Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
We present HamVision, a framework for medical image analysis that uses the damped harmonic oscillato...
Efficiently managing and utilizing large-scale medical imaging datasets with limited resources prese...
Tracking Any Point (TAP) has emerged as a fundamental tool for video understanding. Current approach...
Generative models are widely used to compensate for class imbalance in AI training pipelines, yet th...
For classification tasks, the performance of a deep neural network is determined by the structure of...
Contrastive learning (CL) has become a powerful approach for learning representations from unlabeled...
Referring image segmentation aims to produce a pixel-level mask for the image region described by a ...
Although diffusion models have achieved remarkable progress in multi-modal magnetic resonance imagin...
Medical image segmentation is crucial for computer-aided diagnosis, which necessitates understanding...
Generative AI compresses within-task skill differences while shifting economic value toward concentr...
Accurate polyp segmentation from colonoscopy images is critical for colorectal cancer prevention, ye...
Accurate polyp segmentation is essential for early colorectal cancer detection, yet achieving reliab...
Deep learning in cardiac MRI (CMR) is fundamentally constrained by both data scarcity and privacy re...
Spatial heterogeneity in drug distribution, particularly within solid tumors, can compromise target ...
Vision Transformers (ViTs) have revolutionized medical image analysis, yet their data-hungry nature ...
Foundation vision models are increasingly adopted in medical image analysis. Due to domain shift, th...
Reinforcement learning (RL) is increasingly used to post-train medical Vision-Language Models (VLMs)...
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...