Richard Osuala

43 papers Journal 28Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines.
IEEE J. Biomed. Health Informatics
Haridimos Kondylakis, Richard Osuala, Xènia Puig-Bosch, Noussair Lazrak, Oliver Díaz, Kaisar Kushibar, Ioanna Chouvarda, Stefanie Charalambous, Martijn P. A. Starmans, Sara Colantonio, Nikolaos S. Tachos, Smriti Joshi, Henry C. Woodruff, Zohaib Salahuddin, Gianna Tsakou, Susanna Aussó, Leonor Cerdá Alberich, Nikolaos Papanikolaou, Philippe Lambin, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis, Luis Martí-Bonmatí, Karim Lekadir
2026 — conf
Abstract: Progressive Growing of Patch Size - Curriculum Learning for Accelerated, Improved Medical Image Segmentation.
Bildverarbeitung für die Medizin
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
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 — conf
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos.
MICCAI (14)
Tanya Akumu, Marawan Elbatel, Víctor M. Campello, Richard Osuala, Carlos Martín-Isla, Ignacio Valenzuela, Xiaomeng Li, Bishesh Khanal, Karim Lekadir
2025 J jnl
Agent-Based Output Drift Detection for Breast Cancer Response Prediction in a Multisite Clinical Decision Support System.
CoRR
Xavier Rafael-Palou, Jose Munuera, Ana Jimenez-Pastor, Richard Osuala, Karim Lekadir, Oliver Díaz
2025 J jnl
Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks.
J. Imaging
Avtantil Dimitriadis, Grigorios Kalliatakis, Richard Osuala, Dimitri A. Kessler, Simone Mazzetti, Daniele Regge, Oliver Díaz, Karim Lekadir, Dimitrios A. Fotiadis, Manolis Tsiknakis, Nikolaos Papanikolaou, Kostas Marias, ProCAncer-I Consortium
2025 — conf
Clinically-Guided Data Synthesis for Laryngeal Lesion Detection.
MICCAI (11)
Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos
2025 J jnl
Clinically-guided Data Synthesis for Laryngeal Lesion Detection.
CoRR
Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos
2025 J jnl
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images.
CoRR
Sebastian Ibarra, Javier del Riego, Alessandro Catanese, Julian Cuba, Julian Cardona, Nataly Leon, Jonathan Infante, Karim Lekadir, Oliver Díaz, Richard Osuala
2025 — conf
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-contrast Images.
Deep-Breath@MICCAI
Sebastian Ibarra, Javier del Riego, Alessandro Catanese, Julian Cuba, Julian Cardona, Nataly Leon, Jonathan Infante, Karim Lekadir, Oliver Díaz, Richard Osuala
2025 — conf
Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models.
FAIMI@MICCAI
Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Vien Ngoc Dang, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
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 J jnl
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation.
CoRR
Stefan M. Fischer, Johannes Kiechle, Laura Daza, Lina Felsner, Richard Osuala, Daniel M. Lang, Karim Lekadir, Jan C. Peeken, Julia A. Schnabel
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
2025 — conf
Temporal Neural Cellular Automata: Application to Modeling of Contrast Enhancement in Breast MRI.
MICCAI (4)
Daniel Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel
2025 J jnl
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI.
CoRR
Daniel M. Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel
2024 J jnl
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models.
CoRR
Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra
2024 — conf
Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data.
Deep-Breath@MICCAI
Richard Osuala, Daniel Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir
2024 J jnl
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data.
CoRR
Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, 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
Mitigating annotation shift in cancer classification using single image generative models.
CoRR
Marta Buetas Arcas, Richard Osuala, Karim Lekadir, Oliver Díaz
2024 — conf
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models.
DGM4MICCAI@MICCAI
Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco
2024 J jnl
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models.
CoRR
Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco
2024 — conf
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
MICCAI (9)
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
2024 J jnl
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks.
CoRR
Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel
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
2023 — conf
Revisiting Skin Tone Fairness in Dermatological Lesion Classification.
CLIP/FAIMI/EPIMI@MICCAI
Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala
2023 J jnl
Revisiting Skin Tone Fairness in Dermatological Lesion Classification.
CoRR
Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala
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 J jnl
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification.
CoRR
Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz
2022 J jnl
Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics.
CoRR
Ben Schaper, Christopher Lohse, Marcell Streile, Andrea Giovannini, Richard Osuala
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
2021 J jnl
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging.
CoRR
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
2021 — conf
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.
BrainLes@MICCAI (2)
Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Víctor M. Campello, Carla Sendra-Balcells, Karim Lekadir, Sergio Escalera
2017 — conf
Visualization of patient specific disease risk prediction.
BHI
Richard Osuala, Ognjen Arandjelovic