Physics-based deformable organisms for medical image analysis. - Ghassan Hamarneh; Chris McIntosh (Image Processing, 2005)

3D live-wire-based semi-automatic segmentation of medical images. - Ghassan Hamarneh; Johnson Yang; Chris McIntosh; Morgan Langille (Image Processing, 2005)

Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis. - Chris McIntosh; Ghassan Hamarneh (CVPR (1), 2006)

Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis. - Chris McIntosh; Ghassan Hamarneh (MICCAI (1), 2006)

Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization. - Chris McIntosh; Ghassan Hamarneh (MICCAI (2), 2007)

Optimal Weights for Convex Functionals in Medical Image Segmentation. - Chris McIntosh; Ghassan Hamarneh (ISVC (1), 2009)

Evolutionary Deformable Models for Medical Image Segmentation: A Genetic Algorithm Approach to Optimizing Learned, Intuitive, and Localized Medial-based Shape Deformation. - Chris McIntosh; Ghassan Hamarneh (Genetic and Evolutionary Computation: Medical Applications, 2011)

Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths. - Chris McIntosh; Ghassan Hamarneh; Matthew Toom; Roger C. Tam (HISB, 2011)

Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space. - Shawn Andrews; Chris McIntosh; Ghassan Hamarneh (ICCV, 2011)

Perception-Based Visualization of Manifold-Valued Medical Images Using Distance-Preserving Dimensionality Reduction. - Ghassan Hamarneh; Chris McIntosh; Mark S. Drew (IEEE Trans. Medical Imaging, 2011)

Medial-Based Deformable Models in Nonconvex Shape-Spaces for Medical Image Segmentation. - Chris McIntosh; Ghassan Hamarneh (IEEE Trans. Medical Imaging, 2012)

Globally optimal spinal cord segmentation using a minimal path in high dimensions. - Jeremy Kawahara; Chris McIntosh; Roger C. Tam; Ghassan Hamarneh (ISBI, 2013)

Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. - Jeremy Kawahara; Chris McIntosh; Roger C. Tam; Ghassan Hamarneh (MLMI, 2013)

Groupwise Conditional Random Forests for Automatic Shape Classification and Contour Quality Assessment in Radiotherapy Planning. - Chris McIntosh; Igor Svistoun; Thomas G. Purdie (IEEE Trans. Medical Imaging, 2013)

Contextual Atlas Regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy. - Chris McIntosh; Thomas G. Purdie (IEEE Trans. Medical Imaging, 2016)

CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction. - Osvald Nitski; Sayan Nag; Chris McIntosh; Bo Wang 044 (MICCAI (2), 2020)

A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data. - Michal Kazmierski; Mattea Welch; Sejin Kim; Chris McIntosh; Katrina Rey-McIntyre; Shao-Hui Huang; Tirth Patel; Tony Tadic; Michael F. Milosevic; Fei-Fei Liu; Andrew Hope; Scott V. Bratman; et al. (CoRR, 2021)

Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance. - Aly Khalifa; Jeff Winter; Inmaculada Navarro; Chris McIntosh; Thomas G. Purdie (CoRR, 2022)

A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection. - Jay J. Yoo; Khashayar Namdar; Chris McIntosh; Farzad Khalvati; Patrik Rogalla (CoRR, 2022)

Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications. - Sangwook Kim; Thomas G. Purdie; Chris McIntosh (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

MEDBind: Unifying Language and Multimodal Medical Data Embeddings. - Yuan Gao; Sangwook Kim; David E. Austin; Chris McIntosh (MICCAI (12), 2024)

Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy. - Sangwook Kim; Aly Khalifa; Thomas G. Purdie; Chris McIntosh (CoRR, 2024)

Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data. - Cathy Ong Ly; Balagopal Unnikrishnan; Tony Tadic; Tirth Patel; Joe Duhamel; Sonja Kandel; Yasbanoo Moayedi; Michael Brudno; Andrew Hope; Heather Ross; Chris McIntosh (npj Digit. Medicine, 2024)

X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning. - Jianzhong You; Yuan Gao; Sangwook Kim; Chris McIntosh (CoRR, 2025)

Non-invasive liver fibrosis screening on CT images using radiomics. - Jay J. Yoo; Khashayar Namdar; Sean Carey; Sandra E. Fischer; Chris McIntosh; Farzad Khalvati; Patrik Rogalla (BMC Medical Imaging, 2025)