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Home > IGCT > IGCT_SEMINARS

IGCT Seminars

IGCT Seminars

 

The Image Guided Cancer Therapy (IGCT) Research Program empowers multidisciplinary teams of physicians and scientists to address the clinical challenges and technology barriers using resources of the program to drive the translation of innovative science directly to patient care.

Seminar: Sessions designed to discuss scientific advancements in image guided cancer therapy

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  • Advancing X-Ray Imaging for Radiotherapy: From Spectral Capabilities to Clinical Integration by Thomas C. Harris, Dianne Ferguson, and Yue-Houng Hu

    Advancing X-Ray Imaging for Radiotherapy: From Spectral Capabilities to Clinical Integration

    October 27, 2025

    Thomas C. Harris, PhD
    Instructor, Radiation Oncology, Harvard University; Medical Physicist, Brigham and Women’s Hospital and Dana-Farber Cancer Institute

    Dianne Ferguson, PhD
    Instructor, Radiation Oncology, Harvard University; Medical Physicist, Mass General Brigham

    Yue-Houng Hu, PhD
    Instructor, Radiation Oncology, Harvard University; Medical Physicist, Brigham and Women’s Hospital and Dana-Farber Cancer Institute

  • Image Guided Cancer Therapy T32 Program Trainee Research Presentations” by Noreen Siddiqi MD and Ivan Coronado PhD

    Image Guided Cancer Therapy T32 Program Trainee Research Presentations”

    September 25, 2025

    Noreen Siddiqi, MD
    IGCT T32 Postdoctoral Fellow Department of Interventional Radiology, MD Anderson Cancer Center

    Ivan Coronado, PhD
    IGCT T32 Postdoctoral Fellow Department of Imaging Physics, MD Anderson Cancer Center

  • 2025 IGCT/III Summer Student Showcase by Farbod Khalaj, Eleni Bakatsas, Chimamanda Santos-Obi, Joshua Pan, Ben McKinley, Olivia O’Driscoll, Horacio Hamkins, Amanda Nowacki, Jeddy Bennett, and Andrew Tan

    2025 IGCT/III Summer Student Showcase

    August 04, 2025

    MD Anderson Summer Students

  • Radiation Oncology & Data Science: Successes, Failures, and Lessons Learned by Brian Anderson PhD

    Radiation Oncology & Data Science: Successes, Failures, and Lessons Learned

    June 10, 2025

    Brian Anderson, PhD
    Assistant Professor of Medical Physics, Department of Radiation Medicine and Applied Sciences University of California, San Diego

  • AI-Enabled Systems in Medical Imaging: Regulatory Pathways and Innovations by Kyle Myers PhD

    AI-Enabled Systems in Medical Imaging: Regulatory Pathways and Innovations

    June 4, 2025

    Kyle J. Myers, PhD
    Puente Solutions LLC Fellow, Hagler Institute of Advanced Studies, Biomedical Engineering at Texas A&M University

  • Computer Vision in Healthcare – From Diagnostics to Intraoperative Applications by Sharib Ali PhD

    Computer Vision in Healthcare – From Diagnostics to Intraoperative Applications

    April 25, 2025

    Sharib Ali, PhD
    Assistant Professor, School of Computer Science, University of Leeds

  • 2024 IDBT Shark Tank Awardees: New Data-Driven Gated PET/CT and Its Impact on Cancer Patient Care by Tinsu Pan PhD; Yang Lu MD, PhD; Zhongxing Liao MD; and Ravi Rajaram MD, MSc

    2024 IDBT Shark Tank Awardees: New Data-Driven Gated PET/CT and Its Impact on Cancer Patient Care

    March 06, 2025

    Tinsu Pan, PhD
    Professor, Department of Imaging Physics, MD Anderson Cancer Center

    Yang Lu, MD, PhD
    Professor, Department of Nuclear Medicine, MD Anderson Cancer Center

    Zhongxing Liao, MD
    Professor, Department of Radiation Oncology MD Anderson Cancer Center

    Ravi Rajaram, MD, MSC
    Assistant Professor, Department of Thoracic and Cardiovascular Surgery, MD Anderson Cancer Center

  • Bridging the Gap: Transforming Innovations into Fundable Startups by Laura Hilty

    Bridging the Gap: Transforming Innovations into Fundable Startups

    February 27, 2025

    Laura Hilty
    Principal, HealthX Ventures

  • Shortcuts Causing Bias in Medical AI by Judy W. Gichoya MD, MS

    Shortcuts Causing Bias in Medical AI

    January 27, 2025

    Judy W. Gichoya, MD, MS
    Associate Professor of Interventional Radiology, Department of Radiology at Emory University

  • Establishing Robust Computational Frameworks to Integrate Biomechanics into the Clinic Setting of Vascular Disease by Lucas A. Timmins PhD

    Establishing Robust Computational Frameworks to Integrate Biomechanics into the Clinic Setting of Vascular Disease

    December 19, 2024

    Lucas H. Timmins, PhD
    Associate Professor, Department of Biomedical Engineering at Texas A&M University

  • Image Guided Cancer Therapy T32 Program Postdoctoral Fellow Research Presentations by Brigid McDonald PhD, Kareem Wahid PhD, and Noreen Siddiqi MD

    Image Guided Cancer Therapy T32 Program Postdoctoral Fellow Research Presentations

    November 04, 2024

    "Technical Development Towards Biological Image-Guided Adaptive Radiation Therapy with Diffusion Weighted MRI in Head and Neck Cancers"
    Brigid McDonald, PhD - IGCT T32 Alumnus, Department of Radiation Oncology, MD Anderson Cancer Center (Mentor: C. Dave Fuller, MD, PhD)

    “Evolving Horizons in Radiotherapy Auto-Contouring: Insights from Hosting an International Data Science Competition”
    Kareem Wahid, PhD - IGCT T32 Fellow, Department of Imaging Physics, MD Anderson Cancer Center (Mentor: David Fuentes, PhD)

    “Practical Application of an Ablation Confirmation Software in the Treatment of Colorectal Liver Metastasis”
    Noreen Siddiqi, MD - IGCT T32 Fellow, Department of Interventional Radiology, MD Anderson Cancer Center (Mentor: Bruno Odisio, MD)

  • Transforming Cancer Care: NCIGT’s Trailblazing Journey in Image-Guided Therapy for Prostate Cancer by Clare M. Tempany MD

    Transforming Cancer Care: NCIGT’s Trailblazing Journey in Image-Guided Therapy for Prostate Cancer

    May 09, 2024

    Clare M. Tempany, MD
    Center Director, National Center for Image Guided Therapies. Vice-Chair of Radiology Research at Brigham & Women’s Hospital; Ferenc Jolesz, MD Professor of Radiology at Harvard Medical School

  • The Image Guided Cancer Therapy Research Program together with the CCSG Imaging-Driven Biologically-Informed Therapy Program Seminar Series, April 29, 2024 by Rebecca Morrison PhD

    The Image Guided Cancer Therapy Research Program together with the CCSG Imaging-Driven Biologically-Informed Therapy Program Seminar Series, April 29, 2024

    April 29, 2024

    Rebecca Morrison, PhD
    /="/">Assistant Professor, Department of Computer Science at University of Colorado - Boulder

  • New Developments in MRI Simulation for Radiotherapy Treatment Planning by Jessica Scholey PhD

    New Developments in MRI Simulation for Radiotherapy Treatment Planning

    February 12, 2024

    Jessica Scholey, PhD
    /="/">Assistant Professor, Department of Radiation Oncology; Physics Director, MR Simulation Program at University of California San Francisco

  • From Bench to Bedside: Surgical Margin Assessment using Machine Learning and Mass Spectrometry by Parvin Mousavi PhD

    From Bench to Bedside: Surgical Margin Assessment using Machine Learning and Mass Spectrometry

    December 08, 2023

    Parvin Mousavi, PhD
    /="/">Professor, Department of Electrical and Computer Engineering at Queen’s University

  • Image Guided Cancer Therapy T32 Program Postdoctoral Fellow Research Presentations by Brigid McDonald PhD, Kareem Wahid PhD, and Alexander Shieh MD

    Image Guided Cancer Therapy T32 Program Postdoctoral Fellow Research Presentations

    November 09, 2023

    “Diffusion-Weighted MRI for Treatment Response Assessment in Head & Neck Cancers"
    /="/">Brigid McDonald, PhD - IGCT T32 Fellow, Department of Radiation Oncology, MD Anderson Cancer Center (Mentor: C. Dave Fuller, MD, PhD)

    “Towards Clinically Relevant Uncertainty Quantification in Automated Radiotherapy Segmentation"
    /="/">Kareem Wahid, PhD -
    IGCT T32 Fellow, Department of Imaging Physics, MD Anderson Cancer Center (Mentor: David Fuentes, PhD)

    "Challenges of Curating Evidence for Interventional Radiology Research: Examples from Liver Metastasis of Pancreatic Cancer and Hepatocellular Carcinoma"
    /="/">Alexander Shieh, MD -
    IGCT T32 Fellow, Department of Interventional Radiology, MD Anderson Cancer Center (Mentor: Bruno Odisio, MD)

  • Hybrid Detector Systems for Neuro Interventions by Ke Li PhD

    Hybrid Detector Systems for Neuro Interventions

    October 05, 2023

    Ke Li, PhD
    /="/">Associate Professor, Medical Physics and Radiology at University of Wisconsin - Madison

  • Optical Imaging for Early Detection of Oral Cancer in Medically Under-Served Communities by Ann M. Gillenwater MD and Rebecca R. Richards-Kortum PhD

    Optical Imaging for Early Detection of Oral Cancer in Medically Under-Served Communities

    September 07, 2023

    Ann M. Gillenwater, MD
    /="/">Professor, Department of Head & Neck Surgery, MD Anderson Cancer Center

    Rebecca R. Richards-Kortum, PhD
    /="/">Professor, Department of Bioengineering, Rice University

  • From Pathology to Radiology: Bridging the Gap Using Artificial Intelligence by Mirabela Rusu PhD

    From Pathology to Radiology: Bridging the Gap Using Artificial Intelligence

    June 05, 2023

    Mirabela Rusu, PhD
    /="/">Assistant Professor,
    Department of Radiology; Director, Personalized Integrative Medicine Laboratory at Stanford University

  • Data-Driven Predictive Modeling for Personalized Oncology by Heiko Enderling PhD, FSMB

    Data-Driven Predictive Modeling for Personalized Oncology

    May 02, 2023

    Heiko Enderling, PhD, FSMB
    /="/">Senior Member,
    Integrated Mathematical Oncology, Moffitt Cancer Center

  • Mathematical Modeling of Biological Systems for Oncology Applications: From Basic Science to Clinically Translatable Methods by Joseph D. Butner PhD

    Mathematical Modeling of Biological Systems for Oncology Applications: From Basic Science to Clinically Translatable Methods

    April 13, 2023

    Joseph D. Butner, PhD
    /="/">Faculty Fellow,
    Mathematics in Medicine Program at Research Institute at Houston Methodist

  • Exploring New Treatment Planning Paradigms Using Machine Learning by Thomas G. Purdie PhD

    Exploring New Treatment Planning Paradigms Using Machine Learning

    February 24, 2023

    Thomas G. Purdie PhD
    Associate Professor, Departments of Radiation Oncology and Medical Biophysics at University of Toronto; Medical Physicist, Princess Margaret Cancer Centre - University Health Network

  • At the Intersection of AI and Ethics: How do we Engage the Public? by Jodyn E. Platt MPH, PhD

    At the Intersection of AI and Ethics: How do we Engage the Public?

    December 07, 2022

    Jodyn E. Platt, MPH, PhD
    /="/">Associate Professor, Learning Health Sciences at University of Michigan Medical School

  • Radiation-Therapy Related Cardiac Disease in Childhood Cancer Survivors by Rebecca Howell PhD

    Radiation-Therapy Related Cardiac Disease in Childhood Cancer Survivors

    November 18, 2022

    Rebecca Howell, PhD
    /="/"> Professor, Radiation Physics; Director, Medical Physics Graduate Program at MD Anderson Cancer Center

  • Image-Guided, Robot-Assisted Surgery: From High-Precision to High-Reliability by Jeffrey H. Siewerdsen PhD

    Image-Guided, Robot-Assisted Surgery: From High-Precision to High-Reliability

    October 19, 2022

    Jeffrey H. Siewerdsen, PhD
    Professor, Departments of Imaging Physics, Neurosurgery, and Radiation Physics; Director of the Surgical Data Science Program, Institute for Data Science in Oncology (IDSO) at MD Anderson Cancer Center

 
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