Integrating Machine Learning and Mathematical Computing for Advanced Applications in Medical Imaging
Revolutionizing Medical Imaging with Machine Learning and Mathematical Precision
Virtual (Google Meet)
Mentor Based
Moderate
3 Days
11 -February -2025
5 PM IST
About
This workshop bridges the gap between machine learning and mathematical computing, focusing on their combined applications in medical imaging. Participants will learn to leverage ML algorithms and mathematical tools to analyze, enhance, and interpret medical images effectively. The program offers theoretical insights and hands-on experience with state-of-the-art techniques and real-world medical datasets.
Aim
To equip participants with the knowledge and practical expertise to integrate Machine Learning (ML) and Mathematical Computing for advanced problem-solving and innovation in medical imaging.
Workshop Objectives
- To introduce participants to the fundamentals of machine learning and mathematical computing for medical imaging.
- To train participants in implementing ML algorithms and mathematical techniques for medical image analysis.
- To explore real-world applications of AI in medical diagnostics and treatment planning.
- To address ethical considerations and best practices in AI-driven medical imaging.
- To prepare participants for research and professional roles at the intersection of AI, mathematics, and healthcare.
Workshop Structure
Day 1: Foundations of Mathematical Computing in Medical Imaging
- Session (1 Hour):
- Introduction to Mathematical Computing
- Overview of mathematical concepts: Linear Algebra and Calculus in medical imaging
- Applications of Fourier Transforms in image analysis
- Interactive Q&A and discussion
Day 2: Machine Learning Fundamentals for Medical Imaging
- Session (1 Hour):
- Introduction to Machine Learning in Medical Imaging
- Key algorithms: SVM, k-NN, and Decision Trees
- Case study: Image classification and segmentation
- Q&A and hands-on insights
Day 3: Integrating Mathematical Models with Machine Learning
- Session (1 Hour):
- Combining mathematical computing with ML algorithms
- Real-world applications: Predictive analysis and diagnostics
- Practical challenges and evaluation techniques
- Workshop conclusion and certificate distribution
Participant’s Eligibility
- Biomedical engineers, radiologists, and healthcare professionals
- Data scientists and ML engineers working in healthcare
- Academics and researchers in AI, mathematics, and medical imaging
- Students pursuing careers in biomedical sciences and technology
Important Dates
Registration Ends
2025-02-11
Indian Standard Timing 1:00 pm
Workshop Dates
2025-02-11 to 2025-02-13
Indian Standard Timing 5 PM
Workshop Outcomes
- Mastery of integrating ML and mathematical computing for medical imaging applications
- Proficiency in using ML models and mathematical tools for image analysis and enhancement
- Ability to develop AI-assisted diagnostic solutions for radiology and healthcare
- Understanding of ethical and regulatory considerations in medical AI applications
- Insights into emerging trends and future directions in medical imaging technology
Mentor Profile
Designation: Professor
Affiliation: IIT Roorkee, IIT Roorkee
Dr. Shiv Kumar Verma is a Professor in the Department of Computer Science and
Applications at the Sharda University
he received his Ph.D. Degree in Mathematical Computing from IIT
Roorkee in 2014 and earned his postgraduate from IIT Roorkee in Computer
Applications. Then worked as a Professor in Department of Computer Science
and Applications of Sharda School on Engineering and Technology of Sharda University for one
Years. He/she is having 25 Years of Experience in the field of Mathematics and Computer
Science. Her/his Area of Expertise includes: Machine Learning, Medical Imaging, and
Mathematical Computing.
Fee Structure
Student
INR. 1999
USD. 45
Ph.D. Scholar / Researcher
INR. 2499
USD. 50
Academician / Faculty
INR. 2999
USD. 55
Industry Professional
INR. 4999
USD. 75
List of Currencies
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Medical Imaging Data Scientist
- AI Engineer in Healthcare
- Radiology Informatics Specialist
- Biomedical Researcher focusing on AI and Imaging
- Clinical Data Analyst
Job Opportunities
- AI Developer for Medical Diagnostics
- Imaging Software Engineer
- Healthcare Data Scientist
- Research Scientist in Computational Imaging
- Medical Technology Consultant
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great knowledge about topic.