Masked and Noise-Masked Multimodal Brain Tumor Image Segmentation Using SegFormer and Shared Encoder Framework by K. Hemalatha, P. R. Vishnu Vardhan, Alfred Dharmaraj Aravindraj, S. Hari Hara Sudhan

“…Medical image segmentation is a critical task in clinical diagnosis and treatment, particularly for brain tumor analysis using imaging modalities such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans. …”
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Spatial analysis of femtosecond laser generated plasma using principal component analysis by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…In this work, principal component analysis is applied to experimental images of plasma generated during femtosecond laser machining of silicon to calculate the orthogonal spatial patterns of the plasma variance (plasma modes), and to identify which sample variance (sample modes) are associated with these plasma modes. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

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Greta Garbo and the Stock Cube: Film-themed Sweepstakes with Commercial Purposes in the Years of Fascism by Mariapia Comand

“…The article also explores the issue of the right to one’s own image, identifying a link between the emergence of image rights and the ephemeral dimension. …”
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Atrous Convolution-Based Fusion Attention Mechanism for Brain Tumor Segmentation by Abhishek Jadhav, Akhtar Rasool, Manasi Gyanchandani

“…The results highlight robustness and adaptability of the proposed architecture, underlining its potential to address critical challenges in brain tumor segmentation and advance the state-of-the-art in medical image analysis.…”
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Img2Neuro: brain-trained neural activity encoders for enhanced object recognition by Mona A Aboelnaga, Mohamed W El-Kharashi, Seif Eldawlatly

“…In our experiments, we examined the classification performance when Img2Neuro is used as a feature extractor compared to using the images as direct input to the classifier, using five different classifiers; namely, linear discriminant analysis, perceptron, logistic regression, ridge classifier, and a single-layer neural network. …”
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Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…This review focuses on integrating AI with Computer-Aided Sperm Analysis (CASA) systems to improve assessments of sperm motility, morphology, and DNA integrity. …”
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Exploring the History of Cultural Interactions through Visual Material Opportunities and Challenges in the Digital Age by Bornet, Philippe

“…Since the end of the 20th century, images have been a crucial entry point for cultural studies, and sophisticated tools for their analysis have been developed. …”
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Automatic Measurement in Metallography by A. G. Anisovich, M. I. Markevich, Vanchinkhuu Jigmeddorj

“…The purpose of this work was to determine the time spent on quantitative metallographic analysis in some image processing programs presented on the Belarusian market. …”
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New approaches for capturing and estimating variation in complex animal color patterns from digital photographs: application to the Eastern Box Turtle (Terrapene carolina) by Erik Maki, Tilmann Glimm, Paramahansa Pramanik, Ylenia Chiari, Maria Kiskowski

“…From our estimates of the measurement noise due to image acquisition and analysis, we found that the contrast differences reflected true pattern variations between individual turtles, whereas differences in the average size of objects were influenced by both individual turtle variation and measurement inconsistencies. …”
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TransTab: A transformer-based approach for table detection and tabular data extraction from scanned document images by Yongzhou Wang, Wenliang Lv, Weijie Wu, Guanheng Xie, BiBo Lu, ChunYang Wang, Chao Zhan, Baishun Su

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Advances in characterization of black carbon particles and their associated coatings using the soot-particle aerosol mass spectrometer in Singapore, a complex city environment by M. Ma, M. Ma, L.-H. Rivellini, Y. Zong, Y. Zong, M. Kraft, M. Kraft, L. E. Yu, L. E. Yu, A. K. Y. Lee

“…Furthermore, PMF<span class="inline-formula">_all</span> revealed concurrent LO-OOA and nitrate formation during daytime, whereas photochemical production of MO-OOAs was linked to acidic sulfate formation, indicating the importance of investigating the interaction between SOA and IA formation and their mixing state in complex city environments.</p>…”
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Exploring salinity induced adaptations in marine diatoms using advanced photonic techniques by Julijana Cvjetinovic, Yekaterina D. Bedoshvili, Nickolai A. Davidovich, Eugene G. Maksimov, Ekaterina S. Prikhozhdenko, Daria A. Todorenko, Daria V. Bodunova, Olga I. Davidovich, Igor S. Sergeev, Dmitry A. Gorin

“…This research provides a comprehensive analysis of marine diatoms, specifically Nitzschia sp., across varying salinity levels, integrating fluorescence lifetime imaging microscopy (FLIM), combined photoacoustic and fluorescence tomographies (PAFT), and ultrastructural examinations using transmission electron microscopy. …”
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AI-Generated Mnemonic Images Improve Long-Term Retention of Coronary Artery Occlusions in STEMI: A Comparative Study by Zahraa Alomar, Meize Guo, Tyler Bland

“…Experimental students also reported significantly higher situational interest in the mnemonic-based images over traditional images. AI-generated mnemonic images can effectively improve long-term retention of complex ECG interpretation skills and enhance student engagement and preference, highlighting generative AI’s potential as a valuable cognitive tool in image analysis during medical education.…”
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The After Image Phenomenon between Immaterial and Hyper-Material Architectures: Hypothesis on the Influence of Italian Architecture at the Time of the Cold War by Olivia Longo

“…From this analysis, the research highlights both the conscious and unconscious origins of a complex process of dematerialization that has characterized some more recent architectures, oriented towards the rejection of compositional processes based on the composition of forms, instead privileging abstract design concepts more closely linked to the user's emotional and perceptual sphere. …”
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Detection of Photovoltaic Arrays in High-Spatial-Resolution Remote Sensing Images Using a Weight-Adaptive YOLO Model by Zhumao Lu, Xiaokai Meng, Jinsong Li, Hua Yu, Shuai Wang, Zeng Qu, Jiayun Wang

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BaAM-YOLO: a balanced feature fusion and attention mechanism based vehicle detection network in aerial images by Xunxun Zhang, Xu Zhu

“…Vehicle detection in aerial imagery is of paramount importance for various intelligent transportation applications, including vehicle tracking, traffic control, and traffic behavior analysis. However, this task presents significant challenges due to factors such as scale variance, the presence of small vehicles, and complex scenes conditions. …”
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Urban Sprawl Monitoring by VHR Images Using Active Contour Loss and Improved U-Net with Mix Transformer Encoders by Miguel Chicchon, Francesca Colosi, Eva Savina Malinverni, Francisco James León Trujillo

“…The integration of active contour loss functions further enhances the model’s ability to delineate complex urban boundaries, addressing the challenges posed by the heterogeneous landscape surrounding the archaeological complex of Chan Chan. …”
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An interpretable framework for gastric cancer classification using multi-channel attention mechanisms and transfer learning approach on histopathology images by Muhammad Zubair, Muhammad Owais, Taimur Hassan, Malika Bendechache, Muzammil Hussain, Irfan Hussain, Naoufel Werghi

“…Abstract The importance of gastric cancer (GC) and the role of deep learning techniques in categorizing GC histopathology images have recently increased. Identifying the drawbacks of traditional deep learning models, including lack of interpretability, inability to capture complex patterns, lack of adaptability, and sensitivity to noise. …”
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