A Novel Use of Hyperspectral Images for Human Brain Cancer Detection using in-Vivo Samples. - Himar Fabelo; Samuel Ortega; Raúl Guerra; Gustavo M. Callicó; Adam Szolna; Juan F. Piñeiro; Miguel Tejedor; Sebastián López; Roberto Sarmiento (BIOSIGNALS, 2016)

Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform. - Daniel Madroñal; Raquel Lazcano; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2016)

Demo: HELICoiD tool demonstrator for real-time brain cancer detection. - Rubén Salvador; Himar Fabelo; Raquel Lazcano; Samuel Ortega; Daniel Madroñal; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2016)

Hyperspectral database of pathological in-vitro human brain samples to detect carcinogenic tissues. - Samuel Ortega; Gustavo M. Callicó; Maria De La Luz Plaza; Rafael Camacho; Himar Fabelo; Roberto Sarmiento (ISBI, 2016)

HELICoiD: interdisciplinary and collaborative project for real-time brain cancer detection: Invited Paper. - Rubén Salvador; Samuel Ortega; Daniel Madroñal; Himar Fabelo; Raquel Lazcano; Gustavo M. Callicó; Eduardo Juárez 001; Roberto Sarmiento; César Sanz (Conf. Computing Frontiers, 2017)

Parallel implementation of an iterative PCA algorithm for hyperspectral images on a manycore platform. - Raquel Lazcano; Daniel Madroñal; Himar Fabelo; Samuel Ortega; Rubén Salvador; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2017)

Energy consumption characterization of a Massively Parallel Processor Array (MPPA) platform running a hyperspectral SVM classifier. - Daniel Madroñal; Raquel Lazcano; Himar Fabelo; Samuel Ortega; Rubén Salvador; Gustavo M. Callicó; Eduardo Juárez 001; César Sanz (DASIP, 2017)

The HELICoiD Project: Parallel SVM for Brain Cancer Classification. - Emanuele Torti; Camilla Cividini; Alessandro Gatti; Giovanni Danese; Francesco Leporati; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó (DSD, 2017)

High-level design using Intel FPGA OpenCL: A hyperspectral imaging spatial-spectral classifier. - R. Domingo; Rubén Salvador; Himar Fabelo; Daniel Madroñal; Samuel Ortega; Raquel Lazcano; Eduardo Juárez 001; Gustavo M. Callicó; César Sanz (ReCoSoC, 2017)

Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture. - Raquel Lazcano; Daniel Madroñal; Rubén Salvador; Karol Desnos; Maxime Pelcat; Raúl Guerra; Himar Fabelo; Samuel Ortega; Sebastián López; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Syst. Archit., 2017)

SVM-based real-time hyperspectral image classifier on a manycore architecture. - Daniel Madroñal; Raquel Lazcano; Rubén Salvador; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Syst. Archit., 2017)

Acceleration of brain cancer detection algorithms during surgery procedures using GPUs. - Emanuele Torti; Alessandro Fontanella; Giordana Florimbi; Francesco Leporati; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó (Microprocess. Microsystems, 2018)

SVM Optimization for Brain Tumor Identification Using Infrared Spectroscopic Samples. - Himar Fabelo; Samuel Ortega; Elizabeth Casselden; Jane Loh; Harry Bulstrode; Ardalan Zolnourian; Paul Grundy; Gustavo M. Callicó; Diederik Bulters; Roberto Sarmiento (Sensors, 2018)

An Intraoperative Visualization System Using Hyperspectral Imaging to Aid in Brain Tumor Delineation. - Himar Fabelo; Samuel Ortega; Raquel Lazcano; Daniel Madroñal; Gustavo M. Callicó; Eduardo Juárez 001; Rubén Salvador; Diederik Bulters; Harry Bulstrode; Adam Szolna; Juan F. Piñeiro; Coralia Sosa; et al. (Sensors, 2018)

Accelerating the K-Nearest Neighbors Filtering Algorithm to Optimize the Real-Time Classification of Human Brain Tumor in Hyperspectral Images. - Giordana Florimbi; Himar Fabelo; Emanuele Torti; Raquel Lazcano; Daniel Madroñal; Samuel Ortega; Rubén Salvador; Francesco Leporati; Giovanni Danese; Abelardo Báez-Quevedo; Gustavo M. Callicó; Eduardo Juárez 001; et al. (Sensors, 2018)

Dermatologic Hyperspectral Imaging System for Skin Cancer Diagnosis Assistance. - Himar Fabelo; Gregorio Carretero; Pablo Almeida; Aday García; Javier A. Hernández; Fred Godtliebsen; Verónica Melián; Beatriz Martínez 002; Patricia Beltrán; Samuel Ortega; Margarita Marrero-Martin; Gustavo M. Callicó; et al. (DCIS, 2019)

Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients. - Himar Fabelo; Martin T. Halicek; Samuel Ortega; Adam Szolna; Jesús Morera; Roberto Sarmiento; Gustavo M. Callicó; Baowei Fei (Image-Guided Procedures, 2019)

Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth. - Martin T. Halicek; Himar Fabelo; Samuel Ortega; James V. Little; Xu Wang; Amy Y. Chen; Gustavo Marrero Callicó; Larry L. Myers; Baran D. Sumer; Baowei Fei (Image-Guided Procedures, 2019)

Extended Blind End-Member and Abundance Extraction for Biomedical Imaging Applications. - Daniel U. Campos-Delgado; Omar Gutierrez-Navarro; Jesus Rico-Jimenez; Elvis Duran-Sierra; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Javier A. Jo (IEEE Access, 2019)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. - Himar Fabelo; Samuel Ortega; Adam Szolna; Diederik Bulters; Juan F. Piñeiro; Silvester Kabwama; Aruma J. O'Shanahan; Harry Bulstrode; Sara Bisshopp; Bangalore Ravi Kiran; Daniele Ravì; Raquel Lazcano; et al. (IEEE Access, 2019)

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. - Raquel Lazcano; Daniel Madroñal; Giordana Florimbi; Jaime Sancho; Sergio Sánchez Ramírez; Raquel León; Himar Fabelo; Samuel Ortega; Emanuele Torti; Rubén Salvador; Margarita Marrero-Martin; Francesco Leporati; et al. (IEEE Access, 2019)

Hyperspectral Push-Broom Microscope Development and Characterization. - Samuel Ortega; Raúl Guerra; María Díaz; Himar Fabelo; Sebastián López; Gustavo M. Callicó; Roberto Sarmiento (IEEE Access, 2019)

Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain. - Himar Fabelo; Martin T. Halicek; Samuel Ortega; Maysam Shahedi; Adam Szolna; Juan F. Piñeiro; Coralia Sosa; Aruma J. O'Shanahan; Sara Bisshopp; Carlos Espino Palma; Mariano Márquez; María Hernández; et al. (Sensors, 2019)

Most Relevant Spectral Bands Identification for Brain Cancer Detection Using Hyperspectral Imaging. - Beatriz Martínez 002; Raquel León; Himar Fabelo; Samuel Ortega; Juan F. Piñeiro; Adam Szolna; María Hernández; Carlos Espino Palma; Aruma J. O'Shanahan; David Carrera 002; Sara Bisshopp; Coralia Sosa; et al. (Sensors, 2019)

Adaptation of an Iterative PCA to a Manycore Architecture for Hyperspectral Image Processing. - Raquel Lazcano; Daniel Madroñal; Himar Fabelo; Samuel Ortega; Rubén Salvador; Gustavo M. Callicó; Eduardo Juárez Martínez; César Sanz (J. Signal Process. Syst., 2019)

Novel Methodology for Alzheimer's Disease Biomarker Identification in Plasma using Hyperspectral Microscopy. - Himar Fabelo; Raquel León; Samuel Ortega; Francisco Balea-Fernández; Cristina Bilbao; Gustavo M. Callicó; Ana Wagner (DCIS, 2020)

Hyperspectral Imaging for Major Neurocognitive Disorder Detection in Plasma Samples. - Raquel León; Beatriz Martínez-Vega; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Francisco Balea-Fernández; Cristina Bilbao Sieyro (DCIS, 2020)

Can Hyperspectral Images be used to detect Brain tumor pixels and their malignant phenotypes? - Alicia Martínez-González; Ana Del Valle; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó (DCIS, 2020)

Statistics-based Classification Approach for Hyperspectral Dermatologic Data Processing. - Beatriz Martínez-Vega; Eduardo Quevedo; Raquel León; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Irene Castaño; Gregorio Carretero; Pablo Almeida; Aday García; Javier A. Hernández; Stig Uteng; et al. (DCIS, 2020)

Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology. - Martin T. Halicek; Samuel Ortega; Himar Fabelo; Carlos López 002; Marylène Lejeune; Gustavo M. Callicó; Baowei Fei (Digital Pathology, 2020)

Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images. - Samuel Ortega; Martin T. Halicek; Himar Fabelo; Raúl Guerra; Carlos López 002; Marylène Lejeune; Fred Godtliebsen; Gustavo M. Callicó; Baowei Fei (Digital Pathology, 2020)

Towards Real-Time Computing of Intraoperative Hyperspectral Imaging for Brain Cancer Detection Using Multi-GPU Platforms. - Giordana Florimbi; Himar Fabelo; Emanuele Torti; Samuel Ortega; Margarita Marrero-Martin; Gustavo M. Callicó; Giovanni Danese; Francesco Leporati (IEEE Access, 2020)

Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach. - Francesca Manni; Fons van der Sommen; Himar Fabelo; Svitlana Zinger; Caifeng Shan; Erik Edström; Adrian Elmi Terander; Samuel Ortega; Gustavo Marrero Callicó; Peter H. N. de With (Sensors, 2020)

Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks. - Samuel Ortega; Martin T. Halicek; Himar Fabelo; Rafael Camacho; Maria De La Luz Plaza; Fred Godtliebsen; Gustavo M. Callicó; Baowei Fei (Sensors, 2020)

Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests. - Himar Fabelo; Raquel León; Samuel Ortega; Francisco Balea-Fernández; Bernardino Clavo; Gustavo M. Callicó; Ana Wagner (DCIS, 2021)

Hyperspectral VNIR and NIR Sensors for the Analysis of Human Normal Brain and Tumor Tissue. - Raquel León; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó (DCIS, 2021)

Instrumentation Evaluation for Hyperspectral Microscopy Targeting Enhanced Medical Histology. - Laura Quintana; Samuel Ortega; Raquel León; Himar Fabelo; Gustavo M. Callicó; Carlos López 002; Marylène Lejeune; Ramón Bosch (DCIS, 2021)

Oxygen Saturation Measurement using Hyperspectral Imaging targeting Real-Time Monitoring. - Beatriz Martínez-Vega; Raquel León; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; David Suarez-Vega; Bernardino Clavo (DSD, 2021)

Empirical Mode Decomposition Based Hyperspectral Data Analysis for Brain Tumor Classification. - Nauman Baig; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Javad Alirezaie; Karthikeyan Umapathy (EMBC, 2021)

Hyperspectral imaging for tissue classification in glioblastoma tumor patients: a deep spectral-spatial approach. - Francesca Manni; Chuchen Cai; Fons van der Sommen; Svitlana Zinger; Caifeng Shan; Erik Edström; Adrian Elmi Terander; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Peter H. N. de With (Image-Guided Procedures, 2021)

Blur-Specific No-Reference Image Quality Assesment for Microscopic Hyperspectral Image Focus Quantification. - Laura Quintana; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó (WHISPERS, 2021)

Influence of the change of methodology in the practical laboratories of the power electronics subject. - Jose. M. Cabrera-Peña; Eduardo Quevedo; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó; Alberto Zapatera Llinares (Comput. Appl. Eng. Educ., 2021)

Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Nicolás Medrano; Belén Calvo; Gustavo M. Callicó (CinC, 2022)

Towards Skin Cancer Self-Monitoring through an Optimized MobileNet with Coordinate Attention. - María Castro-Fernández; Abián Hernández; Himar Fabelo; Francisco Balea-Fernández; Samuel Ortega; Gustavo M. Callicó (DSD, 2022)

Reflectance Calibration with Normalization Correction in Hyperspectral Imaging. - Inés A. Cruz-Guerrero; Raquel León; Liliana Granados-Castro; Himar Fabelo; Samuel Ortega; Daniel U. Campos-Delgado; Gustavo Marrero Callicó (DSD, 2022)

Message from the Program Chairs: DSD 2022. - Himar Fabelo; Samuel Ortega (DSD, 2022)

Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing. - Juan Nicolás Mendoza-Chavarría; Eric R. Zavala-Sánchez; Liliana Granados-Castro; Inés A. Cruz-Guerrero; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó; Daniel U. Campos-Delgado (DSD, 2022)

Attention-based Skin Cancer Classification Through Hyperspectral Imaging. - Marco La Salvia; Emanuele Torti; Marco Gazzoni; Elisa Marenzi; Raquel León; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (DSD, 2022)

Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia. - Carlos Vega; Raquel León; Norberto Medina; Himar Fabelo; Samuel Ortega; Fran Balea; Aday García; Margarita Medina; Silvia De León; Alicia Martín; Gustavo M. Callicó (DSD, 2022)

In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification. - Laura Quintana; Samuel Ortega; Raquel León; Himar Fabelo; Francisco Javier Balea-Fernández; Esther Sauras; Marylène Lejeune; Ramón Bosch; Carlos López 002; Gustavo M. Callicó (Digital and Computational Pathology, 2022)

Hyperspectral imaging for in-vivo/ex-vivo tissue analysis of human brain cancer. - Raquel León; Sofia H. Gelado; Himar Fabelo; Samuel Ortega; Laura Quintana; Adam Szolna; Juan F. Piñeiro; Francisco Balea-Fernández; Jesús Morera; Bernardino Clavo; Gustavo M. Callicó (Image-Guided Procedures, 2022)

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. - Beatriz Martínez-Vega; Mariia Tkachenko; Marianne Matkabi; Samuel Ortega; Himar Fabelo; Francisco Balea-Fernández; Marco La Salvia; Emanuele Torti; Francesco Leporati; Gustavo M. Callicó; Claire Chalopin (Sensors, 2022)

Laboratory Hyperspectral Image Acquisition System Setup and Validation. - Alejandro Morales; Pablo Horstrand; Raúl Guerra; Raquel León; Samuel Ortega; María Díaz; José M. Melián; Sebastián López; José Francisco López; Gustavo M. Callicó; Ernestina Martel; Roberto Sarmiento (Sensors, 2022)

Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Beatriz Martínez-Vega; Irene Castaño; Pablo Almeida; Gregorio Carretero; Javier A. Hernández; Gustavo M. Callicó; et al. (Sensors, 2022)

Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Beatriz Martínez-Vega; Gustavo M. Callicó; Francesco Leporati (Sensors, 2022)

Nonlinear extended blind end-member and abundance extraction for hyperspectral images. - Daniel U. Campos-Delgado; Inés A. Cruz-Guerrero; Juan Nicolás Mendoza-Chavarría; Aldo R. Mejía-Rodríguez; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó (Signal Process., 2022)

Hyperspectral Image Dataset for Focus Analysis (HIDFA). - Laura Quintana; Samuel Ortega; Himar Fabelo; Francisco Balea-Fernández; Gustavo M. Callicó (IEEE DataPort, 2022)

Dataset: Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications. - Himar Fabelo; Samuel Ortega; Raquel León; Gustavo M. Callicó (IEEE DataPort, 2022)

Evaluation of Hyperspectral Imaging Fusion for in-vivo Brain Tumor Identification and Delineation. - Raquel León; Himar Fabelo; Samuel Ortega; Juan F. Piñeiro; Adam Szolna; Jesús Morera; Bernardino Clavo; Gustavo M. Callicó (DSD, 2023)

Analysis of the Behavior of Ozone Therapy in Chemotherapy-Induced Neuropathy Using Hyperspectral Imaging Technology. - Beatriz Martínez-Vega; Raquel León; Himar Fabelo; Samuel Ortega; Eduardo Quevedo; Angeles Canovas-Molina; Francisco Rodriguez-Esparagon; Bernardino Clavo; Gustavo M. Callicó (DSD, 2023)

Classification of Brain Tissues in Hyperspectral Images Using Vision Transformers. - Inés A. Cruz-Guerrero; Juan Nicolás Mendoza-Chavarría; Daniel U. Campos-Delgado; Himar Fabelo; Samuel Ortega; Gustavo Marrero Callicó (ISBI, 2023)

YOLOX-based framework for nuclei detection on whole-slide histopathological RGB and hyperspectral images. - Carlos Vega; Laura Quintana; Samuel Ortega; Himar Fabelo; Esther Sauras; Noèlia Gallardo; Daniel Mata Cano; Marylène Lejeune; Carlos López 002; Gustavo M. Callicó (Digital and Computational Pathology, 2023)

Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples. - Carlos Urbina Ortega; Eduardo Quevedo Gutiérrez; Laura Quintana; Samuel Ortega; Himar Fabelo; Lucana Santos Falcón; Gustavo Marrero Callicó (Sensors, 2023)

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. - Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Alejandro Deniz; Francisco Javier Balea-Fernández; Eduardo Quevedo; Cristina Soguero-Ruíz; Ana M. Wägner; Gustavo M. Callicó (IEEE J. Biomed. Health Informatics, 2023)

Multi and hyperspectral image unmixing with spatial coherence by extended blind end-member and abundance extraction. - Inés A. Cruz-Guerrero; Aldo R. Mejía-Rodríguez; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Javier A. Jo; Daniel U. Campos-Delgado (J. Frankl. Inst., 2023)

Assessing Processing Strategies on Data from Medical Hyperspectral Acquisition Systems. - Laura Quintana; Carlos Vega; Raquel León; Guillermo V. Socorro-Marrero; Samuel Ortega; Gustavo M. Callicó (DSD, 2024)

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. - Himar Fabelo; Samuel Ortega; Daniele Ravì; B. Ravi Kiran 001; Coralia Sosa; Diederik Bulters; Gustavo M. Callicó; Harry Bulstrode; Adam Szolna; Juan F. Piñeiro; Silvester Kabwama; Daniel Madroñal; et al. (CoRR, 2024)

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection. - Himar Fabelo; Samuel Ortega; Adam Szolna; Diederik Bulters; Juan F. Piñeiro; Silvester Kabwama; Aruma J. O'Shanahan; Harry Bulstrode; Sara Bisshopp; B. Ravi Kiran 001; Daniele Ravì; Raquel Lazcano; et al. (CoRR, 2024)

Blind non-linear spectral unmixing with spatial coherence for hyper and multispectral images. - Juan Nicolás Mendoza-Chavarría; Inés A. Cruz-Guerrero; Omar Gutierrez-Navarro; Raquel León; Samuel Ortega; Himar Fabelo; Gustavo M. Callicó; Daniel Ulises Campos-Delgado (J. Frankl. Inst., 2024)

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Francisco Javier Balea-Fernández; Gustavo M. Callicó; Nicolás Medrano; Belén Calvo (IEEE Trans. Instrum. Meas., 2024)

Segmentation of Intraoperative Glioblastoma Hyperspectral Images Using Self-Supervised U-Net++. - Marco Gazzoni; Marco La Salvia; Emanuele Torti; Elisa Marenzi; Raquel León; Samuel Ortega; Beatriz Martínez 002; Himar Fabelo; Gustavo M. Callicó; Francesco Leporati (VISIGRAPP (3): VISAPP, 2025)

Robust and Unified Semi-Supervised Unmixing of Hyperspectral Imaging for Linear and Multilinear Models. - Daniel Ulises Campos-Delgado; Juan Nicolás Mendoza-Chavarría; Omar Gutierrez-Navarro; Laura Quintana; Raquel León; Samuel Ortega; Himar Fabelo; Carlos López 002; Marylène Lejeune; Gustavo M. Callicó (IEEE Access, 2025)

Roadmap for the Characterization and Validation of Hyperspectral Microscopic Systems. - Laura Quintana; Gonzalo Rosa-Olmeda; Javier Santana-Nunez; Miguel Chavarrías; Samuel Ortega; Jaime Sancho; Himar Fabelo; Eduardo Juárez 001; Gustavo M. Callicó (IEEE Trans. Instrum. Meas., 2025)

High Throughput Shelf Life Determination of Atlantic Cod (Gadus morhua L.) by Use of Hyperspectral Imaging. - Samuel Ortega; Tatiana N. Ageeva; Silje Kristoffersen; Karsten Heia; Heidi Nilsen (IEEE Trans. Multim., 2025)