Cheng, David Ouyang

CoRR, 2021