CT data processing and visualization aspects of virtual colonoscopy. - Andrzej Skalski; Miroslaw Socha; Tomasz P. Zielinski; Mariusz Duplaga (EUSIPCO, 2007)

Displacement Calculation of Heart Walls in ECG Sequences Using Level Set Segmentation and B-Spline Free Form Deformations. - Andrzej Skalski; Pawel Turcza; Tomasz P. Zielinski (ICCVG (2), 2010)

Marker Tracks Post-processing for Accurate Fiducial Marker Position Estimation in Cone Beam CT Projection Images. - Bogdan J. Matuszewski; Tom Marchant; Andrzej Skalski (VISAPP (1), 2010)

Left ventricle USG image segmentation using active contour model. - Andrzej Skalski; Pawel Turcza; Tomasz P. Zielinski; Marc J. Krolczyk; Tomasz Grodzicki (ICCS, 2010)

Computed tomography-based radiotherapy planning on the example of prostate cancer: application of level-set segmentation method guided by atlas-type knowledge. - Andrzej Skalski; Tomasz P. Zielinski; Pawel Kukolowicz; Piotr Kedzierawski (ISABEL, 2011)

The motion capture system to conduct an electrical muscle stimulation experiment on upper limb movement. - Andrzej Skalski; Miroslaw Socha; Lukasz Malicki; Marek Iwaniec (Bio Algorithms Med Syst., 2011)

An application software for anatomical structures segmentation from tomographic data of abdominal cavity. - Grzegorz Toporek; Miroslaw Socha; Andrzej Skalski (Bio Algorithms Med Syst., 2011)

Using ASM in CT Data Segmentaion for Prostate Radiotherapy. - Andrzej Skalski; Artur Kos; Tomasz P. Zielinski (ICCVG, 2012)

Voice pathology classification based on High-Speed Videoendoscopy. - Daria Panek; Andrzej Skalski; Tomasz P. Zielinski; Dimitar D. Deliyski (EMBC, 2015)

Voice pathology detection by fuzzy logic. - Daria Panek; Andrzej Skalski; Janusz Gajda (I2MTC, 2015)

Accuracy assessment of Kinect for Xbox One in point-based tracking applications. - Adrian Goral; Andrzej Skalski (ICMV, 2015)

The renal vessel segmentation for facilitation of partial nephrectomy. - Katarzyna Bugajska; Andrzej Skalski; Janusz Gajda; Tomasz Drewniak (SPA, 2015)

Acoustic Analysis Assessment in Speech Pathology Detection. - Daria Panek; Andrzej Skalski; Janusz Gajda; Ryszard Tadeusiewicz (Int. J. Appl. Math. Comput. Sci., 2015)

Automatic Detection of Parkinson's Disease Based on Modulated Vowels. - Daria Hemmerling; Juan Rafael Orozco-Arroyave; Andrzej Skalski; Janusz Gajda; Elmar Nöth (INTERSPEECH, 2016)

Voice data mining for laryngeal pathology assessment. - Daria Hemmerling; Andrzej Skalski; Janusz Gajda (Comput. Biol. Medicine, 2016)

Application of B-splines FFD image registration in breast cancer radiotherapy planning. - Marek Wodzinski; Andrzej Skalski; Piotr Kedzierawski; Tomasz Kuszewski (IWSSIP, 2017)

Application of demons image registration algorithms in resected breast cancer lodge localization. - Marek Wodzinski; Andrzej Skalski; Izabela Ciepiela; Tomasz Kuszewski; Piotr Kedzierawski (SPA, 2017)

Volume regularization in explicit image registration used for breast cancer bed localization. - Marek Wodzinski; Andrzej Skalski; Izabela Ciepiela; Tomasz Kuszewski; Piotr Kedzierawski (ISBI, 2018)

Artificial database expansion based on hand position variability for palm vein biometric system. - Maciej Stanuch; Andrzej Skalski (IST, 2018)

Artificial CT Data Generation Method with Known Ground-Truth for Image Registration with Missing Data. - Marek Wodzinski; Andrzej Skalski (IST, 2018)

Rigid Registration Method for Medical Volumes with Large Deformations and Missing Data. - Marek Wodzinski; Andrzej Skalski (IWSSIP, 2018)

Resection-Based Demons Regularization for Breast Tumor Bed Propagation. - Marek Wodzinski; Andrzej Skalski (RAMBO+BIA+TIA@MICCAI, 2018)

Deep Learning Approach to Parkinson's Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification. - Marek Wodzinski; Andrzej Skalski; Daria Hemmerling; Juan Rafael Orozco-Arroyave; Elmar Nöth (EMBC, 2019)

Convolutional Neural Network Approach to Classify Skin Lesions Using Reflectance Confocal Microscopy. - Marek Wodzinski; Andrzej Skalski; Alexander Witkowski; Giovanni Pellacani; Joanna Ludzik (EMBC, 2019)

Automatic Nonrigid Histological Image Registration with Adaptive Multistep Algorithm. - Marek Wodzinski; Andrzej Skalski (CoRR, 2019)

Automatic Quality Assessment of Reflectance Confocal Microscopy Mosaics using Attention-Based Deep Neural Network. - Marek Wodzinski; Miroslawa Pajak; Andrzej Skalski; Alexander Witkowski; Giovanni Pellacani; Joanna Ludzik (EMBC, 2020)

Contact-Free Multispectral Identity Verification System Using Palm Veins and Deep Neural Network. - Maciej Stanuch; Marek Wodzinski; Andrzej Skalski (Sensors, 2020)

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge. - Jirí Borovec; Jan Kybic; Ignacio Arganda-Carreras; Dmitry V. Sorokin; Gloria Bueno; Alexander V. Khvostikov; Spyridon Bakas; Eric I-Chao Chang; Stefan Heldmann; Kimmo Kartasalo; Leena Latonen; Johannes Lotz 002; et al. (IEEE Trans. Medical Imaging, 2020)

Left ventricular segmentation from cardiac MRI data. - Michal Motak; Andrzej Skalski (IST, 2021)

Adversarial Affine Registration for Real-Time Intraoperative Registration of 3-D US-US for Brain Shift Correction. - Marek Wodzinski; Andrzej Skalski (ASMUS@MICCAI, 2021)

Semi-Supervised Deep Learning-Based Image Registration Method with Volume Penalty for Real-Time Breast Tumor Bed Localization. - Marek Wodzinski; Izabela Ciepiela; Tomasz Kuszewski; Piotr Kedzierawski; Andrzej Skalski (Sensors, 2021)

Deep learning-based framework for automatic cranial defect reconstruction and implant modeling. - Marek Wodzinski; Mateusz Daniol; Miroslaw Socha; Daria Hemmerling; Maciej Stanuch; Andrzej Skalski (Comput. Methods Programs Biomed., 2022)

CNT/Graphite/SBS Conductive Fibers for Strain Sensing in Wearable Telerehabilitation Devices. - Piotr Walter; Bartlomiej Podsiadly; Marcin Zych; Michal Kaminski; Andrzej Skalski; Tomasz Raczynski; Daniel Janczak; Malgorzata Jakubowska (Sensors, 2022)

Metrological Analysis of HoloLens 2 for Visual Marker-Based Surgical Navigation. - Agnieszka Florkowska; Michal Trojak; Weronika Celniak; Maciej Stanuch; Mateusz Daniol; Andrzej Skalski (IST, 2023)

A Robust Deterministic-Based Automatic Vessel Centerline Extraction Algorithm in 3-D Binary Volumes. - Hassan Saeed; Andrzej Skalski (IST, 2023)

Preoperative planning for Coronary Artery Disease using 3D Segmentation and Mixed Reality. - Manahil Zulfiqar; Maciej Stanuch; Andrzej Skalski (IST, 2023)

DRU-Net: Pulmonary Artery Segmentation via Dense Residual U-Network with Hybrid Loss Function. - Manahil Zulfiqar; Maciej Stanuch; Marek Wodzinski; Andrzej Skalski (Sensors, 2023)

Profiling Peripheral Artery Structures Using CT Scan Data with Curve Planar Reformation and Gaussian Mixture Model in Polar Coordinates. - Manahil Zulfiqar; Maciej Stanuch; Andrzej Skalski (BIBM, 2024)

Vessel Geometry Estimation for Patients with Peripheral Artery Disease. - Hassan Saeed; Andrzej Skalski (Sensors, 2024)

Markerless Registration and Visualization of Volumetric Medical Data for Enhanced Surgical Precision Using Head-Mounted Displays. - Artur Jurgas; Michal Trojak; Maciej Stanuch; Andrzej Skalski (VR Workshops, 2025)

Mixed Reality 6D Object Pose Estimation using Deep Learning for Visual Markerless Surgical Navigation. - Michal Trojak; Artur Jurgas; Maciej Stanuch; Lukasz Kownacki; Andrzej Skalski (VR Workshops, 2025)

An attempt to evaluate the use of mixed reality in surgically treated pediatric oncology patients. - Krzysztof Bronowicki; Justyna Antoniuk-Majchrzak; Iwona Malesza; Wiktor Mozarowski; Agnieszka Szymborska; Bartosz Pachuta; Tomasz Walenta; Wojciech Jasica; Maciej Stanuch; Andrzej Skalski; Anna Raciborska (npj Digit. Medicine, 2025)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - Yudi Sang; Yanzhen Liu; Sutuke Yibulayimu; Yunning Wang; Benjamin D. Killeen; Mingxu Liu; Ping-Cheng Ku; Ole Johannsen; Karol Gotkowski; Maximilian Zenk; Klaus H. Maier-Hein; Fabian Isensee; et al. (CoRR, 2025)