Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption rema...
Graph-based medical image segmentation represents anatomical structures using boundary graphs, provi...
We propose a template-driven triangulation framework that embeds raster- or segmentation-derived bou...
Across minimal neural networks and small transformer models, we demonstrate that experience ordering...
Background: Australian health practitioners are regulated under the Health Practitioner Regulation N...
Image-based Virtual Try-On (VTON) concerns the synthesis of realistic person imagery through garment...
Unsupervised image segmentation is a critical task in computer vision. It enables dense scene unders...
Green's functions characterize the fundamental solutions of partial differential equations; they are...
Semantic Change Detection (SCD) aims to detect and categorize land-cover changes from bi-temporal re...
Boundary detection of irregular and translucent objects is an important problem with applications in...
Deep search agents, which autonomously iterate through multi-turn web-based reasoning, represent a p...
IMU-based Human Activity Recognition (HAR) has enabled a wide range of ubiquitous computing applicat...
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...
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...
Image segmentation plays a central role in computer vision. However, widely used evaluation metrics,...