Computer Vision & Medical Imaging: From Classical Methods to Deep Learning
From 68 C$ /h
Interested in Computer Vision and Medical AI? This course will help you build a solid understanding of modern computer vision techniques and their real-world applications.
In this course, you will learn:
* Image processing fundamentals
* Convolutional Neural Networks (CNNs)
* Vision Transformers (ViTs) and modern deep learning models
* Image classification, object detection, and image segmentation
* Medical image analysis and AI applications in healthcare
* Explainable AI (XAI) for trustworthy and interpretable models
The course can be tailored to your background, whether you're preparing for university exams, working on a research project, or looking to deepen your knowledge of computer vision and medical imaging.
Feel free to contact me if you have any questions. I look forward to helping you achieve your learning goals!
In this course, you will learn:
* Image processing fundamentals
* Convolutional Neural Networks (CNNs)
* Vision Transformers (ViTs) and modern deep learning models
* Image classification, object detection, and image segmentation
* Medical image analysis and AI applications in healthcare
* Explainable AI (XAI) for trustworthy and interpretable models
The course can be tailored to your background, whether you're preparing for university exams, working on a research project, or looking to deepen your knowledge of computer vision and medical imaging.
Feel free to contact me if you have any questions. I look forward to helping you achieve your learning goals!
Location
Online from Austria
About Me
Hi! I'm Negar, a PhD student at the Medical University of Vienna with a background in Computer Science, Artificial Intelligence, and Machine Learning.
I hold a Master’s degree from the Technical University of Vienna, where I specialized in Computer Vision and Robotics research. I also worked for two years as a Machine Learning Engineer, focusing on Large Language Models (LLMs), prompt engineering, and AI applications.
I have experience teaching students at both high school and university levels, including courses in Algorithms, Artificial Intelligence, Computer Vision, and Programming. My goal is to make challenging topics easy to understand through clear explanations, practical examples, and personalized guidance.
Whether you need help with programming, algorithms, machine learning, AI, or computer vision, I can help you build confidence, improve your skills, and achieve your academic or professional goals.
I hold a Master’s degree from the Technical University of Vienna, where I specialized in Computer Vision and Robotics research. I also worked for two years as a Machine Learning Engineer, focusing on Large Language Models (LLMs), prompt engineering, and AI applications.
I have experience teaching students at both high school and university levels, including courses in Algorithms, Artificial Intelligence, Computer Vision, and Programming. My goal is to make challenging topics easy to understand through clear explanations, practical examples, and personalized guidance.
Whether you need help with programming, algorithms, machine learning, AI, or computer vision, I can help you build confidence, improve your skills, and achieve your academic or professional goals.
Education
- PhD: Medical Imaging, Medical University of Vienna
- MSc: Logic and Computation, Technical University of Vienna
- B.Sc. Computer Science (Artificial Intelligence), Ferdowsi University of Mashhad
- MSc: Logic and Computation, Technical University of Vienna
- B.Sc. Computer Science (Artificial Intelligence), Ferdowsi University of Mashhad
Experience / Qualifications
- Teaching Assistant for
Algorithms Design, Artificial Intelligence, Computer Vision, Machine Vision, and Machine & Language Theory.
- Experience in
Machine Learning, Deep Learning, Computer Vision, Medical Imaging, NLP, Robotics, Explainable AI (XAI), and Vision-Language Models (VLMs).
- Machine Learning Engineer experience specializing in
Large Language Models (LLMs), Foundation Models, Prompt Engineering, GPT models, AI APIs, and AI-powered applications.
Algorithms Design, Artificial Intelligence, Computer Vision, Machine Vision, and Machine & Language Theory.
- Experience in
Machine Learning, Deep Learning, Computer Vision, Medical Imaging, NLP, Robotics, Explainable AI (XAI), and Vision-Language Models (VLMs).
- Machine Learning Engineer experience specializing in
Large Language Models (LLMs), Foundation Models, Prompt Engineering, GPT models, AI APIs, and AI-powered applications.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
English
Persian
Skills
Reviews
Availability of a typical week
(GMT -04:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This course is to teach physics and Mathematics and help students preparing for their exams.
I have been tutoring math for 1 year now, and have worked closely with students age between 7-18 in helping them with their math or physics classes.
If you have any further questions, please don't hesitate to message me.
Looking forward to hearing from you!
I have been tutoring math for 1 year now, and have worked closely with students age between 7-18 in helping them with their math or physics classes.
If you have any further questions, please don't hesitate to message me.
Looking forward to hearing from you!
Are you interested in learning programming, Artificial Intelligence, or Machine Learning but don't know where to start? I offer personalized lessons designed for beginners, students, and professionals who want to build strong practical skills in computer science and AI.
In this course, you will learn:
1. Programming & Algorithms
a) Programming fundamentals and problem-solving techniques
b) Algorithm design and data structures
c) Writing efficient and clean code
2. Python Programming (Beginner to Advanced)
a) Python basics, object-oriented programming, and advanced concepts
b) Using Python for real-world applications in:
I) Machine Learning
II) Computer Vision
III) Robotics
IV) Data Science
c) Scientific Python (NumPy, Pandas, Matplotlib)
3. Artificial Intelligence & Machine Learning
a) Core AI concepts and algorithms
b) Deep Learning fundamentals
c) Practical projects using modern AI tools and frameworks
Lessons are adapted to your background and goals, whether you are starting from zero, preparing for university courses, or looking to apply AI in your own projects.
Feel free to contact me if you have any questions. I look forward to helping you explore the world of AI!
In this course, you will learn:
1. Programming & Algorithms
a) Programming fundamentals and problem-solving techniques
b) Algorithm design and data structures
c) Writing efficient and clean code
2. Python Programming (Beginner to Advanced)
a) Python basics, object-oriented programming, and advanced concepts
b) Using Python for real-world applications in:
I) Machine Learning
II) Computer Vision
III) Robotics
IV) Data Science
c) Scientific Python (NumPy, Pandas, Matplotlib)
3. Artificial Intelligence & Machine Learning
a) Core AI concepts and algorithms
b) Deep Learning fundamentals
c) Practical projects using modern AI tools and frameworks
Lessons are adapted to your background and goals, whether you are starting from zero, preparing for university courses, or looking to apply AI in your own projects.
Feel free to contact me if you have any questions. I look forward to helping you explore the world of AI!
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