En plaque meningioma of the temporal bone: A systematic review on the imaging and management of a rare tumor by Arianna Burato, Giuseppe Maruccio, Livio Presutti, Ignacio Javier Fernandez, Gabriele Molteni, Giulia Molinari

“…Conclusions: Meningioma en plaque (MEP) is a rare tumour, particularly when it originates within the temporal bone. Appropriate imaging in patients complaining of audiological sign and symptoms is mandatory to avoid diagnostic delays, avoid inappropriate surgical procedures, and adopt the appropriate treatment.…”
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A Comparative Study of Supervised and Self-Supervised Denoising Techniques for Defect Segmentation in Industrial CT Imaging by Virginia Florian, Jiayang Shi, Willem Jan Palestijn, Daniël M. Pelt, K. Joost Batenburg, Thomas Lang, Christoph Heinzl, Christian Kretzer, Stefan Kasperl, Dominik Wolfschläger, Robert H. Schmitt

“… X-ray computed tomography (CT) is a powerful imaging tool for defect detection, segmentation and feature extraction in industrial applications as it enables non-destructive evaluation. …”
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Comparison of intensity normalization methods in prostate, brain, and breast cancer multi-parametric magnetic resonance imaging by Savannah R. Duenweg, Samuel A. Bobholz, Allison K. Lowman, Aleksandra Winiarz, Biprojit Nath, Michael J. Barrett, Fitzgerald Kyereme, Stephanie Vincent-Sheldon, Peter LaViolette

“…In a cohort of glioblastoma (GBM) patients, we tested these methods in T1 pre- and post-contrast enhancement (T1, T1C), fluid attenuated inversion recovery (FLAIR), and apparent diffusion coefficient (ADC) maps. Finally, in the breast cancer cohort, we tested methods on T1-weighted nonfat-suppressed images. …”
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Real world perspectives on endometriosis disease phenotyping through surgery, omics, health data, and artificial intelligence by Camran R. Nezhat, Tomiko T. Oskotsky, Joshua F. Robinson, Susan J. Fisher, Angie Tsuei, Binya Liu, Juan C. Irwin, Brice Gaudilliere, Marina Sirota, David K. Stevenson, Linda C. Giudice

“…Integrating single-cell and other omic disease data with clinical and surgical metadata can identify multiple disease subtypes with translation to novel diagnostics and therapeutics. …”
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Is preoperative imaging of sentinel lymph node in breast cancer necessary? A retrospective case control study by Michael J. Reinhardt, Björn Ohmstede, Luz Angela Torres-de la Roche, Rudy Leon De Wilde

“…Group 1 included patients who underwent SLN extirpation without preoperative SLN imaging, and Group 2 included patients who underwent SLN imaging prior to surgery. …”
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SAR Image Simulation for Crater Terrain Using Formation Theory-Based Modeling and Hybrid Ray-Tracing by Ya-Ting Zhou, Yongsheng Zhou, Qiang Yin, Fei Ma, Fan Zhang

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Transverse cracking in glass fibre-reinforced composites monitored with synchrotron X-ray multi-projection imaging by Elise Van Vlierberghe, Jeroen Soete, Eleni Myrto Asimakopoulou, Zisheng Yao, Julia Rogalinski, Zhe Hu, Kannara Mom, Bratislav Lukić, Christian Breite, Pablo Villanueava Perez, Yentl Swolfs

“…  The first damage mechanism in composites in tension is transverse cracking, which is here studied in 3D at a kHz rate, using time-resolved X-ray multi-projection imaging. Radiographs taken at three angles with synchrotron radiation enabled the detection of crack propagation and other damage mechanisms related to the final failure of composites. …”
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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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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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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

“…These techniques may improve detail contrast but fail to maintain overall image clarity and the distinction between the target and the background. …”
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Evaluating the Incidence of Seizures and Its Relationship With Blood Glucose Levels in Tramadol Poisoning Patients Admitted to Imam Reza Hospital in Mashhad (Iran) From 2019 to 2020 by Seyed Reza Mousavi, Faezeh Jafari, Anahita Alizade Ghamsari, Mina AkbariRad, Majid Khadem-Rezaiyan, Seyed Amirhossein Mousavi, Sadaf Sadat Rafati

“…Conclusion: Seizures in tramadol poisoning may be related to the patient’s blood glucose levels.…”
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HUBUNGAN MINAT BELAJAR DENGAN HASIL BELAJAR FISIKA MELALUI MODEL PROJECT BASED LEARNING DI KELAS XI MIPA SMAN 6 KOTA BENGKULU by Endah Tri Wahyuningsih, Andik Purwanto, Rosane Medriati

“… Penelitian ini bertujuan untuk menentukan ada tidaknya hubungan signifikan antara minat belajar dengan hasil belajar fisika siswa melalui model Project Based Learning (PjBL) pada siswa kelas XI MIPA SMA Negeri 6 Kota Bengkulu. Jenis penelitian yang digunakan adalah penelitian Quasi Experimental dengan desain penelitian one-group pretest-posttest. …”
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PROJECT BASED LEARNING APPROACH TO IMPROVE STUDENTS’ ABILITY TO WRITE DESCRIPTIVE TEXT (A Classroom Action Research at Grade X SMAN I Bengkulu Selatan) by Vera Maria Shanti, Syahrial ., Irwan Koto

“…It was aimed to explain whether Project Based Learning can improve students’ ability in writing descriptive text and step of Project Based Learning which improved the students’ ability to write descriptive text at grade X of SMAN 1 Bengkulu Selatan in the 2015/2016 academic year. …”
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Upaya Meningkatkan Kemampuan Pemecahan Masalah dengan Menerapkan Model Pembelajaran Penemuan Berbantuan Lembar Kerja Peserta Didik di SMAN 3 Kota Bengkulu by Savittriani Savittriani, Andik Purwanto, Eko Swistoro

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MESO-CMOS Hybrid Circuits With Time-Multiplexing Technique for Energy and Area-Efficient Computing in Memory by Tzuping Huang, Linran Zhao, Yiming Han, Hai Li, Ian A. Young, Yaoyao Jia

Subjects: “…multiply-and-accumulate (MAC)…”
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Impact Assessment of Energy Transition Policy on Air Quality over a Typical District of the Pearl River Delta Region, China by Weidong Chen, Haixian Li, Yun Zhu, Jicheng Jang, Che-Jen Lin, Pen-Chi Chiang, Shuxiao Wang, Jia Xing, Tingting Fang, Jie Li, Qingshan Yang, Kaiming Zheng

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A Testing Framework for Joint Communication and Sensing in Synthetic Aperture Radars by Alex Piccioni, Roberto Alesii, Fortunato Santucci, Fabio Graziosi

Subjects: “…Integrated sensing and communication (ISAC)…”
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Effect of Ionizers on Indoor Air Quality and Performance of Air Cleaning Systems by Francisco J. Romay, Qisheng Ou, David Y. H. Pui

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Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning by Wenjun Liao, Xiangde Luo, Lu Li, Jinfeng Xu, Yuan He, Hui Huang, Shichuan Zhang

“…No significant sensitivity difference was found between contrast-enhanced and unenhanced CT images (p = 0.502) or repeated CT images (p = 0.815) during adaptive radiotherapy. …”
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Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging by Juliette Moreau, Juliette Moreau, Laura Mechtouff, Laura Mechtouff, David Rousseau, Omer Faruk Eker, Omer Faruk Eker, Yves Berthezene, Yves Berthezene, Tae-Hee Cho, Tae-Hee Cho, Carole Frindel, Carole Frindel

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