Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Background: Generating synthetic data using artificial intelligence, such as large language models (...
Background: Depression is biologically heterogeneous, and first-episode depression (FED) carries a h...
Uncertainty in medical image segmentation is inherently non-uniform, with boundary regions exhibitin...
Significant progress has been made in semi-supervised hyperspectral image (HSI) classification regar...
Range-view projection provides an efficient method for transforming 3D LiDAR point clouds into 2D ra...
Existing displacement strategies in semi-supervised segmentation only operate on rectangular regions...
Unmanned Aerial Vehicle (UAV) applications have become increasingly prevalent in aerial photography ...
We introduce NewPINNs, a physics-informing learning framework that couples neural networks with conv...
The human genome is partitioned at different levels of 3D genome organization, with topologically as...
Deep learning has substantially advanced medical image segmentation, yet achieving robust generaliza...
Image segmentation plays a central role in computer vision. However, widely used evaluation metrics,...
Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...
Accurate segmentation of neuronal cells in fluorescence microscopy is a fundamental task for quantit...
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseli...
This study aims to develop a novel multi-modal fusion framework for brain tumor segmentation that ...
Floods are among the most frequent natural hazards and cause significant social and economic damag...
Out-of-Distribution (OoD) segmentation is critical for safety-sensitive applications like autonomo...
Out-of-Distribution (OoD) segmentation is critical for safety-sensitive applications like autonomo...
Edge detection (ED) remains a fundamental task in computer vision, yet its performance is often hi...
Building on our previous work introducing Fredholm Neural Networks (Fredholm NNs/ FNNs) for solvin...
Medical AI diagnosis including histopathology segmentation has derived benefits from the recent de...