Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

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The relationship of ulnar variance with pathologies detected by magnetic resonance imaging in patients with chronic or subacute wrist pain by Süheyl Poçan, Levent Karakaş

“…Finally, triangular fibrocartilage complex (TFCC) ruptures were significantly more common in the positive-UV group (p = 0.023). …”
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Resting-state functional magnetic resonance imaging in bipolar affective disorder. A systematized umbrella review by K. V. Markin

“…Bipolar affective disorder (BD) is a complex mental illness that presents diagnostic challenges due to its heterogeneous nature. …”
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Wetland Scene Segmentation of Remote Sensing Images Based on Lie Group Feature and Graph Cut Model by Canyu Chen, Guobin Zhu, Xiliang Chen

“…However, wetland monitoring still faces significant challenges such as high manual costs and low image monitoring accuracy, primarily due to the complex composition of wetland terrain and diverse spectral characteristics, especially located in remote suburban areas. …”
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Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks by Grant Wardle, Teo Sušnjak

“…Our contributions inform the design and usability of interactive intelligent systems, with implications for applications in education, medical imaging, legal document analysis, and customer support. …”
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A novel MRI PET image fusion using shearlet transform and pulse coded neural network by Vella Satyanarayana, P. Mohanaiah

“…Experimental analysis using brain MRI/PET image databases shows that the proposed fusion method achieves better performance than the existing image fusion techniques and provides higher image quality and improved feature details.…”
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Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. …”
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Generating a Set of Reference Images for Reliable Condition Monitoring of Critical Infrastructure using Mobile Robots by Sotnikov O., Tymochko O., Bondarchuk S., Dzhuma L., Rudenko V., Mandryk Ya., Surkov K., Palonyi A., Olizarenko S.

“…The most essential result is substantiation of the approach to formation of a set of selective images based on scene correlation analysis and sufficiency of conservation of correlation connection of images in limits 0.6 ... 0.7. …”
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Discrete Element Simulations of Damage Evolution of NiAl-Based Material Reconstructed by Micro-CT Imaging by Arnas Kačeniauskas, Ruslan Pacevič, Eugeniuš Stupak, Jerzy Rojek, Marcin Chmielewski, Agnieszka Grabias, Szymon Nosewicz

“…Sintered porous materials present challenges for any modeling approach applied to simulate their damage evolution because of their complex microstructure, which is crucial for the initialization and propagation of microcracks. …”
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Mass‐Guided Single‐Cell MALDI Imaging of Low‐Mass Metabolites Reveals Cellular Activation Markers by James L. Cairns, Johanna Huber, Andrea Lewen, Jessica Jung, Stefan J. Maurer, Tobias Bausbacher, Stefan Schmidt, Pavel A. Levkin, Daniel Sevin, Kerstin Göpfrich, Philipp Koch, Oliver Kann, Carsten Hopf

“…Here, the PRISM‐MS (PRescan Imaging for Small Molecule – Mass Spectrometry) mass‐guided MSI workflow is presented, which enables space‐efficient single cell lipid and metabolite analysis. …”
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A Study on the Nested Rings CME Structure Observed by the WISPR Imager Onboard Parker Solar Probe by Shaheda Begum Shaik, Mark G. Linton, Sarah E. Gibson, Phillip Hess, Robin C. Colaninno, Guillermo Stenborg, Carlos R. Braga, Erika Palmerio

“…In this study, we present an analysis of a complex CME as observed by the Wide-Field Imager for Solar PRobe (WISPR) heliospheric imager during Parker’s seventh solar encounter. …”
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Coalmine image super-resolution reconstruction via fusing multi-dimensional feature and residual attention network by Jian CHENG, Lifei MI, Hao LI, Heping LI, Guangfu WANG, Yongzhuang MA

“…The complex underground environment of coal coalmines, influenced by lighting, coal dust, and water mist, often results in collected images with blurred details and missing textures, leading to decreased image resolution and posing significant limitations to the intelligent development of coal coalmine safety monitoring. …”
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Updates, Applications and Future Directions of Deep Learning for the Images Processing in the Field of Cranio-Maxillo-Facial Surgery by Luca Michelutti, Alessandro Tel, Massimo Robiony, Lorenzo Marini, Daniele Tognetto, Edoardo Agosti, Tamara Ius, Caterina Gagliano, Marco Zeppieri

“…These models are proving to be excellent tools for the clinician through their great potential and capacity for processing clinical data, in particular radiological images. The processing and analysis of imaging data, such as CT scans or histological images, by these algorithms offers aid to clinicians for image segmentation and classification and to surgeons in the surgical planning of a delicate and complex operation. …”
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Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images by Stefan Lucian Popa, Teodora Surdea-Blaga, Dan Lucian Dumitrascu, Andrei Vasile Pop, Abdulrahman Ismaiel, Liliana David, Vlad Dumitru Brata, Daria Claudia Turtoi, Giuseppe Chiarioni, Edoardo Vincenzo Savarino, Imre Zsigmond, Zoltan Czako, Daniel Corneliu Leucuta

“…<i>Conclusions:</i> This study demonstrates the potential of artificial intelligence, particularly Gemini, in aiding the creation of robust deep learning models for medical image analysis, solving not just simple binary classification problems but more complex, multi-class image classification tasks.…”
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Full grading detection method of earth-rock materials by combining preliminary screening and video image recognition by Huawei Zhou, Liang Zhu, Yihong Zhou, Dongfeng Li, Tao Fang, Chunju Zhao, Zhipeng Liang, Fang Wang, Lei Lei

“…This research addresses the challenges associated with identifying fine particles smaller than 5 mm and the occlusion issues between earth-rock materials during the grading detection process using image recognition. This study establishes a theoretical basis for subsequent investigations into the applications of complex construction sites, facilitating the swift and precise identification of the complete gradation of earth-rock materials within these environments.…”
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Deep MALDI-MS spatial omics guided by quantum cascade laser mid-infrared imaging microscopy by Lars Gruber, Stefan Schmidt, Thomas Enzlein, Huong Giang Vo, Tobias Bausbacher, James Lucas Cairns, Yasemin Ucal, Florian Keller, Martina Kerndl, Denis Abu Sammour, Omar Sharif, Gernot Schabbauer, Rüdiger Rudolf, Matthias Eckhardt, Stefania Alexandra Iakab, Laura Bindila, Carsten Hopf

“…Taken together, widely applicable and fast QCL-MIR imaging-based guidance of MSI ensures that more time is available for exploration and validation of new biology by default on-tissue tandem-MS analysis.…”
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AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Combining Mamba and transformer architectures, this hybrid design was well-suited for the timely analysis of complex anatomical structures segmentation in abdominal ultrasonography, where accuracy and efficiency are critical in clinical practice.ConclusionThe proposed mamba-transformer hybrid recognition framework simultaneously detects and segments multiple abdominal organs and lesions in ultrasound images, achieving superior segmentation accuracy, visualization effect, and inference efficiency, thereby facilitating improved medical image interpretation and near real-time diagnostic sonography that meets clinical needs.…”
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Characterization, Thermal Stability and Antibacterial Performance Evaluation of β-Cyclodextrin Inclusion Complexes with Lemon Essential Oil and Laurel Essential Oils by CAO Chuan, JIE Peng

“…The prepared inclusion complexes were comprehensively characterized using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and thermogravimetric analysis- differential scanning calorimetry (TGA-DSC). …”
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A novel knowledge distillation framework for enhancing small object detection in blurry environments with unmanned aerial vehicle-assisted images by Sayed Jobaer, Xue-song Tang, Yihong Zhang, Gaojian Li, Foysal Ahmed

“…To address the aforementioned issues, we develop a UAV-assisted small object detection dataset and propose a novel knowledge distillation method for object detection in blurry images in complex environments. Following this, we employ a technique known as self-supervised knowledge distillation, where we introduce a deblurring subnet module with the help of two attention modules, where both networks are trained in a fully-supervised manner. …”
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A new species of Tubella (Porifera: Spongillidae) for the Brazilian Amazon: how misidentification can mask a potential species complex by Gabriel NUNES, Márcio Reis CUSTÓDIO, Ulisses PINHEIRO

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