Generate Images and Videos at Low Cost with Vertex AI
Harnessing the power of Google’s state-of-the-art generative AI models, Imagen 4 for image creation and Google Veo for video production,…
A Comparative Analysis of Latent Diffusion Models and Conditional Flow Matching
Generative models represent a cornerstone of modern artificial intelligence, aiming to learn the underlying probability distribution of a given dataset…
Understanding MRI scan outputs and viewing them with FSL
An MRI scan often produces many .nii (NIfTI) files because of the complexity and richness of MRI data. To follow…
MONAI-Medical Open Network for Artificial Intelligence
MONAI is an open-source framework designed for deep learning in medical imaging. MONAI (Medical Open Network for AI) is an…
The legendary scholar and strategist Nguyen Trai and the Legend of the snake’s revenge
When Nguyễn Trãi joined the Lam Sơn uprising, he proposed a brilliant plan to spread the reputation of the rebel…
Exploring the Significance of Fantasy Creatures/Goddess in Vietnamese Culture: From Dragons to the Guom Pond Turtle
From Dragons to the Guom Pond Turtle, let us uncover the rich tapestry of myth and legend that permeates Vietnamese…
An Introduction to Flow Matching and Conditional Flow Matching
An Introduction to Flow Matching Flow Matching is a powerful and relatively new framework for training generative models. It has…
Transfer Learning for Enhanced Data Imputation: A Comprehensive Review of Applications, Recent Research, and Practical Resources
Missing data presents a significant obstacle in numerous analytical endeavors, compromising the integrity of datasets and the reliability of subsequent…
Navigating the Complexities of Incomplete Data: A Guide to Methods for Irregularly Sampled Multivariate Time Series
Dealing with real-world data often means confronting the challenge of irregular sampling in multivariate time series. Unlike their neatly ordered…
Parameter-Efficient Fine-Tuning: A New Paradigm for Advancing Medical Image Analysis
1. Introduction: The Imperative for Efficiency in Adapting Foundational Models for Medical Imaging The advent of foundation models, pre-trained on…