Chris McIntosh
Assistant Professor
Develops machine learning and computer vision for healthcare, including radiation therapy planning.
Chris McIntosh's lab at Toronto works on medical imaging & healthcare AI and physics, climate & scientific computing. 66 papers since 2023, 2 at top venues, mostly ECCV and ICCV. 6 PhD students and 1 master's student. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 3%
- PhD students
- 6
- MS students
- 1
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 15 papers2026 · T1 1 · collecting
- 18 papers2025 · T1 1
- 20 papers2024 · T1 0
- 13 papers2023 · T1 0
T1 venuesOtherVenues: ECCV, ICCV, NPJ digital medicine, WACV
Research focuspaper titles that use each topic's words
- therapy11 papers
- Medical imaging & healthcare AI10 papers
- planning8 papers
- Physics, climate & scientific computing0 papers
- healthcare0 papers
Paper list
From the lab homepage.
202615 papers
- The Journal of Thoracic and Cardiovascular Surgery94. Machine Learning-driven Risk Stratification of Ascending Aortic Aneurysms using Aortic Biomechanics is Predictable by Magnetic Resonance Imaging
- ECCV (T1)AlphaRAD: Grounded Zero-Shot Classification in Chest Radiology via $\alpha$-Corrected Binary Cross Entropy and Factorized Latent Supervision (opens in a new tab)
- Journal of Endovascular TherapyDevelopment and Validation of a Deep Learning-Based Segmentation Method for Fenestration Marker and Graft Body Identification in Fenestrated Endovascular Aortic Repair
- Journal of Vascular SurgeryDevelopment and Validation of a Fully Automated Deep Learning-based Tool for Comprehensive Aortic and Branch Vessel Segmentation From CT Angiography
- ESC Heart FailureEvaluating the temporal and sociodemographic generalizability of the emergency heart failure mortality risk grade
- HematologyMachine learning in the prediction of liver iron concentration and iron chelation therapy adjustment
- JACC: Cardiovascular ImagingMachine Learning Model Using Pre-Cancer Therapy Cardiac Magnetic Resonance Images to Predict Cancer Therapy-Related Cardiac Dysfunction
- Radiology: Cardiothoracic ImagingMachine Learning--based Model for Major Adverse Cardiac Event Prediction in Patients with Hypertrophic Cardiomyopathy
- Joint AAPM| COMP Annual Meeting \& ExhibitionMedical Image Synthesis for Expediting the Diagnosis to Treatment Pathway In Radiation Oncology
- Journal of the Canadian Association of GastroenterologyPoster Session I-A181 DEVELOPMENT OF AN IMPLEMENTABLE MULTIMODAL ARTIFICIAL INTELLIGENCE (AI) TOOL TO PREDICT HISTOLOGICAL RESPONSE IN LIVER TRANSPLANT RECIPIENTS WITH REJECTION
- Nature MedicineRemote monitoring of heart failure exacerbations using a smartwatch
- European radiologyReply to the Letter to the Editor: Rethinking the clinical utility of machine learning for CTEPH severity
202518 papers
- Radiotherapy and Oncology2058 Robustness of predictive foundation model features in head and neck cancer
- Radiotherapy and Oncology3304 Outcomes for Human versus Machine Learning Prostate-Only Radiation Therapy Treatment Planning
- American Journal of TransplantationA Confounder Debiasing Method for RCT-Like Comparability Enables Machine Learning-Based Personalization of Living Donor Liver Transplantation Survival Benefit
- Radiotherapy and OncologyAssociation of artificial intelligence-screened interstitial lung disease with radiation pneumonitis in locally advanced non-small cell lung cancer
- Molecular Cancer ResearchCancer genomic alterations and microenvironmental features encode synergistic interactions with disease outcomes
- Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables VIDevelopment of deep learning models for motion artifact mitigation in wearable PPG devices
- Circulation: Heart FailureDevelopments in digital wearable in heart failure and the rationale for the design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET study
- International Conference on Medical Image Computing and Computer-Assisted InterventionEchoingECG: An Electrocardiogram Cross-Modal Model for Echocardiogram Tasks (opens in a new tab)
- Biomedical Physics \& Engineering ExpressEigenU-Net: integrating eigenvalue decomposition of the Hessian into U-Net for 3D coronary artery segmentation
- PLOS ONEExplainable one-class feature extraction by adaptive resonance for anomaly detection in quality assurance
- European Heart Journal SupplementsMachine learning modelling using cardiac magnetic resonance images to predict cancer therapy related cardiac dysfunction with external validation in HER2+ breast cancer patients
- Scientific ReportsMachine learning models using non-invasive tests \& B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease
202420 papers
- Radiotherapy and Oncology255 Predicting patient-level extranodal extension using pre-treatment computed tomography imaging
- Radiotherapy and Oncology98 An open-source foundation for head and neck radiomics
- International Journal of Radiation Oncology* Biology* PhysicsA prospective study of machine learning-assisted radiation therapy planning for patients receiving 54 Gy to the brain
- American Journal of Respiratory and Critical Care MedicineAccuracy of chronic lung allograft dysfunction (CLAD) identification and phenotyping by computed tomography using a novel machine learning algorithm
- International Journal of Radiation Oncology, Biology, PhysicsClinical Outcomes for Standard of Care Machine Learning Prostate Radiotherapy Treatment Planning
- International Journal of Radiation Oncology, Biology, PhysicsDevelopment of Machine Learning Algorithms from Computed Tomography Images to Predict Catastrophic Airway Events in Patients with Cancers in the Aerodigestive Tract
- International Journal of Radiation Oncology, Biology, PhysicsDosimetric Predictors of Radiation Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients with Artificial-Intelligence Screened Interstitial Lung Disease
- International Journal of Radiation Oncology, Biology, PhysicsExternal validation of an artificial intelligence screening tool for interstitial lung disease in patients receiving lung stereotactic ablative radiotherapy
- AAPM Annual Meeting \& ExhibitionFeasibility of Prostate Radiation Therapy Planning on Deep Learning Enhanced Diagnostic CT Imaging
- Journal of the American College of CardiologyHEMODYNAMIC GAIN INDEX: A PROMISING TOOL FOR HEART FAILURE PATIENTS
- HeartIncremental value of machine learning for risk prediction in tetralogy of Fallot
- Analytical ChemistryLipidomic-based approach to 10 s classification of major pediatric brain cancer types with picosecond infrared laser mass spectrometry
202313 papers
- Radiotherapy and Oncology9 Machine Learning Plan Adaptation Improves Quality of Ultra-Hypofractionated Adaptive Radiation Therapy for Prostate Cancer On a 1.5 T MR-Linear Accelerator
- International Journal of Radiation Oncology, Biology, PhysicsA Prospective Study of Machine Learning-Assisted Radiotherapy Planning for Patients Receiving 54 Gy to the Brain
- International Journal of Radiation Oncology, Biology, PhysicsAssociation of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer
- International Journal of Radiation Oncology, Biology, PhysicsClinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy
- JAMA cardiologyComprehensive cardiovascular magnetic resonance tissue characterization and cardiotoxicity in women with breast cancer
- International Conference on Medical Image Computing and Computer-Assisted InterventionCross-task attention network: Improving multi-task learning for medical imaging applications
- AAPM Annual Meeting \& ExhibitionDose Accumulation in Automated Machine Learning Treatment Plan Adaptation for Ultra-Hypofractionated Prostate Adaptive Radiation Therapy Using Magnetic Resonance Image Guidance
- Circulation: Cardiovascular ImagingMachine learning for prediction of adverse cardiovascular events in adults with repaired tetralogy of Fallot using clinical and cardiovascular magnetic resonance imaging variables
- Journal of Medical Imaging and Radiation SciencesMachine Learning Radiotherapy Automated Planning: Transition to an Ultra-hypofractionated Prostate Model
- Cancer Research CommunicationsMulti-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics
- Radiotherapy and OncologyOC-0509 Prospective assessment of AI screening for interstitial lung disease (ILD) in radiotherapy
- Heart RhythmPO-03-226 MACHINE LEARNING IDENTIFIES FEATURES OF ARRHYTHMOGENIC QRS FRAGMENTATION IN HUMAN CARDIOMYOPATHY: IMPLICATIONS FOR IMPROVING AND AUTOMATING RISK STRATIFICATION
Where alumni went4 listed
Apply to TorontoFall 2027
Computer Science MSc/PhD
- Round
- Single round (Dec 1)
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS if applicable
- Fee
- CAD 135
Confirmed on the program page.
Similar labsnearest by research summary
- CNTsinghua
Xuegong Zhang
- Genomics & computational biology
- USNYU
Laure Zanna
- Physics, climate & scientific computing
- GBUCL
Maneesh Sahani
- Probabilistic & causal inference
- GBOxford
Anshul Thakur
- Medical imaging & healthcare AI
- USUW
Su-In Lee
- Medical imaging & healthcare AI
- CHETH Zurich
Gunnar Rätsch
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Torontocloses