An algorithm for detecting lesions in CBF and CBV perfusion maps. - Tomasz Hachaj (Bio Algorithms Med Syst., 2008)

The registration and atlas construction of noisy brain computer tomography images based on free form deformation technique. - Tomasz Hachaj (Bio Algorithms Med Syst., 2008)

Artificial Intelligence Methods for Understanding Dynamic Computer Tomography Perfusion Maps. - Tomasz Hachaj (CISIS, 2010)

Augmented Reality Interface for Visualization of Volumetric Medical Data. - Tomasz Hachaj; Marek R. Ogiela (IP&C, 2010)

Automatic Detection and Lesion Description in Cerebral Blood Flow and Cerebral Blood Volume Perfusion Maps. - Tomasz Hachaj; Marek R. Ogiela (J. Signal Process. Syst., 2010)

Augmented Reality Approaches in Intelligent Health Technologies and Brain Lesion Detection. - Tomasz Hachaj; Marek R. Ogiela (ARES, 2011)

Intelligent Information System for Interpretation of Dynamic Perfusion Brain Maps. - Tomasz Hachaj; Marek R. Ogiela (ACIIDS (1), 2011)

Computer-aided Intelligent Diagnostics of Dynamic Perfusion CT Maps. - Tomasz Hachaj; Marek R. Ogiela (MUE, 2011)

A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps. - Tomasz Hachaj; Marek R. Ogiela (Comput. Biol. Medicine, 2011)

Evaluation of Carotid Artery Segmentation with Centerline Detection and Active Contours without Edges Algorithm. - Tomasz Hachaj; Marek R. Ogiela (CD-ARES, 2012)

Segmentation and Visualization of Tubular Structures in Computed Tomography Angiography. - Tomasz Hachaj; Marek R. Ogiela (ACIIDS (3), 2012)

Semantic Description and Recognition of Human Body Poses and Movement Sequences with Gesture Description Language. - Tomasz Hachaj; Marek R. Ogiela (FGIT-MulGraB/BSBT/IUrC, 2012)

Neural Network Approach for Identification of Selected Brain Perfusion Abnormalities. - Tomasz Hachaj; Marek R. Ogiela (IMIS, 2012)

Visualization of perfusion abnormalities with GPU-based volume rendering. - Tomasz Hachaj; Marek R. Ogiela (Comput. Graph., 2012)

Framework for cognitive analysis of dynamic perfusion computed tomography with visualization of large volumetric data. - Tomasz Hachaj; Marek R. Ogiela (J. Electronic Imaging, 2012)

Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps. - Tomasz Hachaj (Computational Intelligence Paradigms in Advanced Pattern Classification, 2012)

Computer Karate Trainer in Tasks of Personal and Homeland Security Defense. - Tomasz Hachaj; Marek R. Ogiela (CD-ARES Workshops, 2013)

Dependence of Kinect sensors number and position on gestures recognition with Gesture Description Language semantic classifier. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk (FedCSIS, 2013)

Real-Time Recognition of Selected Karate Techniques Using GDL Approach. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk (IP&C, 2013)

Application of neural networks in detection of abnormal brain perfusion regions. - Tomasz Hachaj; Marek R. Ogiela (Neurocomputing, 2013)

Automatic segmentation of the carotid artery bifurcation region with a region-growing approach. - Marek R. Ogiela; Tomasz Hachaj (J. Electronic Imaging, 2013)

Recognition of Body Movements Patterns for Immersive Virtual Reality System Interface. - Tomasz Hachaj; Marek R. Ogiela (3PGCIC, 2014)

Unsupervised Learning of GDL Classifier. - Tomasz Hachaj; Marek R. Ogiela (IMIS, 2014)

Real time exploration and management of large medical volumetric datasets on small mobile devices - Evaluation of remote volume rendering approach. - Tomasz Hachaj (Int. J. Inf. Manag., 2014)

Application of centerline detection and deformable contours algorithms to segmenting the carotid lumen. - Tomasz Hachaj; Marek R. Ogiela (J. Electronic Imaging, 2014)

Rule-based approach to recognizing human body poses and gestures in real time. - Tomasz Hachaj; Marek R. Ogiela (Multim. Syst., 2014)

Learning from Annotated Video: An Initial Study Based on Oyama Karate Tournament Recordings. - Tomasz Hachaj; Marek R. Ogiela; Katarzyna Koptyra (3PGCIC, 2015)

Human Actions Modelling and Recognition in Low-Dimensional Feature Space. - Tomasz Hachaj; Marek R. Ogiela; Katarzyna Koptyra (BWCCA, 2015)

Qualitative Evaluation of Full Body Movements with Gesture Description Language. - Tomasz Hachaj; Marek R. Ogiela (IMIS, 2015)

Application of Neural Network for Human Actions Recognition. - Tomasz Hachaj; Marek R. Ogiela (ISICA, 2015)

Effectiveness Comparison of Kinect and Kinect 2 for Recognition of Oyama Karate Techniques. - Tomasz Hachaj; Marek R. Ogiela; Katarzyna Koptyra (NBiS, 2015)

Full body movements recognition - unsupervised learning approach with heuristic R-GDL method. - Tomasz Hachaj; Marek R. Ogiela (Digit. Signal Process., 2015)

Knowledge Bricks - Educational immersive reality environment. - Tomasz Hachaj; Danuta Baraniewicz (Int. J. Inf. Manag., 2015)

Application of Assistive Computer Vision Methods to Oyama Karate Techniques Recognition. - Tomasz Hachaj; Marek R. Ogiela; Katarzyna Koptyra (Symmetry, 2015)

Natural User Interfaces in Medical Image Analysis - Cognitive Analysis of Brain and Carotid Artery Images - Marek R. Ogiela; Tomasz Hachaj (Springer, 2015)

A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data. - Tomasz Hachaj; Pawel S. Hachaj; Marek R. Ogiela (AINA Workshops, 2016)

Clusters of Trends Detection in Microblogging: Simple Natural Language Processing vs Hashtags - Which is More Informative? - Tomasz Hachaj; Marek R. Ogiela (CISIS, 2016)

Data-driven approach to human motion modeling with Lua and gesture description language. - Tomasz Hachaj; Katarzyna Koptyra; Marek R. Ogiela (ICMV, 2016)

Initial proposition of kinematics model for selected karate actions analysis. - Tomasz Hachaj; Katarzyna Koptyra; Marek R. Ogiela (ICMV, 2016)

Rule-Based Action Recognition: Performance Comparison between Lua and GDL Script Language. - Tomasz Hachaj; Marek R. Ogiela (IMIS, 2016)

Creating Dynamically Changing World Map for Computer Games with Advanced Image Processing - A Use Case. - Tomasz Hachaj (INCoS, 2016)

How to Solve Common Human Actions Recognition Use Cases with Gesture Description Language. - Tomasz Hachaj (INCoS, 2016)

Key Frames Detection in Motion Capture Recordings Using Machine Learning Approaches. - Tomasz Hachaj (IP&C, 2016)

The adaptation of GDL motion recognition system to sport and rehabilitation techniques analysis. - Tomasz Hachaj; Marek R. Ogiela (J. Medical Syst., 2016)

Human actions recognition on multimedia hardware using angle-based and coordinate-based features and multivariate continuous hidden Markov model classifier. - Tomasz Hachaj; Marek R. Ogiela (Multim. Tools Appl., 2016)

Averaging Three-Dimensional Time-Varying Sequences of Rotations: Application to Preprocessing of Motion Capture Data. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk; Katarzyna Koptyra (SCIA (1), 2017)

The open online repository of karate motion capture data: A tool for scientists and sport educators. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk (SSCI, 2017)

Advanced human motion analysis and visualization: Comparison of mawashi-geri kick of two elite karate athletes. - Tomasz Hachaj; Marek R. Ogiela; Marcin Piekarczyk; Katarzyna Koptyra (SSCI, 2017)

Clustering of trending topics in microblogging posts: A graph-based approach. - Tomasz Hachaj; Marek R. Ogiela (Future Gener. Comput. Syst., 2017)

Human Actions Analysis: Templates Generation, Matching and Visualization Applied to Motion Capture of Highly-Skilled Karate Athletes. - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (Sensors, 2017)

What Can Be Learned from Bigrams Analysis of Messages in Social Network? - Tomasz Hachaj; Marek R. Ogiela (CISP-BMEI, 2018)

Classification of Karate Kicks with Hidden Markov Models Classifier and Angle-Based Features. - Tomasz Hachaj; Marek R. Ogiela (CISP-BMEI, 2018)

Supporting Rehabilitation Process with Novel Motion Capture Analysis Method. - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (EECS, 2018)

Signal Processing Methods in Human Motion Path Analysis: A Use Case for Karate Kata. - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (EECS, 2018)

How Repetitive are Karate Kicks Performed by Skilled Practitioners? - Tomasz Hachaj; Marcin Piekarczyk; Marek R. Ogiela (ICCAE, 2018)

Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods. - Tomasz Hachaj; Marek R. Ogiela; Katarzyna Koptyra (Ann. Oper. Res., 2018)

Averaging of motion capture recordings for movements' templates generation. - Tomasz Hachaj; Katarzyna Koptyra; Marek R. Ogiela (Multim. Tools Appl., 2018)

Head Motion Classification for Single-Accelerometer Virtual Reality Hardware. - Tomasz Hachaj; Marek R. Ogiela (ICFSP, 2019)

Computer System Prototype for Qualitative and Quantitative Evaluation of Selected Movement Activities. - Tomasz Hachaj; Marek R. Ogiela (ICVARS, 2019)

Head Motion - Based Robot's Controlling System Using Virtual Reality Glasses. - Tomasz Hachaj (IP&C, 2019)

Robustness of Haar Feature-Based Cascade Classifier for Face Detection Under Presence of Image Distortions. - Patryk Mazurek; Tomasz Hachaj (IP&C, 2019)

Evaluation of Most Popular Sentiment Lexicons Coverage on Various Datasets. - Justyna Miazga; Tomasz Hachaj (SSIP, 2019)

Evaluation of Pattern Recognition Methods for Head Gesture-Based Interface of a Virtual Reality Helmet Equipped with a Single IMU Sensor. - Tomasz Hachaj; Marcin Piekarczyk (Sensors, 2019)

Improving Human Motion Classification by Applying Bagging and Symmetry to PCA-Based Features. - Tomasz Hachaj (Symmetry, 2019)

Image Hashtag Recommendations Using a Voting Deep Neural Network and Associative Rules Mining Approach. - Tomasz Hachaj; Justyna Miazga (Entropy, 2020)

RMoCap: an R language package for processing and kinematic analyzing motion capture data. - Tomasz Hachaj; Marek R. Ogiela (Multim. Syst., 2020)

A Method for Human Facial Image Annotation on Low Power Consumption Autonomous Devices. - Tomasz Hachaj (Sensors, 2020)

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale "In The Wild" Face Verification. - Tomasz Hachaj; Patryk Mazurek (Symmetry, 2020)

Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities). - Tomasz Hachaj (IEEE DataPort, 2020)

Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras. - Tomasz Hachaj; Marcin Piekarczyk; Lukasz Bibrzycki (ICONIP (5), 2021)

TIPS: A Framework for Text Summarising with Illustrative Pictures. - Justyna Golec; Tomasz Hachaj; Grzegorz Sokal (Entropy, 2021)

Eigenfaces-Based Steganography. - Tomasz Hachaj; Katarzyna Koptyra; Marek R. Ogiela (Entropy, 2021)

Recognition of Cosmic Ray Images Obtained from CMOS Sensors Used in Mobile Phones by Approximation of Uncertain Class Assignment with Deep Convolutional Neural Network. - Tomasz Hachaj; Lukasz Bibrzycki; Marcin Piekarczyk (Sensors, 2021)

SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud. - Patryk Mazurek; Tomasz Hachaj (Sensors, 2021)

Deep Convolutional Symmetric Encoder - Decoder Neural Networks to Predict Students' Visual Attention. - Tomasz Hachaj; Anna Stolinska; Magdalena Andrzejewska; Piotr Czerski (Symmetry, 2021)

Potential Obstacle Detection Using RGB to Depth Image Encoder-Decoder Network: Application to Unmanned Aerial Vehicles. - Tomasz Hachaj (Sensors, 2022)

Searching of Potentially Anomalous Signals in Cosmic-Ray Particle Tracks Images Using Rough k-Means Clustering Combined with Eigendecomposition-Derived Embedding. - Tomasz Hachaj; Marcin Piekarczyk; Jaroslaw Was (IJCRS, 2023)

Fast Training Data Generation for Machine Learning Analysis of Cosmic Ray Showers. - Tomasz Hachaj; Lukasz Bibrzycki; Marcin Piekarczyk (IEEE Access, 2023)

The Practice of Detecting Potential Cosmic Rays Using CMOS Cameras: Hardware and Algorithms. - Tomasz Hachaj; Marcin Piekarczyk (Sensors, 2023)

Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm. - Tomasz Hachaj (Entropy, 2023)

Machine Learning Approach for Detecting Potential Anomalous Cosmic Rays Particles Tracks in Earth-Scale Cosmic Ray Extremely Distributed Observatory. - Jan Tyc; Marcin Zub; Tomasz Hachaj (PPAM (3), 2024)

What Is Inside Agent Brain: Application of Learning from Examples Using Rough Sets (LEM2) Rule Induction Algorithm to Explain Actions of Vision-Based Machine Learning Agents Trained with Proximal Policy Optimization. - Tomasz Hachaj; Jaroslaw Was (IJCRS (2), 2024)

On the Search for Potentially Anomalous Traces of Cosmic Ray Particles in Images Acquired by Cmos Detectors for a Continuous Stream of Emerging Observational Data. - Marcin Piekarczyk; Tomasz Hachaj (Sensors, 2024)

Detection of potentially anomalous cosmic particle tracks acquired with CMOS sensors: Validation of rough k-means clustering with PCA feature extraction. - Tomasz Hachaj; Marcin Piekarczyk; Jaroslaw Was (Int. J. Appl. Math. Comput. Sci., 2025)

Rough neighborhood graph: A method for proximity modeling and data clustering. - Tomasz Hachaj; Jaroslaw Was (Appl. Soft Comput., 2025)

An insightful data-driven crowd simulation model based on rough sets. - Tomasz Hachaj; Jaroslaw Was (Inf. Sci., 2025)