Towards virtual painting recolouring using vision transformer on x-ray fluorescence datacubes by Alessandro Bombini, Fernando García-Avello Bofías, Francesca Giambi, Chiara Ruberto

“…We thus train a set of models to assign coloured images to embedded XRF images. We report here the devised pipeline performances in terms of visual quality metrics, and we close on a discussion on the results.…”
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An explainable unsupervised learning approach for anomaly detection on corneal in vivo confocal microscopy images by Ningning Tang, Qi Chen, Yunyu Meng, Daizai Lei, Li Jiang, Yikun Qin, Xiaojia Huang, Fen Tang, Shanshan Huang, Qianqian Lan, Qi Chen, Lijie Huang, Rushi Lan, Xipeng Pan, Huadeng Wang, Fan Xu, Wenjing He

“…The model’s performance was evaluated on both internal and external datasets, and comparative analyses were conducted against existing anomaly detection methods, including generative adversarial networks (AnoGAN), generate to detect anomaly model (G2D), and discriminatively trained reconstruction anomaly embedding model (DRAEM). …”
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Ensuring integrity and security of medical image transmission in IoMT using highly imperceptible and robust watermarking approach by Priyanka Singh, K. Jyothsna Devi, Tousif Khan Nizami, Choudhary Shyam Prakash, Hiren Kumar Thakkar, Syed Abid Hussain, Saurav Mallik

“…For precise diagnosis, patient’s electronic health record (EHR) and LTDRB are embedded in RoNI using hybrid DWT-SVD. No embedding is done in RoI to maintain its integrity and high visual quality. …”
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PolyAttractNet: Graph-Based Polygonal Segmentation of Building Footprints Using Attraction Field Maps by M. Kamran, M. Moein Sheikholeslami, G. Sohn

“…Our approach incorporates Attraction Field Maps (AFMs) within a Graph Neural Network (GNN) framework, combined with an enhanced Mask R-CNN backbone. …”
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Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…Additionally, different attention mechanisms, including efficient channel attention (ECA), coordinate attention (CA), and CBAM, were individually embedded into the generator's residual module. These variations allowed for a detailed comparison of the effects of different attention mechanisms on network performance and the visual quality of the generated images. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Consequently, an improved version of YOLO11, embedding attention mechanisms to allow the network to focus on the most relevant details in each image, was trained, tested, and validated on the provided dataset, showing an overall improvement of quantitative metrics such as precision and recall, while retaining enough computational efficiency to allow real-time implementation on constrained devices. …”
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Discriminative spatial localisation in confocal reflectance and carbon dots-based fluorescence imaging using mixed-mode endoscopic scanner by Yang Sing Leong, Mohd Hadri Hafiz Mokhtar, Nur Afifah Ahmad Nazri, Mohd Hafiz Abu Bakar, Mohd Saiful Dzulkefly Zan, Norhana Arsad, Peer Mohamed Abdul, Ahmad Ashrif A. Bakar

“…The fluorescence detection capability was first verified using fluorescent microspheres and CD-embedded polymer film, followed by confocal reflectance and CDs-based fluorescence imaging on labelled fibrous network and plant samples. …”
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Peptide vaccine targeting mutated GNAS: a potential novel treatment for pseudomyxoma peritonei by Ben Davidson, Kjersti Flatmark, Annette Torgunrud, Karianne G Fleten, Hedvig V Juul, Nadia Mensali, Christin Lund-Andersen, Else Marit Inderberg

“…Fresh PMP tumor samples were analyzed by mass cytometry using a panel of 35 extracellular markers, and cellular subpopulations were clustered and visualized using the visual stochastic network embedding analysis tool.Results GNAS mutations were detected in 22/25 tumor samples (88%; R201H and R201C mutations detected in 16 and 6 cases, respectively). …”
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Episode-specific cortical functional connectome reorganization and neurobiological correlates in bipolar disorder: a cross-sectional study by Xiaobo Liu, Bin Wan, Xi-Han Zhang, Ruifang Cui, Siyu Long, Ruiyang Ge, Lang Liu, Jinming Xiao, Zhen-Qi Liu, Jiadong Yan, Ke Xie, Meng Yao, Xin Wen, Sanwang Wang, Yujun Gao

“…The mBD showed expanded visual and prefrontal regions but compressed motor and precuneus regions. …”
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Leveraging transformer models to predict cognitive impairment: accuracy, efficiency, and interpretability by Kai Ma, Junzhi Zhang, Xinhang Huang, Mengyang Wang

“…Preprocessing involved separate embedding layers for categorical data and feed-forward networks for continuous data. …”
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Reshaped functional connectivity gradients in acute ischemic stroke by Cemal Koba, Joan Falcó-Roget, Alessandro Crimi

“…We found that lag correction enhanced the functional connectivity gradients most prominently in the second gradient, on which visual and somatomotor function is concentrated. Additionally, we identified significant functional deviations primarily within somatomotor, visual, and ventral attention networks, correlating with behavioral impairments. …”
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Automatic Detection of Tiny Drainage Outlets and Ventilations on Flat Rooftops from Aerial Imagery by L. Arzoumanidis, W. Li, W. Li, J. Knechtel, Y. Kosmayadi, Y. Dehbi

“…Embedding these identified objects into GIS or BIM models represents an initial step towards coarse-to-fine visual recognition, enabling customized semantic mission planning for autonomous exploration and inspection using Unmanned Aerial Vehicles (UAVs). …”
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VMKLA-UNet: vision Mamba with KAN linear attention U-Net by Chenhong Su, Xuegang Luo, Shiqing Li, Li Chen, Juan Wang

“…The encoder of this architecture harnesses the VMamba framework, which employs a bidirectional state-space model for global visual context modeling and positional embedding, thus enabling efficient feature extraction and representation learning. …”
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Multi-Layered Security Framework Combining Steganography and DNA Coding by Bhavya Kallapu, Avinash Nanda Janardhan, Rama Moorthy Hejamadi, Krishnaraj Rao Nandikoor Shrinivas, Saritha, Raghunandan Kemmannu Ramesh, Lubna A. Gabralla

“…The framework leverages advanced methods such as encrypted data embedding in images, DNA sequence coding, QR codes, and least significant bit (LSB) steganography. …”
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Rapid and accurate detection of peanut pod appearance quality based on lightweight and improved YOLOv5_SSE model by Zhixia Liu, Xilin Zhong, Chunyu Wang, Guozhen Wu, Fengyu He, Jing Wang, Dexu Yang

“…Its weight size is a mere 7.6% of the original model’s, while the detection accuracy and mean average precision (mAP) reach 98.3% and 99.3%, respectively, representing improvements of 1.6 and 0.7 percentage points over the original YOLOv5s model.DiscussionThe results underscore the superiority of the SSE-YOLOv5s model, which achieves a maximum mAP of 99.3% with a minimal model size of 1. 1MB and a peak FPS of 192.3. This optimized network model excels in rapidly, efficiently, and accurately detecting the appearance quality of mixed multi-target peanut pods, making it suitable for deployment on embedded devices. …”
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Exploring the subtle and novel renal pathological changes in diabetic nephropathy using clustering analysis with deep learning by Tomohisa Yabe, Yuko Tsuruyama, Kazutoshi Nomura, Ai Fujii, Yuto Matsuda, Keiichiro Okada, Shogo Yamakoshi, Yuya Hamabe, Shogo Omote, Akihiro Shioya, Norifumi Hayashi, Keiji Fujimoto, Yuki Todo, Tatsuro Tanaka, Sohsuke Yamada, Akira Shimizu, Katsuhito Miyazawa, Hitoshi Yokoyama, Kengo Furuichi

“…We performed invariant information clustering (IIC)-based clustering on glomerular images obtained from nephrectomized kidneys of patients with and without diabetes. We also used visualizing techniques (gradient-weighted class activation mapping (Grad-CAM) and generative adversarial networks (GAN)) to identify the novel and early pathological changes on light microscopy in diabetic nephropathy. …”
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TPDTNet: Two-Phase Distillation Training for Visible-to-Infrared Unsupervised Domain Adaptive Object Detection by Siyu Wang, Xiaogang Yang, Ruitao Lu, Shuang Su, Bin Tang, Tao Zhang, Zhengjie Zhu

“…Subsequently, a spatial-dimension convolution is integrated into the backbone network. This convolutional operation is embedded following standard convolution to mitigate the loss of detailed features. …”
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Research on Surface Defect Detection of Rare-Earth Magnetic Materials Based on Improved SSD by Bin Zhang, Shuqi Fang, Zhixi Li

“…First of all, the multiscale receptive field module is embedded into the backbone network of the algorithm to improve the feature extraction ability of the model. …”
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Detecting Ineffective Efforts during Expiration for Neonates with Attention RNNs by Oprea Camelia, Stegemann Lara, Olivier Lena Sophie, Buglowski Mateusz, Becker Sabine, Orlikowsky Thorsten, Kowalewski Stefan, Schoberer Mark, Stollenwerk André

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A Book of Poems in Internet Space: an Intermedial Aspect by E. A. Abrosimova, Yu. D. Kravchenko

“…It is concluded that technological poetry, paradoxically, strengthens traditional book forms, but also has an independent value, visualizing poetic images and metaphors. Internet technologies can be “embedded” into the structure and composition of a poetry book at various levels: it can be relative autonomy; interaction at the level of a conceptual metaphor explicated with the help of Internet media (Google maps); almost complete fusion of media.…”
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