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Oliver Diaz
Oliver Diaz
Associate Professor at University of Barcelona (Spain)
Preverjeni e-poštni naslov na ub.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
Automatic mass detection in mammograms using deep convolutional neural networks
R Agarwal, O Diaz, X Lladó, MH Yap, R Martí
Journal of Medical Imaging 6 (3), 031409-031409, 2019
2052019
Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho, L Igual, P Radeva, ...
Physica Medica 83, 25-37, 2021
1412021
Deep learning for mass detection in Full Field Digital Mammograms
R Agarwal, O Díaz, MH Yap, X Lladó, R Martí
Computers in biology and medicine 121, 103774, 2020
1382020
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
R Osuala, K Kushibar, L Garrucho, A Linardos, Z Szafranowska, S Klein, ...
Medical Image Analysis 84, 102704, 2023
68*2023
Development and validation of a modelling framework for simulating 2D-mammography and breast tomosynthesis images
P Elangovan, LM Warren, A Mackenzie, A Rashidnasab, O Diaz, ...
Physics in Medicine and Biology 59 (15), 4275, 2014
622014
Simulation and assessment of realistic breast lesions using fractal growth models
A Rashidnasab, P Elangovan, M Yip, O Diaz, DR Dance, KC Young, ...
Physics in Medicine and Biology 58 (16), 5613, 2013
622013
Image simulation and a model of noise power spectra across a range of mammographic beam qualities
A Mackenzie, DR Dance, O Diaz, KC Young
Medical Physics 41 (12), 121901, 2014
602014
Estimation of scattered radiation in digital breast tomosynthesis
O Diaz, DR Dance, KC Young, P Elangovan, PR Bakic, K Wells
Physics in Medicine and Biology 59 (15), 4375, 2014
422014
Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study
L Garrucho, K Kushibar, S Jouide, O Diaz, L Igual, K Lekadir
Artificial Intelligence in Medicine 132, 102386, 2022
402022
Expanding the medical physicist curricular and professional programme to include Artificial Intelligence
F Zanca, I Hernandez-Giron, M Avanzo, G Guidi, W Crijns, O Diaz, ...
Physica Medica 83, 174-183, 2021
392021
Artificial intelligence in the medical physics community: An international survey
O Diaz, G Guidi, O Ivashchenko, N Colgan, F Zanca
Physica Medica 81, 141-146, 2021
372021
Mass detection in mammograms using pre-trained deep learning models
R Agarwal, O Diaz, X Lladó, R Martí
14th International Workshop on Breast Imaging (IWBI 2018) 10718, 107181F, 2018
342018
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
K Lekadir, AF Frangi, AR Porras, B Glocker, C Cintas, CP Langlotz, ...
bmj 388, 2025
332025
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
J Teuwen, N Moriakov, C Fedon, M Caballo, I Reiser, P Bakic, E García, ...
Medical image analysis 71, 102061, 2021
332021
DCGANs for realistic breast mass augmentation in x-ray mammography
B Alyafi, O Diaz, R Martí
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 1131420, 2020
332020
Artificial Intelligence for breast cancer detection: Technology, challenges, and prospects
O Díaz, A Rodríguez-Ruíz, I Sechopoulos
European Journal of Radiology, 111457, 2024
322024
Phantoms for quality control procedures in digital breast tomosynthesis: dose assessment
RW Bouwman, O Diaz, RE van Engen, KC Young, GJ den Heeten, ...
Physics in Medicine and Biology 58 (13), 4423, 2013
322013
medigan: a Python library of pretrained generative models for medical image synthesis
R Osuala, G Skorupko, N Lazrak, L Garrucho, E García, S Joshi, S Jouide, ...
Journal of Medical Imaging 10 (6), 061403-061403, 2023
31*2023
Breast MRI and X-ray mammography registration using gradient values
E García, Y Diez, O Diaz, X Lladó, A Gubern-Mérida, R Martí, J Martí, ...
Medical image analysis 54, 76-87, 2019
302019
A step‐by‐step review on patient‐specific biomechanical finite element models for breast MRI to x‐ray mammography registration
E García, Y Diez, O Diaz, X Lladó, R Martí, J Martí, A Oliver
Medical physics 45 (1), e6-e31, 2018
292018
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