AIMC Topic: Imaging, Three-Dimensional
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On-farm 3D images of beef cattle for the prediction of carcass classification traits and cold carcass weight.
Animal : an international journal of animal bioscience
Apr 25, 2025
For beef cattle, subjective methods tend to be used on-farm for assessing readiness for slaughter. This means that the target classification grades cannot be accurately estimated, leading to over- and under-finished animals being sent to slaughter. T...
Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations.
IEEE transactions on visualization and computer graphics
Apr 25, 2025
Robotic ultrasound systems have the potential to improve medical diagnostics, but patient acceptance remains a key challenge. To address this, we propose a novel system that combines an AI-based virtual agent, powered by a large language model (LLM),...
Pruning Sparse Tensor Neural Networks Enables Deep Learning for 3D Ultrasound Localization Microscopy.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Apr 24, 2025
Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten microns. ULM is based on the sub-resolution localization of individual micro...
Facial surgery preview based on the orthognathic treatment prediction.
Computer methods and programs in biomedicine
Apr 23, 2025
BACKGROUND AND OBJECTIVE: Orthognathic surgery consultations are essential for helping patients understand how their facial appearance may change after surgery. However, current visualization methods are often inefficient and inaccurate due to limite...
Deep learning-based post hoc denoising for 3D volume-rendered cardiac CT in mitral valve prolapse.
The international journal of cardiovascular imaging
Apr 23, 2025
We hypothesized that deep learning-based post hoc denoising could improve the quality of cardiac CT for the 3D volume-rendered (VR) imaging of mitral valve (MV) prolapse. We aimed to evaluate the quality of denoised 3D VR images for visualizing MV pr...
A novel deep learning approach to classify 3D foot types of diabetic patients.
Scientific reports
Apr 22, 2025
Diabetes mellitus is a worldwide epidemic that leads to significant changes in foot shape, deformities, and ulcers. Precise classification of diabetic foot not only helps identify foot abnormalities but also facilitates personalized treatment and pre...
World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.
Medical image analysis
Apr 18, 2025
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while making limited use of prior geometric knowledge. Th...
Comprehensive evaluation and application of tissue clearing techniques for 3-D visualization of splenic neural and immune architecture.
American journal of physiology. Cell physiology
Apr 18, 2025
As the largest secondary lymphoid organ, the spleen plays a crucial role in initiating and sustaining immune responses against blood-borne pathogens through antigen capture and delivery. It is innervated by both autonomic and sensory nerves, which al...
Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model.
Scientific reports
Apr 18, 2025
A segmentation-free 3D Convolutional Neural Network (3DCNN) model was adopted to estimate Visual Field (VF) in glaucoma cases using Optical Coherence Tomography (OCT) images. This study, conducted at a university hospital, included 6335 participants ...
High-resolution dynamic imaging of chromatin DNA communication using Oligo-LiveFISH.
Cell
Apr 15, 2025
Three-dimensional (3D) genome dynamics are crucial for cellular functions and disease. However, real-time, live-cell DNA visualization remains challenging, as existing methods are often confined to repetitive regions, suffer from low resolution, or r...
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