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

Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity

利用可解释的自动化CT心血管代谢生物标志物构建生物年龄模型,用于表型预测寿命

Pickhardt, Perry J; Kattan, Michael W; Lee, Matthew H; Pooler, B Dustin; Pyrros, Ayis; Liu, Daniel; Zea, Ryan; Summers, Ronald M; Garrett, John W

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning

基于深度学习的大规模多中心胰腺CT和MRI分割

Zhang, Zheyuan; Keles, Elif; Durak, Gorkem; Taktak, Yavuz; Susladkar, Onkar; Gorade, Vandan; Jha, Debesh; Ormeci, Asli C; Medetalibeyoglu, Alpay; Yao, Lanhong; Wang, Bin; Isler, Ilkin Sevgi; Peng, Linkai; Pan, Hongyi; Vendrami, Camila Lopes; Bourhani, Amir; Velichko, Yury; Gong, Boqing; Spampinato, Concetto; Pyrros, Ayis; Tiwari, Pallavi; Klatte, Derk C F; Engels, Megan; Hoogenboom, Sanne; Bolan, Candice W; Agarunov, Emil; Harfouch, Nassier; Huang, Chenchan; Bruno, Marco J; Schoots, Ivo; Keswani, Rajesh N; Miller, Frank H; Gonda, Tamas; Yazici, Cemal; Tirkes, Temel; Turkbey, Baris; Wallace, Michael B; Bagci, Ulas

Radiofrequency Ablation for Locoregional Structural Incomplete Response in Differentiated Thyroid Cancer: Initial Experience in Greece

射频消融治疗分化型甲状腺癌局部结构不完全缓解:希腊的初步经验

Simeakis, George; Kapama, Aikaterini; Paparodis, Rodis D; Gkousis, Pyrros; Koursaros, Panayiotis; Kokkinis, Christos; Zozolou, Maria; Gkeli, Myrsini

Author Correction: Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

作者更正:利用深度学习从胸部正位X光片中机会性检测2型糖尿病

Pyrros, Ayis; Borstelmann, Stephen M; Mantravadi, Ramana; Zaiman, Zachary; Thomas, Kaesha; Price, Brandon; Greenstein, Eugene; Siddiqui, Nasir; Willis, Melinda; Shulhan, Ihar; Hines-Shah, John; Horowitz, Jeanne M; Nikolaidis, Paul; Lungren, Matthew P; Rodríguez-Fernández, Jorge Mario; Gichoya, Judy Wawira; Koyejo, Sanmi; Flanders, Adam E; Khandwala, Nishith; Gupta, Amit; Garrett, John W; Cohen, Joseph Paul; Layden, Brian T; Pickhardt, Perry J; Galanter, William

Facet deflection and strain are dependent on axial compression and distraction in C5-C7 spinal segments under constrained flexion

在受限屈曲条件下,C5-C7脊柱节段的小关节偏转和应变取决于轴向压缩和牵引。

Foroutan, Parham; Quarrington, Ryan D; Russo, Michael Pyrros; Ding, Boyin; Cripton, Peter A; Costi, John J; Jones, Claire F

Deep Learning-Based Digitally Reconstructed Tomography of the Chest in the Evaluation of Solitary Pulmonary Nodules: A Feasibility Study

基于深度学习的胸部数字重建断层扫描在孤立性肺结节评估中的应用:可行性研究

Pyrros, Ayis; Chen, Andrew; Rodríguez-Fernández, Jorge Mario; Borstelmann, Stephen M; Cole, Patrick A; Horowitz, Jeanne; Chung, Jonathan; Nikolaidis, Paul; Boddipalli, Viveka; Siddiqui, Nasir; Willis, Melinda; Flanders, Adam Eugene; Koyejo, Sanmi

AI recognition of patient race in medical imaging: a modelling study

基于人工智能的医学影像患者种族识别:建模研究

Gichoya, Judy Wawira; Banerjee, Imon; Bhimireddy, Ananth Reddy; Burns, John L; Celi, Leo Anthony; Chen, Li-Ching; Correa, Ramon; Dullerud, Natalie; Ghassemi, Marzyeh; Huang, Shih-Cheng; Kuo, Po-Chih; Lungren, Matthew P; Palmer, Lyle J; Price, Brandon J; Purkayastha, Saptarshi; Pyrros, Ayis T; Oakden-Rayner, Lauren; Okechukwu, Chima; Seyyed-Kalantari, Laleh; Trivedi, Hari; Wang, Ryan; Zaiman, Zachary; Zhang, Haoran

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

验证基于深度学习和价值导向的医疗模型,以通过胸部X光片预测新冠肺炎患者的死亡率和合并症

Pyrros, Ayis; Rodriguez Fernandez, Jorge; Borstelmann, Stephen M; Flanders, Adam; Wenzke, Daniel; Hart, Eric; Horowitz, Jeanne M; Nikolaidis, Paul; Willis, Melinda; Chen, Andrew; Cole, Patrick; Siddiqui, Nasir; Muzaffar, Momin; Muzaffar, Nadir; McVean, Jennifer; Menchaca, Martha; Katsaggelos, Aggelos K; Koyejo, Sanmi; Galanter, William

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography

利用深度学习技术从胸部正面X光片中检测种族/民族健康差异

Pyrros, Ayis; Rodríguez-Fernández, Jorge Mario; Borstelmann, Stephen M; Gichoya, Judy Wawira; Horowitz, Jeanne M; Fornelli, Brian; Siddiqui, Nasir; Velichko, Yury; Koyejo Sanmi, Oluwasanmi; Galanter, William

Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios - United States, April-September 2021

基于疫苗接种率和非药物干预方案的未来新冠肺炎病例、住院和死亡人数建模——美国,2021年4月至9月

Borchering, Rebecca K; Viboud, Cécile; Howerton, Emily; Smith, Claire P; Truelove, Shaun; Runge, Michael C; Reich, Nicholas G; Contamin, Lucie; Levander, John; Salerno, Jessica; van Panhuis, Wilbert; Kinsey, Matt; Tallaksen, Kate; Obrecht, R Freddy; Asher, Laura; Costello, Cash; Kelbaugh, Michael; Wilson, Shelby; Shin, Lauren; Gallagher, Molly E; Mullany, Luke C; Rainwater-Lovett, Kaitlin; Lemaitre, Joseph C; Dent, Juan; Grantz, Kyra H; Kaminsky, Joshua; Lauer, Stephen A; Lee, Elizabeth C; Meredith, Hannah R; Perez-Saez, Javier; Keegan, Lindsay T; Karlen, Dean; Chinazzi, Matteo; Davis, Jessica T; Mu, Kunpeng; Xiong, Xinyue; Pastore Y Piontti, Ana; Vespignani, Alessandro; Srivastava, Ajitesh; Porebski, Przemyslaw; Venkatramanan, Srinivasan; Adiga, Aniruddha; Lewis, Bryan; Klahn, Brian; Outten, Joseph; Schlitt, James; Corbett, Patrick; Telionis, Pyrros Alexander; Wang, Lijing; Peddireddy, Akhil Sai; Hurt, Benjamin; Chen, Jiangzhuo; Vullikanti, Anil; Marathe, Madhav; Healy, Jessica M; Slayton, Rachel B; Biggerstaff, Matthew; Johansson, Michael A; Shea, Katriona; Lessler, Justin