Search Results for author: Oliver Diaz

Found 11 papers, 6 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

Revisiting Skin Tone Fairness in Dermatological Lesion Classification

1 code implementation18 Aug 2023 Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Diaz, Richard Osuala

Addressing fairness in lesion classification from dermatological images is crucial due to variations in how skin diseases manifest across skin tones.

Classification Fairness +2

Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification

1 code implementation8 Mar 2022 Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Diaz

Our experiments demonstrate that shared GANs notably increase the performance of both transformer and convolutional classification models and highlight this approach as a viable alternative to inter-centre data sharing.

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

Quality analysis of DCGAN-generated mammography lesions

no code implementations28 Nov 2019 Basel Alyafi, Oliver Diaz, Joan C. Vilanova, Javier del Riego, Robert Marti

Medical image synthesis has gained a great focus recently, especially after the introduction of Generative Adversarial Networks (GANs).

Image Generation Super-Resolution

DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography

no code implementations4 Sep 2019 Basel Alyafi, Oliver Diaz, Robert Marti

Early detection of breast cancer has a major contribution to curability, and using mammographic images, this can be achieved non-invasively.

Lesion Detection object-detection +1

Cannot find the paper you are looking for? You can Submit a new open access paper.