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2020 – today
- 2026
[j4]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:
Fréchet radiomic distance (FRD): A versatile metric for comparing medical imaging datasets. Medical Image Anal. 110: 103943 (2026)- [j3]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:
A Review of Methods for Trustworthy AI in Medical Imaging: The FUTURE-AI Guidelines. IEEE J. Biomed. Health Informatics 30(3): 2299-2315 (2026) - [c15]Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel:
Abstract: Progressive Growing of Patch Size - Curriculum Learning for Accelerated, Improved Medical Image Segmentation. Bildverarbeitung für die Medizin 2026: 267-268 - 2025
- [j2]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:
Assessing Cancer Presence in Prostate MRI Using Multi-Encoder Cross-Attention Networks. J. Imaging 11(4): 98 (2025) - [c14]Tanya Akumu, Marawan Elbatel, Víctor M. Campello, Richard Osuala, Carlos Martín-Isla, Ignacio Valenzuela, Xiaomeng Li, Bishesh Khanal, Karim Lekadir:
Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos. MICCAI (14) 2025: 3-12 - [c13]Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos:
Clinically-Guided Data Synthesis for Laryngeal Lesion Detection. MICCAI (11) 2025: 54-63 - [c12]Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Vien Ngoc Dang, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra:
Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models. FAIMI@MICCAI 2025: 63-73 - [c11]Sebastian Ibarra, Javier del Riego, Alessandro Catanese, Julian Cuba, Julian Cardona, Nataly Leon, Jonathan Infante, Karim Lekadir, Oliver Díaz, Richard Osuala:
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-contrast Images. Deep-Breath@MICCAI 2025: 226-236 - [c10]Daniel Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel:
Temporal Neural Cellular Automata: Application to Modeling of Contrast Enhancement in Breast MRI. MICCAI (4) 2025: 604-614 - [c9]Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri A. Kessler, Oliver Díaz, Karim Lekadir:
Single Image Test-Time Adaptation via Multi-View Co-Training. MICCAI (6) 2025: 617-627 - [i23]Daniel M. Lang, Richard Osuala, Veronika Spieker, Karim Lekadir, Rickmer Braren, Julia A. Schnabel:
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI. CoRR abs/2506.18720 (2025) - [i22]Smriti Joshi, Richard Osuala, Lidia Garrucho, Kaisar Kushibar, Dimitri A. Kessler, Oliver Díaz, Karim Lekadir:
Single Image Test-Time Adaptation via Multi-View Co-Training. CoRR abs/2506.23705 (2025) - [i21]Chiara Baldini, Kaisar Kushibar, Richard Osuala, Simone Balocco, Oliver Díaz, Karim Lekadir, Leonardo S. Mattos:
Clinically-guided Data Synthesis for Laryngeal Lesion Detection. CoRR abs/2508.06182 (2025) - [i20]Sebastian Ibarra, Javier del Riego, Alessandro Catanese, Julian Cuba, Julian Cardona, Nataly Leon, Jonathan Infante, Karim Lekadir, Oliver Díaz, Richard Osuala:
Comparing Conditional Diffusion Models for Synthesizing Contrast-Enhanced Breast MRI from Pre-Contrast Images. CoRR abs/2508.13776 (2025) - [i19]Smriti Joshi, Lidia Garrucho, Richard Osuala, Oliver Díaz, Karim Lekadir:
Mask-Guided Multi-Channel SwinUNETR Framework for Robust MRI Classification. CoRR abs/2508.20621 (2025) - [i18]Stefan M. Fischer, Johannes Kiechle, Laura Daza, Lina Felsner, Richard Osuala, Daniel M. Lang, Karim Lekadir, Jan C. Peeken, Julia A. Schnabel:
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation. CoRR abs/2510.23241 (2025) - [i17]Xavier Rafael-Palou, Jose Munuera, Ana Jimenez-Pastor, Richard Osuala, Karim Lekadir, Oliver Díaz:
Agent-Based Output Drift Detection for Breast Cancer Response Prediction in a Multisite Clinical Decision Support System. CoRR abs/2512.18450 (2025) - 2024
- [c8]Richard Osuala, Daniel Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Enhancing the Utility of Privacy-Preserving Cancer Classification Using Synthetic Data. Deep-Breath@MICCAI 2024: 54-64 - [c7]Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco:
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. DGM4MICCAI@MICCAI 2024: 139-149 - [c6]Lidia Garrucho, Eve Delegue, Richard Osuala, Dimitri A. Kessler, Kaisar Kushibar, Oliver Díaz, Karim Lekadir, Laura Igual:
Fat-Suppressed Breast MRI Synthesis for Domain Adaptation in Tumour Segmentation. Deep-Breath@MICCAI 2024: 202-211 - [c5]Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel:
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. MICCAI (9) 2024: 510-520 - [c4]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:
Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. MICCAI (5) 2024: 713-723 - [i16]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:
Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models. CoRR abs/2403.13890 (2024) - [i15]Grzegorz Skorupko, Richard Osuala, Zuzanna Szafranowska, Kaisar Kushibar, Nay Aung, Steffen E. Petersen, Karim Lekadir, Polyxeni Gkontra:
Debiasing Cardiac Imaging with Controlled Latent Diffusion Models. CoRR abs/2403.19508 (2024) - [i14]Marta Buetas Arcas, Richard Osuala, Karim Lekadir, Oliver Díaz:
Mitigating annotation shift in cancer classification using single image generative models. CoRR abs/2405.19754 (2024) - [i13]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:
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR abs/2406.13844 (2024) - [i12]Stefan M. Fischer, Lina Felsner, Richard Osuala, Johannes Kiechle, Daniel M. Lang, Jan C. Peeken, Julia A. Schnabel:
Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks. CoRR abs/2407.07853 (2024) - [i11]Richard Osuala, Daniel M. Lang, Anneliese Riess, Georgios Kaissis, Zuzanna Szafranowska, Grzegorz Skorupko, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data. CoRR abs/2407.12669 (2024) - [i10]Deniz Daum, Richard Osuala, Anneliese Riess, Georgios Kaissis, Julia A. Schnabel, Maxime Di Folco:
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion Models. CoRR abs/2407.16405 (2024) - [i9]Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Daniel M. Lang, Julia A. Schnabel, Oliver Díaz, Karim Lekadir:
Simulating Dynamic Tumor Contrast Enhancement in Breast MRI using Conditional Generative Adversarial Networks. CoRR abs/2409.18872 (2024) - 2023
- [j1]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Anal. 84: 102704 (2023) - [c3]Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala:
Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CLIP/FAIMI/EPIMI@MICCAI 2023: 246-255 - [i8]Thorsten Kalb, Kaisar Kushibar, Celia Cintas, Karim Lekadir, Oliver Díaz, Richard Osuala:
Revisiting Skin Tone Fairness in Dermatological Lesion Classification. CoRR abs/2308.09640 (2023) - [i7]Richard Osuala, Smriti Joshi, Apostolia Tsirikoglou, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Karim Lekadir:
Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation. CoRR abs/2311.10879 (2023) - 2022
- [i6]Zuzanna Szafranowska, Richard Osuala, Bennet Breier, Kaisar Kushibar, Karim Lekadir, Oliver Díaz:
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification. CoRR abs/2203.04961 (2022) - [i5]Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir:
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR abs/2209.09809 (2022) - [i4]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:
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging. CoRR abs/2209.14472 (2022) - [i3]Ben Schaper, Christopher Lohse, Marcell Streile, Andrea Giovannini, Richard Osuala:
Towards Interpretable Summary Evaluation via Allocation of Contextual Embeddings to Reference Text Topics. CoRR abs/2210.14174 (2022) - 2021
- [c2]Smriti Joshi, Richard Osuala, Carlos Martín-Isla, Víctor M. Campello, Carla Sendra-Balcells, Karim Lekadir, Sergio Escalera:
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging. BrainLes@MICCAI (2) 2021: 540-551 - [i2]Richard Osuala, Kaisar Kushibar, Lidia Garrucho, Akis Linardos, Zuzanna Szafranowska, Stefan Klein, Ben Glocker, Oliver Díaz, Karim Lekadir:
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions. CoRR abs/2107.09543 (2021) - [i1]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:
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging. CoRR abs/2109.09658 (2021)
2010 – 2019
- 2017
- [c1]Richard Osuala, Ognjen Arandjelovic:
Visualization of patient specific disease risk prediction. BHI 2017: 241-244
Coauthor Index
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