Deep Learning for CT Reconstruction – Image Denoising and Beyond
Explore advanced deep learning techniques for CT image reconstruction, focusing on denoising methods and innovative approaches to enhance medical imaging quality.
AI-Based PET Image Enhancement
Explore cutting-edge AI techniques for enhancing PET imaging quality and resolution, improving diagnostic accuracy in medical imaging applications.
AI in Molecular Imaging
Explore AI applications in molecular imaging, focusing on deep reconstruction techniques and their impact on medical diagnostics and research.
Prior Knowledge-Driven Machine Intelligence to Maximize the Potential of Low-Dose Spectral CT
Explore machine intelligence techniques leveraging prior knowledge to enhance low-dose spectral CT imaging, maximizing its potential for improved medical diagnostics and reduced radiation exposure.
PACS & AI – From Integration to Cloud
Explore the integration of PACS and AI technologies, from traditional systems to cloud-based solutions, and their impact on medical imaging workflows and patient care.
Lessons From the Regulatory Process for Medical Software for Image Analysis and AI
Explore regulatory processes for medical software and AI in image analysis, addressing challenges in AI/ML research and proposing improvements based on regulated software development practices.
Artificial Intelligence Planning
Explore AI planning techniques, algorithms, and applications in robotics, space, games, and medicine. Learn about search strategies, heuristics, and practical planning systems.
Machine Learning Course
Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.
Pioneering the Science of Information - IBM's Role in Shaping Information Technology
Explore IBM's role in shaping information science, future technologies, and their applications in resource management, disaster response, and computational life sciences.
Can You Trust a Computer Algorithm - How and Why
Experts discuss algorithmic trustworthiness, exploring AI benefits, challenges, ethical data management, and regulatory oversight for reliable outcomes in an era of increasing AI reliance.
Digital Wellbeing and Online Learning in Education - Graduate Information Session
Explore strategies for positive digital citizenship, managing online interactions, and integrating digital resources in education. Gain insights on digital wellbeing and addressing challenges in online learning.
The New DBification of ML-AI
Explore the intersection of ML/AI and databases, addressing scalability and usability challenges in ML systems through database principles and techniques.
Getting Robust - Securing Neural Networks Against Adversarial Attacks
Explore adversarial attacks on machine learning, their impact, and defense strategies. Learn to incorporate adversarial considerations in research and development for more robust AI systems.
Artificial Intelligence by CrashCourse
In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning!
Neural Networks Demystified
In this short series, we will build and train a complete Artificial Neural Network in python.
Artificial Intelligence
Comprehensive exploration of AI concepts, from search algorithms and logic to planning, expert systems, uncertainty reasoning, fuzzy logic, machine learning, and natural language processing.
Artificial Intelligence
Comprehensive exploration of AI concepts, algorithms, and techniques, covering search strategies, optimization methods, game playing, planning, constraint satisfaction, and knowledge-based systems.
Neural Networks from Scratch in Python
Build and understand neural networks from the ground up, covering key concepts like neurons, layers, activation functions, and loss calculation in Python.
Learning To See
In this series, we'll explore the complex landscape of machine learning and artificial intelligence through one example from the field of computer vision: using a decision tree to count the number of fingers in an image. It's gonna be crazy.
Robotics
This course deals with topics in robotics: technologies in robotics, its parallel and grippers manipulators, sensors, trajectory planning, velocity analysis, image processing, forward position control, and dynamic analysis of robotics.
Neural Networks
This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.