Arthur Longuefosse

According to our database, Arthur Longuefosse authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Generating synthetic computed tomography for radiotherapy: SynthRAD2025 challenge report.

Viktor Rogowski, Maarten L. Terpstra, Niklas Wahl, Florian Kamp, Erik van der Bijl, Arthur Jr Galapon, Christopher Kurz, Bowen Xin, Zhengxiang Sun, Hollie Min, Gregg Belous, Jason Dowling, Yan Xia, Siyuan Mei, Fuxin Fan, Arthur Longuefosse, Javier Sequeiro González, Miguel Díaz Benito, Álvaro García-Martín, Fabien Baldacci, Valentin Boussot, Cédric Hémon, Jean-Claude Nunes, Jean-Louis Dillenseger, Zhiyuan Zhang, Jinghua Cai, Han Bing, Tan Zuopeng, Ricardo Coimbra Brioso, Daniele Loiacono, Guillaume Landry, Adrian Thummerer, Matteo Maspero

CoRR, May, 2026

From Intensity to Anatomy: Optimizing nnU-Net for MR-to-CT Translation on SynthRAD2025.

Arthur Longuefosse, Javier Sequeiro González, Fabien Baldacci, Jun Seita

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Preserving Marker Specificity with Lightweight Channel-Independent Representation Learning.

Simon Gutwein, Arthur Longuefosse, Jun Seita, Sabine Taschner-Mandl, Roxane Licandro

CoRR, December, 2025

Deep Learning-Based Cross-Anatomy CT Synthesis Using Adapted nnResU-Net with Anatomical Feature Prioritized Loss.

Javier Sequeiro González, Arthur Longuefosse, Miguel Díaz Benito, Álvaro García-Martín, Fabien Baldacci

CoRR, September, 2025

Multi-modal Brain MRI Synthesis with nnU-Net: Exploring Segmentation Performance and Cross-Modality Relationships.

Cecilia Diana-Albelda, Arthur Longuefosse, Álvaro García-Martín, Jesús Bescós

Proceedings of the Simulation and Synthesis in Medical Imaging, 2025

2024

Deep learning for MR to CT translation in thoracic imaging. (Apprentissage profond pour la conversion d'IRM vers TDM en imagerie thoracique).

Arthur Longuefosse

PhD thesis, 2024

Anatomical feature-prioritized loss for enhanced MR to CT translation.

Arthur Longuefosse, Baudouin Denis de Senneville, Gael Dournes, Ilyes Benlala, Pascal Desbarats, Fabien Baldacci

CoRR, 2024

Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting.

Arthur Longuefosse, Edern Le Bot, Baudouin Denis de Senneville, Rémi Giraud, Boris Mansencal, Pierrick Coupé, Pascal Desbarats, Fabien Baldacci

Proceedings of the Simulation and Synthesis in Medical Imaging, 2024

On the Use of Perceptual Loss for Fine Structure Generation : Illustration on Lung MR to CT Synthesis.

Arthur Longuefosse, Baudouin Denis de Senneville, Gaël Dournes, Ilyes Benlala, Pascal Desbarats, Fabien Baldacci

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Incorporating 3D Information in 2.5D Networks: Strategies for MR to CT Synthesis.

Arthur Longuefosse, Baudouin Denis de Senneville, Gaël Dournes, Ilyes Benlala, Pascal Desbarats, Fabien Baldacci

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

MR to CT Synthesis Using GANs: A Practical Guide Applied to Thoracic Imaging.

Arthur Longuefosse, Baudouin Denis de Senneville, Gaël Dournes, Ilyes Benlala, François Laurent, Pascal Desbarats, Fabien Baldacci

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Lung CT Synthesis Using GANs with Conditional Normalization on Registered Ultrashort Echo-Time MRI.

Arthur Longuefosse, Gaël Dournes, Ilyes Benlala, Baudouin Denis de Senneville, François Laurent, Pascal Desbarats, Fabien Baldacci

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023