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Chris McIntosh
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2020 – today
- 2024
- [j5]Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel
, Joe Duhamel
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. npj Digit. Medicine 7(1) (2024) - [c13]Yuan Gao, Sangwook Kim, David E. Austin, Chris McIntosh:
MEDBind: Unifying Language and Multimodal Medical Data Embeddings. MICCAI (12) 2024: 218-228 - [i5]Yuan Gao, Sangwook Kim, David E. Austin, Chris McIntosh:
MEDBind: Unifying Language and Multimodal Medical Data Embeddings. CoRR abs/2403.12894 (2024) - 2023
- [c12]Sangwook Kim
Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 119-128 - [i4]Sangwook Kim, Thomas G. Purdie, Chris McIntosh:
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications. CoRR abs/2309.03837 (2023) - 2022
- [i3]Aly Khalifa, Jeff Winter, Inmaculada Navarro, Chris McIntosh
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance. CoRR abs/2203.03576 (2022) - [i2]Jay J. Yoo, Khashayar Namdar, Chris McIntosh
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection. CoRR abs/2211.14396 (2022) - 2021
- [i1]Michal Kazmierski, Mattea Welch, Sejin Kim, Chris McIntosh
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. CoRR abs/2101.11935 (2021) - 2020
- [c11]Osvald Nitski
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction. MICCAI (2) 2020: 421-430
2010 – 2019
- 2016
- [j4]Chris McIntosh
Contextual Atlas Regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy. IEEE Trans. Medical Imaging 35(4): 1000-1012 (2016) - 2013
- [j3]Chris McIntosh
Groupwise Conditional Random Forests for Automatic Shape Classification and Contour Quality Assessment in Radiotherapy Planning. IEEE Trans. Medical Imaging 32(6): 1043-1057 (2013) - [c10]Jeremy Kawahara, Chris McIntosh
Globally optimal spinal cord segmentation using a minimal path in high dimensions. ISBI 2013: 848-851 - [c9]Jeremy Kawahara, Chris McIntosh
Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. MLMI 2013: 211-218 - 2012
- [j2]Chris McIntosh
Medial-Based Deformable Models in Nonconvex Shape-Spaces for Medical Image Segmentation. IEEE Trans. Medical Imaging 31(1): 33-50 (2012) - 2011
- [j1]Ghassan Hamarneh
Perception-Based Visualization of Manifold-Valued Medical Images Using Distance-Preserving Dimensionality Reduction. IEEE Trans. Medical Imaging 30(7): 1314-1327 (2011) - [c8]Chris McIntosh
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths. HISB 2011: 25-31 - [c7]Shawn Andrews, Chris McIntosh
Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space. ICCV 2011: 2096-2103 - [p1]Chris McIntosh, Ghassan Hamarneh:
Evolutionary Deformable Models for Medical Image Segmentation: A Genetic Algorithm Approach to Optimizing Learned, Intuitive, and Localized Medial-based Shape Deformation. Genetic and Evolutionary Computation: Medical Applications 2011
2000 – 2009
- 2009
- [c6]Chris McIntosh
Optimal Weights for Convex Functionals in Medical Image Segmentation. ISVC (1) 2009: 1079-1088 - 2007
- [c5]Chris McIntosh
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization. MICCAI (2) 2007: 503-510 - 2006
- [c4]Chris McIntosh
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis. CVPR (1) 2006: 1084-1091 - [c3]Chris McIntosh
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis. MICCAI (1) 2006: 808-815 - 2005
- [c2]Ghassan Hamarneh
Physics-based deformable organisms for medical image analysis. Medical Imaging: Image Processing 2005 - [c1]Ghassan Hamarneh
3D live-wire-based semi-automatic segmentation of medical images. Medical Imaging: Image Processing 2005
Coauthor Index
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