McMedHacks – medical image analysis and deep learning in Python
McMedHacks started in 2021 to address common challenges students and researchers experience when they begin to apply deep learning-based approaches to analyze medical imaging. This prompted our team to organize a summer school to help kick start research projects involving medical imaging analysis and deep learning.
Our mission is to provide researchers new to the field with the fundamentals of medical image analysis and deep learning and accelerate research in medical imaging analysis.
The Program
The workshop series consists of weekly keynotes and interactive workshops. Leading researchers in medical image analysis and deep learning, industrial partners, and clinicians will present their cutting-edge research to inspire and motivate students for the complimentary workshops. Our current or alumni students with research expertise in deep learning and medical image analysis will instruct our interactive workshops.
Each technical session is delivered as an interactive introduction to a deep learning or image analysis concept followed by hands-on activities.
Participation in McMedHacks is free of charge for students and participants from low and middle income countries. The program is entirely online, recorded, and made publicly available for participants.
All computations are performed in Google Colab, which allows anyone with internet access to perform complex computations on their machines regardless of hardware specifications.
McMedHacks 2022 Statistics
McMedHacks 2022 attracted 1000+ registrations from 62 countries!
With levels of educations:
From fields of studies and domains:
They heard about McMedHacks through:
Our 2021 McMedHacks Workshop Participants
In its first edition in 2021, McMedHacks gained 356 registrations from participants of 38 different countries from undergraduates, to PhDs and MDs. A vast number of disciplines and professions were represented, dominated by medical physics students, academic, and clinical medical physicists. The program received high participant feedback average scores of 4.768, 4.478, 4.579, 4.292, 4.84 out of five for the qualities of presentation, workshop session, tutorial and mentor, assignments, and course delivery, respectively.
McMedHacks 2021 attracted 356 registrations from 38+ countries
With various levels of education
From fields of studies and domains: