MULTIDISCIPLINARY APPROACH TO THE CORRECTION OF ACCOMMODATION REFRACTION DISORDERS IN VISUALLY INTENSIVE LABOR PERSONS by I. G. Ovechkin, V. E. Yudin, G. A. Emel’yanov, A. V. Mironov

“…Increased load on the visual analyzer of an operator, increase in everyday visual performance, universal introduction of information displaying on cathode-ray tubes result in temporary and stable visual disturbances. …”
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Multiview 2D/3D image registration in minimally invasive pelvic surgery navigation by Fujiao Ju, Ya Wang, Jingxin Zhao, Mingjie Dong

“…POITT constructs a POIs tracking network on Digital Reconstructed Radiographs images (DRRs) and performs points matching on X-ray images via style transfer. The triangulation layer establishes high-precision spatial mapping relationships between X-ray images and the patient. …”
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The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures by Eva Blondeel, Arne Peirsman, Stephanie Vermeulen, Filippo Piccinini, Felix De Vuyst, Diogo Estêvão, Sayida Al-Jamei, Martina Bedeschi, Gastone Castellani, Tânia Cruz, Sándor Dedeyne, Maria José Oliveira, Satoru Kawakita, Huu Tuan Nguyen, Leoni A. Kunz-Schughart, Soojung Lee, Noemi Marino, Patrick Steigemann, Shuichi Takayama, Anna Tesei, Nina Zablowsky, Phillip Blondeel, Olivier De Wever

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Deformable registration for nasopharyngeal carcinoma using adaptive mask and weight allocation strategy based CycleFCNs model by Yi Guo, Jun Chen, Lin Lu, Lingna Qiu, Linzhen Lan, Feibao Guo, Jinsheng Hong

“…Results The registration results of RayStation and Elastix are essentially consistent. …”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…The training process employed a learning rate of 0.0001, stochastic gradient descent (SGD) optimization, and ten iterations. …”
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CurriMAE: curriculum learning based masked autoencoders for multi-labeled pediatric thoracic disease classification by Taeyoung Yoon, Daesung Kang

“…However, determining the optimal masking ratio requires extensive experimentation, resulting in significant computational overhead. …”
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Investigating Motion Data Selections Based on Patient-Specific Respiration Pattern at External Surrogates Radiotherapy Using Cyberknife Synchrony Respiratory Tracking System by Seyed Amirreza Dastyar, Ahmad Esmaili Torshabi

“…Results: The number of training and updating data points can be intelligently optimized depending on the breathing pattern of each patient. …”
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Comparison of Artificial Intelligence-based learning with the traditional method in the diagnosis of COVID-19 chest radiographs among postgraduate radiology residents by Ayesha Isani Majeed

“…Group-A engaged in one-on-one sessions for COVID X-ray reporting, while Group-B trained in AI-deep learning methods. …”
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Do We Need to Add the Type of Treatment Planning System, Dose Calculation Grid Size, and CT Density Curve to Predictive Models? by Reza Reiazi, Surendra Prajapati, Leonardo Che Fru, Dongyeon Lee, Mohammad Salehpour

“…<b>Results:</b> Results showed that dose grid size differences had a more significant influence within RayStation than Pinnacle, while CT curve variations introduced potential domain discrepancies. …”
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Current practices and perceptions on diagnostic reference levels: a EuroSafe Imaging Survey Analysis by John Damilakis, Boris Brkljacic, Guy Frija, Timo De Bondt, Graciano Paulo, Virginia Tsapaki, Eliseo Vano, the European Society of Radiology (ESR)

“…Less than half of radiology residents receive structured DRL training. Improved DRL adoption can optimize radiation protection and patient safety. …”
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Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior. by Stefano van Gogh, Subhadip Mukherjee, Jinqiu Xu, Zhentian Wang, Michał Rawlik, Zsuzsanna Varga, Rima Alaifari, Carola-Bibiane Schönlieb, Marco Stampanoni

“…Our algorithm combines the L-BFGS optimization scheme with a data-driven prior parameterized by a deep neural network. …”
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Simulating and Verifying a 2D/3D Laser Line Sensor Measurement Algorithm on CAD Models and Real Objects by Rok Belšak, Janez Gotlih, Timi Karner

“…This work not only reduces the need for physical prototyping, thereby contributing to sustainability, but also supports AI training by generating accurate synthetic data. Future work should aim to further optimize the simulation speed and explore noise modeling to enhance the realism of simulated measurements.…”
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A Beam Hardening Artifact Correction Method for CT Images Based on VGG Feature Extraction Networks by Hong Zhang, Zhaoguang Ma, Da Kang, Min Yang

“…By incorporating perceptual loss into a convolutional neural network and optimizing through iterative training, the proposed method effectively suppresses cupping artifacts and reduces edge blurring. …”
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Acoustic Log Prediction on the Basis of Kernel Extreme Learning Machine for Wells in GJH Survey, Erdos Basin by Jianhua Cao, Yancui Shi, Dan Wang, Xiankun Zhang

“…By using KELM, a prediction model is firstly created based on the experimental data and then confirmed and validated by blind-testing the results in wells containing both the predictors and the target (DT) values used in the supervised training. Finally the optimal model is set up as a predictor. …”
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Implementation of Intensified Tuberculosis Case Finding among People Living with HIV in Kampala, Uganda: A cross sectional study by David Okello, Angela Nakanwagi Kisakye, Justine Namakula, Esther Buryegyeya

“…Conclusion: ICF implementation at ART clinics in KCCA public health facilities was sub optimal. Health workers' attitude, training, support supervision and stigma of TB clients should be addressed for better ICF implementation.…”
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SatGS: Remote Sensing Novel View Synthesis Using Multi- Temporal Satellite Images with Appearance-Adaptive 3DGS by Nan Bai, Anran Yang, Hao Chen, Chun Du

“…This strategy enables our model to adaptively adjust the seasonal appearance features and shadow regions of the rendered images based on the appearance characteristics of the training images and solar angles. Additionally, the impact of transient objects is mitigated through the use of visibility maps and uncertainty optimization. …”
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High prevalence of subclinical energy availability and poor diet quality among paralympic basketball athletes by Murat Urhan, Ceren Akanalçı, Özge Küçükerdönmez, Ezgi Karataş, Rana Nagihan Akder, Mesut Nalçakan, Reci Meseri

“…Developing nutrition recommendations tailored specifically for paralympic athletes, combined with implementing nutrition education programs led by qualified dietitians, could play a crucial role in safeguarding and improving their health, enhancing training adaptations, and optimizing athletic performance.…”
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Applications of augmented reality in cardiology till 2024: a comprehensive review of innovations and clinical impacts by Ibthisam Ismail Sharieff, Diviya Bharathi Ravikumar, Shashvat Joshi, Barath Prashanth Sivasubramanian, Rajat Gupta, Yash Garg, Umabalan Thirupathy, Ragavendar Saravanabavanandan, Siva Naga Yarrarapu, Vikramaditya R. Samala Venkata

“…AugR surpasses standard 2D fluoroscopy in surgical interventions by optimizing fluoroscopic angles, improving pacemaker placement, reducing X-ray exposure, and increasing procedural accuracy. …”
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TREATMENT OF PATIENTS WITH ISOLATED ORBITAL WALL INJURIES by A. P. Bakushev, K. A. Sivolapov

“…Objective: to optimize surgical treatment in patients with orbital wall defects and deformities. …”
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Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks by Agung Wahyu Setiawan

“…The highest performance was obtained using ResNet50v1 and Adam optimizer with the average value of training, validation, and testing accuracy of 92.22 ± 0.25 %. …”
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