E-LIB Suche - Ergebnisse für: Bonet-Carne, E

1

Evaluation of PSA and PSA Density in a Multiparametric Magn..:

Pye, H ; Singh, S ; Norris, JM...
https://discovery.ucl.ac.uk/id/eprint/10126700/1/cancers-13-01985.pdf. , 2021

2

Cross-scanner and cross-protocol multi-shell diffusion MRI ..:

Ning, L ; Bonet-Carne, E ; Grussu, F...
https://discovery.ucl.ac.uk/id/eprint/10106006/1/1-s2.0-S1053811920306145-main.pdf. , 2020

Link: https://discovery.ucl.ac..

3

VERDICT MRI for Prostate Cancer: Intracellular Volume Fract..:

Johnston, EW ; Bonet-Carne, E ; Ferizi, U...
https://discovery.ucl.ac.uk/id/eprint/10071629/1/Ahmed_VERDICT%20MRI%20for%20Prostate%20Cancer.%20Intracellular%20Volume%20Fraction%20versus%20Apparent%20Diffusion%20Coefficient_VoR.pdf. , 2019

Link: https://discovery.ucl.ac..

4

VERDICT MRI for prostate cancer: intracellular volume fract..:

Johnston, EW ; Bonet-Carne, E ; Ferizi, U...
Radiology. , 2019

Link: http://hdl.handle.net/10..

5

VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive..:

Bonet-Carne, E ; Johnston, E ; Daducci, A...
info:eu-repo/semantics/altIdentifier/doi/10.1002/nbm.4019. , 2019

Link: https://serval.unil.ch/n..

6

VERDICT‐AMICO: Ultrafast fitting algorithm for non‐invasive..:

Bonet-Carne, E ; Johnston, E ; Daducci, A...
https://discovery.ucl.ac.uk/id/eprint/10056571/8/Alexander%20VoR%20Bonet-Carne_et_al-2019-NMR_in_Biomedicine.pdf. , 2019

Link: https://discovery.ucl.ac..

7

Histological Validation of in-vivo VERDICT MRI for Prostate..:

Bonet-Carne, E ; Tariq, M ; Pye, H...
https://discovery.ucl.ac.uk/id/eprint/10042820/1/bonet-carne_ISMRM2018VERDICT_Submitted_version.pdf. , 2018

Link: https://discovery.ucl.ac..

8

The intracellular component of VERDICT (Vascular, Extracell..:

Brizmohun, M ; Johnston, E ; Latifoltojar, A...
https://discovery.ucl.ac.uk/id/eprint/10047404/1/Appayya6276.pdf. , 2018

Link: https://discovery.ucl.ac..

9

Feasibility of VERDICT-MRI for non-invasive characterisatio..:

Tariq, M ; Liao, C ; Bonet-Carne, E...
https://discovery.ucl.ac.uk/id/eprint/10042864/1/ISMRM_RC_2018.pdf. , 2018

Link: https://discovery.ucl.ac..

10

VERDICT prostate parameter estimation with AMICO:

Bonet-Carne, E ; Daducci, A ; Johnston, E...
https://discovery.ucl.ac.uk/id/eprint/10040283/1/bonet-carne_VERDICTAMICO-prostate-parameter%20%281%29.pdf. , 2018

Link: https://discovery.ucl.ac..

11

Clinical Feasibility of Quantitative Ultrasound Texture Ana..:

Perez‐Moreno, A ; Dominguez, M ; Migliorelli, F...
https://discovery.ucl.ac.uk/id/eprint/10057850/1/perez-moreno_revised_manuscript.pdf. , 2018

Link: https://discovery.ucl.ac..

12

Prostate Cancer Classification on VERDICT DW-MRI Using Conv..:

Chiou, E ; Giganti, F ; Bonet-Carne, E...
https://discovery.ucl.ac.uk/id/eprint/10057943/1/Prostate%20cancer%20classification.pdf. , 2018

Link: https://discovery.ucl.ac..

13

Linking a Multi-Compartment T2 Model to Diffusion Microstru..:

Devine, W ; Johnston, E ; Bonet-Carne, E...
https://discovery.ucl.ac.uk/id/eprint/1551460/1/Alexander_abstract.pdf. , 2017

Link: https://discovery.ucl.ac..

14

Quantitative Analysis of the Cervical Texture by Ultrasound..:

Baños, N ; Perez-Moreno, A ; Migliorelli, F...
https://discovery.ucl.ac.uk/id/eprint/10042867/3/Bonet-Carne_Quantitative%20Analysis%20of%20the%20Cervical%20Texture%20by%20Ultrasound%20and%20Correlation%20with%20Gestational%20Age.pdf. , 2017

Link: https://discovery.ucl.ac..

15

Prediction of neonatal respiratory morbidity by quantitativ..:

Palacio, M ; Bonet-Carne, E ; Cobo, T...
https://discovery.ucl.ac.uk/id/eprint/10042860/1/Bonet-Carne_Prediction%20of%20neonatal%20respiratory%20morbidity%20by%20quantitative%20ultrasound%20lung%20texture%20analysis.%20A%20multicenter%20study.pdf. , 2017

Link: https://discovery.ucl.ac..