AIMC Topic: Deep Learning

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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system.

PloS one Feb 7, 2025
Perceptual recognition of tourist destinations is vital in representing the destination image, supporting destination management decision-making, and promoting tourism recommendations. However, previous studies on tourist destination perception have ...
Tourism Deep Learning China Perception Humans Geographic Information Systems
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Optimizing MR-based attenuation correction in hybrid PET/MR using deep learning: validation with a flatbed insert and consistent patient positioning.

European journal of nuclear medicine and molecular imaging Feb 6, 2025
PURPOSE: To address the challenges of verifying MR-based attenuation correction (MRAC) in PET/MR due to CT positional mismatches and alignment issues, this study utilized a flatbed insert and arms-down positioning during PET/CT scans to achieve preci...
Male Middle Aged Deep Learning Reproducibility of Results Aged Positron Emission Tomography Computed Tomography Humans Adult Fluorodeoxyglucose F18 Image Processing, Computer-Assisted Female Patient Positioning Magnetic Resonance Imaging Multimodal Imaging
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Deep-learning-based diagnosis framework for ankle-brachial index defined peripheral arterial disease of lower extremity wound: Comparison with physicians.

Computer methods and programs in biomedicine Feb 6, 2025
BACKGROUND AND OBJECTIVE: Few studies have evaluated peripheral artery disease (PAD) in patients with lower extremity wounds by a convolutional neural network (CNN)-based deep learning algorithm. We aimed to establish a framework for PAD detection, p...
Ankle Brachial Index Humans Neural Networks, Computer Lower Extremity Peripheral Arterial Disease Male Diagnosis, Computer-Assisted Algorithms Deep Learning Physicians Female
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Predicting cognitive decline: Deep-learning reveals subtle brain changes in pre-MCI stage.

The journal of prevention of Alzheimer's disease Feb 6, 2025
BACKGROUND: Mild cognitive impairment (MCI) and preclinical MCI (e.g., subjective cognitive decline, SCD) are considered risk states of dementia, such as Alzheimer's Disease (AD). However, it is challenging to accurately predict conversion from norma...
Cognitive Dysfunction Longitudinal Studies Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Male Disease Progression Deep Learning Aged Aged, 80 and over Humans Brain Female
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SegmentAnyBone: A universal model that segments any bone at any location on MRI.

Medical image analysis Feb 6, 2025
Magnetic Resonance Imaging (MRI) is pivotal in radiology, offering non-invasive and high-quality insights into the human body. Precise segmentation of the MRIs into different organs and tissues would be very beneficial as it would allow more accurate...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Bone and Bones Humans Algorithms
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A comparative analysis of Constant-Q Transform, gammatonegram, and Mel-spectrogram techniques for AI-aided cardiac diagnostics.

Medical engineering & physics Feb 6, 2025
Cardiovascular diseases (CVDs) are the leading global cause of death, which requires the early and accurate detection of cardiac abnormalities. Abnormal heart sounds, indicative of potential cardiac problems, pose a challenge due to their low-frequen...
Phonocardiography Signal Processing, Computer-Assisted Heart Sounds Artificial Intelligence Humans Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning
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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI.

NeuroImage Feb 6, 2025
This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution (1 mm) or using mono-modal data, the proposed method improves cerebellum lobule s...
Humans Multimodal Imaging Deep Learning Female Cerebellum Image Processing, Computer-Assisted Adult Neuroimaging Magnetic Resonance Imaging Male
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QMaxViT-Unet+: A query-based MaxViT-Unet with edge enhancement for scribble-supervised segmentation of medical images.

Computers in biology and medicine Feb 6, 2025
The deployment of advanced deep learning models for medical image segmentation is often constrained by the requirement for extensively annotated datasets. Weakly-supervised learning, which allows less precise labels, has become a promising solution t...
Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Algorithms Databases, Factual Breast Neoplasms Humans
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DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning.

Nature methods Feb 6, 2025
Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines falls behind the rapid expansion of data volume, causing substantial computational challenges. Here we present DeepPrep, a pipeline empowered by deep le...
Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain Workflow Humans Neuroimaging Deep Learning Software
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Artificial Intelligence in Natural Product Drug Discovery: Current Applications and Future Perspectives.

Journal of medicinal chemistry Feb 6, 2025
Drug discovery, a multifaceted process from compound identification to regulatory approval, historically plagued by inefficiencies and time lags due to limited data utilization, now faces urgent demands for accelerated lead compound identification. I...
Drug Discovery Deep Learning Biological Products Humans Artificial Intelligence Machine Learning
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