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

Modeling undetected poliovirus circulation following the 2022 outbreak in the United States

对2022年美国疫情爆发后未被发现的脊髓灰质炎病毒传播进行建模

Kalkowska, Dominika A; Badizadegan, Kamran; Routh, Janell A; Burns, Cara C; Rosenberg, Eli S; Brenner, I Ravi; Zucker, Jane R; Langdon-Embry, Marisa; Thompson, Kimberly M

Modeling Poliovirus Transmission and Responses in New York State

纽约州脊髓灰质炎病毒传播和应对措施建模

Thompson, Kimberly M; Kalkowska, Dominika A; Routh, Janell A; Brenner, I Ravi; Rosenberg, Eli S; Zucker, Jane R; Langdon-Embry, Marisa; Sugerman, David E; Burns, Cara C; Badizadegan, Kamran

Registration-based biomarkers for neoadjuvant treatment response of pancreatic cancer via longitudinal image registration

基于纵向图像配准的胰腺癌新辅助治疗反应生物标志物

Heiselman, Jon S; Ecker, Brett L; Langdon-Embry, Liana; O'Reilly, Eileen M; Miga, Michael I; Jarnagin, William R; Do, Richard K G; Horvat, Natally; Wei, Alice C; Chakraborty, Jayasree

Experiences of early graduate medical students working in New York hospitals during the COVID-19 pandemic: a mixed methods study

新冠疫情期间在纽约医院工作的早期医学研究生的经历:一项混合方法研究

Pravder, Harrison D; Langdon-Embry, Liana; Hernandez, Rafael J; Berbari, Nicholas; Shelov, Steven P; Kinzler, Wendy L

Correction to: Experiences of early graduate medical students working in New York hospitals during the COVID-19 pandemic: a mixed methods study

更正:COVID-19 大流行期间在纽约医院工作的早期医学研究生的经历:一项混合方法研究

Pravder, Harrison D; Langdon-Embry, Liana; Hernandez, Rafael J; Berbari, Nicholas; Shelov, Steven P; Kinzler, Wendy L

Kankanet: An artificial neural network-based object detection smartphone application and mobile microscope as a point-of-care diagnostic aid for soil-transmitted helminthiases

Kankanet:一款基于人工神经网络的智能手机物体检测应用程序和移动显微镜,可作为土壤传播蠕虫病的即时诊断辅助工具

Yang, Ariel; Bakhtari, Nahid; Langdon-Embry, Liana; Redwood, Emile; Grandjean Lapierre, Simon; Rakotomanga, Patricia; Rafalimanantsoa, Armand; De Dios Santos, Juan; Vigan-Womas, Inès; Knoblauch, Astrid M; Marcos, Luis A

Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis

利用定量CT图像分析进行导管内乳头状黏液性肿瘤的术前风险预测

Attiyeh, Marc A; Chakraborty, Jayasree; Gazit, Lior; Langdon-Embry, Liana; Gonen, Mithat; Balachandran, Vinod P; D'Angelica, Michael I; DeMatteo, Ronald P; Jarnagin, William R; Kingham, T Peter; Allen, Peter J; Do, Richard K; Simpson, Amber L

Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis

定量计算机断层扫描图像分析在胰腺导管腺癌生存预测中的应用

Attiyeh, Marc A; Chakraborty, Jayasree; Doussot, Alexandre; Langdon-Embry, Liana; Mainarich, Shiana; Gönen, Mithat; Balachandran, Vinod P; D'Angelica, Michael I; DeMatteo, Ronald P; Jarnagin, William R; Kingham, T Peter; Allen, Peter J; Simpson, Amber L; Do, Richard K

Can a gastric cancer risk survey identify high-risk patients for endoscopic screening? A pilot study

胃癌风险调查能否识别出需要进行内镜筛查的高风险患者?一项初步研究

In, Haejin; Langdon-Embry, Marisa; Gordon, Lauren; Schechter, Clyde B; Wylie-Rosett, Judith; Castle, Philip E; Margaret Kemeny, M; Rapkin, Bruce D

Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients

影像学上肿瘤异质性的初步研究预测胰腺癌患者两年生存率

Chakraborty, Jayasree; Langdon-Embry, Liana; Cunanan, Kristen M; Escalon, Joanna G; Allen, Peter J; Lowery, Maeve A; O'Reilly, Eileen M; Gönen, Mithat; Do, Richard G; Simpson, Amber L