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Join us as we discuss current literature in cardiovascular imaging.Arghavan Arafati will present the following article: Xu et al. Segmentation and Quantification in Infarction without Contrast Agents via Spatiotemporal Generative Adversarial Learning. Medical Image Analysis 2020; 59: 101568. doi:10...

Join us as we discuss current literature in cardiovascular imaging.Rui Guo, PhD will present the following article: Xue H, Davies RH, Brown L et al. Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. Radiology: Artificial Intelligence 2020; 2(6): e200009. doi: 10.1148/ryai...

Join us as we discuss current literature in cardiovascular imaging.Xioaying Cai, PhD will present the following article: Naresh, NK et al. Cardiac MRI Myocardial Functional and Tissue Characterization Detects Early Cardiac Dysfunction in a Mouse Model of Chemotherapy-Induced Cardiotoxicity. NMR in...

Join us as we discuss current literature in cardiovascular imaging.Ibolya Csecs, MD will present the following article: Takodi M et al. Machine learning-based mortality prediction of patients undergoing cardiac resynchronization therapy: the SEMMELWEIS-CRT score. European Heart Journal 2020; 0: 1-10...

Join us as we discuss current literature in cardiovascular imaging.Arghavan Arafati, PhD will present the following article: Xu et al. Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning. Medical Image Analysis 2020; 59(101568).

Join us as we discuss current literature in cardiovascular imaging.Hassan Haji-Valizadeh, PhD will present the following article: Tian, Y et al. Whole-heart, ungated, free-breathing, cardiac-phase-resolved myocardial perfusion MRI by using Continuous Radial Interleaved simultaneous Multi-slice...