日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Risk stratification with pre-operative myocardial perfusion imaging

术前心肌灌注显像的风险分层

Kim, Dayoung; Builoff, Valerie; Sharir, Tali; Hauser, M Timothy; Dorbala, Sharmila; Di Carli, Marcelo F; Fish, Mathews B; Ruddy, Terrence D; Bateman, Timothy M; Einstein, Andrew J; Kaufmann, Philipp A; Miller, Edward J; Sinusas, Albert J; Acampa, Wanda; Halcox, Julian; Dey, Damini; Berman, Daniel S; Miller, Robert J H; Slomka, Piotr J

General Purpose Deep Learning Attenuation Correction Improves Diagnostic Accuracy of SPECT MPI: A Multicenter Study

通用深度学习衰减校正可提高SPECT MPI的诊断准确性:一项多中心研究

Shanbhag, Aakash D; Miller, Robert J H; Lemley, Mark; Kavanagh, Paul; Liang, Joanna X; Marcinkiewicz, Anna M; Builoff, Valerie; Van Kriekinge, Serge; Ruddy, Terrence D; Fish, Mathews B; Einstein, Andrew J; Martins, Monica; Halcox, Julian P; Kaufmann, Philipp A; Buckley, Christopher; Bateman, Timothy M; Berman, Daniel S; Dey, Damini; Slomka, Piotr J

Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging

对接受心肌灌注显像的外周动脉疾病患者重新评估心血管风险

Wang, Kaiming; Sharir, Tali; Hauser, M Timothy; Dorbala, Sharmila; Di Carli, Marcelo; Fish, Mathews B; Ruddy, Terrence D; Bateman, Timothy; Einstein, Andrew J; Kaufmann, Philipp A; Miller, Edward J; Sinusas, Albert J; Acampa, Wanda; Halcox, Julian; Martins, Monica; Liang, Joanna X; Builoff, Valerie; Dey, Damini; Berman, Daniel S; Miller, Robert J H; Slomka, Piotr J

Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging

人工智能增强的灌注评分提高了心肌灌注显像的诊断准确性

Miller, Robert J H; Kavanagh, Paul; Lemley, Mark; Liang, Joanna X; Sharir, Tali; Einstein, Andrew J; Fish, Mathews B; Ruddy, Terrence D; Kaufmann, Philipp A; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Dorbala, Sharmila; Di Carli, Marcelo; Hayes, Sean; Friedman, John; Berman, Daniel S; Dey, Damini; Slomka, Piotr J

AI-based identification of patients who benefit from revascularization: a multicenter study

基于人工智能识别可从血管重建术中获益的患者:一项多中心研究

Zhang, Wenhao; Miller, Robert Jh; Patel, Krishna; Shanbhag, Aakash D; Liang, Joanna X; Lemley, Mark; Ramirez, Giselle; Builoff, Valerie; Yi, Jirong; Zhou, Jianhang; Kavanagh, Paul; Acampa, Wanda; Bateman, Timothy M; Di Carli, Marcelo; Dorbala, Sharmila; Einstein, Andrew J; Fish, Mathews B; Hauser, M Timothy; Ruddy, Terrence D; Kaufmann, Philipp A; Miller, Edward J; Sharir, Tali; Martins, Monica; Halcox, Julian; Chareonthaitawee, Panithaya; Dey, Damini; Berman, Daniel S; Slomka, Piotr J

Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study

利用无监督学习方法分析正常心脏灌注患者的临床表型:一项回顾性观察研究

Miller, Robert J H; Bednarski, Bryan P; Pieszko, Konrad; Kwiecinski, Jacek; Williams, Michelle C; Shanbhag, Aakash; Liang, Joanna X; Huang, Cathleen; Sharir, Tali; Hauser, M Timothy; Dorbala, Sharmila; Di Carli, Marcelo F; Fish, Mathews B; Ruddy, Terrence D; Bateman, Timothy M; Einstein, Andrew J; Kaufmann, Philipp A; Miller, Edward J; Sinusas, Albert J; Acampa, Wanda; Han, Donghee; Dey, Damini; Berman, Daniel S; Slomka, Piotr J

The Updated Registry of Fast Myocardial Perfusion Imaging with Next-Generation SPECT (REFINE SPECT 2.0)

采用下一代 SPECT 进行快速心肌灌注成像的最新注册研究(REFINE SPECT 2.0)

Miller, Robert J H; Lemley, Mark; Shanbhag, Aakash; Ramirez, Giselle; Liang, Joanna X; Builoff, Valerie; Kavanagh, Paul; Sharir, Tali; Hauser, M Timothy; Ruddy, Terrence D; Fish, Mathews B; Bateman, Timothy M; Acampa, Wanda; Einstein, Andrew J; Dorbala, Sharmila; Di Carli, Marcelo F; Feher, Attila; Miller, Edward J; Sinusas, Albert J; Halcox, Julian; Martins, Monica; Kaufmann, Philipp A; Dey, Damini; Berman, Daniel S; Slomka, Piotr J

Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning

利用可解释深度学习从心肌灌注成像中直接进行风险评估

Singh, Ananya; Miller, Robert J H; Otaki, Yuka; Kavanagh, Paul; Hauser, Michael T; Tzolos, Evangelos; Kwiecinski, Jacek; Van Kriekinge, Serge; Wei, Chih-Chun; Sharir, Tali; Einstein, Andrew J; Fish, Mathews B; Ruddy, Terrence D; Kaufmann, Philipp A; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Dorbala, Sharmila; Di Carli, Marcelo; Liang, Joanna X; Huang, Cathleen; Han, Donghee; Dey, Damini; Berman, Daniel S; Slomka, Piotr J

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

针对时间和事件的深度学习用于心脏灌注成像后的个性化风险评估

Konrad Pieszko, Aakash D Shanbhag, Ananya Singh, M Timothy Hauser, Robert J H Miller, Joanna X Liang, Manish Motwani, Jacek Kwieciński, Tali Sharir, Andrew J Einstein, Mathews B Fish, Terrence D Ruddy, Philipp A Kaufmann, Albert J Sinusas, Edward J Miller, Timothy M Bateman, Sharmila Dorbala, Marcel

Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

利用无监督学习对接受心肌灌注显像的已知冠状动脉疾病患者进行特征分析

Williams, Michelle C; Bednarski, Bryan P; Pieszko, Konrad; Miller, Robert J H; Kwiecinski, Jacek; Shanbhag, Aakash; Liang, Joanna X; Huang, Cathleen; Sharir, Tali; Dorbala, Sharmila; Di Carli, Marcelo F; Einstein, Andrew J; Sinusas, Albert J; Miller, Edward J; Bateman, Timothy M; Fish, Mathews B; Ruddy, Terrence D; Acampa, Wanda; Hauser, M Timothy; Kaufmann, Philipp A; Dey, Damini; Berman, Daniel S; Slomka, Piotr J