LCMorph: Exploiting Frequency Cues and Morphological Perception for Low-Contrast Road Extraction in Remote Sensing Images by Xin Li, Shumin Yang, Fan Meng, Wenlong Li, Zongchi Yang, Ruoyu Wei

“…Road extraction in remote sensing images is crucial for urban planning, traffic navigation, and mapping. …”
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EEG Source Imaging Guided by Spatiotemporal Specific fMRI: Toward an Understanding of Dynamic Cognitive Processes by Thinh Nguyen, Thomas Potter, Trac Nguyen, Christof Karmonik, Robert Grossman, Yingchun Zhang

“…This spatiotemporal fMRI constrained source imaging method was then implemented in a “sequential multievent-related potential” paradigm where motor activation is evoked by emotion-related visual stimuli. …”
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A Randomized Non‐overlapping Encryption Scheme for Enhanced Image Security in Internet of Things (IoT) Applications by Muhammad Aqeel, Arfan Jaffar, Muhammad Faheem, Muhammad Waqar Ashraf, Nadeem Iqbal, Shahid Yousaf, Hossam Diab

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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

“…Thus, the systematic review examines the role of AI in predicting breast cancer recurrence using clinical data, imaging data, and combined datasets. Support Vector Machine (SVM) and Neural Networks, especially when applied to combined data, demonstrate strong potential in improving prediction accuracy. …”
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Automatic Detection of Small Intestinal Hookworms in Capsule Endoscopy Images Based on a Convolutional Neural Network by Tao Gan, Yulin Yang, Shuaicheng Liu, Bing Zeng, Jinlin Yang, Kai Deng, Junchao Wu, Li Yang

“…We assessed its performance by calculating the area under the receiver operating characteristic curve and its sensitivity, specificity, and accuracy using an independent test set of 10,529 small-bowel images including 531 images of hookworms. The trained CNN system required 403 seconds to evaluate 10,529 test images. …”
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Diffusion Tensor Imaging Evaluation of Corticospinal Tract Hyperintensity in Upper Motor Neuron-Predominant ALS Patients by Venkateswaran Rajagopalan, Didier Allexandre, Guang H. Yue, Erik P. Pioro

“…Amyotrophic lateral sclerosis (ALS) patients with predominant upper motor neuron (UMN) signs occasionally have hyperintensity of corticospinal tract (CST) on T2- and proton-density-(PD-) weighted brain images. Diffusion tensor imaging (DTI) was used to assess whether diffusion parameters along intracranial CST differ in presence or absence of hyperintensity and correspond to UMN dysfunction. …”
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Les Rois mages, images du pouvoir des rois en Occident (xiie-xvie siècle) by Doina Elena Craciun

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L’image de la guerre dans L’Élan (1915-1916), un refoulement apparent by Hadrien Viraben

“…This violence, located between representation and a latent image, could thus materialise at any moment in the pages of the magazine.…”
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Magnifying Endoscopy with Narrow Band Imaging to Determine the Extent of Resection in Transoral Robotic Surgery of Oropharyngeal Cancer by Ichiro Tateya, Seiji Ishikawa, Shuko Morita, Hiroyuki Ito, Tatsunori Sakamoto, Toshinori Murayama, Yo Kishimoto, Tomomasa Hayashi, Makiko Funakoshi, Shigeru Hirano, Morimasa Kitamura, Mami Morita, Manabu Muto, Juichi Ito

“…Magnifying endoscopy with narrow band imaging (ME-NBI) is an innovative optical technology that provides high-resolution images and is useful in detecting early superficial pharyngeal cancers, which are difficult to detect by standard endoscopy. …”
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Correction: Application of deep learning and feature selection technique on external root resorption identification on CBCT images by Nor Hidayah Reduwan, Azwatee Abdul Aziz, Roziana Mohd Razi, Erma Rahayu Mohd Faizal Abdullah, Seyed Matin Mazloom Nezhad, Meghna Gohain, Norliza Ibrahim

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Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging by Lukas Hingerl, Bernhard Strasser, Simon Schmidt, Korbinian Eckstein, Guglielmo Genovese, Edward J. Auerbach, Andrea Grant, Matt Waks, Andrew Wright, Philipp Lazen, Alireza Sadeghi-Tarakameh, Gilbert Hangel, Fabian Niess, Yigitcan Eryaman, Gregor Adriany, Gregory Metzger, Wolfgang Bogner, Małgorzata Marjańska

“…NeuroImage…”
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Retracted: Analysis and Evaluation of Ecological Environment Monitoring Based on PIE Remote Sensing Image Processing Software by Journal of Robotics

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Quantifying Optical Microangiography Images Obtained from a Spectral Domain Optical Coherence Tomography System by Roberto Reif, Jia Qin, Lin An, Zhongwei Zhi, Suzan Dziennis, Ruikang Wang

“…International Journal of Biomedical Imaging…”
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The Impact of Optical Undersampling on the Ca2+ Signal Resolution in Ca2+ Imaging of Spontaneous Neuronal Activity by Katarina D. Milicevic, Violetta O. Ivanova, Tina N. Brazil, Cesar A. Varillas, Yan M.D. Zhu, Pavle R. Andjus, Srdjan D. Antic

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THE CONSTRUCTION OF INDIGENOUS IDENTITY BASED ON PESANTREN; ANALYSIS OF FAMILY LEADERSHIP FACTORS IN SHAPING SELF-IMAGE OF CHILDREN by Agus Nu'man

“…Therefore, the purpose of this research is to understand the formation of a unique self-image through the kyai's leadership. This study employs a qualitative approach and a case study methodology. …”
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Early Warning and Management Method of Abnormal Performance of Tourist Scenic Spots Assisted by Image Recognition Technology by Zhaozhen Song, Jing Lu

“…This study uses the convolutional neural network (CNN) method to realize the image recognition technology of the characteristics of the scenic area’s flow of people and tourists’ preferences, and these characteristics will be displayed to the managers in the form of images. …”
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Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets. by Qifeng Liu, Yong Han, Lu Shen, Jialei Du, Marzia Hoque Tania

“…Shoulder X-ray images typically have low contrast and high noise levels, making it challenging to distinguish and identify subtle anatomical structures. …”
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High-performance laser speckle contrast image vascular segmentation without delicate pseudo-label reliance by Shenglan Yao, Huiling Wu, Suzhong Fu, Shuting Ling, Kun Wang, Hongqin Yang, Yaqin He, Xiaolan Ma, Xiaofeng Ye, Xiaofei Wen, Qingliang Zhao

Subjects: “…Biomedical imaging…”
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