Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
Shadows are prevalent in high-resolution aerospace imagery (ASI). They often cause spectral distorti...
Manuscript preparation is a critical bottleneck in scientific publishing, yet existing AI writing to...
Accurate lesion segmentation in ultrasound images is essential for preventive screening and clinical...
Style transfer aims to render a content image with the visual characteristics of a reference style w...
Many visual monitoring systems operate under strict communication constraints, where transmitting fu...
Referring Camouflaged Object Detection (Ref-COD) focuses on segmenting specific camouflaged targets ...
We present Camyla, a system for fully autonomous research within the scientific domain of medical im...
Plant seedling segmentation supports automated phenotyping in precision agriculture. Standard segmen...
Medical Vision Language Models VLMs suffer from two failure modes that threaten safe deployment mis ...
Adnexal mass evaluation via ultrasound is a challenging clinical task, often hindered by subjective ...
Open-Vocabulary Segmentation (OVS) aims to segment image regions beyond predefined category sets by ...
Deep learning has been widely applied to 3D medical image segmentation tasks. However, due to the di...
We introduce region-specific image refinement as a dedicated problem setting: given an input image a...
Weakly supervised semantic segmentation aims to achieve pixel-level predictions using image-level la...
Annotation-free skin lesion segmentation is attractive for low-resource dermoscopic deployment. Howe...
Large volumes of medical data remain underutilized because centralizing distributed data is often in...
Nuclei instance segmentation is critical in computational pathology for cancer diagnosis and prognos...
Accurate cardiac ultrasound segmentation is essential for reliable assessment of ventricular functio...
Few-shot medical image segmentation (FSMIS) has achieved notable progress, yet most existing methods...
Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease...
As Text-to-Image (T2I) generation becomes widespread, third-party platforms increasingly integrate m...