Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics by Mulan Pan, Lu Lu, Xingyu Mu, Xingyu Mu, Guanqiao Jin

“…ObjectiveThis study aims to predict the early efficacy of induction chemotherapy (ICT) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC) through habitat subregion analysis and multimodal MRI radiomics techniques.MethodsThe study employed a retrospective design and included LA-NPC patients who received ICT treatment between 2015 and 2019. The K-means clustering algorithm was utilized to segment the tumor into five distinct habitat subregions based on imaging features. …”
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Single-cell sequencing uncovers a high ESM1-expression endothelial cell subpopulation associated with bladder cancer progression and the immunosuppressive microenvironment by Yifeng Qiu, Yuhan Wang, Jiahe Liu, Baohua Liu, Kai Sun, Qi Hou

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Comparative study of defects in graphene flake grown on amorphous and crystalline copper surfaces by Laura Arango-Tabares, Julian D Correa, Olga Lopez-Acevedo

“…A global minima search was performed using the Minima Hopping algorithm to find multiple graphene isomers that can appear on different substrates. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…A comprehensive comparison of six algorithms (linear regression, support vector regression, random forest, XGBoost, CatBoost, and K-nearest neighbors) is conducted, assessing their performance under a combined strategy of data augmentation (noise injection, generative adversarial networks, Gaussian mixture model, variational autoencoders) and transfer learning (random, clustering, and hierarchical parameter transfer). …”
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Combining Local Electromagnetic Scattering and Global Structure Features for SAR Open Set Recognition by Qinjie Lin, Hao Sun, Yanjie Xu, Junyu Wang, Kefeng Ji, Gangyao Kuang

“…Automatic target recognition (ATR) is crucial for synthetic aperture radar (SAR) image interpretation. However, existing SAR ATR primarily rely on algorithms from the field of computer vision, many methods have not adequately considered the imaging sensitivity of SAR images. …”
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Multi-Spectral Point Cloud Constructed with Advanced UAV Technique for Anisotropic Reflectance Analysis of Maize Leaves by Kaiyi Bi, Yifang Niu, Hao Yang, Zheng Niu, Yishuo Hao, Li Wang

“…Reflectance anisotropy in remote sensing images can complicate the interpretation of spectral signature, and extracting precise structural information under these pixels is a promising approach. …”
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Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024. by Yuandi Jiang, Kalyna Pashkevych, Shibo Bi

“…Kernel density and standard deviational ellipse methods revealed the spatio-temporal evolution of museum space preferences (2016-2024). TF-IDF and LDA algorithms identified key image perception themes. Visitor satisfaction was then evaluated with SnowNLP sentiment analysis to examine the dynamic correlation between the perception themes and satisfaction. …”
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C2 pars interarticularis length on the side of high-riding vertebral artery with implications for pars screw insertion by Tomasz Klepinowski, Miszela Kałachurska, Michał Chylewski, Natalia Żyłka, Dominik Taterra, Kajetan Łątka, Bartłomiej Pala, Wojciech Poncyljusz, Leszek Sagan

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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

“…In this multiethnic study involving human subjects, we developed a liquid biopsy signature based on extracellular vesicle (EV)-derived microRNAs (miRNAs) linked to radiomics features extracted from patients’ tumor imaging. We integrated eight datasets containing clinical records, imaging data of benign and malignant pancreatic lesions, and small RNA sequencing data from plasma-derived EVs of PC patients. …”
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The Core Mass Function across Galactic Environments. IV. The Galactic Center by Alva V. I. Kinman, Maya A. Petkova, Jonathan C. Tan, Giuliana Cosentino, Yu Cheng

“…We use Atacama Large Millimeter/submillimeter Array 1 mm continuum images and identify cores as peaks in thermal dust emission via the dendrogram algorithm. …”
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Automated cell identification and tracking using nanoparticle moving-light-displays. by James A Tonkin, Paul Rees, Martyn R Brown, Rachel J Errington, Paul J Smith, Sally C Chappell, Huw D Summers

“…Computational analysis of these light ensembles in successive time frames of a movie sequence, using k-means clustering and particle tracking algorithms, provides robust and automated discrimination of live cells and their motion and a quantitative measure of their proliferation. …”
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Optical Neuroimage Studio (OptiNiSt): Intuitive, scalable, extendable framework for optical neuroimage data analysis. by Yukako Yamane, Yuzhe Li, Keita Matsumoto, Ryota Kanai, Miles Desforges, Carlos Enrique Gutierrez, Kenji Doya

“…OptiNiSt includes the following features. 1) Researchers can easily create analysis pipelines by selecting multiple processing modules, tuning their parameters, and visualizing the results at each step through a graphic user interface in a web browser. 2) In addition to pre-installed tools, new analysis algorithms can be easily added. 3) Once a processing pipeline is designed, the entire workflow with its modules and parameters are stored in a YAML file, which makes the pipeline reproducible and deployable on high-performance computing clusters. 4) OptiNiSt can read image data in a variety of file formats and store the analysis results in NWB (Neurodata Without Borders), a standard data format for data sharing. …”
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Immunophenotype-guided interpretable radiomics model for predicting neoadjuvant anti-PD-1 response in stage III–IV d-MMR/MSI-H colorectal cancer by Xuan Zhang, Zhenhui Li, Yiwen Zhang, Yanli Li, Xi Zhong, Wenjing Jiang, Xiaobo Chen, Zaiyi Liu, Liebin Huang, Caixia Zhang, Lizhu Liu, Ruimin You, Xiaoping Yi

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Preface to Special Issue on Scientific Computing and Learning Analytics for Smart Healthcare Systems (Part II) by Chinmay Chakraborty, Sayonara Barbosa, Lalit Garg

“…The papers are directly or indirectly related to advanced clustering, imaging, and computing for bio-signal acquisition systems with intelligent computing. …”
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Body roundness index, visceral adiposity index, and metabolic score for visceral fat in predicting new-onset atrial fibrillation: a UK Biobank cohort study by Yi ZHENG, Lei LIU, Xinyu ZHENG, Tong LIU, Xiaoping LI

“…We further applied the eXtreme Gradient Boosting (XGBoost) algorithm, with the feature importance being measured to evaluate the predictive value of each adiposity index for imaging parameters. …”
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Architecture-aware minimization (A2M): how to find flat minima in neural architecture search by Matteo Gambella, Fabrizio Pittorino, Manuel Roveri

“…A ^2 M consistently improves generalization over state-of-the-art DARTS-based algorithms on benchmark datasets including CIFAR-10, CIFAR-100, and ImageNet-16-120, across both NAS-Bench-201 and DARTS search spaces. …”
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Severity assessment of burned skin based on anisotropy of optical coherence elastography by Heng Liu, Di Yang, Renfei Jia, Weike Wang, Lili Shao, Quanzhong Liu, Yanmei Liang

“…A dataset was constructed by sampling the modulus parameters of burned skin maps through a scratch window, and its category was automatically identified by K-means and density peak clustering (DPC) algorithms with good agreement. The elastic anisotropy-based skin burn assessment method shows a prospect to be supplemented into the nondestructive means of burned skin examination.…”
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Point Cloud Data Mining With HD Map Priors for Making Synthetic Forest Datasets by Kasparas Karlauskas, Julius Gelsvartas, Povilas Treigys

“…The spatial information in 3-D point clouds, the data produced in airborne laser scanning surveys, can be leveraged to glean insights about the target area that would usually be unavailable in 2D-based remote sensing, such as satellite imaging. In forest point clouds, determining the locations and extents of individual trees, such as individual tree segmentation, may lend itself to forest inventory management and hazard prevention applications. …”
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Comparing Xenium 5K and Visium HD data from identical tissue slide at a pathological perspective by Mengping Long, Taobo Hu, Weixin Wang, Junshun Gao, Nan Wang, Mats Nilsson

“…Whilst Visium-HD offers a broader gene coverage for detection and likely detects more tumor subclones, Xenium-5K achieves comparable results when robust clustering algorithms are applied. Importantly, from the pathological point of view, the single-cell segmentation accuracy is essential when analyzing irregularly shaped cells, where Xenium may be in favor. …”
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Three-color single-molecule localization microscopy in chromatin by Nicolas Acosta, Ruyi Gong, Yuanzhe Su, Jane Frederick, Karla I. Medina, Wing Shun Li, Kiana Mohammadian, Luay Almassalha, Geng Wang, Vadim Backman

“…Applying this multiplexed algorithm to analyze distance and joint density reveals that heterochromatin and euchromatin are not-distinct territories, but that localization of transcription and euchromatin couple with the periphery of heterochromatic clusters. …”
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