Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery by Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael

“…Recognizing targets in infra-red images is an important problem for defense and security applications. …”
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QuantumNet: An enhanced diabetic retinopathy detection model using classical deep learning-quantum transfer learning by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar, Diptee Chikmurge

“…QuantumNet demonstrates high accuracy and resource efficiency, providing a transformative solution for DR detection and broader medical imaging applications. The method is as follows: • Evaluate three classical deep learning models—CNN, ResNet50, and MobileNetV2—using the APTOS 2019 blindness detection dataset on Kaggle to identify the best-performing model for integration. • QuantumNet combines the best-performing classical DL model for feature extraction with a variational quantum classifier, leveraging quantum transfer learning for enhanced diagnostics, validated statistically and on Google Cirq using standard metrics. • QuantumNet achieves 94.11 % accuracy, surpassing classical DL models and prior research by 11.93 percentage points, demonstrating its potential for accurate, efficient DR detection and broader medical imaging applications.…”
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Design of an Incremental Music Teaching and Assisted Therapy System Based on Artificial Intelligence Attention Mechanism by Dapeng Li, Xiaoguang Liu

“…This study designs artificial intelligence models from the perspectives of attention mechanism, contextual information guidance, and distant dependencies combined with incremental music teaching for the segmentation of MS (multiple sclerosis) lesions and achieves the automatic and accurate segmentation of MS lesions through the multidimensional analysis of multimodal magnetic resonance imaging data, which provides a basis for physicians to quantitatively analyze MS lesions, thus assisting them in the diagnosis and treatment of MS. …”
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Nano-technological advancements in multimodal diagnosis and treatment by Dinesh Bhatia, Tania Acharjee, Shruti Shukla, Monika Bhatia

“…Nanomedicine, which is blazing new trails in modern healthcare, exploits the distinctive attributes of nanoparticles (NPs) to reimagine diagnosis and therapy. With imaging, this “magic ammunition” enhances the capability of MRI, a noninvasive, high-resolution technology that can pinpoint cancers with astonishing precision. …”
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LLM-Guided Crowdsourced Test Report Clustering by Ying Li, Ye Zhong, Lijuan Yang, Yanbo Wang, Penghua Zhu

“…Existing crowdsourced test report clustering methods have significant shortcomings in handling duplicate reports, ignoring the semantic information of screenshots, and underutilizing the relationship between text and images. The emergence of LLM provides a new way to solve these problems. …”
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Three-dimensional analysis using a dental model scanner: Morphological changes of occlusal appliances used for sleep bruxism under dry and wet conditions. by Aya Ozawa, Yoshitaka Suzuki, Kazuo Okura, Toshinori Okawa, Susumu Abe, Kohei Kamoi, Emi Uyama, Kenichi Hamada, Yoshizo Matuka

“…After being stored in water for one month for hydration, they were 3D-scanned and digitized on days 0, 28, and 56. 3D-deformation patterns were obtained by comparing the storage-D group data using a best-fit alignment program that aligns the nearest points of the corresponding images in a virtual space and calculates the difference between the two images. …”
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Breast Carcinoma, Intratumour Heterogeneity and Histological Grading, Using Geostatistics by Vénus Sharifi‐Salamatian, Anne de Roquancourt, Jean Paul Rigaut

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Embolic risk management in infective endocarditis: predicting the ‘embolic roulette’ by Adela Mihaela Șerban, Diana Pepine, Andreea Inceu, Alexandra Dadarlat, Alexandru Achim

“…The latest European Guidelines recommendations emphasise the role of imaging modalities like CT and MRI in detecting silent emboli and guiding therapeutic interventions, including the timely consideration of surgical options to mitigate embolic risks. …”
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The effect of angle between the graft and coronary artery on volumetric flow rate through the anastomosis by S.S. Galych, A.V. Rudenko, E.A. Nastenko, Yu.S. Starodub

“…Anastomoses were also investigated using X-ray contrast imaging in lateral and antero-posterior projections. …”
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A process inspired by fractals for embedding digital codes into additively manufactured components for supply chain security by Saber Nemati, Ali Mahmoudi, Kyungmin Ham, Tie Siemers, Shengmin Guo, Josephine Gutekunst, Joachim Schulz, Ian Taylor, Michele Maasberg, Leslie G. Butler

“…Results showed that the dumbbells met the ultimate tensile strength specification for the EOS AlF357 powder. X-ray imaging, both conventional and interferometry, was explored to detect the digital information. …”
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THE THEME OF THE DEPORTATION OF THE CHECHEN PEOPLE IN THE GRAPHIC CYCLE CROSSROADS OF MEMORY (1944-2019) BY RUSTAM YAKHIKHANOV by Zarema R. Khamzatova

“…Objectives: to uncover the ideological and moral aspects of the author’s graphic works, as well as to show the way the artist transforms his experiences into dynamic and memorable visual images; examine and analyze the ways in which the theme of deportation is embodied in the author’s works. …”
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Blood Glucose Control Using a Novel Continuous Blood Glucose Monitor and Repetitive Intravenous Insulin Boluses: Exploiting Natural Insulin Pulsatility as a Principle for a Future... by Nils K. Skjaervold, Dan Östling, Dag R. Hjelme, Olav Spigset, Oddveig Lyng, Petter Aadahl

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Intra-Cardiac Kinetic Energy and Ventricular Flow Analysis in Bicuspid Aortic Valve: Impact on Left Ventricular Function, Dilation Severity, and Surgical Referral by Ali Fatehi Hassanabad, Julio Garcia

“…All subjects underwent cardiac magnetic resonance imaging (MRI) examination. The LV mass was inferior in the controls than in the BAV patients (90 ± 26 g vs. 45 ± 17 g, <i>p</i> = 0.025), as well as the inferior ascending aorta diameter indexed (15.8 ± 2.5 mm/m² vs. 19.3 ± 3.5 mm/m², <i>p</i> = 0.005). …”
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Changes to Intermediary Metabolites in Sporadic and LRRK2 Parkinson’s Disease Demonstrated by Proton Magnetic Resonance Spectroscopy by Jan O. Aasly, Oddbjørn Sæther, Krisztina K. Johansen, Tone F. Bathen, Guro F. Giskeødegård, Linda R. White

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A rare case of recurrent adenoid cystic carcinoma of the breast with weak hormone receptor positivity by Jonathan W. Ray, MD, Mena Louis, DO, Nathaniel Grabill, MD, Jaime Morel Ruiz, MD, Priscilla Strom, MD

“…A 64-year-old woman presented with a palpable mass in her left breast; imaging and biopsy confirmed ACC with very poor hormone receptor positivity. …”
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Recurrent nocturnal hypoglycemic hemiplegia: a case report and review of the literature by Hanako Toyama, Kazuyuki Takahashi, Tatsunori Shimizu, Izumi Otaka, Sakiko Abe, Shunsuke Kato, Sayaka Ando, Takehiro Sato, Tsukasa Morii, Hiroki Fujita, Hironori Waki

“…Brain magnetic resonance imaging revealed a lesion with a high diffusion-weighted imaging signal and low apparent diffusion coefficient signal in the posterior limb of the left internal capsule. …”
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Deep Learning in Oral Hygiene: Automated Dental Plaque Detection via YOLO Frameworks and Quantification Using the O’Leary Index by Alfonso Ramírez-Pedraza, Sebastián Salazar-Colores, Crystel Cardenas-Valle, Juan Terven, José-Joel González-Barbosa, Francisco-Javier Ornelas-Rodriguez, Juan-Bautista Hurtado-Ramos, Raymundo Ramirez-Pedraza, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González

“…<b>Methods</b>: We compiled a dataset of 531 RGB images from 177 individuals, captured via multiple mobile devices. …”
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Navigating the neurovascular maze of trigeminal neuralgia by Devyansh Nimodia, MBBS, Pratapsingh Hanuman Parihar, MD, Sakshi Dudhe, MBBS, Ravishankar Patil, MD, Paritosh N. Bhangale, MBBS, Rishitha Kotla, MBBS

“…Vertebrobasilar dolichoectasia represents an uncommon etiology of neurovascular compression affecting the trigeminal and facial nerves, which may result in the development of trigeminal neuralgia and facial hemispasm. Magnetic resonance imaging (MRI) is the optimal modality for elucidating TN aetiology. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

“…However, due to their striking visual similarity, separating them from rice seedlings at early growth stages is daunting using traditional visible light imaging models. To explore the feasibility of hyperspectral identification of barnyard grass and rice in the seedling stage, we have pioneered the DeepBGS hyperspectral feature parsing framework. …”
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Macular Findings Obtained by Spectral Domain Optical Coherence Tomography in Retinopathy of Prematurity by Muhammet Kazim Erol, Ozdemir Ozdemir, Deniz Turgut Coban, Ahmet Burak Bilgin, Berna Dogan, Esin Sogutlu Sari, Devrim Toslak

“…Conclusions. High-quality SD OCT images can be obtained from premature infants using the iVue system. …”
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