AIMC Topic: Imaging, Three-Dimensional

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ReSCU-Nets: Recurrent U-Nets for segmentation of three-dimensional microscopy data.

The Journal of cell biology Aug 11, 2025
Segmenting multidimensional microscopy data requires high accuracy across many images (e.g., time points or Z slices) and is thus a labor-intensive part of biological image processing pipelines. We present ReSCU-Nets, recurrent convolutional neural n...
Animals Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Drosophila melanogaster Gap Junctions Time-Lapse Imaging Wound Healing Microscopy
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HSPC-Net: A hierarchical shape-preserving completion network for machine part point cloud completion.

PloS one Aug 11, 2025
With the continuous advancement of 3D scanning technology, point cloud data of mechanical components has found widespread applications in industrial design, manufacturing, and repair. However, due to limitations in scanning precision and acquisition ...
Cloud Computing Algorithms Neural Networks, Computer Imaging, Three-Dimensional
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LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation.

PloS one Aug 8, 2025
Since Transformers have demonstrated excellent performance in the segmentation of two-dimensional medical images, recent works have also introduced them into 3D medical segmentation tasks. For example, hierarchical transformers like Swin UNETR have r...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses.

Neuroinformatics Aug 7, 2025
The amygdala plays a central role in emotion, memory, and decision-making and comprises approximately 13 distinct nuclei with connectivity. Despite its functional importance, high-resolution subnuclear mapping is challenging. This study aimed to cons...
Computer Simulation Female Adult Humans Imaging, Three-Dimensional Magnetic Resonance Imaging Models, Neurological Male Deep Learning Amygdala
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Instantaneous center of rotation, the first step to build up the digital laboratory of complex motions.

PloS one Aug 7, 2025
Calculating instantaneous centers of rotation to describe combined rotational and translational motions has a long history in many fields of applied science and basic rigid body kinematics. However, only some theoretical studies have explored the fun...
Imaging, Three-Dimensional Rotation Humans Temporomandibular Joint Movement Biomechanical Phenomena
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Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.

PloS one Aug 7, 2025
PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. This study aimed to analyze the interscan measurement error of knee cartilage thickness in o...
Cartilage, Articular Middle Aged Imaging, Three-Dimensional Knee Joint Osteoarthritis, Knee Magnetic Resonance Imaging Aged Humans Male Artificial Intelligence Female
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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer.

Scientific reports Aug 5, 2025
Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in ...
Algorithms Deep Learning Humans Imaging, Three-Dimensional Oropharyngeal Neoplasms Tumor Burden
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Learning behavior aware features across spaces for improved 3D human motion prediction.

Scientific reports Aug 4, 2025
3D skeleton-based human motion prediction is an essential and challenging task for human-machine interactions, aiming to forecast future poses given a history of previous motions. However, most existing works model human motion dependencies exclusive...
Biomechanical Phenomena Imaging, Three-Dimensional Humans Machine Learning Motion Algorithms Movement
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Adaptive-learning physics-assisted light-field microscopy enables day-long and millisecond-scale super-resolution imaging of 3D subcellular dynamics.

Nature communications Aug 4, 2025
Long-term and high-spatiotemporal-resolution 3D imaging of living cells remains an unmet challenge for super-resolution microscopy, owing to the noticeable phototoxicity and limited scanning speed. While emerging light-field microscopy can mitigate t...
Endoplasmic Reticulum Mitochondrial Dynamics Humans Microscopy Deep Learning HeLa Cells Imaging, Three-Dimensional Lysosomes Mitochondria
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Automatic restoration and reconstruction of defective tooth based on deep learning technology.

BMC oral health Aug 2, 2025
BACKGROUND: Accurate restoration and reconstruction of tooth morphology are crucial in restorative dentistry, implantology, and forensic odontology. Traditional methods, like manual wax modeling and template-based computer-aided design (CAD), struggl...
Image Processing, Computer-Assisted Humans Deep Learning Dental Restoration, Permanent Computer-Aided Design Models, Dental Tooth Imaging, Three-Dimensional
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