Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks by James A. Henderson, Kevin M. Aquino, P.A. Robinson

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Identification of Alzheimer’s disease brain networks based on EEG phase synchronization by Jiayi Cao, Bin Li, Xiaoou Li

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Plasticity in inhibitory networks improves pattern separation in early olfactory processing by Shruti Joshi, Seth Haney, Zhenyu Wang, Fernando Locatelli, Hong Lei, Yu Cao, Brian Smith, Maxim Bazhenov

“…This results in improved pattern separation and a more concise neural code. Our calcium imaging data support these predictions. Analysis of a graph convolutional neural network performing an odor categorization task revealed a similar mechanism for contrast enhancement. …”
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Approaches to Identifying Emotions and Affections During the Museum Learning Experience in the Context of the Future Internet by Iana Fominska, Stefano Di Tore, Michele Nappi, Gerardo Iovane, Maurizio Sibilio, Angela Gelo

“…Then, the methodology was tested on 1000 cases via specific questionnaire forms, along with the presentation of images and short videos, and the results of data analysis are reported. …”
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Lowering blood pressure after acute intracerebral haemorrhage: protocol for a systematic review and meta-analysis using individual patient data from randomised controlled trials pa... by Keith W Muir, Gary Ford, Philip M Bath, Adnan I Qureshi, Thompson G Robinson, Rustam Al-Shahi Salman, Hisatomi Arima, Lisa J Woodhouse, Eivind Berge, Nikola Sprigg, Xia Wang, Tom J Moullaali, Zhe Kang Law, Candice Delcourt, Kailash Krishnan, Else C Sandset, Craig S Anderson, Yuko Palesch, John Potter, Jeff Saver, Nerses Sanossian, Ken Butcher, Kennedy R Lees, Janneke Horn

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Enhancing Symbol Recognition in Library Science via Advanced Technological Solutions by Eleonora Bernasconi, Stefano Ferilli

“…The methodological pipeline incorporates advanced image segmentation techniques to isolate symbols from complex manuscripts, followed by data augmentation to enhance model resilience. …”
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Multiclass leukemia cell classification using hybrid deep learning and machine learning with CNN-based feature extraction by Sazzli Kasim, Sorayya Malek, JunJie Tang, Xue Ning Kiew, Song Cheen, Bryan Liew, Norashikin Saidon, Raja Ezman, Raja Shariff

“…Although deep learning approaches, particularly Convolutional Neural Networks (CNNs), have demonstrated exceptional performance in binary classification tasks, multiclass classification of leukemia subtypes remains challenging due to limited data availability and morphological similarities between subtypes. …”
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Multiconsensus of Second-Order Multiagent Networks via Pulse-Modulated Intermittent Control by Ming Chi, Xu-Long Wang, Ding-Xin He, Zhi-Wei Liu

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Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI by Jianhong Cheng, Hulin Kuang, Songhan Yang, Hailin Yue, Jin Liu, Jianxin Wang

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A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction by Christopher Nielsen, Matthias Wilms, Nils D. Forkert

“…Technology or Method: Feature representations from CFP and OCT images were extracted using RETFound, a powerful foundation model for retinal image analysis. …”
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Evaluating CNN Architectures for the Automated Detection and Grading of Modic Changes in MRI: A Comparative Study by Li‐peng Xing, Gang Liu, Hao‐chen Zhang, Lei Wang, Shan Zhu, Man Du La Hua Bao, Yan‐ni Wang, Chao Chen, Zhi Wang, Xin‐yu Liu, Shuai Zhang, Qiang Yang

“…ABSTRACT Objective Modic changes (MCs) classification system is the most widely used method in magnetic resonance imaging (MRI) for characterizing subchondral vertebral marrow changes. …”
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Human Motion Data Retrieval Based on Staged Dynamic Time Deformation Optimization Algorithm by Hongshu Bao, Xiang Yao

“…In recent years, with the rapid development of computer storage capabilities and network transmission capabilities, users can easily share their own video and image information on social networking sites, and the amount of multimedia data on the network is rapidly increasing. …”
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Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks by Yusuf Secgin, Seren Kaya, Oğuzhan Harmandaoğlu, Oğuzhan Öztürk, Deniz Senol, Ömer Önbaş, Nihat Yılmaz

“…This study aims to estimate sex using morphometric measurements from the FC through machine learning (ML) and artificial neural networks (ANNs). Materials and methods The study utilized Computed Tomography (CT) images of 200 individuals (100 females, 100 males) aged 19–65 years. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…The approach begins by extracting features from DGA data using the ratio method and Multiscale sample entropy (MSE), then reconstructs the state space of the feature data using recursive plots to generate interpretable two-dimensional image features. …”
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YOLOv8m for Automated Pepper Variety Identification: Improving Accuracy with Data Augmentation by Madalena de Oliveira Barbosa, Fernanda Pereira Leite Aguiar, Suely dos Santos Sousa, Luana dos Santos Cordeiro, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

“…A dataset comprising 1476 annotated images was utilized and significantly expanded through data augmentation techniques, including rotation, flipping, and contrast adjustments. …”
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An enhanced multimodal fusion deep learning neural network for lung cancer classification by Sangeetha S.K.B, Sandeep Kumar Mathivanan, P Karthikeyan, Hariharan Rajadurai, Basu Dev Shivahare, Saurav Mallik, Hong Qin

“…The proposed Multimodal Fusion Deep Neural Network (MFDNN) architecture design effectively integrates information from different modalities (e.g., medical imaging, genomics, clinical data) to enhance lung cancer diagnostic accuracy. …”
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Development and Operation of a Global‐Scale Seismographic Network: The IRIS/USGS GSN by Peter Davis

“…The network's breadth of coverage enables images of great earthquakes impossible to obtain from regional networks or array data alone. …”
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Covering the Monitoring Network: A Unified Framework to Protect E-Commerce Security by Lirong Qiu, Jie Li

“…Multimedia applications in smart electronic commerce (e-commerce), such as online trading and Internet marketing, always face security in storage and transmission of digital images and videos. This study addresses the problem of security in e-commerce and proposes a unified framework to analyze the security data. …”
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Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior. by Stefano van Gogh, Subhadip Mukherjee, Jinqiu Xu, Zhentian Wang, Michał Rawlik, Zsuzsanna Varga, Rima Alaifari, Carola-Bibiane Schönlieb, Marco Stampanoni

“…Unfortunately though, obtaining high-quality images is challenging. Grating fabrication defects and photon starvation lead to high noise amplitudes in the measured data. …”
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Deep learning with data transformation improves cancer risk prediction in oral precancerous conditions by John Adeoye, Yuxiong Su

“…Therefore, this study investigates whether tabular-to-image data conversion and deep learning (DL) based on convolutional neural networks (CNNs) can improve malignant transformation prediction compared to traditional classifiers. …”
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