Richard Osuala

According to our database, Richard Osuala authored at least 19 papers between 2017 and 2024.

Collaborative distances:

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

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

Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data.

Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, 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

Mitigating annotation shift in cancer classification using single image generative models.

Marta Buetas Arcas, Richard Osuala, Karim Lekadir, Oliver Díaz

CoRR, 2024

Debiasing Cardiac Imaging with Controlled Latent Diffusion Models.

Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra

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

Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.

Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel

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

On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models.

Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 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

Revisiting Skin Tone Fairness in Dermatological Lesion Classification.

Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics.

Ben Schaper, Christopher Lohse, Marcell Streile, Andrea Giovannini, Richard Osuala

CoRR, 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

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

Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz

CoRR, 2022

2021

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.

Karim Lekadir, Richard Osuala, Catherine Gallin, Noussair Lazrak, Kaisar Kushibar, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Konstantinos Marias, Manolis Tsiknakis, Sara Colantonio, Nickolas Papanikolaou, Zohaib Salahuddin, Henry C. Woodruff, Philippe Lambin, Luis Martí-Bonmatí

CoRR, 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

nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.

Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Víctor M. Campello, Carla Sendra-Balcells, Karim Lekadir, Sergio Escalera

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2017

Visualization of patient specific disease risk prediction.

Richard Osuala, Ognjen Arandjelovic

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017