Lidia Garrucho

According to our database, Lidia Garrucho authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 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