Lidia Garrucho

20 papers Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. Medical Image Anal. Nicholas Konz, Richard Osuala, Preeti Verma, Yuwen Chen, Hanxue Gu, Haoyu Dong, Yaqian Chen, Andrew Marshall, Lidia Garrucho, Kaisar Kushibar, Daniel Lang, Sungheon Gene Kim, Lars J. Grimm, John Lewin, James S. Duncan, Julia A. Schnabel, Oliver Díaz, Karim Lekadir, Maciej A. Mazurowski
2026	J	`jnl`	The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction. CoRR Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, 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, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir
2025	J	`jnl`	Federated learning in low-resource settings: A chest imaging study in Africa - Challenges and lessons learned. CoRR Jorge Fabila, Lidia Garrucho, Víctor M. Campello, Carlos Martín-Isla, Karim Lekadir
2025	J	`jnl`	Federated nnU-Net for Privacy-Preserving Medical Image Segmentation. CoRR 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
2025	J	`jnl`	Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification. CoRR Smriti Joshi, Lidia Garrucho, Richard Osuala, Oliver Díaz, Karim Lekadir
2025	—	`conf`	Single Image Test-Time Adaptation via Multi-View Co-Training. MICCAI (6) Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri A. Kessler, Oliver Díaz, Karim Lekadir
2025	J	`jnl`	Single Image Test-Time Adaptation via Multi-View Co-Training. CoRR Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri A. Kessler, Oliver Díaz, Karim Lekadir
2024	—	`conf`	Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation. Deep-Breath@MICCAI Lidia Garrucho, Eve Delegue, Richard Osuala, Dimitri A. Kessler, Kaisar Kushibar, Oliver Díaz, Karim Lekadir, Laura Igual
2024	J	`jnl`	MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR 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
2024	J	`jnl`	Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. CoRR Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir
2024	J	`jnl`	Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models. CoRR Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
2024	—	`conf`	Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) 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
2023	J	`jnl`	Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir
2023	J	`jnl`	Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. CoRR Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Karim Lekadir
2022	J	`jnl`	Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study. Artif. Intell. Medicine Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir
2022	J	`jnl`	Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study. CoRR Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Díaz, Laura Igual, Karim Lekadir
2022	J	`jnl`	High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir
2022	—	`conf`	Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation. MICCAI (8) Kaisar Kushibar, Víctor M. Campello, Lidia Garrucho, Akis Linardos, Petia Radeva, Karim Lekadir
2022	J	`jnl`	medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR 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
2021	J	`jnl`	A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir