Search Results for author: Lidia Garrucho

Found 6 papers, 4 papers with code

Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

1 code implementation20 Mar 2024 Richard Osuala, Daniel Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Julia Schnabel, Karim Lekadir

Contrast agents in dynamic contrast enhanced magnetic resonance imaging allow to localize tumors and observe their contrast kinetics, which is essential for cancer characterization and respective treatment decision-making.

Decision Making Image Generation +1

Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation

1 code implementation17 Nov 2023 Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Oliver Diaz, Karim Lekadir

Despite its benefits for tumour detection and treatment, the administration of contrast agents in dynamic contrast-enhanced MRI (DCE-MRI) is associated with a range of issues, including their invasiveness, bioaccumulation, and a risk of nephrogenic systemic fibrosis.

Data Augmentation Generative Adversarial Network +1

Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study

no code implementations27 Jan 2022 Lidia Garrucho, Kaisar Kushibar, Socayna Jouide, Oliver Diaz, Laura Igual, Karim Lekadir

In this work, we explore the domain generalization of deep learning methods for mass detection in digital mammography and analyze in-depth the sources of domain shift in a large-scale multi-center setting.

Breast Cancer Detection Domain Generalization +1

Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging

no code implementations20 Jul 2021 Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Diaz, Karim Lekadir

Despite technological and medical advances, the detection, interpretation, and treatment of cancer based on imaging data continue to pose significant challenges.

Image Generation Lesion Detection

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