Longitudinal Voice Study (LoVoiS) Methodology and Preliminary Research Results. - Marcin D. Bugdol; Monika N. Bugdol; Anna M. Lipowicz; Andrzej W. Mitas; Maria J. Bienkowska; Agata M. Wijata; Dariusz Danel (ITIB (1), 2016)

Pre and Post Menarche - Girls' Bodies Parameters Comparison. - Anna M. Lipowicz; Andrzej W. Mitas; Marcin D. Bugdol; Monika N. Bugdol; Maria J. Bienkowska; Agata M. Wijata; Dariusz Danel (ITIB (1), 2016)

Impact of Music on the Effectiveness of Performing Mathematical-Logical Tasks. - Andrzej W. Mitas; Anna M. Lipowicz; Agata M. Wijata; Maria J. Bienkowska (ITIB (1), 2016)

Evaluation of Puberty in Girls by Spectral Analysis of Voice. - Marcin D. Bugdol; Maria J. Bienkowska; Monika N. Bugdol; Anna M. Lipowicz; Andrzej W. Mitas; Agata Wijata (ITIB, 2018)

Image Guided Core Needle Biopsy of the Breast. - Bartlomiej Pycinski; Jan Maria Juszczyk; Agata Wijata; Marta Galinska; Joanna Czajkowska; Ewa Pietka (ITIB, 2018)

Preliminary Development of an Automatic Breast Tumour Segmentation Algorithm from Ultrasound Volumetric Images. - Wojciech Wieclawek; Marcin Rudzki; Agata Wijata; Marta Galinska (ITIB, 2018)

Prediction of menarcheal status of girls using voice features. - Marcin D. Bugdol; Monika N. Bugdol; Anna M. Lipowicz; Andrzej W. Mitas; Maria J. Bienkowska; Agata M. Wijata (Comput. Biol. Medicine, 2018)

An Automatic Method of Chronic Wounds Segmentation in Multimodal Images. - Joanna Czajkowska; Marta Biesok; Jan Maria Juszczyk; Agata M. Wijata; Bartlomiej Pycinski; Michal Krecichwost; Ewa Pietka (ITIB, 2019)

Evaluation of Methods for Volume Estimation of Chronic Wounds. - Jan Maria Juszczyk; Agata M. Wijata; Joanna Czajkowska; Marta Biesok; Bartlomiej Pycinski; Ewa Pietka (ITIB, 2019)

Wound 3D Geometrical Feature Estimation Using Poisson Reconstruction. - Jan Maria Juszczyk; Agata Wijata; Joanna Czajkowska; Michal Krecichwost; Marcin Rudzki; Marta Biesok; Bartlomiej Pycinski; Jakub Majewski; Jacek Kostecki; Ewa Pietka (IEEE Access, 2021)

Chronic wounds multimodal image database. - Michal Krecichwost; Joanna Czajkowska; Agata Wijata; Jan Maria Juszczyk; Bartlomiej Pycinski; Marta Biesok; Marcin Rudzki; Jakub Majewski; Jacek Kostecki; Ewa Pietka (Comput. Medical Imaging Graph., 2021)

Automated size-specific dose estimates using deep learning image processing. - Jan Maria Juszczyk; Pawel Badura; Joanna Czajkowska; Agata Wijata; Jacek Andrzejewski; Pawel Bozek; Michal Smolinski; Marta Biesok; Agata Sage; Marcin Rudzki; Wojciech Wieclawek (Medical Image Anal., 2021)

Unbiased Validation of the Algorithms for Automatic Needle Localization in Ultrasound-Guided Breast Biopsies. - Agata M. Wijata; Jakub Nalepa (ICIP, 2022)

Unbiasing the Estimation of Chlorophyll from Hyperspectral Images: A Benchmark Dataset, Validation Procedure and Baseline Results. - Bogdan Ruszczak; Agata M. Wijata; Jakub Nalepa (Remote. Sens., 2022)

On the Impact of Noisy Labels on Supervised Classification Models. - Rafal Dubel; Agata M. Wijata; Jakub Nalepa (ICCS (2), 2023)

Estimating Chlorophyll Content from Hyperspectral Data Using Gradient Features. - Bogdan Ruszczak; Agata M. Wijata; Jakub Nalepa (ICCS (2), 2023)

Machine Learning Detects a Biopsy Needle in Ultrasound Images. - Agata M. Wijata; Jakub Nalepa (ICIP, 2023)

Benchmarking Space-Based Data Center Architectures. - Michal Gumiela; Alicja Musial; Agata M. Wijata; Dawid Lazaj; Jonas Weiss; Patricia Sagmeister; Thomas Morf; Martin L. Schmatz; Jakub Nalepa (IGARSS, 2023)

Toward On-Board Methane Detection in Hyperspectral Images. - Agata M. Wijata; Michel-François Foulon; Yves Bobichon; Nicolas Longépé; Roberto Camarero; Raffaele Vitulli; Marco Celesti; Gianluigi Di Cosimo; Ferran Gascon; Jens Nieke; Jakub Nalepa (IGARSS, 2023)

Particle Swarm Optimization Meets Deep Learning for Estimating Root-Zone Soil Moisture from Hyperspectral Images. - Bogdan Ruszczak; Michal Myller; Lukasz Tulczyjew; Agata Wijata; Jakub Nalepa (GECCO Companion, 2024)

CANNIBAL Unveils the Hidden Gems: Hyperspectral Band Selection via Clustering of Weighted Variable Interaction Graphs. - Lukasz Tulczyjew; Michal Przewozniczek; Renato Tinós; Agata M. Wijata; Jakub Nalepa (GECCO, 2024)

Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. - Agata M. Wijata; Bartlomiej Pycinski; Jakub Nalepa (GECCO Companion, 2024)

Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles For Ecg Arrhythmia Classification. - Damian Kucharski; Agata M. Wijata; Lu Fu; Weidong Lin; Yumei Xue; Jacek Kawa; Yalin Zheng; Gregory Yoke Hong Lip; Jakub Nalepa (ICIP, 2024)

A Needle In A (Medical) Haystack: Detecting A Biopsy Needle In Ultrasound Images Using Vision Transformers. - Agata M. Wijata; Bartlomiej Pycinski; Jakub Nalepa (ICIP, 2024)

Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. - Martyna Kurbiel; Agata M. Wijata; Jakub Nalepa (ICPRAM, 2024)

Estimating Soil Parameters from Hyperspectral Imagesusing Ensembles of Classic and Deep Machine Learning Models. - Wiktor Gacek; Lukasz Tulczyjew; Agata M. Wijata; Nicolas Longépé; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2024)

Soil Analysis with Very Few Labels Using Semi-Supervised Hyperspectral Image Classification. - Bartosz Grabowski; Agata M. Wijata; Lukasz Tulczyjew; Bertrand Le Saux; Jakub Nalepa (IGARSS, 2024)

Intuition-1: Toward In-Orbit Bare Soil Detection Using Spectral Vegetation Indices. - Agata M. Wijata; Tomasz Lakota; Marcin Cwiek; Bogdan Ruszczak; Michal Gumiela; Lukasz Tulczyjew; Andrzej Bartoszek; Nicolas Longépé; Krzysztof Smykala; Jakub Nalepa (IGARSS, 2024)

Designing (Not Only) Lunar Space Data Centers. - Agata M. Wijata; Alicja Musial; Dawid Lazaj; Michal Gumiela; Mateusz Przeliorz; Jonas Weiss; Patricia Sagmeister; Thomas Morf; Martin L. Schmatz; Nicolas Longépé; Pierre-Philippe Mathieu; Jakub Nalepa (IGARSS, 2024)

Detection of Bare Soil in Hyperspectral Images Using Quantum-Kernel Support Vector Machines. - Agata M. Wijata; Artur Miroszewski; Bertrand Le Saux; Nicolas Longépé; Bogdan Ruszczak; Jakub Nalepa (IGARSS, 2024)

Convolutional neural networks estimate root-zone soil moisture from hyperspectral images. - Lukasz Tulczyjew; Bogdan Ruszczak; Michal Myller; Agata M. Wijata; Dominika Boguszewska-Mankowska; Jakub Nalepa (VCIP, 2024)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI. - Vladimir Zaigrajew; Hubert Baniecki; Lukasz Tulczyjew; Agata M. Wijata; Jakub Nalepa; Nicolas Longépé; Przemyslaw Biecek (CoRR, 2024)

On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence. - Michal Witold Przewozniczek; Francisco Chicano; Renato Tinós; Jakub Nalepa; Bogdan Ruszczak; Agata Wijata (GECCO, 2025)

Artificial intelligence and digital twins for the personalised prediction of hypertension risk. - Akhil Naik; Jakub Nalepa; Agata M. Wijata; Joseph Mahon; Dharmesh Mistry; Adam T. Knowles; Ellen A. Dawson; Gregory Yoke Hong Lip; Iván Olier; Sandra Ortega-Martorell (Comput. Biol. Medicine, 2025)

Monitoring Forest Changes With Foundation Models and Sentinel-2 Time Series. - Jakub Sadel; Lukasz Tulczyjew; Agata M. Wijata; Mateusz Przeliorz; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2025)

SIMULATED PHISAT-2 METHANE BENCHMARK DATASET. - Agata Wijata; Andrzej Bartoszek; Daniel Marek; Jakub Nalepa (Zenodo, 2025)