Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Reinforcement learning (RL) is increasingly used to post-train medical Vision-Language Models (VLMs)...
The advent of large-scale self-supervised learning (SSL) has produced a vast zoo of medical foundati...
Spatially variant dynamic convolution provides a principled approach of integrating spatial adaptivi...
Accurate medical image segmentation requires effective modeling of both global anatomical structures...
High stress occurs when 3D heterogeneous IC packages are subjected to thermal cycling at extreme tem...
The rapid deployment of deep neural network (DNN) accelerators in safety-critical domains such as au...
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...
In critical decision support systems based on medical imaging, the reliability of AI-assisted decisi...
Boundary detection of irregular and translucent objects is an important problem with applications in...
Accurate segmentation of MRI brain images is essential for image analysis, diagnosis of neuro-logica...
Deep search agents, which autonomously iterate through multi-turn web-based reasoning, represent a p...
Score-based diffusion models are a recently developed framework for posterior sampling in Bayesian i...
IMU-based Human Activity Recognition (HAR) has enabled a wide range of ubiquitous computing applicat...