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. Shirin Abbasinejad Enger and Dr. Stine Korreman
Workshops (Sunday, June 11)
  • Title: Introduction to Classical machine learning (Live Session)
    • Type: Live Session
    • Speaker: TBD
  • 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: TBD
    • Type: Live Session
    • Speakers: TBD
Workshop (Sunday, June 18)
  • Title: Deep Learning : Model training and evaluation
    • Type: Live Session
    • Speaker: TBD
  • 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: TBD
    • Type: Live Session
    • Speakers: TBD
Workshop (Sunday, June 25th)
  • Title: Fully Supervised Medical Image Segmentation
    • Type: Live Session
    • Speakers: TBD
  • 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: TBD
    • Type: Live Session
    • Speakers: TBD
Workshops (Sunday, July 2nd)
  • Title: Transfer learning in medical Imaging
    • Type: Live Session
    • Speaker: TBD
  • 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: Natural Language Processing in Medicine
    • Type: Live Session
    • Speakers: TBD
Workshops (Sunday, July 9th)
  • Title: Self-Supervision
    • Type: Live Session
    • Speakers: TBD
  • 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: TBD
    • Type: Live Session
    • Speakers: TBD
Workshop (Sunday, July 16th)
  • Title: Natural Language Processing
    • Type: Live Session
    • Speakers: TBD
Week 7 (July 22-28): Transformers

Seminar (Saturday, July 22nd)
  • Title: TBD
    • Type: Live Session
    • Speakers: TBD
Workshops (Sunday, July 23rd)
  • Title: Transformers
    • Type: Live Session
    • Speakers: TBD
Week 8 (July 29-August 4): Model Generalizability

Seminar (Saturday July 29th)
  • Title: TBD
    • Type: Live Session
    • Speakers: TBD
Workshop (Sunday July 30th)
  • Title: Model Generalizability
    • Type: Live Session
    • Speakers: TBD
Week 8 (August 5): Closing Ceremony
Seminar (Saturday, August 5th)
  • Title: Closing Remarks
    • Type: Live Session
    • Speakers: TBD
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