Chris McIntosh

Orcid: 0000-0003-1371-1250

According to our database1, Chris McIntosh authored at least 22 papers between 2005 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data.
npj Digit. Medicine, 2024

MEDBind: Unifying Language and Multimodal Medical Data Embeddings.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection.
CoRR, 2022

Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance.
CoRR, 2022

2021
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.
CoRR, 2021

2020
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2016
Contextual Atlas Regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy.
IEEE Trans. Medical Imaging, 2016

2013
Groupwise Conditional Random Forests for Automatic Shape Classification and Contour Quality Assessment in Radiotherapy Planning.
IEEE Trans. Medical Imaging, 2013

Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Globally optimal spinal cord segmentation using a minimal path in high dimensions.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Medial-Based Deformable Models in Nonconvex Shape-Spaces for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2012

2011
Perception-Based Visualization of Manifold-Valued Medical Images Using Distance-Preserving Dimensionality Reduction.
IEEE Trans. Medical Imaging, 2011

Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Evolutionary Deformable Models for Medical Image Segmentation: A Genetic Algorithm Approach to Optimizing Learned, Intuitive, and Localized Medial-based Shape Deformation.
Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011

2009
Optimal Weights for Convex Functionals in Medical Image Segmentation.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2007
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
3D live-wire-based semi-automatic segmentation of medical images.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Physics-based deformable organisms for medical image analysis.
Proceedings of the Medical Imaging 2005: Image Processing, 2005


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