Attention-Based Dual-Knowledge Distillation for Alzheimer’s Disease Stage Detection Using MRI Scans by Chandita Barman, Sudhanshu Singh, Manob Jyoti Saikia, Shovan Barma

“…The analysis shows that by leveraging the complementary strengths of ViT and ST, the D-KD strategy enhances generalization in data-limited scenarios and provides a reliable, resource-efficient solution for MRI-based AD diagnosis.…”
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Spatially resolved metabolomics: From metabolite mapping to function visualising by Xinyue Min, Yiran Zhao, Meng Yu, Wenchao Zhang, Xinyi Jiang, Kaijing Guo, Xiangyi Wang, Jianpeng Huang, Tong Li, Lixin Sun, Jiuming He

“…MSI not only enhances our understanding of disease aetiology but also aids in the identification of biomarkers and the assessment of drug toxicity and therapeutic efficacy by converting invisible metabolites and biological networks into visually rendered image data. In this comprehensive review, we illuminate the key advancements in MSI‐driven spatially resolved metabolomics over the past few years. …”
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Initial results from a hydroacoustic network to monitor submarine lava flows near Mayotte Island by Bazin, Sara, Royer, Jean-Yves, Dubost, Flavie, Paquet, Fabien, Loubrieu, Benoît, Lavayssière, Aude, Deplus, Christine, Feuillet, Nathalie, Jacques, Éric, Rinnert, Emmanuel, Thinon, Isabelle, Lebas, Élodie, Pierre, Delphine, Retailleau, Lise, Saurel, Jean-Marie, Sukhovich, Alexey, Bonnet, Robin, the REVOSIMA group

“…A systematic and robust detection of these specific signals would hence contribute to monitor active submarine eruptions in the absence of seafloor deep-tow imaging or swath-bathymetry surveys of the active area.…”
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Underwater SLAM Meets Deep Learning: Challenges, Multi-Sensor Integration, and Future Directions by Mohamed Heshmat, Lyes Saad Saoud, Muayad Abujabal, Atif Sultan, Mahmoud Elmezain, Lakmal Seneviratne, Irfan Hussain

“…In addition, we introduce a novel classification framework for underwater SLAM based on its integration with underwater wireless sensor networks (UWSNs). UWSNs offer a collaborative framework that enhances localization, mapping, and real-time data sharing among AUVs by leveraging acoustic communication and distributed sensing. …”
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Random Undersampled Digital Elevation Model Super-Resolution Based on Terrain Feature-Aware Deep Learning Network by Ziqiang Huo, Meng Xi, Jingyi He, Zhengjian Li, Jiabao Wen

“…The digital elevation model (DEM) provides important data support for geographic information analysis. …”
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Automated bone scan index as predictors of survival in prostate cancer by Joko Wiyanto, Rini Shintawati, Budi Darmawan, Basuki Hidayat, Achmad Kartamihardja

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Enhanced HER-2 prediction in breast cancer through synergistic integration of deep learning, ultrasound radiomics, and clinical data by Meijuan Hu, Lianying Zhang, Xiao Wang, Xuehua Xiao

“…We included ultrasound images and clinicopathologic data from 210 female breast cancer patients, employing a Generative Adversarial Network (GAN) to enhance image clarity and segment the region of interest (ROI) for Radiomics feature extraction. …”
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Fine-Grained Land Use Remote Sensing Mapping in Karst Mountain Areas Using Deep Learning with Geographical Zoning and Stratified Object Extraction by Bo Li, Zhongfa Zhou, Tianjun Wu, Jiancheng Luo

“…The approach provides a robust mapping framework for generating fine-grained land use data in karst landscapes, which is beneficial for supporting academic research, governmental analysis, and related applications.…”
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GSD-YOLO: A Lightweight Decoupled Wheat Scab Spore Detection Network Based on Yolov7-Tiny by Dongyan Zhang, Wenfeng Tao, Tao Cheng, Xingen Zhou, Gensheng Hu, Hongbo Qiao, Wei Guo, Ziheng Wang, Chunyan Gu

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A Comprehensive Framework for Out-of-Distribution Detection and Open-Set Recognition in SAR Targets by Fei Gao, Heqing Huang, Jun Wang, Jinping Sun, Amir Hussain, Huiyu Zhou

“…The rejection of outlier data in synthetic aperture radar (SAR) image analysis presents a significant challenge, particularly in the scenarios of out-of-distribution (OOD) detection and open set recognition (OSR). …”
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Age- and sex-specific deterioration on bone and osteocyte lacuno-canalicular network in a mouse model of premature aging by Dilara Yılmaz, Francisco C. Marques, Lorena Gregorio, Jérôme Schlatter, Christian Gehre, Thurgadevi Pararajasingam, Wanwan Qiu, Neashan Mathavan, Xiao-Hua Qin, Esther Wehrle, Gisela A. Kuhn, Ralph Müller

“…Moreover, a new quantitative in silico image analysis pipeline is used to evaluate the alterations in the osteocyte network with aging. …”
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FldtMatch: Improving Unbalanced Data Classification via Deep Semi-Supervised Learning with Self-Adaptive Dynamic Threshold by Xin Wu, Jingjing Xu, Kuan Li, Jianping Yin, Jian Xiong

“…Through theoretical analysis and extensive experiments, we have fully proven that FldtMatch can overcome the negative impact of unbalanced data. …”
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A framework for detecting and predicting highway traffic anomalies via multimodal fusion and heterogeneous graph neural networks. by Shaowei Sun, Mingzhou Liu

“…The framework integrates static and dynamic traffic data, such as video images, traffic flow, vehicle speed, and tunnel weather conditions. …”
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Gradual poisoning of a chest x-ray convolutional neural network with an adversarial attack and AI explainability methods by Stephen B. Lee

“…The study uses various poisoned datasets of different compositions (2%, 16.7% and 100% ratios of poisoned data) and two different test sets (a normal set of test data and one that contained poisoned images) to study the effects of BadNets. …”
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network by Pyae Phyo Kyaw, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…The proposed approach employs a hybrid detection method that first applies a 2D depth image detection model before converting the detected region into a color point cloud, allowing for robust feature extraction. …”
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Advancing brain tumor diagnosis: Deep siamese convolutional neural network as a superior model for MRI classification by Gowtham Murugesan, Pavithra Nagendran, Jeyakumar Natarajan

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Explainable Artificial Intelligence-Based Diseases Diagnosis From Unstructured Clinical Data and Decision Making Using Blockchain Technologies by Sumathi M., S. P. Raja

“…The ability to treat emergency patients entirely depends on the particular hospitals. The clinical data includes numerical results, text prescriptions, scanned images, etc. …”
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Military Training Aircraft Structural Health Monitoring Leveraging an Innovative Biologically Inspired Feedback Mechanism for Neural Networks by Tarek Berghout

“…Traditional methods, such as modal analysis, often struggle to handle the multivariate complexity of operational conditions and data variability. …”
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A Flexible Constrained ICA Approach for Multisubject fMRI Analysis by Hanlu Yang, Trung Vu, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali

“…Large-scale analysis of functional connectivity within intrinsic brain networks using functional magnetic resonance imaging (fMRI) data has been widely used for identifying biomarkers in various psychiatric disorders. …”
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Trend analysis of the application of multispectral technology in plant yield prediction: a bibliometric visualization analysis (2003–2024) by Jiahui Xu, Jiahui Xu, Jiahui Xu, Yalong Song, Yalong Song, Yalong Song, ZhaoYu Rui, ZhaoYu Rui, Zhao Zhang, Zhao Zhang, Can Hu, Can Hu, Can Hu, Long Wang, Long Wang, Long Wang, Wentao Li, Wentao Li, Wentao Li, Jianfei Xing, Jianfei Xing, Jianfei Xing, Xufeng Wang, Xufeng Wang, Xufeng Wang

“…Multispectral imaging technology uses sensors capable of detecting spectral information across various wavelength ranges to acquire multi-channel target data. …”
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