Lidia Garrucho

According to our database, Lidia Garrucho authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 2025

Federated learning in low-resource settings: A chest imaging study in Africa - Challenges and lessons learned.

Jorge Fabila, Lidia Garrucho, Víctor M. Campello, Carlos Martín-Isla, Karim Lekadir

CoRR, May, 2025

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, Karim Lekadir

CoRR, March, 2025

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, Julia A. Schnabel, Oliver Díaz, Karim Lekadir

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, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir

CoRR, 2024

Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models.

Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

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, Ben Glocker, Oliver Díaz, Karim Lekadir

Medical Image Anal., 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

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, Smriti Joshi, Socayna Jouide, Michael W. Rutherford, Fred W. Prior, Kaisar Kushibar, Oliver Díaz, Karim Lekadir

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

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

Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation.

Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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, Ben Glocker, Oliver Díaz, Karim Lekadir

CoRR, 2021