Oscar MacCormac

According to our database, Oscar MacCormac authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

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

Junwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren

CoRR, July, 2025

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation.

Junwen Wang, Oscar MacCormac, William Rochford, Aaron Kujawa, Jonathan Shapey, Tom Vercauteren

CoRR, June, 2025

2024

OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations.

Junwen Wang, Zhonghao Wang, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren

CoRR, 2024

Scribble-Based Interactive Segmentation of Medical Hyperspectral Images.

Zhonghao Wang, Junwen Wang, Charlie Budd, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren

CoRR, 2024

R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment.

Julien Quarez, Matthew Elliot, Oscar MacCormac, Nawal Khan, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados

CoRR, 2024

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

Julien Quarez, Yang Li, Hassna Irzan, Matthew Elliot, Oscar MacCormac, James Knigth, Martin Huber, Toktam Mahmoodi, Prokar Dasgupta, Sébastien Ourselin, Nicholas Raison, Jonathan Shapey, Alejandro Granados

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.

Mahrukh Saeed, Julien Quarez, Hassna Irzan, Bava Kesavan, Matthew Elliot, Oscar MacCormac, James Knight, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados

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.

Peichao Li, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Spatial gradient consistency for unsupervised learning of hyperspectral demosaicking: application to surgical imaging.

Peichao Li, Muhammad Asad, Conor C. Horgan, Oscar MacCormac, Jonathan Shapey, Tom Vercauteren

Int. J. Comput. Assist. Radiol. Surg., 2023

Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing.

Charlie Budd, Jianrong Qiu, Oscar MacCormac, Martin Huber, Christopher E. Mower, Mirek Janatka, Théo Trotouin, Jonathan Shapey, Mads S. Bergholt, Tom Vercauteren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023