How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments. - Marcin Grzegorzek; Frank Deinzer; Michael Reinhold; Joachim Denzler; Heinrich Niemann (VMV, 2003)

Statistical Object Recognition for Multi-Object Scenes with Heterogeneous Background. - Marcin Grzegorzek; Kailash N. Pasumarthy; Michael Reinhold; Heinrich Niemann (ICVGIP, 2004)

Feature Extraction with Wavelet Transformation for Statistical Object Recognition. - Marcin Grzegorzek; Michael Reinhold; Heinrich Niemann (CORES, 2005)

Statistical Object Recognition Including Color Modeling. - Marcin Grzegorzek; Heinrich Niemann (ICIAR, 2005)

Appearance-based recognition of 3-D objects by cluttered background and occlusions. - Michael Reinhold; Marcin Grzegorzek; Joachim Denzler; Heinrich Niemann (Pattern Recognit., 2005)

Wavelet and Eigen-Space Feature Extraction for Classification of Metallography Images. - Pavel Praks; Marcin Grzegorzek; Rudolf Moravec; Ladislav Válek; Ebroul Izquierdo (EJC, 2007)

Shot boundary detection using spectral clustering. - Uros Damnjanovic; Ebroul Izquierdo; Marcin Grzegorzek (EUSIPCO, 2007)

User driven systems to bridge the semantic gap. - Divna Djordjevic; Ebroul Izquierdo; Marcin Grzegorzek (EUSIPCO, 2007)

Statistical 3D object classification and localization with context modeling. - Marcin Grzegorzek; Ebroul Izquierdo (EUSIPCO, 2007)

Appearance based statistical object recognition including color and context modeling. - Marcin Grzegorzek (Logos, 2007)

Semantic Multimedia. - Steffen Staab; Ansgar Scherp; Richard Arndt; Raphaël Troncy; Marcin Grzegorzek; Carsten Saathoff; Simon Schenk; Lynda Hardman (Reasoning Web, 2008)

Labelling Image Regions Using Wavelet Features and Spatial Prototypes. - Carsten Saathoff; Marcin Grzegorzek; Steffen Staab (SAMT, 2008)

Probabilistic classification of intracranial gliomas in digital microscope images based on EGFR quantity. - Marcin Grzegorzek; Marianna Buckan; Sigrid Horn (Image Processing, 2009)

Large Scale Tag Recommendation Using Different Image Representations. - Rabeeh Abbasi; Marcin Grzegorzek; Steffen Staab (SAMT, 2009)

Comparative evaluation of spatial context techniques for semantic image analysis. - Georgios Th. Papadopoulos; Carsten Saathoff; Marcin Grzegorzek; Vasileios Mezaris; Ioannis Kompatsiaris; Steffen Staab; Michael G. Strintzis (WIAMIS, 2009)

Recognition of Objects Represented in Different Color Spaces. - Marcin Grzegorzek; Alexandra Wolyniec; Frank Schmitt; Dietrich Paulus (CGIV/MCS, 2010)

Wavelet-Based Inpainting for Object Removal from Image Series. - Sebastian Vetter; Marcin Grzegorzek; Dietrich Paulus (DAGM-Symposium, 2010)

Teeth segmentation in 3D dentition models for the virtual articulator. - Marcin Grzegorzek; Dietrich Paulus; Marina Trierscheid; Dimitri Papoutsis (ICIP, 2010)

A Multi-stage Approach for 3D Teeth Segmentation from Dentition Surfaces. - Marcin Grzegorzek; Marina Trierscheid; Dimitri Papoutsis; Dietrich Paulus (ICISP, 2010)

Counting Lymphocytes in Histopathology Images Using Connected Components. - Felix Graf; Marcin Grzegorzek; Dietrich Paulus (ICPR Contests, 2010)

Classification of Image Regions Using the Wavelet Standard Deviation Descriptor. - Sönke Greve; Marcin Grzegorzek; Carsten Saathoff; Dietrich Paulus (IMCSIT, 2010)

Local Wavelet Features for Statistical Object Classification and Localization. - Marcin Grzegorzek; Sorin Sav; Noel E. O'Connor; Ebroul Izquierdo (IEEE Multim., 2010)

Introduction to the special issue on semantic and digital media technologies. - Marcin Grzegorzek; Lynda Hardman; David Duce; Siegfried Handschuh; Michela Spagnuolo (Multim. Tools Appl., 2010)

A system for 3D texture-based probabilistic object recognition and its applications. - Marcin Grzegorzek (Pattern Anal. Appl., 2010)

A Generic Approach to the Texture Detection Problem in Digital Images. - Christian Feinen; Marcin Grzegorzek; Detlev Droege; Dietrich Paulus (Computer Recognition Systems 4, 2011)

Examining the applicability of virtual reality technique for video retrieval. - Kimiaki Shirahama; Kuniaki Uehara; Marcin Grzegorzek (CBMI, 2012)

Blood Vessel Segmentation in HRT Images for Glaucoma Early Detection. - Marcin Grzegorzek; Paula Lubina (ITIB, 2012)

Texture-Based Text Detection in Digital Images with Wavelet Features and Support Vector Machines. - Marcin Grzegorzek; Chen Li 022; Johann Raskatow; Dietrich Paulus; Natalia Vassilieva (CORES, 2013)

Extended Investigations on Skeleton Graph Matching for Object Recognition. - Jens Hedrich; Cong Yang; Christian Feinen; Simone Schäfer; Dietrich Paulus; Marcin Grzegorzek (CORES, 2013)

Classification of environmental microorganisms in microscopic images using shape features and support vector machines. - Chen Li 022; Kimiaki Shirahama; Marcin Grzegorzek; Fangshu Ma; Beihai Zhou (ICIP, 2013)

Graph-based Shape Representation for Object Retrieval. - Ali Amanpourgharaei; Christian Feinen; Marcin Grzegorzek (ICPRAM, 2013)

Robust 3-D Object Skeletonisation for the Similarity Measure. - Christian Feinen; David Barnowsky; Dietrich Paulus; Marcin Grzegorzek (ICPRAM, 2013)

4-D fuzzy connectedness-based medical image segmentation technique. - Joanna Czajkowska; Jacek Kawa; Zbigniew Czajkowski; Marcin Grzegorzek (MIXDES, 2013)

University of Siegen, Kobe University and Muroran Institute of Technology at TRECVID 2013 Multimedia Event Detection. - Kimiaki Shirahama; Chen Li 022; Marcin Grzegorzek; Kuniaki Uehara (TRECVID, 2013)

Trends in semantic and digital media technologies. - Marcin Grzegorzek; Michael Granitzer; Stefan M. Rüger; Michael Sintek; Thierry Declerck; Massimo Romanelli (Multim. Tools Appl., 2013)

Object Similarity by Humans and Machines. - Cong Yang; Marcin Grzegorzek (AAAI Fall Symposia, 2014)

Shape Matching Using Point Context and Contour Segments. - Christian Feinen; Cong Yang; Oliver Tiebe; Marcin Grzegorzek (ACCV (4), 2014)

Skeleton-based abdominal aorta registration technique. - Christian Feinen; Joanna Czajkowska; Marcin Grzegorzek; Matthias Raspe; Ralph Wickenhöfer (EMBC, 2014)

3D object retrieval by 3D curve matching. - Christian Feinen; Joanna Czajkowska; Marcin Grzegorzek; Longin Jan Latecki (ICIP, 2014)

Shape-based object retrieval by contour segment matching. - Cong Yang; Oliver Tiebe; Pit Pietsch; Christian Feinen; Udo Kelter; Marcin Grzegorzek (ICIP, 2014)

Shape-Based Classification of Environmental Microorganisms. - Cong Yang; Chen Li 022; Oliver Tiebe; Kimiaki Shirahama; Marcin Grzegorzek (ICPR, 2014)

Robust self-localization using Wi-Fi, step/turn-detection and recursive density estimation. - Frank Ebner; Frank Deinzer; Lukas Köping; Marcin Grzegorzek (IPIN, 2014)

Statistical indoor localization using fusion of depth-images and step detection. - Toni Fetzer; Frank Deinzer; Lukas Köping; Marcin Grzegorzek (IPIN, 2014)

Multimedia Event Detection Using Hidden Conditional Random Fields. - Kimiaki Shirahama; Marcin Grzegorzek; Kuniaki Uehara (ICMR, 2014)

Video Retrieval Based on Uncertain Concept Detection Using Dempster-Shafer Theory. - Kimiaki Shirahama; Kenji Kumabuchi; Marcin Grzegorzek; Kuniaki Uehara (Multimedia Data Mining and Analytics, 2015)

Skeleton-based audio envelope shape analysis. - Cong Yang; Oliver Tiebe; Marcin Grzegorzek; Ewa Lukasik (ACPR, 2015)

Object detection and depth estimation for 3D trajectory extraction. - Zeyd Boukhers; Kimiaki Shirahama; Frédéric Li; Marcin Grzegorzek (CBMI, 2015)

Shape-Based Eye Blinking Detection and Analysis. - Zeyd Boukhers; Tomasz Jarzynski; Florian Schmidt 001; Oliver Tiebe; Marcin Grzegorzek (CORES, 2015)

Environmental Microbiological Content-Based Image Retrieval System Using Internal Structure Histogram. - Yan Ling Zou; Chen Li 022; Zeyd Boukhers; Kimiaki Shirahama; Tao Jiang 014; Marcin Grzegorzek (CORES, 2015)

Improving indoor localization by user feedback. - Lukas Köping; Marcin Grzegorzek; Frank Deinzer; Szymon Bobek; Mateusz Slazynski; Grzegorz J. Nalepa (FUSION, 2015)

Shape-based Object Retrieval and Classification with Supervised Optimisation. - Cong Yang; Oliver Tiebe; Pit Pietsch; Christian Feinen; Udo Kelter; Marcin Grzegorzek (ICPRAM (1), 2015)

Multi sensor 3D indoor localisation. - Frank Ebner; Toni Fetzer; Frank Deinzer; Lukas Köping; Marcin Grzegorzek (IPIN, 2015)

Extracting 3D Trajectories of Objects from 2D Videos using Particle Filter. - Zeyd Boukhers; Kimiaki Shirahama; Frédéric Li; Marcin Grzegorzek (ICMR, 2015)

Environmental Microorganism Classification Using Sparse Coding and Weakly Supervised Learning. - Chen Li 022; Kimiaki Shirahama; Marcin Grzegorzek (EMR@ICMR, 2015)

Shape-based Object Matching Using Point Context. - Cong Yang; Christian Feinen; Oliver Tiebe; Kimiaki Shirahama; Marcin Grzegorzek (ICMR, 2015)

Enhanced surface normal computation by exploiting RGB-D sensory information. - Jens Hedrich; Dietrich Paulus; Francois Genois; Marcin Grzegorzek (MVA, 2015)

Representing the evolving temporal envelope of musical instruments sounds using Computer Vision methods. - Cong Yang; Marcin Grzegorzek; Ewa Lukasik (SPA, 2015)

University of Siegen, Kobe University and NICT at TRECVID 2015 SIN and MED Tasks. - Kimiaki Shirahama; Takashi Shinozaki; Yasuyuki Matsumoto; Marcin Grzegorzek; Kuniaki Uehara (TRECVID, 2015)

Skeleton Graph Matching vs. Maximum Weight Cliques aorta registration techniques. - Joanna Czajkowska; Christian Feinen; Marcin Grzegorzek; Matthias Raspe; Ralph Wickenhöfer (Comput. Medical Imaging Graph., 2015)

Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography. - Imad Zyout; Joanna Czajkowska; Marcin Grzegorzek (Comput. Medical Imaging Graph., 2015)

Weakly supervised detection of video events using hidden conditional random fields. - Kimiaki Shirahama; Marcin Grzegorzek; Kuniaki Uehara (Int. J. Multim. Inf. Retr., 2015)

Human-Machine Cooperation in Large-Scale Multimedia Retrieval: A Survey. - Kimiaki Shirahama; Marcin Grzegorzek; Bipin Indurkhya (J. Probl. Solving, 2015)

Interactive tracking of insect posture. - Minmin Shen; Chen Li 022; Wei Huang 013; Paul Szyszka; Kimiaki Shirahama; Marcin Grzegorzek; Dorit Merhof; Oliver Deussen (Pattern Recognit., 2015)

An automatic vision-based monitoring system for accurate Vojta-therapy. - Muhammad Hassan Khan; Julien Helsper; Cong Yang; Marcin Grzegorzek (ICIS, 2016)

On prior navigation knowledge in multi sensor indoor localisation. - Frank Ebner; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek (FUSION, 2016)

Convoy Detection in Crowded Surveillance Videos. - Zeyd Boukhers; Yicong Wang; Kimiaki Shirahama; Kuniaki Uehara; Marcin Grzegorzek (HBU, 2016)

Codebook approach for sensor-based human activity recognition. - Kimiaki Shirahama; Lukas Köping; Marcin Grzegorzek (UbiComp Adjunct, 2016)

Stem cell microscopic image segmentation using supervised normalized cuts. - Xinyu Huang 003; Chen Li 022; Minmin Shen; Kimiaki Shirahama; Johanna Nyffeler; Marcel Leist; Marcin Grzegorzek; Oliver Deussen (ICIP, 2016)

Automatic recognition of movement patterns in the vojta-therapy using RGB-D data. - Muhammad Hassan Khan; Julien Helsper; Zeyd Boukhers; Marcin Grzegorzek (ICIP, 2016)

Environmental microorganism image retrieval using multiple colour channels fusion and particle swarm optimisation. - Yan Ling Zou; Chen Li 022; Kimiaki Shirahama; Tao Jiang 014; Marcin Grzegorzek (ICIP, 2016)

Unknown object tracking in 360-degree camera images. - Ahmad Delforouzi; Seyed Amir Hossein Tabatabaei; Kimiaki Shirahama; Marcin Grzegorzek (ICPR, 2016)

On Monte Carlo smoothing in multi sensor indoor localisation. - Toni Fetzer; Frank Ebner; Frank Deinzer; Lukas Köping; Marcin Grzegorzek (IPIN, 2016)

Medical Data Understanding. - Marcin Grzegorzek (ISD, 2016)

Polar Object Tracking in 360-Degree Camera Images. - Ahmad Delforouzi; Seyed Amir Hossein Tabatabaei; Kimiaki Shirahama; Marcin Grzegorzek (ISM, 2016)

Human Activity Recognition Using Smartphone Sensors. - Marcin D. Bugdol; Andrzej W. Mitas; Marcin Grzegorzek; Robert Meyer; Christoph Wilhelm (ITIB (2), 2016)

Emotion Recognition Based on Physiological Sensor Data Using Codebook Approach. - Kimiaki Shirahama; Marcin Grzegorzek (ITIB (2), 2016)

Multiple human detection in depth images. - Muhammad Hassan Khan; Kimiaki Shirahama; Muhammad Shahid Farid; Marcin Grzegorzek (MMSP, 2016)

Investigations on skeleton completeness for skeleton-based shape matching. - Cong Yang; Oliver Tiebe; Marcin Grzegorzek; Bipin Indurkhya (SPA, 2016)

Kobe University, NICT and University of Siegen at TRECVID 2016 AVS Task. - Yasuyuki Matsumoto; Takashi Shinozaki; Kimiaki Shirahama; Marcin Grzegorzek; Kuniaki Uehara (TRECVID, 2016)

Improving object classification robustness in RGB-D using adaptive SVMs. - Jorge René Nuricumbo; Haider Ali; Zoltan-Csaba Marton; Marcin Grzegorzek (Multim. Tools Appl., 2016)

Towards large-scale multimedia retrieval enriched by knowledge about human interpretation - Retrospective survey. - Kimiaki Shirahama; Marcin Grzegorzek (Multim. Tools Appl., 2016)

Environmental microbiology aided by content-based image analysis. - Chen Li 022; Kimiaki Shirahama; Marcin Grzegorzek (Pattern Anal. Appl., 2016)

Object matching with hierarchical skeletons. - Cong Yang; Oliver Tiebe; Kimiaki Shirahama; Marcin Grzegorzek (Pattern Recognit., 2016)

Shape-based object matching using interesting points and high-order graphs. - Cong Yang; Christian Feinen; Oliver Tiebe; Kimiaki Shirahama; Marcin Grzegorzek (Pattern Recognit. Lett., 2016)

A Vision-Based Method for Automatic Crack Detection in Railway Sleepers. - Ahmad Delforouzi; Seyed Amir Hossein Tabatabaei; Muhammad Hassan Khan; Marcin Grzegorzek (CORES, 2017)

Gait Recognition Using Motion Trajectory Analysis. - Muhammad Hassan Khan; Frédéric Li; Muhammad Shahid Farid; Marcin Grzegorzek (CORES, 2017)

Classification of Physiological Data for Emotion Recognition. - Philip Gouverneur; Joanna Jaworek-Korjakowska; Lukas Köping; Kimiaki Shirahama; Pawel Kleczek; Marcin Grzegorzek (ICAISC (1), 2017)

Automatic Detection of Blue-Whitish Veil as the Primary Dermoscopic Feature. - Joanna Jaworek-Korjakowska; Pawel Kleczek; Marcin Grzegorzek; Kimiaki Shirahama (ICAISC (1), 2017)

Person identification using spatiotemporal motion characteristics. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (ICIP, 2017)

Action Sequence Matching of Team Managers. - Olaf Flak; Cong Yang; Marcin Grzegorzek (ICPRAM, 2017)

Real-Time Gesture Recognition using a Particle Filtering Approach. - Frédéric Li; Lukas Köping; Sebastian Schmitz; Marcin Grzegorzek (ICPRAM, 2017)

Recovering from sample impoverishment in context of indoor localisation. - Toni Fetzer; Frank Ebner; Frank Deinzer; Marcin Grzegorzek (IPIN, 2017)

Robust and Fast Object Tracking for Challenging 360-degree Videos. - Ahmad Delforouzi; Marcin Grzegorzek (ISM, 2017)

Integration of Multi-modal Cues in Synthetic Attention Processes to Drive Virtual Agent Behavior. - Sven Seele; Tobias Haubrich; Tim Metzler; Jonas Schild; Rainer Herpers; Marcin Grzegorzek (IVA, 2017)

Augmenting Cognitive Processes and Behavior of Intelligent Virtual Agents by Modeling Synthetic Perception. - Sven Seele; Tobias Haubrich; Jonas Schild; Rainer Herpers; Marcin Grzegorzek (ACM Multimedia (Thematic Workshops), 2017)

Kobe University, NICT and University of Siegen at TRECVID 2017 AVS Task. - Zhenying He; Takashi Shinozaki; Kimiaki Shirahama; Marcin Grzegorzek; Kuniaki Uehara (TRECVID, 2017)

On Wi-Fi Model Optimizations for Smartphone-Based Indoor Localization. - Frank Ebner; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek (ISPRS Int. J. Geo Inf., 2017)

Vojta-Therapy: A Vision-Based Framework to Recognize the Movement Patterns. - Muhammad Hassan Khan; Marcin Grzegorzek (Int. J. Softw. Innov., 2017)

Evaluating contour segment descriptors. - Cong Yang; Oliver Tiebe; Kimiaki Shirahama; Ewa Lukasik; Marcin Grzegorzek (Mach. Vis. Appl., 2017)

Biomedical Data Acquisition and Processing to Recognize Emotions for Affective Learning. - Armin Grünewald; David Kroenert; Jonas Poehler; Rainer Brück 001; Frédéric Li; Julian Littau; Katrin Schnieber; Artur Piet; Marcin Grzegorzek; Henrik Kampling; Björn Niehaves (BIBE, 2018)

Fast Kernel Density Estimation Using Gaussian Filter Approximation. - Markus Bullmann; Toni Fetzer; Frank Ebner; Frank Deinzer; Marcin Grzegorzek (FUSION, 2018)

Cross- View Gait Recognition Using Non-Linear View Transformations of Spatiotemporal Features. - Muhammad Hassan Khan; Muhammad Shahid Farid; Maryiam Zahoor; Marcin Grzegorzek (ICIP, 2018)

Sensor Headband for Emotion Recognition in a Virtual Reality Environment. - David Krönert; Armin Grünewald; Frédéric Li; Marcin Grzegorzek; Rainer Brück 001 (ITIB, 2018)

Using a generic model for codebook-based gait recognition algorithms. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (IWBF, 2018)

Trends in Active and Assisted Living - Open hardware architecture, Human Data Interpretation, intervention and assistance. - Marcin Grzegorzek; Arkadiusz Gertych; Georg Aumayr; Ewa Pietka (Comput. Biol. Medicine, 2018)

A general framework for sensor-based human activity recognition. - Lukas Köping; Kimiaki Shirahama; Marcin Grzegorzek (Comput. Biol. Medicine, 2018)

Codebook-based electrooculography data analysis towards cognitive activity recognition. - Przemyslaw Lagodzinski; Kimiaki Shirahama; Marcin Grzegorzek (Comput. Biol. Medicine, 2018)

A computer vision-based system for monitoring Vojta therapy. - Muhammad Hassan Khan; Julien Helsper; Muhammad Shahid Farid; Marcin Grzegorzek (Int. J. Medical Informatics, 2018)

Less restrictive camera odometry estimation from monocular camera. - Zeyd Boukhers; Kimiaki Shirahama; Marcin Grzegorzek (Multim. Tools Appl., 2018)

Environmental microorganism classification using conditional random fields and deep convolutional neural networks. - Sergey Kosov; Kimiaki Shirahama; Chen Li 022; Marcin Grzegorzek (Pattern Recognit., 2018)

Training-Based Methods for Comparison of Object Detection Methods for Visual Object Tracking. - Ahmad Delforouzi; Bhargav Pamarthi; Marcin Grzegorzek (Sensors, 2018)

Smartphone-Based Indoor Localization within a 13th Century Historic Building. - Toni Fetzer; Frank Ebner; Markus Bullmann; Frank Deinzer; Marcin Grzegorzek (Sensors, 2018)

Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model. - Muhammad Hassan Khan; Manuel Schneider; Muhammad Shahid Farid; Marcin Grzegorzek (Sensors, 2018)

Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors. - Frédéric Li; Kimiaki Shirahama; Muhammad Adeel Nisar; Lukas Köping; Marcin Grzegorzek (Sensors, 2018)

Representation and Matching of Team Managers: An Experimental Research. - Cong Yang; Olaf Flak; Marcin Grzegorzek (IEEE Trans. Comput. Soc. Syst., 2018)

Example-Based 3D Trajectory Extraction of Objects From 2D Videos. - Zeyd Boukhers; Kimiaki Shirahama; Marcin Grzegorzek (IEEE Trans. Circuits Syst. Video Technol., 2018)

Deep Learning for Object Tracking in 360 Degree Videos. - Ahmad Delforouzi; David Holighaus; Marcin Grzegorzek (CORES, 2019)

Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach. - Hawzhin Hozhabr Pour; Lukas Wegmeth; Alexander Kordes; Marcin Grzegorzek; Roland Wismüller (CORES, 2019)

Electromyography Based Translator of the Polish Sign Language. - Noemi Kowalewska; Przemyslaw Lagodzinski; Marcin Grzegorzek (ITIB, 2019)

Electrooculography Application in Vision Therapy Using Smart Glasses. - Maja Trzepacz; Przemyslaw Lagodzinski; Marcin Grzegorzek (ITIB, 2019)

Automatic Detection of the Cracks on the Concrete Railway Sleepers. - Seyed Amir Hossein Tabatabaei; Ahmad Delforouzi; Muhammad Hassan Khan; Tim Wesener; Marcin Grzegorzek (Int. J. Pattern Recognit. Artif. Intell., 2019)

A polar model for fast object tracking in 360-degree camera images. - Ahmad Delforouzi; Seyed Amir Hossein Tabatabaei; Kimiaki Shirahama; Marcin Grzegorzek (Multim. Tools Appl., 2019)

A generic codebook based approach for gait recognition. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (Multim. Tools Appl., 2019)

Labeling of partially occluded regions via the multi-layer CRF. - Sergey Kosov; Kimiaki Shirahama; Marcin Grzegorzek (Multim. Tools Appl., 2019)

Spatiotemporal features of human motion for gait recognition. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (Signal Image Video Process., 2019)

Sleep stage classification for child patients using DeConvolutional Neural Network. - Xinyu Huang 003; Kimiaki Shirahama; Frédéric Li; Marcin Grzegorzek (Artif. Intell. Medicine, 2020)

A non-linear view transformations model for cross-view gait recognition. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (Neurocomputing, 2020)

Short-term load forecasting with discrete state Hidden Markov Models. - Sylwia Henselmeyer; Marcin Grzegorzek (J. Intell. Fuzzy Syst., 2020)

Comparison of 2.4 GHz WiFi FTM- and RSSI-Based Indoor Positioning Methods in Realistic Scenarios. - Markus Bullmann; Toni Fetzer; Frank Ebner; Markus Ebner 002; Frank Deinzer; Marcin Grzegorzek (Sensors, 2020)

Recognition of Typical Locomotion Activities Based on the Sensor Data of a Smartphone in Pocket or Hand. - Markus Ebner 002; Toni Fetzer; Markus Bullmann; Frank Deinzer; Marcin Grzegorzek (Sensors, 2020)

AI Approaches towards Prechtl's Assessment of General Movements: A Systematic Literature Review. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Philip Gouverneur; Marion Rapp; Marcin Grzegorzek (Sensors, 2020)

Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure. - Muhammad Hassan Khan; Martin Zöller; Muhammad Shahid Farid; Marcin Grzegorzek (Sensors, 2020)

Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification. - Frédéric Li; Kimiaki Shirahama; Muhammad Adeel Nisar; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2020)

Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition. - Muhammad Adeel Nisar; Kimiaki Shirahama; Frédéric Li; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2020)

A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches. - Chen Li 022; Xintong Li; Md Mamunur Rahaman; Xiaoyan Li; Hongzan Sun; Hong Zhang 018; Yong Zhang; Xiaoqi Li 007; Jian Wu 036; Yudong Yao; Marcin Grzegorzek (CoRR, 2021)

A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis. - Frank Kulwa; Chen Li 022; Jinghua Zhang; Kimiaki Shirahama; Sergey Kosov; Xin Zhao 023; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2021)

A State-of-the-art Survey of Artificial Neural Networks for Whole-slide Image Analysis: from Popular Convolutional Neural Networks to Potential Visual Transformers. - Chen Li 022; Xintong Li; Xiaoyan Li; Md Mamunur Rahaman; Xiaoqi Li 007; Jian Wu 036; Yudong Yao; Marcin Grzegorzek (CoRR, 2021)

GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathology Image Classification. - Haoyuan Chen; Chen Li 022; Xiaoyan Li; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Yudong Yao; Marcin Grzegorzek (CoRR, 2021)

A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers. - Chen Li 022; Pingli Ma; Md Mamunur Rahaman; Yudong Yao; Jiawei Zhang; Shuojia Zou; Xin Zhao 023; Marcin Grzegorzek (CoRR, 2021)

Is Image Size Important? A Robustness Comparison of Deep Learning Methods for Multi-scale Cell Image Classification Tasks: from Convolutional Neural Networks to Visual Transformers. - Wanli Liu; Chen Li 022; Hongzan Sun; Weiming Hu; Haoyuan Chen; Changhao Sun; Marcin Grzegorzek (CoRR, 2021)

A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer. - Ao Chen 001; Chen Li 022; Haoyuan Chen; Hechen Yang; Peng Zhao; Weiming Hu; Wanli Liu; Shuojia Zou; Marcin Grzegorzek (CoRR, 2021)

A New Gastric Histopathology Subsize Image Database (GasHisSDB) for Classification Algorithm Test: from Linear Regression to Visual Transformer. - Weiming Hu; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Jiquan Ma; Haoyuan Chen; Wanli Liu; Changhao Sun; Marcin Grzegorzek (CoRR, 2021)

A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Images: from Convolutional Neural Networks to Visual Transformers. - Hechen Yang; Chen Li 022; Peng Zhao; Ao Chen 001; Xin Zhao 023; Marcin Grzegorzek (CoRR, 2021)

A Comparison of Deep Learning Classification Methods on Small-scale Image Data set: from Convolutional Neural Networks to Visual Transformers. - Peng Zhao; Chen Li 022; Md Mamunur Rahaman; Hechen Yang; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2021)

Applications of Artificial Neural Networks in Microorganism Image Analysis: A Comprehensive Review from Conventional Multilayer Perceptron to Popular Convolutional Neural Network and Potential Visual Transformer. - Jinghua Zhang; Chen Li 022; Marcin Grzegorzek (CoRR, 2021)

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation. - Hechen Yang; Chen Li 022; Xin Zhao 023; Bencheng Cai; Jiawei Zhang; Pingli Ma; Peng Zhao; Ao Chen 001; Tao Jiang 014; Hongzan Sun; Yueyang Teng; Shouliang Qi; et al. (CoRR, 2021)

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation. - Peng Zhao; Chen Li 022; Md Mamunur Rahaman; Hao Xu 042; Pingli Ma; Hechen Yang; Hongzan Sun; Tao Jiang 014; Ning Xu 012; Marcin Grzegorzek (CoRR, 2021)

Cross-modal Music Emotion Recognition Using Composite Loss-based Embeddings. - Naoki Takashima; Frédéric Li; Marcin Grzegorzek; Kimiaki Shirahama (CoRR, 2021)

Vision-based approaches towards person identification using gait. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (Comput. Sci. Rev., 2021)

Exploiting Superpixels for Multi-Focus Image Fusion. - Areeba Ilyas; Muhammad Shahid Farid; Muhammad Hassan Khan; Marcin Grzegorzek (Entropy, 2021)

LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation. - Jinghua Zhang; Chen Li 022; Sergey Kosov; Marcin Grzegorzek; Kimiaki Shirahama; Tao Jiang 014; Changhao Sun; Zihan Li; Hong Li (Pattern Recognit., 2021)

A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data. - Fatima Amjad; Muhammad Hassan Khan; Muhammad Adeel Nisar; Muhammad Shahid Farid; Marcin Grzegorzek (Sensors, 2021)

Comparison of Feature Extraction Methods for Physiological Signals for Heat-Based Pain Recognition. - Philip Gouverneur; Frédéric Li; Waclaw M. Adamczyk; Tibor M. Szikszay; Kerstin Luedtke; Marcin Grzegorzek (Sensors, 2021)

Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. - Raoul Hoffmann; Hanna Brodowski; Axel Steinhage; Marcin Grzegorzek (Sensors, 2021)

Towards Automatic Skeleton Extraction With Skeleton Grafting. - Cong Yang; Bipin Indurkhya; John See; Marcin Grzegorzek (IEEE Trans. Vis. Comput. Graph., 2021)

Magnetic Signature Sensor Model for Accurate Short-Distance Localization. - Steffen Kastner; Markus Ebner 002; Markus Bullmann; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek (IEEE SENSORS, 2022)

Data Driven Sensor Model for Wi-Fi Fine Timing Measurement. - Markus Bullmann; Toni Fetzer; Markus Ebner 002; Steffen Kastner; Frank Deinzer; Marcin Grzegorzek (IPIN, 2022)

PIPF: Proposal-Interpolating Particle Filter. - Markus Ebner 002; Toni Fetzer; Markus Bullmann; Steffen Kastner; Frank Deinzer; Marcin Grzegorzek (IPIN, 2022)

Classifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data - A Single Case Study. - Laura Liebenow; Jasmin Walter; Raoul Hoffmann; Axel Steinhage; Marcin Grzegorzek (ITIB, 2022)

DVT: Application of Deep Visual Transformer in Cervical Cell Image Classification. - Wanli Liu; Chen Li 022; Hongzan Sun; Weiming Hu; Haoyuan Chen; Marcin Grzegorzek (ITIB, 2022)

PIS-Net: A Novel Pixel Interval Sampling Network for Dense Microorganism Counting in Microscopic Images. - Jiawei Zhang; Chen Li 022; Hongzan Sun; Marcin Grzegorzek (ITIB, 2022)

Image Classification in Breast Histopathology Using Transfer and Ensemble Learning. - Yuchao Zheng; Chen Li 022; Xiaomin Zhou; Haoyuan Chen; Haiqing Zhang; Yixin Li; Hongzan Sun; Marcin Grzegorzek (ITIB, 2022)

Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data. - Gabriela Augustinov; Muhammad Adeel Nisar; Frédéric Li; Seyed Amir Hossein Tabatabaei; Marcin Grzegorzek; Keywan Sohrabi; Sebastian J. F. Fudickar (iWOAR, 2022)

BlumNet: Graph Component Detection for Object Skeleton Extraction. - Yulu Zhang; Liang Sang; Marcin Grzegorzek; John See; Cong Yang (ACM Multimedia, 2022)

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches. - Xintong Li; Chen Li 022; Md Mamunur Rahaman; Hongzan Sun; Xiaoqi Li 007; Jian Wu 036; Yudong Yao; Marcin Grzegorzek (Artif. Intell. Rev., 2022)

A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches. - Jiawei Zhang; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao 023; Tao Jiang 014; Marcin Grzegorzek (Artif. Intell. Rev., 2022)

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach. - Haoyuan Chen; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer. - Weiming Hu; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Jiquan Ma; Yong Zhang; Haoyuan Chen; Wanli Liu; Changhao Sun; Yudong Yao; Hongzan Sun; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers. - Wanli Liu; Chen Li 022; Md Mamunur Rahaman; Tao Jiang 014; Hongzan Sun; Xiangchen Wu; Weiming Hu; Haoyuan Chen; Changhao Sun; Yudong Yao; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos. - Shuojia Zou; Chen Li 022; Hongzan Sun; Peng Xu; Jiawei Zhang; Pingli Ma; Yudong Yao; Xinyu Huang 003; Marcin Grzegorzek (Comput. Biol. Medicine, 2022)

A State-of-the-art Survey of U-Net in Microscopic Image Analysis: from Simple Usage to Structure Mortification. - Jian Wu 036; Wanli Liu; Chen Li 022; Tao Jiang 014; Islam Mohammad Shariful; Hongzan Sun; Xiaoqi Li 007; Xintong Li; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

A Survey of Semen Quality Evaluation in Microscopic Videos Using Computer Assisted Sperm Analysis. - Wenwei Zhao; Pingli Ma; Chen Li 022; Xiaoning Bu; Shuojia Zou; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2022)

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation. - Weiming Hu; Chen Li 022; Xiaoyan Li; Md Mamunur Rahaman; Yong Zhang; Haoyuan Chen; Wanli Liu; Yudong Yao; Hongzan Sun; Ning Xu 012; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements. - Jiawei Zhang; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao 023; Tao Jiang 014; Marcin Grzegorzek (CoRR, 2022)

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images. - Jiawei Zhang; Ning Xu 012; Chen Li 022; Md Mamunur Rahaman; Yu-Dong Yao; Yu-Hao Lin; Jinghua Zhang; Tao Jiang 014; Wenjun Qin; Marcin Grzegorzek (CoRR, 2022)

Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology. - Yuchao Zheng; Chen Li 022; Xiaomin Zhou; Haoyuan Chen; Hao Xu 042; Yixin Li; Haiqing Zhang; Xiaoyan Li; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer. - Haiqing Zhang; Chen Li 022; Shiliang Ai; Haoyuan Chen; Yuchao Zheng; Yixin Li; Xiaoyan Li; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek (CoRR, 2022)

A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer. - Weiming Hu; Haoyuan Chen; Wanli Liu; Xiaoyan Li; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek; Chen Li 022 (CoRR, 2022)

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks. - Liyu Shi; Xiaoyan Li; Weiming Hu; Haoyuan Chen; Jing Chen; Zizhen Fan; Minghe Gao; Yujie Jing; Guotao Lu; Deguo Ma; Zhiyu Ma; Qingtao Meng; et al. (CoRR, 2022)

GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection. - Haoyuan Chen; Chen Li 022; Ge Wang 001; Xiaoyan Li; Md Mamunur Rahaman; Hongzan Sun; Weiming Hu; Yixin Li; Wanli Liu; Changhao Sun; Shiliang Ai; Marcin Grzegorzek (Pattern Recognit., 2022)

CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron. - Wanli Liu; Chen Li 022; Ning Xu 012; Tao Jiang 014; Md Mamunur Rahaman; Hongzan Sun; Xiangchen Wu; Weiming Hu; Haoyuan Chen; Changhao Sun; Yudong Yao; Marcin Grzegorzek (Pattern Recognit., 2022)

Correction: Hoffmann et al. Detecting Walking Challenges in Gait Patterns Using a Capacitive Sensor Floor and Recurrent Neural Networks. Sensors 2021, 21, 1086. - Raoul Hoffmann; Hanna Brodowski; Axel Steinhage; Marcin Grzegorzek (Sensors, 2022)

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Xinyu Huang 003; Jana Hartz; Olaf Flak; Frédéric Li; Philip Gouverneur; Artur Piet; Kerstin M. Oltmanns; Marcin Grzegorzek (Sensors, 2022)

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. - Hawzhin Hozhabr Pour; Frédéric Li; Lukas Wegmeth; Christian Trense; Rafal Doniec; Marcin Grzegorzek; Roland Wismüller (Sensors, 2022)

LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect. - Mingshi Li; Shuyao You; Wanli Liu; Hongzan Sun; Yuexi Wang; Marcin Grzegorzek; Chen Li 022 (ADMA (5), 2023)

PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection. - Shuyao You; Mingshi Li; Wanli Liu; Hongzan Sun; Yuexi Wang; Marcin Grzegorzek; Chen Li 022 (ADMA (5), 2023)

Multi-modal Medical Information based Data Mining for Expression and Characteristic Pattern Prediction of TP53 in Endometrial Carcinoma. - Tianming Du; Chen Li 022; Tao Jiang 014; Jinzhu Yang; Marcin Grzegorzek; Hongzan Sun (IEEE Big Data, 2023)

Predicting PD-L1 status of esophageal cancer from H&E images based on FusedNet model. - Minghe Gao; Chen Li 022; Jingyu Zhang; Haoyuan Chen; Weiming Hu; Hechen Yang; Liyu Shi; Yujie Jing; Shuaiyi Tian; Hongzan Sun; Marcin Grzegorzek; Xiaoyan Li (IEEE Big Data, 2023)

Dermoscopic Image Classification Using Attention Mechanism and Ensemble Learning Approaches. - Shanchuan Huang; Hongwei Lei; Liuhan Jin; Jinzhu Yang; Tao Jiang 014; Yudong Yao; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2023)

ECA-RetinaNet: A Novel Self-Attention RetinaNet for Environmental Microorganism Image Object Detection. - Hechen Yang; Jinzhu Yang; Tao Jiang 014; Xin Zhao 023; Jinghua Zhang; Peng Zhao; Ao Chen 001; Qianqing Nie; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2023)

Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy Population. - Szymon Siecinski; Muhammad Tausif Irshad; Md. Abid Hasan; Ewaryst J. Tkacz; Pawel S. Kostka; Marcin Grzegorzek (EMBC, 2023)

Publicly available signal databases containing seismocardiographic signals - the state in early 2023. - Szymon Siecinski; Ewaryst J. Tkacz; Marcin Grzegorzek (EMBC, 2023)

A Location-Independent Flood Prediction Model for Bangladesh's Rivers. - Md. Abid Hasan; Nirjhor Tahmidur Rouf; Md Sajid Hossain; Lamia Binta Latif; Anika Tasnim; Marcin Grzegorzek (ICTAI, 2023)

SIMUL: Synchronized IMU Dataset of Walking People at Six Body Locations. - Steffen Kastner; Markus Ebner 002; Markus Bullmann; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek (IPIN, 2023)

TOD-Net: Transformer-Based Neural Network for Tiny Object Detection in Sperm Microscopic Videos. - Jiawei Zhang; Shuojia Zou; Chen Li 022; Yudong Yao; Md Mamunur Rahaman; Wei Qian 001; Hongzan Sun; Marcin Grzegorzek; Guojun Wang (ISBI, 2023)

Effects of Time-Series Data Pre-processing on the Transformer-based Classification of Activities from Smart Glasses. - Gabriela Ciortuz; Marcin Grzegorzek; Sebastian J. F. Fudickar (iWOAR, 2023)

Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. - Md. Abid Hasan; Frédéric Li; Artur Piet; Philip Gouverneur; Muhammad Tausif Irshad; Marcin Grzegorzek (iWOAR, 2023)

Sensor-Based Detection of Food Hypersensitivity Using Machine Learning. - Lennart Jablonski; Torge Jensen; Greta M. Ahlemann; Xinyu Huang 003; Vivian V. Tetzlaff-Lelleck; Artur Piet; Franziska Schmelter; Valerie S. Dinkler; Christian Sina; Marcin Grzegorzek (iWOAR, 2023)

WiFi Sensing with Single-Antenna Devices for Ambient Assisted Living. - Robert Schumann; Frédéric Li; Marcin Grzegorzek (iWOAR, 2023)

Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction. - Szymon Siecinski; Muhammad Tausif Irshad; Md. Abid Hasan; Ewaryst Tkacz; Marcin Grzegorzek (iWOAR, 2023)

Embedding-Based Music Emotion Recognition Using Composite Loss. - Naoki Takashima; Frédéric Li; Marcin Grzegorzek; Kimiaki Shirahama (IEEE Access, 2023)

Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features. - Frank Kulwa; Chen Li 022; Marcin Grzegorzek; Md Mamunur Rahaman; Kimiaki Shirahama; Sergey Kosov (Biomed. Signal Process. Control., 2023)

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. - Ao Chen 001; Jinghua Zhang; Md Mamunur Rahaman; Hongzan Sun; Tieyong Zeng; Marcin Grzegorzek; Feng-Lei Fan; Chen Li 022 (CoRR, 2023)

ECPC-IDS: A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. - Dechao Tang; Xuanyi Li; Tianming Du; Deguo Ma; Zhiyu Ma; Hongzan Sun; Marcin Grzegorzek; Huiyan Jiang; Chen Li 022 (CoRR, 2023)

PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage. - Deguo Ma; Chen Li 022; Lin Qiao; Tianming Du; Dechao Tang; Zhiyu Ma; Marcin Grzegorzek; Hongzan Sun (CoRR, 2023)

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. - Rafal Doniec; Justyna Konior; Szymon Siecinski; Artur Piet; Muhammad Tausif Irshad; Natalia Piaseczna; Md. Abid Hasan; Frédéric Li; Muhammad Adeel Nisar; Marcin Grzegorzek (Sensors, 2023)

Using Barometer for Floor Assignation within Statistical Indoor Localization. - Toni Fetzer; Frank Ebner; Frank Deinzer; Marcin Grzegorzek (Sensors, 2023)

Doing More With Moiré Pattern Detection in Digital Photos. - Cong Yang; Zhenyu Yang; Yan Ke; Tao Chen; Marcin Grzegorzek; John See (IEEE Trans. Image Process., 2023)

A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches. - Pingli Ma; Chen Li 022; Md Mamunur Rahaman; Yudong Yao; Jiawei Zhang; Shuojia Zou; Xin Zhao 023; Marcin Grzegorzek (Artif. Intell. Rev., 2023)

Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer. - Jinghua Zhang; Chen Li 022; Yimin Yin; Jiawei Zhang; Marcin Grzegorzek (Artif. Intell. Rev., 2023)

Explainable Artificial Intelligence (XAI) in Pain Research: Understanding the Role of Electrodermal Activity for Automated Pain Recognition. - Philip Gouverneur; Frédéric Li; Kimiaki Shirahama; Luisa Luebke; Waclaw M. Adamczyk; Tibor M. Szikszay; Kerstin Luedtke; Marcin Grzegorzek (Sensors, 2023)

A comprehensive study on codebook-based feature fusion for gait recognition. - Muhammad Hassan Khan; Muhammad Shahid Farid; Marcin Grzegorzek (Inf. Fusion, 2023)

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. - Xinyu Huang 003; Kimiaki Shirahama; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Marcin Grzegorzek (Sensors, 2023)

A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers. - Weiming Hu; Xintong Li; Chen Li 022; Rui Li; Tao Jiang 014; Hongzan Sun; Xinyu Huang 003; Marcin Grzegorzek; Xiaoyan Li (Comput. Biol. Medicine, 2023)

CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer. - Zizhen Fan; Xiangchen Wu; Changzhong Li; Haoyuan Chen; Wanli Liu; Yuchao Zheng; Jing Chen; Xiaoyan Li; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Chen Li 022 (Comput. Biol. Medicine, 2023)

A comprehensive survey of intestine histopathological image analysis using machine vision approaches. - Yujie Jing; Chen Li 022; Tianming Du; Tao Jiang 014; Hongzan Sun; Jinzhu Yang; Liyu Shi; Minghe Gao; Marcin Grzegorzek; Xiaoyan Li (Comput. Biol. Medicine, 2023)

Objective Measurement of Subjective Pain Perception with Autonomic Body Reactions in Healthy Subjects and Chronic Back Pain Patients: An Experimental Heat Pain Study. - Luisa Luebke; Philip Gouverneur; Tibor M. Szikszay; Waclaw M. Adamczyk; Kerstin Luedtke; Marcin Grzegorzek (Sensors, 2023)

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. - Muhammad Adeel Nisar; Kimiaki Shirahama; Muhammad Tausif Irshad; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2023)

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning. - Xinyu Huang 003; Franziska Schmelter; Muhammad Tausif Irshad; Artur Piet; Muhammad Adeel Nisar; Christian Sina; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. - Muhammad Tausif Irshad; Frédéric Li; Muhammad Adeel Nisar; Xinyu Huang 003; Martje Buss; Leonie Kloep; Corinna Peifer; Barbara Kozusznik; Anita Pollak; Adrian Pyszka; Olaf Flak; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

OII-DS: A benchmark Oral Implant Image Dataset for object detection and image classification evaluation. - Qianqing Nie; Chen Li 022; Jinzhu Yang; Yudong Yao; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Ao Chen 001; Haoyuan Chen; Weiming Hu; Rui Li; Jiawei Zhang; et al. (Comput. Biol. Medicine, 2023)

An Extended Few-Shot Learning-Based Approach for Histopathological Image Classification of Pan-Cancer in the Digestive System. - Rui Li; Md Mamunur Rahaman; Xiaoyan Li; Hongzan Sun; Jinzhu Yang; Minghe Gao; Marcin Grzegorzek; Tao Jiang 014; Xinyu Huang 003; Chen Li 022 (ADMA (4), 2024)

RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. - Yihao Sun; Tianming Du; Hongzan Sun; Jian Xu; Md Mamunur Rahaman; Xinghao Wang; Xinyu Huang 003; Tao Jiang 014; Marcin Grzegorzek; Ning Xu 012; Chen Li 022 (ADMA (4), 2024)

RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. - Shuai Ye; Tianming Du; Frank Kulwa; Xiangyu Meng; Md Mamunur Rahaman; Marcin Grzegorzek; Ning Xu 012; Tao Jiang 014; Hongzan Sun; Chen Li 022 (ADMA (4), 2024)

MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification. - Lingling Yuan; Md Mamunur Rahaman; Hongzan Sun; Xiaoyan Li; Marcin Grzegorzek; Ning Xu 012; Chen Li 022 (ADMA (4), 2024)

CH-DDPMs: A Conjugate and Hybrid Diffusion Model for Low-Dose Fat CT Image Segmentation. - Zhihao Chen; Tianming Du; Yihao Sun; Tao Jiang 014; Ning Xu 012; Marcin Grzegorzek; Hongzan Sun; Chen Li 022 (BIBM, 2024)

ACTIVE: A Deep Network for Sperm and Impurity Detection in Microscopic Videos. - Ao Chen 001; Feng-Lei Fan; Jinghua Zhang; Md Mamunur Rahaman; Rui Li; Tao Jiang 014; Tieyong Zeng; Marcin Grzegorzek; Chen Li 022 (BIBM, 2024)

A Novel Non-contrast CT Analysis based Method for Segmenting Epicardial Fat and Exploring the Correlation between Epicardial Fat and Cardiac Function. - Tianming Du; Tao Jiang 014; Marcin Grzegorzek; Ning Xu 012; Hongzan Sun; Chen Li 022 (BIBM, 2024)

MOLMVO-Rényi: An Effective Segmentation Scheme for Prostate Cancer Pathology Images. - Yan Han; Lingling Yuan; Hongzan Sun; Marcin Grzegorzek; Tao Jiang 014; Chen Li 022; Huiling Chen (BIBM, 2024)

A GAN-Based Data Augmentation Method for Mitigating Class Imbalance Problem in Histopathological Image Classification. - Lingling Yuan; Md Mamunur Rahaman; Hongzan Sun; Chen Li 022; Yutong Gu; Tao Jiang 014; Marcin Grzegorzek; Xiaoyan Li (BIBM, 2024)

PRS-Net: A Few-shot Network for Perirenal Fat and Renal Parenchyma Semantic Segmentation. - Xiangyu Meng; Tianming Du; Zihao Wang; Shuai Ye; Shuaiyi Tian; Kunyang Teng; Marcin Grzegorzek; Tao Jiang 014; Hongzan Sun; Chen Li 022 (IEEE Big Data, 2024)

An Infrared and Visible Image based Low-cost Tool for Metabolic Syndrome Monitoring. - Zihao Wang; Zhengwei Zhai; Tianming Du; Shuai Ye; Tao Jiang 014; Marcin Grzegorzek; Hongzan Sun; Chen Li 022 (IEEE Big Data, 2024)

FSL-DSC: A Hybrid Pap Smear Cervical Cancer Image Classification Framework Using Few-shot Learning with Depthwise Separable Convolutions. - Jin Yuan; Xiangchen Wu; Changzhong Li; Hongzan Sun; Tao Jiang 014; Marcin Grzegorzek; Chen Li 022 (IEEE Big Data, 2024)

Advancing Smartphone-based Indoor Positioning through Particle Distribution Optimization. - Toni Fetzer; Markus Bullmann; Steffen Kastner; Frank Deinzer; Marcin Grzegorzek (FUSION, 2024)

Refinement of Sparsely Tagged Ground Truth Paths Using PDR and Particle Filter Smoothing. - Steffen Kastner; Markus Bullmann; Markus Ebner 002; Toni Fetzer; Frank Deinzer; Marcin Grzegorzek (IPIN, 2024)

A Force Control Method of Medical Robot Based on Impedance Control. - Zhihang Yuan; Linshuai Zhang; Tao Jiang 014; Shuoxin Gu; Lin Xu 003; Yujie Zhang; Peng Zeng; Marcin Grzegorzek (ROBIO, 2024)

PHE-SICH-CT-IDS: A benchmark CT image dataset for evaluation semantic segmentation, object detection and radiomic feature extraction of perihematomal edema in spontaneous intracerebral hemorrhage. - Deguo Ma; Chen Li 022; Tianming Du; Lin Qiao; Dechao Tang; Zhiyu Ma; Liyu Shi; Guotao Lu; Qingtao Meng; Zhihao Chen; Marcin Grzegorzek; Hongzan Sun (Comput. Biol. Medicine, 2024)

AATCT-IDS: A benchmark Abdominal Adipose Tissue CT Image Dataset for image denoising, semantic segmentation, and radiomics evaluation. - Zhiyu Ma; Chen Li 022; Tianming Du; Le Zhang 023; Dechao Tang; Deguo Ma; Shanchuan Huang; Yan Liu; Yihao Sun; Zhihao Chen; Jin Yuan; Qianqing Nie; et al. (Comput. Biol. Medicine, 2024)

ECPC-IDS: A benchmark endometrial cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions. - Dechao Tang; Chen Li 022; Tianming Du; Huiyan Jiang; Deguo Ma; Zhiyu Ma; Marcin Grzegorzek; Tao Jiang 014; Hongzan Sun (Comput. Biol. Medicine, 2024)

A state-of-the-art survey of U-Net in microscopic image analysis: from simple usage to structure mortification. - Jian Wu 036; Wanli Liu; Chen Li 022; Tao Jiang 014; Islam Mohammad Shariful; Yudong Yao; Hongzan Sun; Xiaoqi Li 007; Xintong Li; Xinyu Huang 003; Marcin Grzegorzek (Neural Comput. Appl., 2024)

A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data. - Rimsha Fatima; Muhammad Hassan Khan; Muhammad Adeel Nisar; Rafal Doniec; Muhammad Shahid Farid; Marcin Grzegorzek (Sensors, 2024)

What can machine vision do for lymphatic histopathology image analysis: a comprehensive review. - Haoyuan Chen; Xiaoqi Li 007; Chen Li 022; Md Mamunur Rahaman; Xintong Li; Jian Wu 036; Hongzan Sun; Marcin Grzegorzek; Xiaoyan Li (Artif. Intell. Rev., 2024)

Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks. - Cong Yang; Bipin Indurkhya; John See; Bo Gao; Yan Ke; Zeyd Boukhers; Zhenyu Yang; Marcin Grzegorzek (Int. J. Comput. Vis., 2024)

Machine Learning-Based Gesture Recognition Glove: Design and Implementation. - Anna Filipowska; Wojciech Filipowski; Pawel Raif; Marcin Pieniazek; Julia Bodak; Piotr Ferst; Kamil Pilarski; Szymon Siecinski; Rafal Doniec; Julia Mieszczanin; Emilia Skwarek; Katarzyna Bryzik; et al. (Sensors, 2024)

Distinguishing Drivers with Smart Glasses Data and Deep Neural Network. - Natalia Piaseczna; Rafal Doniec; Konrad Duraj; Szymon Siecinski; Marek Jedrychowski; Ewaryst Tkacz; Marcin Grzegorzek (EUROCON, 2025)

Encoding human activities using multimodal wearable sensory data. - Muhammad Hassan Khan; Hadia Shafiq; Muhammad Shahid Farid; Marcin Grzegorzek (Expert Syst. Appl., 2025)

BladeView: Toward Automatic Wind Turbine Inspection With Unmanned Aerial Vehicle. - Cong Yang; Huan Zhou 002; Xun Liu; Yan Ke; Bo Gao; Marcin Grzegorzek; Zeyd Boukhers; Tao Chen; John See (IEEE Trans Autom. Sci. Eng., 2025)

eVAS: A user-friendly electronic Visual Analogue Scale. - Philip Gouverneur; Frédéric Li; Luisa Luebke; Tibor M. Szikszay; Sonja-Dana Roelen; Jarek Krajewski; Kerstin Luedtke; Marcin Grzegorzek (Zenodo, 2025)

eVAS: A user-friendly electronic Visual Analogue Scale. - Philip Gouverneur; Frédéric Li; Luisa Luebke; Tibor M. Szikszay; Sonja-Dana Roelen; Jarek Krajewski; Kerstin Luedtke; Marcin Grzegorzek (J. Open Source Softw., 2025)

Assessment of quality of electrocardiograms, seismocardiograms, and gyrocardiograms based on features derived from symmetric projection attractor reconstruction in healthy subjects. - Szymon Siecinski; Muhammad Tausif Irshad; Md. Abid Hasan; Rafal Doniec; Pawel Kostka; Ewaryst Tkacz; Marcin Grzegorzek (Biomed. Signal Process. Control., 2026)