E-LIB Suche - Ergebnisse für: Onishi, Natsuko

1

Diffusion-Weighted MRI for Predicting Pathologic Complete R..:

Li, Wen ; Le, Nu N. ; Onishi, Natsuko...
Cancers. 14 (2022) 18 - p. 4436 , 2022

Link: https://doi.org/10.3390/..

2

Effect of Inter-Reader Variability on Diffusion-Weighted MR..:

Le, Nu N. ; Li, Wen ; Onishi, Natsuko...
Tomography. 8 (2022) 3 - p. 1208-1220 , 2022

Link: https://doi.org/10.3390/..

3

Post-Processing Bias Field Inhomogeneity Correction for Ass..:

Nguyen, Alex Anh-Tu ; Onishi, Natsuko ; Carmona-Bozo, Julia...
Tomography. 8 (2022) 2 - p. 891-904 , 2022

Link: https://doi.org/10.3390/..

4

Using Deep Learning to Improve Nonsystematic Viewing of Bre..:

Eskreis-Winkler, Sarah ; Onishi, Natsuko ; Pinker, Katja...
Journal of Breast Imaging. 3 (2021) 2 - p. 201-207 , 2021

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

5

Denoising and Multiple Tissue Compartment Visualization of ..:

Tan, Ek T. ; Wilmes, Lisa J. ; Joe, Bonnie N....
Journal of Magnetic Resonance Imaging. 53 (2020) 1 - p. , 2020

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

6

Comparison of Segmentation Methods in Assessing Background ..:

Nguyen, Alex Anh-Tu ; Arasu, Vignesh A. ; Strand, Fredrik...
Tomography. 6 (2020) 2 - p. 101-110 , 2020

Link: https://doi.org/10.18383..

7

Ultrafast dynamic contrast-enhanced breast MRI may generate..:

Onishi, Natsuko ; Sadinski, Meredith ; Hughes, Mary C....
Breast Cancer Research. 22 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

8

Impact of MRI Protocol Adherence on Prediction of Pathologi..:

Onishi, Natsuko ; Li, Wen ; Gibbs, Jessica...
Tomography. 6 (2020) 2 - p. 77-85 , 2020

Link: https://doi.org/10.18383..

9

Breast cancer screening for women at high risk: review of c..:

Onishi, Natsuko ; Kataoka, Masako
Breast Cancer. 28 (2020) 6 - p. 1195-1211 , 2020

Link: https://doi.org/10.1007/..

10

Denoising and Multiple Tissue Compartment Visualization of ..:

Tan, Ek T. ; Wilmes, Lisa J. ; Joe, Bonnie N....
Journal of Magnetic Resonance Imaging. 53 (2020) 1 - p. 271-282 , 2020

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

11

Tumor Sphericity Predicts Response in Neoadjuvant Chemother..:

Li, Wen ; Newitt, David C. ; La Yun, Bo...
Tomography. 6 (2020) 2 - p. 216-222 , 2020

Link: https://doi.org/10.18383..

12

Predicting breast cancer response to neoadjuvant treatment ..:

Li, Wen ; Newitt, David C. ; Gibbs, Jessica...
npj Breast Cancer. 6 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

13

Can Follow-up be Avoided for Probably Benign US Masses with..:

Avendano, Daly ; Marino, Maria Adele ; Onishi, Natsuko...
European Radiology. 31 (2020) 2 - p. 975-982 , 2020

Link: https://doi.org/10.1007/..

14

A machine learning model that classifies breast cancer path..:

Sutton, Elizabeth J. ; Onishi, Natsuko ; Fehr, Duc A....
Breast Cancer Research. 22 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

15

Differentiation between subcentimeter carcinomas and benign..:

Onishi, Natsuko ; Sadinski, Meredith ; Gibbs, Peter...
European Radiology. 30 (2019) 2 - p. 756-766 , 2019

Link: https://doi.org/10.1007/..