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Chris McIntosh

Showing results (41-50 of 54) with videos related to

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JACC. Cardiovascular Imaging|May 29, 2026
Machine Learning Model Using Pre-Cancer Therapy Cardiac Magnetic Resonance Images to Predict Cancer Therapy-Related Cardiac DysfunctionChristopher Yu, Mohammad Peikari, Dina Labib, et al.
Heart (British Cardiac Society)|December 1, 2023
Incremental value of machine learning for risk prediction in tetralogy of FallotAyako Ishikita, Chris McIntosh, S Lucy Roche, et al.
Analytical Chemistry|January 8, 2024
Lipidomic-Based Approach to 10 s Classification of Major Pediatric Brain Cancer Types with Picosecond Infrared Laser Mass SpectrometryMichael Woolman, Taira Kiyota, Siham A Belgadi, et al.
JACC. Cardiooncology|January 17, 2026
Pretreatment Circulating Vascular Biomarkers Predict Cancer Therapy-Related Cardiac Dysfunction During HER2<sup>+</sup> Breast Cancer TreatmentDakota Gustafson, Priya Mistry, Crizza Ching, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 13, 2018
Vulnerabilities of radiomic signature development: The need for safeguardsMattea L Welch, Chris McIntosh, Benjamin Haibe-Kains, et al.
Nature Medicine|June 4, 2021
Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancerChris McIntosh, Leigh Conroy, Michael C Tjong, et al.
International Journal of Radiation Oncology, Biology, Physics|March 3, 2024
A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the BrainDerek S Tsang, Grace Tsui, Anna T Santiago, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 15, 2025
Association of artificial intelligence-screened interstitial lung disease with radiation pneumonitis in locally advanced non-small cell lung cancerHannah Bacon, Nicholas McNeil, Tirth Patel, et al.
Analytical Chemistry|March 2, 2021
Mass Spectrometry Imaging Reveals a Gradient of Cancer-like Metabolic States in the Vicinity of Cancer Not Seen in Morphometric Margins from MicroscopyMichael Woolman, Lauren Katz, Georgia Gopinath, et al.
Cancer Research Communications|July 3, 2023
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and RadiomicsMichal Kazmierski, Mattea Welch, Sejin Kim, et al.
Pageof 6

Showing results (41-50 of 54) with videos related to

Sort By:
Pageof 6
JACC. Cardiovascular Imaging|May 29, 2026
Machine Learning Model Using Pre-Cancer Therapy Cardiac Magnetic Resonance Images to Predict Cancer Therapy-Related Cardiac DysfunctionChristopher Yu, Mohammad Peikari, Dina Labib, et al.
Heart (British Cardiac Society)|December 1, 2023
Incremental value of machine learning for risk prediction in tetralogy of FallotAyako Ishikita, Chris McIntosh, S Lucy Roche, et al.
Analytical Chemistry|January 8, 2024
Lipidomic-Based Approach to 10 s Classification of Major Pediatric Brain Cancer Types with Picosecond Infrared Laser Mass SpectrometryMichael Woolman, Taira Kiyota, Siham A Belgadi, et al.
JACC. Cardiooncology|January 17, 2026
Pretreatment Circulating Vascular Biomarkers Predict Cancer Therapy-Related Cardiac Dysfunction During HER2<sup>+</sup> Breast Cancer TreatmentDakota Gustafson, Priya Mistry, Crizza Ching, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|November 13, 2018
Vulnerabilities of radiomic signature development: The need for safeguardsMattea L Welch, Chris McIntosh, Benjamin Haibe-Kains, et al.
Nature Medicine|June 4, 2021
Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancerChris McIntosh, Leigh Conroy, Michael C Tjong, et al.
International Journal of Radiation Oncology, Biology, Physics|March 3, 2024
A Prospective Study of Machine Learning-Assisted Radiation Therapy Planning for Patients Receiving 54 Gy to the BrainDerek S Tsang, Grace Tsui, Anna T Santiago, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|September 15, 2025
Association of artificial intelligence-screened interstitial lung disease with radiation pneumonitis in locally advanced non-small cell lung cancerHannah Bacon, Nicholas McNeil, Tirth Patel, et al.
Analytical Chemistry|March 2, 2021
Mass Spectrometry Imaging Reveals a Gradient of Cancer-like Metabolic States in the Vicinity of Cancer Not Seen in Morphometric Margins from MicroscopyMichael Woolman, Lauren Katz, Georgia Gopinath, et al.
Cancer Research Communications|July 3, 2023
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and RadiomicsMichal Kazmierski, Mattea Welch, Sejin Kim, et al.
Pageof 6