Monte Carlo Simulation of Scatter Field for Calculation of Contrast of Discs in Synthetic CDMAM Images. - Oliver Díaz; Mary Yip; Jorge Cabello; David R. Dance; Kenneth C. Young; Kevin Wells (Digital Mammography / IWDM, 2010)

Phantoms for Quality Control Procedures of Digital Breast Tomosynthesis. - Ramona Bouwman; Oliver Díaz; Kenneth C. Young; Ruben E. van Engen; Wouter J. H. Veldkamp; David R. Dance (Digital Mammography / IWDM, 2012)

A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems. - Premkumar Elangovan; Alistair Mackenzie; Oliver Díaz; Alaleh Rashidnasab; David R. Dance; Kenneth C. Young; Lucy M. Warren; Eman Shaheen; Hilde Bosmans; Predrag R. Bakic; Kevin Wells (Digital Mammography / IWDM, 2012)

Converting One Set of Mammograms to Simulate a Range of Detector Imaging Characteristics for Observer Studies. - Alistair Mackenzie; David R. Dance; Oliver Díaz; Annabel Barnard; Kenneth C. Young (Digital Mammography / IWDM, 2012)

Feasibility of Depth Sensors to Study Breast Deformation During Mammography Procedures. - Oliver Díaz; Arnau Oliver; Sergi Ganau; Eloy García 001; Joan Martí; Melcior Sentís; Robert Marti (Digital Mammography / IWDM, 2016)

Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration. - Eloy García 001; Arnau Oliver; Yago Diez; Oliver Díaz; Albert Gubern-Mérida; Xavier Lladó; Joan Martí (Digital Mammography / IWDM, 2016)

Detailed Analysis of Scatter Contribution from Different Simulated Geometries of X-ray Detectors. - Elena Marimon; Hammadi Nait-Charif; Asmar Khan; Philip A. Marsden; Oliver Díaz (Digital Mammography / IWDM, 2016)

Similarity Metrics for Intensity-Based Registration Using Breast Density Maps. - Eloy García 001; Arnau Oliver; Yago Diez; Oliver Díaz; Xavier Lladó; Robert Marti; Joan Martí (IbPRIA, 2017)

Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models. - Eloy García 001; Arnau Oliver; Oliver Díaz; Yago Diez; Albert Gubern-Mérida; Robert Marti; Joan Martí (Image-Guided Procedures, 2017)

Mass detection in mammograms using pre-trained deep learning models. - Richa Agarwal 002; Oliver Díaz; Xavier Lladó; Robert Martí (IWBI, 2018)

Digital breast tomosynthesis: impact of a new beam quality on dose to patients. - Margarita Chevalier; Carolina Viloria; Peterson Squair; Maria Socorro Nogueira; Oliver Díaz (IWBI, 2018)

Changes in breast density over time using automatic density measures: preliminary analysis. - Eloy García 001; Arnau Oliver; Oliver Díaz; Yago Diez; Albert Gubern-Mérida; Joan Martí; Robert Martí (IWBI, 2018)

Breast tomosynthesis reconstruction using TIGRE software tool. - Albert Malet; Diego García Pinto; Josep Fernández; Robert Martí; Oliver Díaz (IWBI, 2018)

A deep learning framework for micro-calcification detection in 2D mammography and C-view. - Giovanni Trovini; Christian Napoli 001; Robert Marti; Amaya Martin; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Oliver Díaz (IWBI, 2018)

Multimodal Breast Parenchymal Patterns Correlation Using a Patient-Specific Biomechanical Model. - Eloy García 001; Yago Diez; Oliver Díaz; Xavier Lladó; Albert Gubern-Mérida; Robert Marti; Joan Martí; Arnau Oliver (IEEE Trans. Medical Imaging, 2018)

Quality analysis of DCGAN-generated mammography lesions. - Basel Alyafi; Oliver Díaz; Joan Carles Vilanova; Javier del Riego; Robert Marti (CoRR, 2019)

Breast MRI and X-ray mammography registration using gradient values. - Eloy García 001; Yago Diez; Oliver Díaz; Xavier Lladó; Albert Gubern-Mérida; Robert Martí; Joan Martí; Arnau Oliver (Medical Image Anal., 2019)

DCGANs for realistic breast mass augmentation in x-ray mammography. - Basel Alyafi; Oliver Díaz; Robert Marti (Computer-Aided Diagnosis, 2020)

Deep learning for mass detection in Full Field Digital Mammograms. - Richa Agarwal 002; Oliver Díaz; Moi Hoon Yap; Xavier Lladó; Robert Martí (Comput. Biol. Medicine, 2020)

CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. - Giuseppe Pezzano; Oliver Díaz; Vicent J. Ribas Ripoll; Petia Radeva (Comput. Biol. Medicine, 2021)

A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (CoRR, 2021)

Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. - Jonas Teuwen; Nikita Moriakov; Christian Fedon; Marco Caballo; Ingrid S. Reiser; Predrag R. Bakic; Eloy García 001; Oliver Díaz; Koen Michielsen; Ioannis Sechopoulos (Medical Image Anal., 2021)

Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. - Lidia Garrucho; Kaisar Kushibar; Socayna Jouide; Oliver Díaz; Laura Igual; Karim Lekadir (Artif. Intell. Medicine, 2022)

Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. - Zuzanna Szafranowska; Richard Osuala; Bennet Breier; Kaisar Kushibar; Karim Lekadir; Oliver Díaz (CoRR, 2022)

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. - Lidia Garrucho; Kaisar Kushibar; Richard Osuala; Oliver Díaz; Alessandro Catanese; Javier del Riego; Maciej Bobowicz; Fredrik Strand; Laura Igual; Karim Lekadir (CoRR, 2022)

medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. - Richard Osuala; Grzegorz Skorupko; Noussair Lazrak; Lidia Garrucho; Eloy García 001; Smriti Joshi; Socayna Jouide; Michael W. Rutherford; Fred W. Prior; Kaisar Kushibar; Oliver Díaz; Karim Lekadir (CoRR, 2022)

Revisiting Skin Tone Fairness in Dermatological Lesion Classification. - Thorsten Kalb; Kaisar Kushibar; Celia Cintas; Karim Lekadir; Oliver Díaz; Richard Osuala (CLIP/FAIMI/EPIMI@MICCAI, 2023)

End-to-end mammographic breast density quantification with deep learning: preliminary study on simulated mammograms. - Sjoerd A. M. Tunissen; Andrea Motta; Franziska Mauter; Eloy García 001; Oliver Díaz; John M. Boone; Ioannis Sechopoulos; Marco Caballo (Computer-Aided Diagnosis, 2023)

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Karim Lekadir (CoRR, 2023)

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. - Richard Osuala; Kaisar Kushibar; Lidia Garrucho; Akis Linardos; Zuzanna Szafranowska; Stefan Klein 001; Ben Glocker; Oliver Díaz; Karim Lekadir (Medical Image Anal., 2023)

A fully automatic method for vascular tortuosity feature extraction in the supra-aortic region: unraveling possibilities in stroke treatment planning. - Pere Canals; Simone Balocco; Oliver Díaz; Jiahui Li; Álvaro García-Tornel; Alejandro Tomasello; Marta Olivé-Gadea; Marc Ribó (Comput. Medical Imaging Graph., 2023)

Problem-Based Learning. Application to a Laboratory Practice in the Degree of Industrial Chemical Engineering. - Oliver Díaz; Elisabet Segredo-Morales; Enrique González (Int. J. Eng. Pedagog., 2023)

Cardiometabolic risk estimation using exposome data and machine learning. - Angélica Atehortúa; Polyxeni Gkontra; Marina Camacho; Oliver Díaz; Maria Bulgheroni; Valentina Simonetti; Marc Chadeau-Hyam; Janine F. Felix; Sylvain Sebert; Karim Lekadir (Int. J. Medical Informatics, 2023)

Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation. - Lidia Garrucho; Eve Delegue; Richard Osuala; Dimitri A. Kessler; Kaisar Kushibar; Oliver Díaz; Karim Lekadir; Laura Igual (Deep-Breath@MICCAI, 2024)

Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. - Richard Osuala; Daniel Lang 003; Anneliese Riess; Georgios Kaissis; Zuzanna Szafranowska; Grzegorz Skorupko; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (Deep-Breath@MICCAI, 2024)

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. - Richard Osuala; Daniel M. Lang 003; Preeti Verma; Smriti Joshi; Apostolia Tsirikoglou; Grzegorz Skorupko; Kaisar Kushibar; Lidia Garrucho; Walter H. L. Pinaya; Oliver Díaz; Julia A. Schnabel; Karim Lekadir (MICCAI (5), 2024)

Mitigating annotation shift in cancer classification using single image generative models. - Marta Buetas Arcas; Richard Osuala; Karim Lekadir; Oliver Díaz (CoRR, 2024)

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. - Lidia Garrucho; Claire-Anne Reidel; Kaisar Kushibar; Smriti Joshi; Richard Osuala; Apostolia Tsirikoglou; Maciej Bobowicz; Javier del Riego; Alessandro Catanese; Katarzyna Gwozdziewicz; Maria-Laura Cosaka; Pasant M. Abo-Elhoda; et al. (CoRR, 2024)

Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. - Richard Osuala; Smriti Joshi; Apostolia Tsirikoglou; Lidia Garrucho; Walter H. L. Pinaya; Daniel M. Lang 003; Julia A. Schnabel; Oliver Díaz; Karim Lekadir (CoRR, 2024)

Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions. - Katerina Nikiforaki; Ioannis Karatzanis; Aikaterini Dovrou; Maciej Bobowicz; Katarzyna Gwozdziewicz; Oliver Díaz; Manolis Tsiknakis; Dimitrios I. Fotiadis; Karim Lekadir; Kostas Marias (J. Imaging, 2024)

Federated nnU-Net for Privacy-Preserving Medical Image Segmentation. - Grzegorz Skorupko; Fotios Avgoustidis; Carlos Martín-Isla; Lidia Garrucho; Dimitri A. Kessler; Esmeralda Ruiz Pujadas; Oliver Díaz; Maciej Bobowicz; Katarzyna Gwozdziewicz; Xavier Bargalló; Paulius Jarusevicius; Kaisar Kushibar; et al. (CoRR, 2025)

Segmentation variability and radiomics stability for predicting Triple-Negative Breast Cancer subtype using Magnetic Resonance Imaging. - Isabella Cama; Alejandro Guzmán; Cristina Campi; Michele Piana; Karim Lekadir; Sara Garbarino; Oliver Díaz (CoRR, 2025)

Single Image Test-Time Adaptation via Multi-View Co-Training. - Smriti Joshi; Richard Osuala; Lidia Garrucho; Kaisar Kushibar; Dimitri A. Kessler; Oliver Díaz; Karim Lekadir (CoRR, 2025)