Histopathological findings depend on the distinction between normal and subtle changes in
mucosal tissues. These distinctions are made based on the nature of the cell lining, nuclear …

Large language models (LLMs), such as ChatGPT, have demonstrated impressive
capabilities in various tasks and attracted increasing interest as a natural language interface …

Large language models (LLMs), such as ChatGPT, have demonstrated impressive
capabilities in various tasks and attracted an increasing interest as a natural language …

We propose a novel framework for real-time acquisition and reconstruction of temporally-
varying 3D phenomena with high quality. The core of our framework is a deep neural …

This survey examines the evolution and impact of real-time brainmedia on artistic
exploration, contextualizing developments within a historical framework. To enhance …

Rotational cardiac angiography, though a useful imaging technique, has certain limitations.
It can be time-consuming to acquire the images and may require expertise and special …

3D object alignment is essential in multiple fields. For instance, to allow precise
measurements in metrology, to perform surface/volumetric checks or quality control in …

With recent advancements in robotic surgery, notable strides have been made in visual
question answering (VQA). Existing VQA systems typically generate textual answers to …

This chapter offers a comprehensive exploration of deep learning principles, spanning
neural networks such as CNNs, RNNs, autoencoders, GANs, and attention mechanisms. It …

Tailoring remains a timeless technique that guarantees clothing fit each unique body
perfectly in an era where precision and personalization are vital. Concurrently, 3D …