Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets. by William Dee, Rana Alaaeldin Ibrahim, Eirini Marouli

“…Deep learning techniques are increasingly being used to classify medical imaging data with high accuracy. Despite this, due to often limited training data, these models can lack sufficient generalizability to predict unseen test data, produced in different domains, with comparable performance. …”
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Editorial: To Know or Not to Know: causes and evolution of lack of awareness of cognitive decline in neurodegenerative diseases, volume II by Federica Cacciamani, Federica Cacciamani, Kristy A. Nielson, Kristy A. Nielson, Bernard J. Hanseeuw, Bernard J. Hanseeuw, Geoffroy P. Gagliardi, Geoffroy P. Gagliardi, Patrizia Vannini, Patrizia Vannini

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Superparamagnetic Iron Oxide–Enhanced Magnetic Resonance Imaging of Neuroinflammation in a Rat Model of Radicular Pain by Daniel L.J. Thorek, Christine L. Weisshaar, Julie C. Czupryna, Beth A. Winkelstein, Andrew Tsourkas

“…In many clinical cases of radicular pain, no noticeable neuropathology is detected by conventional medical imaging strategies. Superparamagnetic iron oxide (SPIO) nanoparticles were evaluated as magnetic resonance contrast agents to specifically detect neuroinflammation at sites of painful injury in a rat model of cervical nerve root compression. …”
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Dobutamine-induced alterations in internal carotid artery blood flow and cerebral blood flow in healthy adults by Fengxia Yu, Dong Liu, Xia Ma, Yawen Liu, Linkun Cai, Erwei Zhao, Zixu Huang, Zhe Zhang, Tingting Zhang, PengGang Qiao, Wei Zheng, Chunyan Guo, Linxue Qian, Pengling Ren, Zhenchang Wang

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Multiparametric cardiovascular magnetic resonance is associated with outcomes in pediatric heart transplant recipients by Andrew A. Lawson, Kae Watanabe, Lindsay Griffin, Christina Laternser, Michael Markl, Cynthia K. Rigsby, Joshua D. Robinson, Nazia Husain

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A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

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Alpha-2-adrenergic receptor agonists for the prevention of delirium and cognitive decline after open heart surgery (ALPHA2PREVENT): protocol for a multicentre randomised controlled... by Eva Skovlund, Rune Haaverstad, Henrik Zetterberg, Jorunn L Helbostad, Rolf Busund, Johan Raeder, Theis Tønnessen, Torgeir Bruun Wyller, Melanie R Simpson, Nils Kristian Skjærvold, Bjørn Erik Neerland, Svein Aslak Landsverk, Ieva Martinaityte, Hilde Margrethe Norum, Geir Selbaek, Elisabeth Skaar, Arjen JC Slooter, Øyvind Sverre Svendsen, Alexander Wahba

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Clinical Treatment Status of Papillary Thyroid Microcarcinoma by Liu Tong, Meng Kexin, Zhu Ying, Fan Fengjing, Wang Bei

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Diffeomorphism neural operator for various domains and parameters of partial differential equations by Zhiwei Zhao, Changqing Liu, Yingguang Li, Zhibin Chen, Xu Liu

“…Abstract Solving partial differential equations (PDEs) across varying geometric domains and parameters represents a significant challenge in fields such as materials science, engineering, design and medical imaging, primarily due to the high computing cost associated with recomputing the solution for every change in geometry or parameters. …”
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Poststroke Muscle Architectural Parameters of the Tibialis Anterior and the Potential Implications for Rehabilitation of Foot Drop by John W. Ramsay, Molly A. Wessel, Thomas S. Buchanan, Jill S. Higginson

“…Ten poststroke hemiparetic individuals were imaged bilaterally using noninvasive medical imaging techniques. Magnetic resonance imaging was used to identify changes in tibialis anterior muscle volume and muscle belly length. …”
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I see double! Searching for the abnormal cranial nerve in diplopia by Angela Guarnizo, Carlos Torres

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Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

“…The limitations of traditional diagnostic techniques cause challenges in identifying LC using medical imaging data. In this study, we aim to develop a robust LC detection model. …”
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Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models by Camerin Hahn, Sima Noghanian

“…These simple structures lack the heterogeneity of the dielectric properties of human tissue and are inadequate for testing these algorithms for medical imaging. To adequately test breast microwave imaging algorithms, the phantom has to resemble different breast tissues physically and in terms of dielectric properties. …”
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Efficient Machine Learning and Deep Learning Techniques for Detection of Breast Cancer Tumor by Dlshad Abdalrahman Mahmood, Sadegh Abdullah Aminfar

“…The first part of the review draws attention to the significance of making an accurate diagnosis of breast cancer, highlights the limits of traditional diagnostic methods, and investigates the cutting-edge area of medical imaging technology. After that, it investigates the fundamentals of ML and DL and how they might be used to deal with the challenges that are inherent in the interpretation of complicated imaging data. …”
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Advanced Breast Cancer Diagnostics With PolyBreastVit: A Combined PolyNet and Vision Transformer Approach by Visalakshi Annepu, Mohamed Abbas, Hanumatha Rao Bitra, Naveen Kumar Vaegae, Kalapraveen Bagadi

“…This paper presents the latest development of breast cancer diagnostic tools through medical imaging incorporating convolutional neural networks (CNNs) and transformer models for radiologists.…”
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Advanced biological imaging techniques based on metasurfaces by Yongjae Jo, Hyemi Park, Hyeyoung Yoon, Inki Kim

“…Currently, numerous imaging modalities are utilized in biological applications, including medical imaging, diagnosis, biometrics, and fundamental biological research. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

“…Furthermore, the functionality developed in this study can be extended to medical imaging and other applications involving high-precision remote-sensing images.…”
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Similarity and quality metrics for MR image-to-image translation by Melanie Dohmen, Mark A. Klemens, Ivo M. Baltruschat, Tuan Truong, Matthias Lenga

“…Abstract Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. …”
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Sex estimation techniques based on skulls in forensic anthropology: A scoping review. by Xindi Wang, Guihong Liu, Qiushuo Wu, Yazi Zheng, Feng Song, Yuan Li

“…<h4>Results and conclusions</h4>Our review highlights that the 3D medical imaging technique has enhanced the efficiency and stability of skull-based sex estimation. …”
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Novel Fluorescent Dyes for Single DNA Molecule Techniques by Alexander Zarkov, Aleksey Vasilev, Todor Deligeorgiev, Stoyno Stoynov, Marina Nedelcheva-Veleva

“…To answer the demands of scientific and medical imaging issues, the family of nucleic acid fluorescent dyes is constantly enlarging. …”
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