Skip main navigation

Deep Learning Basics: Part2

Next, Prof. Lai will introduce Major Types of Neural Networks: Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Generative Adversarial Networks (GAN) Convolutional Neural Network (CNN) was used mainly for …

Limitations of Deep Learning

In this video, Prof. Lai will tell the limitations in deep learning models. You will be able to see AI in imaging can have some limits. There are several limitations …

Automated Machine Learning

In this video, Prof. Lai will explain AutoML: Automated Machine Learning. The origin of this research is from the question: Can we automate the whole learning process and let the …

Convolutional Neural Networks (CNNs)

So, why should a data scientist learn deep learning algorithms now? What do neural networks offer that traditional machine learning algorithms don’t? The different types of neural networks in deep …

Recurrent Neural Networks (RNN)

Continuing on the previous step, Prof. Lai will explain the concept of Residual Neural Network (ResNet). In 2015, the Microsoft researchers proposed the Residual Network, which is known as ResNet, …

Machine Learning Basics: Part1

In this video, Prof. Lai, Kuan-Ting will teach the basics of machine learning. Machine learning is a subset of artificial intelligence. Machine learning algorithms build a statistical model based on …

Deep Learning Basics: Part1

In this video, Prof. Lai explains the concept of Deep learning. Deep learning is based on an artificial neural network, which is inspired by biological neural networks. Prof. Lai first …

Machine Learning Basics: Part2

Continuing on the previous step, Prof.Lai will continue to explain the types of machine learning. There are many other types of Machine learning, including semi-supervised learning, self-supervised learning, one-shot learning, …

Conclusions

Prof. Peng will conclude the research result here. What’s the finding of the MRI analysis? Although the method of detecting acute ischemic stroke is complicated, the automatic methods did show …

Method for Evaluating the Risks of Radiotherapy

Prof. Peng continues to explain the evaluation of the nidus, brain tissue, and CSF segmentation results. Next, he will explain the performance of the computer-assisted classification method.

MRI Analysis Method

In this video, Prof. Peng will introduce Part 2 topic, Magnetic Resonance Image Analysis Method and Method for Evaluating the Risks of Radiotherapy. Cerebral AVM (arterio-venous malformation) is a congenital …

Automated Infarct Detection

In this video, Prof. Peng will introduce the progress of Automated Infarct Detection. You will see the detailed progress of how DWI imaging can identify the cerebral infarct.

Lesional Segmentation

Prof. Peng will introduce Lesional Segmentation in Acute Ischemic Stroke Patients. As Cerebrovascular disease is one of the leading causes of acute mortality and chronic disability, Prof. Peng explains a …

Particle Swarm Optimization (PSO) and its Applications

In this video, Prof. Cheng will introduce another algorithm and its applications: Particle Swarm Optimization (PSO). Particle swarm optimization (PSO) is a robust evolutionary strategy inspired by the social behavior …