Chris McIntosh

31 papers A* 1B 2Journal 15Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks.
MICCAI (5)
Yuan Gao, Sangwook Kim, Chris McIntosh
2025 J jnl
EchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks.
CoRR
Yuan Gao, Sangwook Kim, Chris McIntosh
2025 J jnl
Non-invasive liver fibrosis screening on CT images using radiomics.
BMC Medical Imaging
Jay J. Yoo, Khashayar Namdar, Sean Carey, Sandra E. Fischer, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
2025 J jnl
ProbMed: A Probabilistic Framework for Medical Multimodal Binding.
CoRR
Yuan Gao, Sangwook Kim, Jianzhong You, Chris McIntosh
2025 — conf
Treat: A Unified Text-Guided Conditioned Deep Learning Model for Generalized Radiotherapy Treatment Planning.
MICCAI (5)
Sangwook Kim, Yuan Gao, Thomas G. Purdie, Chris McIntosh
2025 J jnl
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning.
CoRR
Jianzhong You, Yuan Gao, Sangwook Kim, Chris McIntosh
2024 — conf
MEDBind: Unifying Language and Multimodal Medical Data Embeddings.
MICCAI (12)
Yuan Gao, Sangwook Kim, David E. Austin, Chris McIntosh
2024 J jnl
MEDBind: Unifying Language and Multimodal Medical Data Embeddings.
CoRR
Yuan Gao, Sangwook Kim, David E. Austin, Chris McIntosh
2024 J jnl
Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy.
CoRR
Sangwook Kim, Aly Khalifa, Thomas G. Purdie, Chris McIntosh
2024 J jnl
Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data.
npj Digit. Medicine
Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic, Tirth Patel, Joe Duhamel, Sonja Kandel, Yasbanoo Moayedi, Michael Brudno, Andrew Hope, Heather J. Ross, Chris McIntosh
2023 J jnl
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications.
CoRR
Sangwook Kim, Thomas G. Purdie, Chris McIntosh
2023 — conf
Cross-Task Attention Network: Improving Multi-task Learning for Medical Imaging Applications.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Sangwook Kim, Thomas G. Purdie, Chris McIntosh
2022 J jnl
A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection.
CoRR
Jay J. Yoo, Khashayar Namdar, Chris McIntosh, Farzad Khalvati, Patrik Rogalla
2022 J jnl
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance.
CoRR
Aly Khalifa, Jeff Winter, Inmaculada Navarro, Chris McIntosh, Thomas G. Purdie
2021 J jnl
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.
CoRR
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, Benjamin Haibe-Kains
2020 — conf
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction.
MICCAI (2)
Osvald Nitski, Sayan Nag, Chris McIntosh, Bo Wang
2016 J jnl
Contextual Atlas Regression Forests: Multiple-Atlas-Based Automated Dose Prediction in Radiation Therapy.
IEEE Trans. Medical Imaging
Chris McIntosh, Thomas G. Purdie
2013 — conf
Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation.
MLMI
Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh
2013 — conf
Globally optimal spinal cord segmentation using a minimal path in high dimensions.
ISBI
Jeremy Kawahara, Chris McIntosh, Roger C. Tam, Ghassan Hamarneh
2013 J jnl
Groupwise Conditional Random Forests for Automatic Shape Classification and Contour Quality Assessment in Radiotherapy Planning.
IEEE Trans. Medical Imaging
Chris McIntosh, Igor Svistoun, Thomas G. Purdie
2012 J jnl
Medial-Based Deformable Models in Nonconvex Shape-Spaces for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Chris McIntosh, Ghassan Hamarneh
2011 A* conf
Convex multi-region probabilistic segmentation with shape prior in the isometric log-ratio transformation space.
ICCV
Shawn Andrews, Chris McIntosh, Ghassan Hamarneh
2011 — ch.
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
Chris McIntosh, Ghassan Hamarneh
2011 J jnl
Perception-Based Visualization of Manifold-Valued Medical Images Using Distance-Preserving Dimensionality Reduction.
IEEE Trans. Medical Imaging
Ghassan Hamarneh, Chris McIntosh, Mark S. Drew
2011 — conf
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths.
HISB
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Roger C. Tam
2009 — conf
Optimal Weights for Convex Functionals in Medical Image Segmentation.
ISVC (1)
Chris McIntosh, Ghassan Hamarneh
2007 — conf
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization.
MICCAI (2)
Chris McIntosh, Ghassan Hamarneh
2006 — conf
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis.
MICCAI (1)
Chris McIntosh, Ghassan Hamarneh
2006 — conf
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis.
CVPR (1)
Chris McIntosh, Ghassan Hamarneh
2005 B conf
3D live-wire-based semi-automatic segmentation of medical images.
Image Processing
Ghassan Hamarneh, Johnson Yang, Chris McIntosh, Morgan Langille
2005 B conf
Physics-based deformable organisms for medical image analysis.
Image Processing
Ghassan Hamarneh, Chris McIntosh