Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Deve... by Mohammed A. AboArab, Vassiliki T. Potsika, Alexis Theodorou, Sylvia Vagena, Miltiadis Gravanis, Fragiska Sigala, Dimitrios I. Fotiadis

“…Web-based Digital Imaging and Communications in Medicine (DICOM) viewers integrated into picture archiving and communication systems facilitate access to pictures and interaction with remote data. However, the adoption of progressive web applications (PWAs) for web-based DICOM and MPR visualization remains limited. …”
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Data-Driven Approaches in Antimicrobial Resistance: Machine Learning Solutions by Aikaterini Sakagianni, Christina Koufopoulou, Petros Koufopoulos, Sofia Kalantzi, Nikolaos Theodorakis, Maria Nikolaou, Evgenia Paxinou, Dimitris Kalles, Vassilios S. Verykios, Pavlos Myrianthefs, Georgios Feretzakis

“…The identified patterns in resistance genes could support clinical decision-making and inform public health interventions. However, challenges remain, particularly in integrating genomic data and ensuring model interpretability. …”
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Enhancing Social Interaction for the Visually Impaired: A Systematic Review of Real-Time Emotion Recognition Using Smart Glasses and Deep Learning by Nursel Yalcin, Muthana Alisawi

“…This survey builds on an analysis and covers various aspects of enhancing social interaction for the visually impaired, which remain underexplored.…”
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Integrating 3D city data through knowledge graphs by Linfang Ding, Guohui Xiao, Albulen Pano, Mattia Fumagalli, Dongsheng Chen, Yu Feng, Diego Calvanese, Hongchao Fan, Liqiu Meng

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Open and Free Sentinel-2 Mowing Event Data for Austria by Petra Miletich, Marco Kirchmair, Janik Gregory Deutscher, Alexander Schippl, Manuela Hirschmugl

“…We use the Sentinel-2 time series of the Normalized Difference Vegetation Index (NDVI) to detect mowing events, and additionally, we use the mean of the two ShortWave InfraRed (SWIR) bands to exclude misclassification caused by remaining cloud artifacts and shadows. The validation procedure builds on a visual interpretation of the Panomax webcam archive complemented by a selection of field observations. …”
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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

“…Deep learning models rely heavily on extensive training data, but obtaining sufficient real-world data remains a major challenge in clinical fields. …”
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IDIOPATHIC LOBULAR PANNICULITIS IN RHEUMATOLOGY PRACTICE: THE AUTHORS’ OWN DATA by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

“…The literature contains almost no data on the diagnostic value of laboratory studies and therapeutic approaches, which served as the basis for this investigation. …”
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A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow by Ilari Pajula, Niclas Joswig, Aiden Morrison, Nadia Sokolova, Laura Ruotsalainen

“…Our findings indicate that due to the robustness against occlusion and camera shake, feature matching is better suited for indoor pedestrian navigation, whereas dense optical flow remains viable for vehicular data. Therefore, the most feasible way forward will be the integration of our novel model with feature-based visual data encoding.…”
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Rates of visual field change and functional progression in glaucoma following trabecular microbypass implantation of iStent technologies: a meta-analysis by Kevin Gillmann, Dana M Hornbeak

“…Background/aim While intraocular pressure (IOP) remains the only modifiable risk factor for glaucoma progression, the ultimate goal of glaucoma management is to preserve patients’ functional vision and quality of life. …”
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Effects of physical activity on visual outcomes among type 2 diabetes patients: protocol for a scoping review of randomized controlled trials by Ebenezer Oduro Antiri, Thomas Hormenu, Stephen Ocansey, Edward Wilson Ansah

“…Abstract Background Type 2 diabetes mellitus remains a major global health concern, affecting millions of patients worldwide resulting in complications, including diabetic retinopathy, one of the leading causes of blindness. …”
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Assessing the changes in eye optics and visual functions in patients with insulin-dependent type 2 diabetes mellitus and their relationship with blood glucose level by L. A. Mineeva, L. I. Balashevich, A. A. Baranov, L. B. Shubin, A. V. Kabanov

“…Over the follow-up period, the subjective visual acuity slightly deteriorated. The anterior segment remained practically unchanged, the vitreous body showed a destruction increase, the state of the retina remained stable and conformed to that of nonproliferative diabetic retinopathy. …”
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A cloud-based toolbox for the versatile environmental annotation of biodiversity data. by Richard Li, Ajay Ranipeta, John Wilshire, Jeremy Malczyk, Michelle Duong, Robert Guralnick, Adam Wilson, Walter Jetz

“…But a versatile and scale flexible environmental annotation of biodiversity data remains constrained by technical hurdles. Existing tools have streamlined the intersection of occurrence records with gridded environmental data but have remained limited in their ability to address a range of spatial and temporal grains, especially for large datasets. …”
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Evaluation of Data Extracted from Floor Plans for Apartment Complex Remodeling by Dongik Shin, Hyeongmin Ryu, Jeeyeop Kim, Jinyoung Kim

“…Evaluated indices included variations of floor area, load-bearing wall, nonbearing wall, slab, weight, area moment of inertia, torsional resistance, and visualization of removed, remaining, and new bearing walls. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…We employed two modeling approaches: Partial Least Squares Regression (PLSR) and Extreme Gradient Boosting (XGBoost), to assess performance using raw spectral data and under three preprocessing techniques designed to enhance data quality: Moving Average (MA), Multiplicative Scatter Correction (MSC), and Standard Normal Variate (SNV). …”
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The Weather Radar as a Tool for Collecting Quantitative Data on Migrating Birds by Roberto Nebuloni, Carlo Capsoni

“…Even though the standard products of operational weather radar networks are today much used for surveying bird movements over large spatial scales, specialized radars remain a unique tool for extracting high-quality data on the local habits of the avian fauna.…”
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Comparing the Effectiveness of Two Intervention Methods Based on Education with Music Software and Visual Communication on Stereotyped Movements and Hand-Eye Coordination in Childr... by Azadeh Talebi, Leila Kashani Vahid Kashani Vahid, Maryam Asase, Gholam Ali Afrooz, Manouchehr Moradi Sabzevar

“…Applied research and quantitative data collection method (semi-experimental) were implemented with a pre-test-post-test and follow-up design. …”
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Visual analysis of emerging topics and trends in contrast agent extravasation research in medical imaging: a bibliometric study using CiteSpace and VOSviewer by Yun Liu, Yonghai Dong, Wenfang Zhou, Juhong Yu

“…PurposeThis study presents a visualization of the global research dynamics on contrast agent extravasation in medical imaging using a knowledge map, revealing the research directions, emerging topics, trends, and frontiers in this field.MethodUsing CiteSpace and VOSviewer software with the Web of Science Core Collection database as the data source, a bibliometric analysis was conducted on relevant studies of contrast agent extravasation in medical imaging examinations. …”
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High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection by Nataliya Shakhovska, Bohdan Sydor, Solomiia Liaskovska, Olga Duran, Yevgen Martyn, Volodymyr Vira

“…One of the key barriers to neural network adoption is the lack of computational resources and high-quality training data—particularly for unique objects without existing datasets. …”
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Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review by Yasmin Abdelaal, Michaël Aupetit, Abdelkader Baggag, Dena Al-Thani

“…While wrist-worn wearables are widespread, there is a notable gap in making the data they generate explainable. Post hoc methods such as Shapley Additive Explanations have gained traction for their adaptability in explaining complex algorithms visually. …”
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A Data-Driven Approach for Generating Synthetic Load Profiles with GANs by Tsvetelina Kaneva, Irena Valova, Katerina Gabrovska-Evstatieva, Boris Evstatiev

“…Quantitative evaluations using statistical divergence measures, Real-vs-Synthetic Distinguishability Score, and visual similarity confirm that Conv1D-WGAN-GP consistently outperforms baselines, particularly in low-data scenarios. …”
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