Jonathan Shapey
Orcid: 0000-0003-0291-348X
According to our database1,
Jonathan Shapey
authored at least 32 papers
between 2019 and 2025.
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Bibliography
2025
Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration.
CoRR, August, 2025
CoRR, July, 2025
X-RAFT: Cross-Modal Non-Rigid Registration of Blue and White Light Neurosurgical Hyperspectral Images.
CoRR, July, 2025
Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation.
CoRR, June, 2025
Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging.
CoRR, June, 2025
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023.
CoRR, June, 2025
CoRR, May, 2025
CoRR, March, 2025
2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.
Frontiers Comput. Neurosci., 2024
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations.
CoRR, 2024
R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment.
CoRR, 2024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation.
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024
Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging.
Proceedings of the 35th British Machine Vision Conference, 2024
2023
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency.
Neurocomputing, August, 2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma.
CoRR, 2023
CoRR, 2023
Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.
Int. J. Comput. Assist. Radiol. Surg., 2023
Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
Deep learning approach for hyperspectral image demosaicking, spectral correction and high-resolution RGB reconstruction.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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
Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.
Int. J. Comput. Assist. Radiol. Surg., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.
CoRR, 2019
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019