AIMC Topic: Deep Learning

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Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion Recognition.

Sensors (Basel, Switzerland) Mar 22, 2025
The focus on Speech Emotion Recognition has dramatically increased in recent years, driven by the need for automatic speech-recognition-based systems and intelligent assistants to enhance user experience by incorporating emotional content. While deep...
Speech Humans Emotions Female Male Deep Learning
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Machine learning-based radiomics using MRI to differentiate early-stage Duchenne and Becker muscular dystrophy in children.

BMC musculoskeletal disorders Mar 22, 2025
OBJECTIVES: Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) present similar symptoms in the early stage, complicating their differentiation. This study aims to develop a classification model using radiomic features from MRI T2-w...
Muscular Dystrophy, Duchenne Magnetic Resonance Imaging Diagnosis, Differential Female Radiomics Deep Learning Child, Preschool Male Humans Machine Learning Retrospective Studies
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Deep-ProBind: binding protein prediction with transformer-based deep learning model.

BMC bioinformatics Mar 22, 2025
Binding proteins play a crucial role in biological systems by selectively interacting with specific molecules, such as DNA, RNA, or peptides, to regulate various cellular processes. Their ability to recognize and bind target molecules with high speci...
Sequence Analysis, Protein Databases, Protein Binding Sites Algorithms Deep Learning Computational Biology Proteins Protein Binding Neural Networks, Computer
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A novel framework for segmentation of small targets in medical images.

Scientific reports Mar 22, 2025
Medical image segmentation represents a pivotal and intricate procedure in the domain of medical image processing and analysis. With the progression of artificial intelligence in recent years, the utilization of deep learning techniques for medical i...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Diagnostic Imaging Algorithms Deep Learning
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Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study.

Scientific reports Mar 22, 2025
To develop a deep learning (DL) model based on MRI to predict muscle-invasive bladder cancer (MIBC). A total of 559 patients, including 521 patients in our center and 38 patients in external centers were collected from 2012 to 2023 to construct the D...
Male Middle Aged Neoplasm Invasiveness Magnetic Resonance Imaging Urinary Bladder Neoplasms Deep Learning Aged, 80 and over Female Adult Aged Humans
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Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem.

Nature communications Mar 22, 2025
A canonical social dilemma arises when resources are allocated to people, who can either reciprocate with interest or keep the proceeds. The right resource allocation mechanisms can encourage levels of reciprocation that sustain the commons. Here, in...
Neural Networks, Computer Trust Deep Learning Humans Reinforcement Machine Learning Game Theory Resource Allocation Cooperative Behavior Reinforcement, Psychology
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Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks.

NAR genomics and bioinformatics Mar 22, 2025
The spatial conformation of chromosomes and genomes of single cells is relevant to cellular function and useful for elucidating the mechanism underlying gene expression and genome methylation. The chromosomal contacts (i.e. chromosomal regions in spa...
Chromosomes Chromosome Structures Deep Learning Single-Cell Analysis Humans Neural Networks, Computer Machine Learning
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Deep learning-based analysis of gross features for ovarian epithelial tumors classification: A tool to assist pathologists for frozen section sampling.

Human pathology Mar 22, 2025
Computational pathology has primarily focused on analyzing tissue slides, neglecting the valuable information contained in gross images. To bridge this gap, we proposed a novel approach leveraging the Swin Transformer architecture to develop a Swin-T...
Humans Female Ovarian Neoplasms Carcinoma, Ovarian Epithelial Deep Learning Image Interpretation, Computer-Assisted Frozen Sections
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Drug-drug interaction prediction based on graph contrastive learning and dual-view fusion.

Computational biology and chemistry Mar 21, 2025
Drug-drug interaction (DDI) is important in drug research and are one of the major causes of morbidity and mortality. The deep learning methods can automatically extract drug features from molecular graphs or drug-related networks, which improves the...
Humans Deep Learning Drug Interactions
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Applying deep learning algorithms for non-invasive estimation of carotenoid content in the foot muscle of Pacific abalone with different colors.

Food chemistry Mar 21, 2025
Carotenoids are vital pigments influencing both the coloration and health of aquatic organisms, particularly in species such as the Pacific abalone (Haliotis discus hannai). In this study, we identified the major carotenoids in abalone foot muscle us...
Carotenoids Muscles Gastropoda Deep Learning Shellfish Color Animals
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