E-LIB Suche - Ergebnisse für: EPSTEIN, E.

1

Inferential Evaluation Of A Computer Vision Deep Learning A..:

Patay, B. ; Patay, T. ; Robinson, A....
Journal of Cardiovascular Computed Tomography. 18 (2024) 1 - p. S5-S6 , 2024

Link: https://doi.org/10.1016/..

2

AI Evaluation Of Stenosis On Coronary CTA: Real World Compa..:

Mansour, C. ; Pelter, M. ; Hu, E....
Journal of Cardiovascular Computed Tomography. 18 (2024) 1 - p. S7 , 2024

Link: https://doi.org/10.1016/..

3

What Is The Scan-rescan Reproducibility For Coronary CTA Co..:

Calicchio, F. ; Hu, E. ; Newlander, S....
Journal of Cardiovascular Computed Tomography. 18 (2024) 4 - p. S73 , 2024

Link: https://doi.org/10.1016/..

4

Estimating risk of endometrial malignancy and other intraca..:

Heremans, R. ; Wynants, L. ; Valentin, L....
Ultrasound in Obstetrics & Gynecology. 63 (2024) 4 - p. 556-563 , 2024

Link: https://doi.org/10.1002/..

5

How Much Does Tube Voltage Affect Plaque Volume And Composi..:

Calicchio, F. ; Hu, E. ; Newlander, S....
Journal of Cardiovascular Computed Tomography. 18 (2024) 1 - p. S24 , 2024

Link: https://doi.org/10.1016/..

6

Correlation Between An FDA-approved CCTA Plaque Analysis So..:

Calicchio, F. ; Hu, E. ; Newlander, S....
Journal of Cardiovascular Computed Tomography. 18 (2024) 1 - p. S23 , 2024

Link: https://doi.org/10.1016/..

7

AI evaluation of stenosis on coronary cta versus quantitati..:

Mansour, C ; Pelter, M ; Hu, E...
European Heart Journal - Cardiovascular Imaging. 25 (2024) Supplement_1 - p. , 2024

Link: https://doi.org/10.1093/..

8

Are artificial intelligence derived coronary atheroscleroti..:

Rodriguez Ruiz, C ; Hermel, M ; Miller, G...
European Heart Journal - Cardiovascular Imaging. 24 (2023) Supplement_1 - p. , 2023

Link: https://doi.org/10.1093/..

9

Are Artificial Intelligence Derived Coronary Atheroscleroti..:

Hermel, M. ; Rodriguez Ruiz, C. ; van Rosendael, A....
Journal of Cardiovascular Computed Tomography. 17 (2023) 4 - p. S41 , 2023

Link: https://doi.org/10.1016/..

10

EP26.08: Imaging in gynecological disease: clinical and ult..:

Chiappa, V. ; Palladino, S. ; Ciccarone, F....
Ultrasound in Obstetrics & Gynecology. 62 (2023) S1 - p. 271-271 , 2023

Link: https://doi.org/10.1002/..

11

OP09.02: Sonographic characteristics of abdominal wall endo..:

Johansson, S. Velandia ; Epstein, E.
Ultrasound in Obstetrics & Gynecology. 62 (2023) S1 - p. 69-69 , 2023

Link: https://doi.org/10.1002/..

12

Benign descriptors and ADNEX in two‐step strategy to estima..:

Landolfo, C. ; Bourne, T. ; Froyman, W....
Ultrasound in Obstetrics & Gynecology. 61 (2023) 2 - p. 231-242 , 2023

Link: https://doi.org/10.1002/..

13

OC19.01: Prediction of outcome in endometrial cancer improv..:

Green, R. W. ; Heremans, R. ; Fischerová, D....
Ultrasound in Obstetrics & Gynecology. 62 (2023) S1 - p. 43-44 , 2023

Link: https://doi.org/10.1002/..

14

Ultrasound features of endometrial pathology in women witho..:

Heremans, R. ; Van den Bosch, T. ; Valentin, L....
Ultrasound in Obstetrics & Gynecology. 60 (2022) 2 - p. 243-255 , 2022

Link: https://doi.org/10.1002/..

15

Imaging in gynecological disease (24): clinical and ultraso..:

Heremans, R. ; Valentin, L. ; Sladkevicius, P....
Ultrasound in Obstetrics & Gynecology. 60 (2022) 4 - p. 549-558 , 2022

Link: https://doi.org/10.1002/..