Jonathan Shapey

Orcid: 0000-0003-0291-348X

According to our database1, Jonathan Shapey authored at least 32 papers between 2019 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration.
CoRR, August, 2025

Label tree semantic losses for rich multi-class medical image segmentation.
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

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

UltraFlwr - An Efficient Federated Medical and Surgical Object Detection Framework.
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

Scribble-Based Interactive Segmentation of Medical Hyperspectral Images.
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

MUTUAL: Towards Holistic Sensing and Inference in the Operating Room.
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

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.
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
Inter Extreme Points Geodesics for Weakly Supervised Segmentation.
CoRR, 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

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

2020
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.
Int. J. Comput. Assist. Radiol. Surg., 2020

Scribble-Based Domain Adaptation via Co-segmentation.
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


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