Aaron Kujawa

Orcid: 0000-0002-1445-6207

According to our database1, Aaron Kujawa authored at least 16 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RANO2.0-assist: A 3D Slicer Extension for (semi-)automatic Assessment of Response to Glioma Treatment.
J. Open Source Softw., March, 2026

2025
Longitudinal Vestibular Schwannoma Dataset with Consensus-based Human-in-the-loop Annotations.
CoRR, November, 2025

Label tree semantic losses for rich multi-class medical image segmentation.
CoRR, July, 2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023.
CoRR, June, 2025

A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans.
CoRR, May, 2025

Tree-Based Semantic Losses: Application to Sparsely-Supervised Large Multi-class Hyperspectral Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Beyond One-Hot Encoding? Journey Into Compact Encoding for Large Multi-Class Segmentation.
Proceedings of the Efficient Medical Artificial Intelligence, 2025

2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.
Frontiers Comput. Neurosci., 2024

Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
CoRR, 2023

2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

2021
Inter Extreme Points Geodesics for Weakly Supervised Segmentation.
CoRR, 2021

Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2015
Partial volume correction for in vivo <sup>23</sup>Na-MRI data of the human brain.
NeuroImage, 2015


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