Zobrazeno 1 - 10
of 2 573
pro vyhledávání: '"Rosenberg, Michael A"'
Autor:
Han, William Jongwon, Gomez, Diana, Alok, Avi, Duan, Chaojing, Rosenberg, Michael A., Weber, Douglas, Liu, Emerson, Zhao, Ding
Understanding the irregular electrical activity of atrial fibrillation (AFib) has been a key challenge in electrocardiography. For serious cases of AFib, catheter ablations are performed to collect intracardiac electrograms (EGMs). EGMs offer intrica
Externí odkaz:
http://arxiv.org/abs/2402.01115
Autor:
Qiu, Jielin, Zhu, Jiacheng, Liu, Shiqi, Han, William, Zhang, Jingqi, Duan, Chaojing, Rosenberg, Michael, Liu, Emerson, Weber, Douglas, Zhao, Ding
Automated interpretation of electrocardiograms (ECG) has garnered significant attention with the advancements in machine learning methodologies. Despite the growing interest, most current studies focus solely on classification or regression tasks, wh
Externí odkaz:
http://arxiv.org/abs/2304.06286
Autor:
Qiu, Jielin, Han, William, Zhu, Jiacheng, Xu, Mengdi, Rosenberg, Michael, Liu, Emerson, Weber, Douglas, Zhao, Ding
Recent advancements in Large Language Models (LLMs) have drawn increasing attention since the learned embeddings pretrained on large-scale datasets have shown powerful ability in various downstream applications. However, whether the learned knowledge
Externí odkaz:
http://arxiv.org/abs/2301.09017
Autor:
Preuss, Inbal1,2 inbalpreuss@gmail.com, Rosenberg, Michael3, Yakhini, Zohar1,2, Anavy, Leon1,2
Publikováno v:
Scientific Reports. 9/2/2024, Vol. 14 Issue 1, p1-17. 17p.
Autor:
Winner, Taniel S.1 twinner@emory.edu, Rosenberg, Michael C.1, Berman, Gordon J.2, Kesar, Trisha M.3, Ting, Lena H.1,3
Publikováno v:
Scientific Reports. 8/26/2024, Vol. 14 Issue 1, p1-19. 19p.
Autor:
Zhu, Jiacheng, Qiu, Jielin, Yang, Zhuolin, Weber, Douglas, Rosenberg, Michael A., Liu, Emerson, Li, Bo, Zhao, Ding
Publikováno v:
Machine Learning for Healthcare 2022, JMLR Volume 182
There has been an increased interest in applying deep neural networks to automatically interpret and analyze the 12-lead electrocardiogram (ECG). The current paradigms with machine learning methods are often limited by the amount of labeled data. Thi
Externí odkaz:
http://arxiv.org/abs/2208.01220
Autor:
Qiu, Jielin, Zhu, Jiacheng, Xu, Mengdi, Huang, Peide, Rosenberg, Michael, Weber, Douglas, Liu, Emerson, Zhao, Ding
In this paper, we focus on a new method of data augmentation to solve the data imbalance problem within imbalanced ECG datasets to improve the robustness and accuracy of heart disease detection. By using Optimal Transport, we augment the ECG disease
Externí odkaz:
http://arxiv.org/abs/2202.00567
Autor:
Rosenberg, Michael (AUTHOR)
Publikováno v:
Sports Illustrated. Aug/Sep2024, Vol. 135 Issue 7/8, p108-113. 6p. 11 Color Photographs.
Autor:
Rosenberg, Michael (AUTHOR)
Publikováno v:
Sports Illustrated. Jul2024, Vol. 135 Issue 6, p28-37. 10p. 8 Color Photographs.
Autor:
Grubb, Alex, Aleong, Ryan, Rosenberg, Michael A., Chang, Shu, Padalia, Kishan, Ashur, Carmel, Adewumi, Joseph, Saqi, Bilal, Varela, Daniel, Sandhu, Amneet, Cerbin, Lukasz, Barrett, Christopher, Tumolo, Alexis Z., Varosy, Paul, Zipse, Matthew M., Tzou, Wendy S., Garg, Lohit, Sabzwari, Syed Rafay A.
Publikováno v:
In Heart Rhythm September 2024 21(9):1621-1629