A computational program for automated surgical planning of fenestrated endovascular repair by Dillon, Tom M., Liang, Patric, Schermerhorn, Marc L., Roche, Ellen T.

“…To maintain blood flow to major abdominal vessels, a fenestrated endograft can be used, whereby physicians modify commercial endografts by creating fenestrations based on preoperative computed tomography imaging. The manual process of aligning patient-specific visceral anatomy onto endografts can be tedious and subject to human error. …”
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Image processing algorithms for medical applications by Ling, Regina Ming Zhen

“…The four types of medical images used in noise removal are Magnetic Resonance Imaging (MRI), Computed Tomography (CT), X-rays and Ultrasound. The four types of medical images will be corrupted individually with four different noises (i.e. …”
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Photoacoustic imaging algorithm development and simulation by Tao, Pengcheng

“…Compared with traditional medical imaging methods (CT, optical coherence tomography, MRI, ultrasonic imaging, etc.), PAI has its outstanding advantages. …”
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Comparative study on Young's modulus measurements on additively manufactured alloys by Lim, Gordon Yicai

“…Tensile tests were conducted using a Universal testing system from Instron, Ultrasound test was conducted using a thickness measurement device by Olympus, optical microscopy and X-ray computer tomography were used to measure the porosity, and density was tested using an analytic balance set-up. …”
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Study of feature selection for angle-closure glaucoma detection by Gercke, Norman.

“…Performing feature selection on features obtained by Anterior Segment Optical Coherence Tomography (AS-OCT) images may aid in clinical diagnosis of angle-closure glaucoma. …”
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Violence-related skeletal trauma in the Epi-Jomon period: a case study from the Koboro cave site in Hokkaido, Japan by Braddick, I, Kubo, D, Matsumura, H, Schulting, RJ

“…In addition to macroscopic observations, computed tomography (CT) and 3D scanning were conducted on the postcranial injuries to estimate the directions of penetration of the stone projectile points in the bones. …”

Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…We also curate m2s2-SITS, a large-scale dataset of unlabeled, spatially aligned, multimodal, and geographic-specific SITS that serves as representative pretraining data for S4. …”
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Risk assessment and its visualization of power tower under typhoon disaster based on machine learning algorithms by Hou, Hui, Yu, Shiwen, Wang, Hongbin, Huang, Yong, Wu, Hao, Xu, Yan, Li, Xianqiang, Geng, Hao

“…On the data layer, a spatial multi-source heterogeneous information database is built based on equipment operation information, meteorological information, and geographic information. On the knowledge extraction layer, six intelligent risk prediction models are established based on machine learning algorithms by hyperparameter optimization. …”
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Development of the polyglot Asian medicine knowledge graph system by Khoo, Christopher S. G., Stanley-Baker, Michael, Faizah Binte Zakaria, Chen, Jinju, Ang, Shaun Qiao Rou, Huang, Bo

“…The knowledge graph currently links the medicine names in the original and English languages, to alternate names and scientific names, to plant/animal parts they are made from, to literary and historical sources they were mentioned in, to geographic areas they were associated with, and to external database records. …”
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Maximizing airport runway throughput via sequencing arrival schedule by Lin, Chuanwen

“…However, due to environmental and geographic limitations, these are no longer viable solutions to counteract increasing air traffic. …”
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Episcopacy and parochialism in early South African Anglicanism: Bishop Robert Gray and the antecedent churches of the Cape Colony, 1806-72 by Bester, M

“…However, the theological deprecations are misleading: parochial opposition to Gray arose primarily from resistance to episcopal authority, made acute by colonial identity, conservatism, and geographic isolation, rather than differing ecclesiology. …”

Accessibility, inclusivity, and implementation of COVID-19 clinical management guidelines early in the pandemic: a global survey by Pilbeam, C, Malden, D, Newell, K, Dagens, A, Kennon, K, Michelen, M, Gobat, N, Sigfrid, L

“…Data on accessibility, inclusivity, and implementation of CMGs were analysed by geographic location. <br><strong>Results: </strong>76 clinicians from 27 countries responded: 82% from high-income countries, 17% from lower middle-income countries (LMICs). …”

Belgrave's quest for moral order in Bahrain, 1926-1957 by Fakhro, E

“…In this area, the thesis describes how colonial officials regulated and restricted prostitution as an undesirable activity, including by confining the practice to a geographic zone, subjecting prostitute women to mandatory health screenings, and justifying these actions as necessary to curb an epidemic of venereal diseases.…”

Practitioner, patient and public views on the acceptability of mobile stroke units in England and Wales: A mixed methods study by Moseley, L, McMeekin, P, Price, C, Shaw, L, Laws, A, Allen, M, Ford, GA, James, M, McCarthy, S, McClelland, G, Park, LJ, Pearn, K, Phillips, D, White, P, Wilson, D, Scott, J

“…These concerns included how MSUs would be staffed; whether and how telemedicine could contribute; the types of economic impacts; extent to which triage systems could accurately identify stroke patients for MSUs to attend; where the base location and geographic coverage of MSUs should be, the impact of MSUs on equitable access to stroke care, and how to improve public awareness of MSUs. …”

Dengue hemorrhagic fever prevention and control: DHF-solve model using linebot-application and GIS by Mala, M., Meenongwar, C., Jundaeng, J., Osman, M., Viegus, Z., Nithikathkul, C.

“…This research article centres on developing a model to prevent and control DHF, utilising the DHF-Solve model, a Linebot, and Geographic Information Systems (GIS). The research was conducted in four phases. …”
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Enhancement of photoacoustic imaging systems for biomedical applications by Sharma, Arunima

“…Among different embodiments of PAI, photoacoustic tomography/ photoacoustic computed tomography (PAT/PACT) is widely used for in vivo studies which require deep tissue imaging. …”
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Laser scribed proton exchange membranes for enhanced fuel cell performance and stability by Chen, J, Lu, X, Wang, L, Du, W, Guo, H, Rimmer, M, Zhai, H, Liu, Y, Shearing, PR, Haigh, SJ, Holmes, SM, Miller, TS

“…Furthermore, a comprehensive three-dimensional multi-physics model, based on X-ray micro-computed tomography data, was employed to visualise and quantify the impact of this laser treatment on the dynamic electrochemical processes within the MEA. …”

Asymptomatic female softball pitchers have altered hip morphology and cartilage composition by Warden, SJ, Coburn, SL, Fuchs, RK, Surowiec, RK, Carballido-Gamio, J, Kemp, JL, Jalaie, PK, Hanff, DF, Palmer, AJR, Fernquest, SJ, Crossley, KM, Heerey, JJ

“…The current cross-sectional study assessed bilateral bony hip morphology on computed tomography imaging in collegiate-level softball pitchers (‘Pitch1’, n = 25) and cross-country runners (‘Run’, n = 13). …”

Two for tau: automated model discovery reveals two-stage tau aggregation dynamics in Alzheimer’s disease by Stockman, CA, Goriely, A, Kuhl, E, Jerusalem, A, Alzheimer’s Disease Neuroimaging Initiative

“…We propose an innovative approach that uses constitutive neural networks to autonomously discover bell-shaped aggregation functions with multiple peaks from clinical positron emission tomography (PET) data of misfolded tau protein. Our method reveals previously overlooked two-stage aggregation dynamics by uncovering a twoterm ordinary differential equation that links the local accumulation rate to the tau concentration. …”

An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model by Yousefpanah, Kolsoum, Ebadi, M. J., Sabzekar, Sina, Zakaria, Nor Hidayati, Osman, Nurul Aida, Ali Ahmadian, Ali Ahmadian

“…Artificial intelligence methods are often used as powerful tools to reach a COVID-19 diagnosis via computed tomography (CT) samples. In this paper, artificial intelligence-based methods are introduced to diagnose COVID-19. …”