Education
Podcasts
HexAI Podcast: Podcast on advancements in computational health informatics and explainable AI (XAI). [More Information]
Workshops and Tutorials
REF-AI Workshop: The REF-AI Workshop on Responsible, Explainable, and Fair AI for Medical Imaging Informatics addresses an urgent need within the broader healthcare settings, particularly in medical imaging informatics. With the rapid advancements in AI-driven solutions for medical imaging, there is a pressing need to build, train, and validate these AI models in ways that are transparent, fair, and aligned with ethical standards. The significance of this workshop lies in its focus on AI applications that can support equitable patient care, meet regulatory standards, enhance trustworthy AI, and enhance clinical decision-making without introducing unintended biases. As healthcare providers, regulatory parties, clinicians, and patients call for more accountable AI practices, the REF-AI workshop will offer a timely platform to bridge current research and real-world applications, addressing challenges and opportunities for better AI-powered healthcare. [More Information]
Explainable Al (XAI) in Clinical Applications: Artificial intelligence (AI) has already demonstrated very successful performance in a variety of healthcare settings, ranging from disease diagnosis to predicting patient and clinical outcomes. However, the "black-box" nature of many Al algorithms can pose challenges in clinical applications, where Al-powered decisions need to be clearly justified and understood. explainable Al (XAI) addresses these concerns by making Al models more explainable, transparent, interpretable, and accountable. As the healthcare industry increasingly adopts Al technologies to improve diagnosis, treatment, and patient care, the need for transparency and interpretability in Al systems has become paramount. This half day tutorial on "explainable AI (XAI) in Clinical Applications" will delve into the intersection of Al and healthcare, mainly focusing on the critical aspect of XAI. 2024 half-day tutorial! [More Information]
Explainable Deep Few-shot Learning on the Cloud and its Application in Medical Imaging Informatics: The upcoming 18th International Symposium on Visual Computing (ISVC 2023) will feature a half-day tutorial on "Explainable Deep Few-shot Learning on the Cloud and its Application in Medical Imaging Informatics". During the tutorial, participants will learn how to train models for image localization and segmentation using conventional deep learning techniques and deploy them on the Oracle Cloud Infrastructure (OCI) platform. While OCI does not currently offer a public few-shot training option for these tasks, the tutorial will demonstrate how to leverage OCI's tools and resources to effectively train and deploy models for medical imaging informatics applications. This tutorial is ideal for professionals and researchers interested in expanding their knowledge of explainable deep few-shot learning and its practical applications in the healthcare industry. With the rise of cloud computing in medical imaging, this tutorial provides valuable insights and hands-on experience for attendees. Don't miss this opportunity to enhance your skills and knowledge in deep learning and cloud computing for medical imaging informatics register for the ISVC 2023 half-day tutorial today! [More Information]
The 3rd Annual Deep Learning Workshop presented by The OSCT at Marquette University: Marquette University is set to host the 3rd Annual Deep Learning Workshop presented by The OSCT, an event that promises to be an exciting gathering for researchers and students interested in exploring the latest advances in deep learning for medical image analysis. The workshop will feature expert speakers who will share their insights on a range of topics, including image registration, object localization, image segmentation, anomaly detection, and image classification. Attendees will also have the opportunity to participate in hands-on tutorials and network with like-minded individuals. With the workshop's focus on deep learning, participants can expect to gain valuable knowledge on how this technology can be applied to medical image analysis. Registration is free for students, making it an accessible and cost-effective way to expand your skills and knowledge. Don't miss this chance to stay at the forefront of deep learning in medical imaging - register today for the 3rd Annual Deep Learning Workshop presented by The OSCT at Marquette University. [More Information]
