Machine Learning in Neuroimaging

Training Overview

Machine Learning in Neuroimaging Training is an advanced, practice-oriented educational program developed for neurologists, radiologists, data scientists, and imaging researchers who aim to integrate artificial intelligence into neuroimaging workflows. This two-day course offers a comprehensive understanding of how machine learning (ML) and deep learning (DL) techniques can be applied to neuroimaging modalities such as MRI, CT, and PET for improved diagnosis, segmentation, and prediction of neurological diseases.

The program begins with foundational sessions covering neuroimaging principles, data preprocessing, and machine learning fundamentals, including supervised and unsupervised methods. Participants then progress to deep learning concepts such as convolutional neural networks (CNNs), feature extraction, and model optimization tailored to brain imaging datasets.

Through simulation-based training, participants engage in interactive coding and image analysis sessions using real-world neuroimaging data. They will build and evaluate predictive models for applications like brain tumor detection, Alzheimer’s classification, lesion segmentation, and functional connectivity mapping under expert guidance.

Hands-on workshops provide experience with key tools such as Python, TensorFlow, PyTorch, and medical imaging libraries, enabling participants to handle the entire workflow—from data cleaning to visualization and model deployment. Case-based discussions bridge clinical relevance and computational techniques, helping participants understand the translational impact of AI in neuroimaging diagnostics and research.

By the end of the training, participants will have the technical and analytical competence to independently develop, validate, and interpret machine learning models in neuroimaging, fostering collaboration between clinical experts and data scientists.

Target Audience

• Neurologists and Neuroradiologists

• Imaging Scientists and Data Analysts

• AI Researchers and Engineers

• Medical Physicists

• Postgraduate Students in Neuroscience or Biomedical Engineering

Training Specifics

Training Name: Machine Learning in Neuroimaging Training

Duration: 2 full days

Language: English

Simulation Lab: AI-based neuroimaging analysis and model development simulation

Assessment Type: Quiz

Certificate: Certificate of Completion & CME Credits

Venue: ADN CoE Training, Research Center & Core Lab

Additional Benefits

• Hands-On Simulation: Develop, train, and evaluate machine learning models using real neuroimaging datasets.

• AI Workflow Integration: Learn how to integrate ML pipelines into neuroimaging data analysis and clinical workflows.

• Case-Based Applications: Apply ML techniques to real-world cases, including brain tumor, stroke, and neurodegenerative diseases.

• Expert Guidance: Receive mentorship from AI and neuroimaging specialists experienced in translational research.

• Collaborative Learning: Work in interdisciplinary teams bridging clinical and computational expertise.

• Professional Recognition: Earn a certificate demonstrating proficiency in applied AI for neuroimaging.

• Networking Opportunities: Connect with professionals and researchers advancing the field of AI in medical imaging.

Key Benefits

• Comprehensive understanding of ML and DL techniques for neuroimaging applications.

• Practical experience in AI-driven image analysis and model building.

• Improved diagnostic and research capabilities through automated imaging analytics.

• Enhanced collaboration between clinical and computational domains.

• Certification of advanced skills in machine learning for neuroimaging innovation.

Ethical and Educational Standards

All ADN CoE training programs are designed in compliance with ethical, animal-free, and environmentally responsible education policies, ensuring clinical excellence and sustainability. For inquiries regarding accreditation or ethical compliance, contact trainings@adncoe.com.

Logistics and Additional Information

Transfer Services

Participants using ADN CoE accommodation and transfer options should adhere to the scheduled pick-up and drop-off times, which were shared before the training.

International Participants

Ensure your passport and visa are valid before travel. For invitation letters or official documentation, contact trainings@adncoe.com at least 4 weeks before the course start date. Information on nearby hotels, transport, and COVID-19 regulations will be provided before the event.

Attire

Business casual attire is recommended. Surgical scrubs and personal protective equipment will be provided for cadaver lab sessions. Please note: ADN CoE is a non-smoking, green-certified facility.

Health & Safety

Our venues comply with the highest safety and hygiene standards. Participants will receive orientation on fire, emergency, and biosafety protocols.

Transfer of Registration

Participants may transfer their registration to another individual from the same institution with prior written approval from ADN CoE, provided the request is made at least 10 days before the course start date.

Course Postponement or Cancellation

ADN CoE reserves the right to postpone or cancel the course due to unforeseen circumstances.

In case of cancellation by ADN CoE, participants will receive a full refund or the option to transfer to a future course date.

Non-Transferable Fees

Payment made for the course is non-transferable to other courses or services unless otherwise approved by ADN CoE.

Faculty Disclosure and Conflict of Interest 

All faculty members and proctors involved in this training disclose any financial or commercial interests. We maintain a strict policy of no conflict of interest with device companies, sponsors, or participants, ensuring unbiased and independent education.

Content Independence 

The educational content is developed based solely on the latest scientific evidence and clinical best practices. No product promotion or commercial advertising is included in our training materials.

Evaluation and Feedback 

We value your input. At the end of the course, you will be invited to complete a feedback survey and a knowledge assessment quiz. Your responses help us continually improve the training experience.

Quality Assurance 

Our training materials and curriculum are regularly reviewed and updated to reflect the most current research and technological advances in the field.

Sponsorship Transparency 

Any sponsorship or funding received for this course is disclosed upfront. We ensure that sponsors do not influence the content or delivery of the training.

Data Protection and Patient Confidentiality 

We strictly protect the privacy of all participants and uphold the highest standards of confidentiality regarding patient information shared during the training, in accordance with applicable data protection laws.

Accessibility and Inclusiveness 

We strive to make our training accessible to all participants. Language support and accommodations for disabilities are available upon request to ensure an inclusive learning environment.

If you have any questions about these policies or require assistance, please contact us at trainings@adncoe.com.

Please note that our trainings are specialized procedural trainings provided by ADN CoE. They are independent of any other training offered by relevant device companies.