E-LIB Suche - Ergebnisse für: Blumberg, Stefano B.

1

CF-Loss: Clinically-relevant feature optimised loss functio..:

Zhou, Yukun ; Xu, MouCheng ; Hu, Yipeng...
Medical Image Analysis. 93 (2024) - p. 103098 , 2024

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

2

Low-field magnetic resonance image enhancement via stochast..:

Lin, Hongxiang ; Figini, Matteo ; D'Arco, Felice...
Medical Image Analysis. 87 (2023) - p. 102807 , 2023

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

3

Validation of deep learning techniques for quality augmenta..:

Aja-Fernández, Santiago ; Martín-Martín, Carmen ; Planchuelo-Gómez, Álvaro...
NeuroImage: Clinical. 39 (2023) - p. 103483 , 2023

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

4

Fitting a Directional Microstructure Model to Diffusion-Rel..:

, In: Computational Diffusion MRI; Lecture Notes in Computer Science,

Lim, Jason P. ; Blumberg, Stefano B. ; Narayan, Neil... - p. 77-88 , 2022

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

5

Progressive Subsampling for Oversampled Data - Application ..:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022,

Blumberg, Stefano B. ; Lin, Hongxiang ; Grussu, Francesco... - p. 421-431 , 2022

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

6

Degenerative adversarial neuroimage nets for brain scan sim..:

Ravi, Daniele ; Blumberg, Stefano B. ; Ingala, Silvia...
Medical Image Analysis. 75 (2022) - p. 102257 , 2022

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

7

Feasibility of Data-Driven, Model-Free Quantitative MRI Pro..:

Grussu, Francesco ; Blumberg, Stefano B. ; Battiston, Marco...
Frontiers in Physics. 9 (2021) - p. , 2021

Link: https://doi.org/10.3389/..

8

QuantNet: transferring learning across trading strategies:

Koshiyama, Adriano ; Blumberg, Stefano B. ; Firoozye, Nick..
Quantitative Finance. 22 (2021) 6 - p. 1071-1090 , 2021

Link: https://doi.org/10.1080/..

9

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

Ning, Lipeng ; Bonet-Carne, Elisenda ; Grussu, Francesco...
NeuroImage. 221 (2020) - p. 117128 , 2020

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

10

Acquiring and Predicting Multidimensional Diffusion (MUDI) ..:

, In: Computational Diffusion MRI; Mathematics and Visualization,

Pizzolato, Marco ; Palombo, Marco ; Bonet-Carne, Elisenda... - p. 195-208 , 2020

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

11

Disease Knowledge Transfer Across Neurodegenerative Disease:

, In: Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2019,

Alzheimer's Disease Neuroimaging Initiative ; Marinescu, Răzvan V. ; Lorenzi, Marco... - p. 860-868 , 2019

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

12

Deep Learning for Low-Field to High-Field MR: Image Quality..:

, In: Machine Learning for Medical Image Reconstruction; Lecture Notes in Computer Science,

Lin, Hongxiang ; Figini, Matteo ; Tanno, Ryutaro... - p. 58-70 , 2019

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

13

Muti-shell Diffusion MRI Harmonisation and Enhancement Chal..:

, In: Computational Diffusion MRI; Mathematics and Visualization,

Ning, Lipeng ; Bonet-Carne, Elisenda ; Grussu, Francesco... - p. 217-224 , 2019

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

14

ABCD Neurocognitive Prediction Challenge 2019: Predicting I..:

, In: Adolescent Brain Cognitive Development Neurocognitive Prediction; Lecture Notes in Computer Science,

Oxtoby, Neil P. ; Ferreira, Fabio S. ; Mihalik, Agoston... - p. 114-123 , 2019

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

15

ABCD Neurocognitive Prediction Challenge 2019: Predicting I..:

, In: Adolescent Brain Cognitive Development Neurocognitive Prediction; Lecture Notes in Computer Science,

Mihalik, Agoston ; Brudfors, Mikael ; Robu, Maria... - p. 133-142 , 2019

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