Program 2023

McMedHacks 2023 Program
(10:30 AM – 12:30 PM Eastern Daylight Time of the following dates)

Week 0 (June 5-9): Prep Week
  • Title: Introduction to Python
    • Type: Self-Learning Module
  • Title: Object-Oriented Programming with Python
    • Type: Self-Learning Module
  • Title: Scientific Programming with Python
    • Type: Self-Learning Module
Week 1 (June 10-16): Introduction to Classical Machine Learning
Seminar (Saturday, June 10)
  • Title: Opening Ceremony
    • Type: Live Session
    • Speakers: Dr. Farhad Maleki & Dr. Stine Korreman
Workshops (Sunday, June 11)
  • Title: Introduction to Classical Machine Learning
    • Type: Live Session
    • Speaker: Dr. Zahra Azizi, MD, MSc
  • Title: Classical Machine Learning: A Case Study Gradient Boosting Machine
    • Type: Self Learning Module
  • Title: Introduction to Image Processing: Image IO and Image Transformations
    • Type: Self Learning Module
Week 2 (June 17-23): Deep Learning Fundamentals for Image Processing

Seminar (Saturday, June 17)
  • Title: Novel Technologies for the Advancement of Precision Oncology
    • Type: Live Session
    • Speakers: Dr. Shirin Abbasinejad Enger & Dr. Kostas Trakas
Workshop (Sunday, June 18)
  • Title: Deep Learning Fundamentals
    • Type: Live Session
    • Speaker: Dr. Parsa Bagherzadeh
  • Title: Fundamentals of Image (Pre-)Processing: Quality Assurance Prior to Deep Learning Model Training
    • Type: Self Learning Module
Week 3 (June 24-30): Deep Learning Segmentation

Seminar (Saturday, June 24th)
  • Title: Co-Design and Data Sharing with a Patient Portal to Facilitate AI Research in Healthcare
    • Type: Live Session
    • Speakers: Dr. John Kildea
Workshop (Sunday, June 25th)
  • Title: Fully Supervised Medical Image Segmentation
    • Type: Live Session
    • Speakers: Dr. Pouria Rouzrokh
  • Title: Deep Learning Framework (PyTorch): Tensors and Autograd
    • Type: Self Learning Module
Week 4 (July 1-7): Transfer Learning for Medical Imaging

Seminar (Saturday, July 1st)
  • Title: Generative Models: The Case of Variational Auto-Encoders
    • Type: Live Session
    • Speakers: Dr. Mohammad Havaei
Workshops (Sunday, July 2nd)
  • Title: Transfer Learning in Medical Imaging
    • Type: Live Session
    • Speaker: Dr. Bardia Khosravi
  • Title: Deep learning Framework (PyTorch): Implement Your Own Image Classifier
    • Type: Self Learning Module
  • Title: Deep Learning Framework (PyTorch): Transfer Learning for Designing Your Own Image Classifier
    • Type: Self Learning Module
Week 5 (July 8-14): Self-Supervision

Seminar (Saturday, July 8th)
  • Title: NLP Buy vs Build in a Post-ChatGPT World
    • Type: Live Session
    • Speakers: Dr. Roy Keyes
Workshops (Sunday, July 9th)
  • Title: Self-Supervision
    • Type: Live Session
    • Speakers: Dr. Najeeb Khan
  • Title: Deep Learning Framework (PyTorch): Tensorboard & Pytorch Lightning (extra resources)
    • Type: Self Learning Module
Week 6 (July 15-21): Introduction to Natural Language Processing (NLP)

Seminar (Saturday, July 15th)
  • Title: Deep Learning-Based Auto-Segmentation of Organs at Risk in Cranial Spinal Irradiation of Pediatric Patients
    • Type: Live Session
    • Speakers: Dr. James Tsui
Workshop (Sunday, July 16th)
  • Title: Natural Language Processing
    • Type: Live Session
    • Speakers: Dr. Parsa Bagherzadeh
Week 7 (July 22-28): Transformers

Seminar (Saturday, July 22nd)
  • Title: An Approach for Sustainable AI Ecosystem for Medical Imaging in Resource Limited Settings & Medical Decision Transformers
    • Type: Live Session
    • Speakers: Dr. Udunna Anazodo & Dr. Samira Ebrahimi Kahou
Workshops (Sunday, July 23rd)
  • Title: Transformers
    • Type: Live Session
    • Speakers: Dr. Parsa Bagherzadeh
Week 8 (July 29-August 4): Model Generalizability

Seminar (Saturday July 29th)
  • Title: Translating Radiomics from a Research Topic Into Actionable Insights for Solid Tumor Care
    • Type: Live Session
    • Speakers: Dr. Wim Vos & Dr. Leonard Wee
Workshop (Sunday July 30th)
  • Title: Model Generalizability
    • Type: Live Session
    • Speakers: Dr. Laya Rafiee
Week 8 (August 5): Closing Ceremony
Seminar (Saturday, August 5th)
  • Title: Deep Learning in Cancer Radiation Therapy & Closing Remarks
    • Type: Live Session
    • Speakers: Dr. Xun Jia & Dr. Du Hao
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