AIMC Topic: Deep Learning

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Neural architecture search with Deep Radon Prior for sparse-view CT image reconstruction.

Medical physics Feb 10, 2025
BACKGROUND: Sparse-view computed tomography (CT) reduces radiation exposure but suffers from severe artifacts caused by insufficient sampling and data scarcity, which compromise image fidelity. Recent advancements in deep learning (DL)-based methods ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Radon Tomography, X-Ray Computed Deep Learning
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Automatic Joint Lesion Detection by enhancing local feature interaction.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 10, 2025
Recently, deep learning models have demonstrated impressive performance in Automatic Joint Lesion Detection (AJLD), yet balancing accuracy and efficiency remains a significant challenge. This paper focuses on achieving end-to-end lesion detection whi...
Joints Radiographic Image Interpretation, Computer-Assisted Arthritis Algorithms Humans Deep Learning
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Deep learning for RNA structure prediction.

Current opinion in structural biology Feb 10, 2025
Predicting RNA structures from sequences with computational approaches is of vital importance in RNA biology considering the high costs of experimental determination. AI methods have revolutionized this field in recent years, enabling RNA structure p...
Computational Biology RNA Nucleic Acid Conformation Deep Learning
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Novel pre-spatial data fusion deep learning approach for multimodal volumetric outcome prediction models in radiotherapy.

Medical physics Feb 10, 2025
BACKGROUND: Given the recent increased emphasis on multimodal neural networks to solve complex modeling tasks, the problem of outcome prediction for a course of treatment can be framed as fundamentally multimodal in nature. A patient's response to tr...
Deep Learning Treatment Outcome Humans Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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Deep Learning for Antimicrobial Peptides: Computational Models and Databases.

Journal of chemical information and modeling Feb 10, 2025
Antimicrobial peptides are a promising strategy to combat antimicrobial resistance. However, the experimental discovery of antimicrobial peptides is both time-consuming and laborious. In recent years, the development of computational technologies (es...
Deep Learning Computational Biology Antimicrobial Peptides
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Decision Fusion-Based Deep Learning for Channel State Information Channel-Aware Human Action Recognition.

Sensors (Basel, Switzerland) Feb 10, 2025
WiFi channel state information (CSI) has emerged as a promising modality for human action recognition due to its non-invasive nature and robustness in diverse environments. However, most existing methods process CSI channels collectively, potentially...
Human Activities Algorithms Deep Learning Humans Neural Networks, Computer
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring.

Sensors (Basel, Switzerland) Feb 10, 2025
Traditional approaches for human monitoring and motion recognition often rely on wearable sensors, which, while effective, are obtrusive and cause significant discomfort to workers. More recent approaches have employed unobtrusive, real-time sensing ...
Monitoring, Physiologic Humans Motion Machine Learning Movement Deep Learning Algorithms Wearable Electronic Devices
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Detection of dental caries under fixed dental prostheses by analyzing digital panoramic radiographs with artificial intelligence algorithms based on deep learning methods.

BMC oral health Feb 10, 2025
BACKGROUND: The aim of this study was to evaluate the efficacy of detecting dental caries under fixed dental prostheses (FDPs) through the analysis of panoramic radiographs utilizing convolutional neural network (CNN) based You Only Look Once (YOLO) ...
Humans Dental Caries Dental Prosthesis Adult Male Algorithms Neural Networks, Computer Deep Learning Middle Aged Female Artificial Intelligence Radiography, Panoramic
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Development of a deep learning system for predicting biochemical recurrence in prostate cancer.

BMC cancer Feb 10, 2025
BACKGROUND: Biochemical recurrence (BCR) occurs in 20%-40% of men with prostate cancer (PCa) who undergo radical prostatectomy. Predicting which patients will experience BCR in advance helps in formulating more targeted prostatectomy procedures. Howe...
Prostate-Specific Antigen Neoplasm Grading Deep Learning Prostatic Neoplasms Prostatectomy Biopsy Neoplasm Recurrence, Local Prognosis Aged Male Middle Aged Humans Neural Networks, Computer
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A deep learning-based system for automatic detection of emesis with high accuracy in Suncus murinus.

Communications biology Feb 10, 2025
Quantifying emesis in Suncus murinus (S. murinus) has traditionally relied on direct observation or reviewing recorded behaviour, which are laborious, time-consuming processes that are susceptible to operator error. With rapid advancements in deep le...
Shrews Neural Networks, Computer Animals Deep Learning Vomiting
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