FutureLearn

Statistical Shape Modelling: Computing the Human Anatomy (FutureLearn)

Offered by University of Basel,

Learn the technology of modelling, as used in computational face recognition or in surgeries, with this free online course. Statistical shape models are one of the most important technologies in computer vision and medical image analysis. With this technology, the computer learns the characteristic shape variations of an object or organ. The model resulting from this analysis may then be used in implant design, image analysis, surgery planning and many other fields.

Class Deals by MOOC List - Click here and see FutureLearn's Active Discounts, Deals, and Promo Codes.

In this free online course, you will get insights from mathematics, statistics and machine learning, in order to address practical problems, as well as a theoretical and practical introduction to the open source software Scalismo.

Syllabus

Week 1: Basic concepts of shape modelling and the Scalismo software
Week 2: Building shape models: fundamental concepts in theory and practice
Week 3: Probabilistic aspects of shape models
Week 4: Modelling with Gaussian Processes
Week 5: Reconstructing missing parts
Week 6: Fitting models to data
Week 7: Model-based image analysis
Week 8: Conclusion and outlook

What will you achieve?
By the end of the course, you'll be able to...

Model the normal shape variations of anatomical shapes using Gaussian processes
Explore the mathematical concept of Gaussian processes visually on 3D shapes
Apply the theoretical concepts of shape modelling to clinically relevant problems in shape and image analysis
Develop programs for building and fitting statistical shape models to images using the open source software Scalismo

Who is the course for?
This course is intended for students and professionals with a Bachelor in computer science, medical imaging professionals and biological anthropologists, who are interested in top-notch research, scientific insights and a useful application. Please note that tutoring takes place between March 1, 2021 and May 2 2021
Although you can watch the videos, read the articles, and complete the tests and quizzes on mobile devices such as smartphones or tablets, you will have to install the free software Scalismo on your own workstation in order to use it – there is no online version available.
In order to be able to do this, your computer should meet the following minimum system requirements: Windows (32bit/64bit), Mac OS X or Linux (64bit), 4GB of RAM, 500MB of free HD space. There are no special requirements for the graphic adapter.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

FutureLearn

Raspberry Pi Foundation,National Centre for Computing Education

Programming Pedagogy in Secondary Schools: Inspiring Computing Teaching (FutureLearn)

CS: Programming

Examine a range of pedagogical approaches suitable for teaching computing in Key Stage 3 (Grade 6–8 in the USA). Transform your teaching by developing your pedagogical approach. In the first two weeks of this course, you’ll be introduced to a range of pedagogical approaches suitable for Key Stage 3. You’ll look at a range of pedagogies aimed at developing your students’ computational thinking skills, from unplugged approaches to PRIMM, and more. You’ll also investigate worked examples and targeted tasks such as Parson’s Problems.

Mar 6th 2023

3 Weeks

Programming Education Computing

FutureLearn

Raspberry Pi Foundation,National Centre for Computing Education

Get Started Teaching Computing in Primary Schools: Preparing to teach 5 - 11 year olds (FutureLearn)

Education

Improve your subject knowledge and develop inclusive lessons to teach computing to primary school pupils (aged 5 to 11 years old). Learn key concepts from the computing curriculum alongside education experts. It’s crucial for young people to develop their computing knowledge and skills so that they can understand and participate in our increasingly digital world - being creators rather than solely consumers. On this four-week course you’ll start by thinking about why it’s important for your primary school students (aged 5-11) to learn computing.

Mar 6th 2023

4 Weeks

Computing Teaching Primary School

Coursera

University of Colorado Boulder

Input Filter Design (Coursera)

Engineering Eng: Electronics

This is Course #3 in the Modeling and Control of Power Electronics course sequence. After completion of this course, you will gain an understanding of issues related to electromagnetic interference (EMI) and electromagnetic compatibility (EMC), the need for input filters and the effects input filters may have on converter responses.

Nov 9th 2026

3 Weeks

Modeling Power Electronics EMI

Coursera

EIT Digital

Development of Real-Time Systems (Coursera)

CS: Software Engineering

This course is intended for the Master's student and computer engineer who likes practical programming and problem solving! After completing this course, you will have the knowledge to plan and set-up a real-time system both on paper and in practice. The course centers around the problem of achieving timing correctness in embedded systems, which means to guarantee that the system reacts within the real-time requirements.

Nov 16th 2026

5-12 Weeks

Programming Computing Algorithms

FutureLearn

Raspberry Pi Foundation

Understanding Computer Systems (FutureLearn)

Education Computer Science

Understand how the components of a computer system interact with each other on this online course for computing teachers. Learn what really happens when you turn a computer on. Understanding how a computer works after you press the power button is key to working with technology effectively. On this course, you will explore what happens inside the machine and learn how computers turn inputs into outputs.

Nov 1st 2021

3 Weeks

Software Computing Hardware

FutureLearn

Raspberry Pi Foundation

Understanding Maths and Logic in Computer Science (FutureLearn)

Education Computer Science

Improve your understanding and ability to teach maths and logic in computing while building elements of an escape room. Become more familiar with maths and logic in computer science. The mathematical aspects of computer science can be difficult to understand and teach. On this course, you will be introduced to maths and logic in computing in an engaging way.

Nov 1st 2021

3 Weeks

Math Programming Computing

Coursera

University of Melbourne,The Chinese University of Hong Kong

Basic Modeling for Discrete Optimization (Coursera)

CS: Software Engineering

Optimization is a common form of decision making, and is ubiquitous in our society. Its applications range from solving Sudoku puzzles to arranging seating in a wedding banquet. The same technology can schedule planes and their crews, coordinate the production of steel, and organize the transportation of iron ore from the mines to the ports. Good decisions in manpower and material resources management also allow corporations to improve profit by millions of dollars.

Nov 9th 2026

4 Weeks

Programming Software Discrete Optimization

Coursera

EIT Digital

Quantitative Formal Modeling and Worst-Case Performance Analysis (Coursera)

CS: Software Engineering

Welcome to Quantitative Formal Modeling and Worst-Case Performance Analysis. In this course, you will learn about modeling and solving performance problems in a fashion popular in theoretical computer science, and generally train your abstract thinking skills. After finishing this course, you have learned to think about the behavior of systems in terms of token production and consumption, and you are able to formalize this thinking mathematically in terms of prefix orders and counting functions. You have learned about Petri-nets, about timing, and about scheduling of token consumption/production systems, and for the special class of Petri-nets known as single-rate dataflow graphs, you will know how to perform a worst-case analysis of basic performance metrics, like throughput, latency and buffering.

Nov 16th 2026

4 Weeks

Semantics Engineering Modeling

Coursera

University of Michigan

Internet History, Technology, and Security (Coursera)

Security & Networking

The impact of technology and networks on our lives, culture, and society continues to increase. The very fact that you can take this course from anywhere in the world requires a technological infrastructure that was designed, engineered, and built over the past sixty years. To function in an information-centric world, we need to understand the workings of network technology. This course will open up the Internet and show you how it was created, who created it and how it works. Along the way we will meet many of the innovators who developed the Internet and Web technologies that we use today.

Nov 16th 2026

5-12 Weeks

Network Security Computing

FutureLearn

Raspberry Pi Foundation

Teaching Physical Computing with Raspberry Pi and Python (FutureLearn)

CS: Software Engineering Engineering

Explore the exciting world of physical computing and create electronic circuits that you can control with code. Learn the benefits of using physical computing with your students. On this course from the Raspberry Pi Foundation, you will be introduced to the world of physical computing. You will use input devices to capture data, process that data with the Python programming language, and then use output devices to get information back out from your computer.

Mar 6th 2023

3 Weeks

Python Computing Electronics

Coursera

Instituto Tecnológico de Aeronáutica

Introdução ao Controle Moderno (Coursera)

Engineering Sci: Physics

Este curso lhe dará a base necessária para entender técnicas mais avançadas de controle moderno. Você aprenderá como representar a dinâmica de um sistema no espaço de estados, como analisar um sistema no espaço de estados, como projetar uma realimentação de estado e como projetar um observador de estado.

Nov 16th 2026

5-12 Weeks

MATLAB Modeling Electrical Engineering

Coursera

University of Colorado Boulder

Techniques of Design-Oriented Analysis (Coursera)

Engineering

This is Course #2 in the Modeling and Control of Power Electronics course sequence. The course is focused on techniques of design-oriented analysis that allow you to quickly gain insights into models of switching power converters and to translate these insights into practical converter designs. The design-oriented techniques covered are the Extra Element Theorem and the N-Extra Element Theorem (N-EET). Through practical examples, it is shown how the EET can be used to simplify circuit analysis, to examine the effects of initially unmodeled components, and to design damping of converters such as SEPIC and Cuk to achieve high-performance closed-loop controls.

Nov 9th 2026

3 Weeks

Modeling Power Electronics Power Converters