| 09:00-09:50 | General Lecture II
Chair: Arkadiusz Or³owski | | 09:50-10:00 | Coffee break | | 10:00-11:20 | Session III. Biomedical applications
Chair: Joanna Jaworek-Korjakowska
 1 Software for CT-image analysis to assist the choice of mechanical-ventilation settings in acute respiratory distress syndrome
Eduardo E. Dįvila Serrano CNRS, Franēois Dhelft Univ. Lyon 1 - Hospices Civils de Lyon, Laurent Bitker Univ. Lyon 1 - Hospices Civils de Lyon, Jean-Christophe Richard Univ. Lyon 1 - Hospices Civils de Lyon, Maciej Orkisz Univ. Lyon 1, CREATIS, France | 
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2 Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach
Mustapha Oloko-Oba, Serestina Viriri |
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3 On the Effect of DCE MRI Slice Thickness and Noise on Estimated Pharmacokinetic Biomarkers - A Simulation Study
Jakub Jurek, Lars A. Reisæter, Marek Kociński, Andrzej Materka DCE imaging, quantitative DCE analysis, semi-quantitative DCE analysis, biomarkers Simulation of a dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) multiple sclerosis brain dataset is described. The simulated images in the implemented version have 1×1×1mm3 voxel resolution and arbitrary temporal resolution. Addition of noise and simulation of thick-slice imaging is also possible. Contrast agent (Gd-DTPA) passage through tissues is modelled using the extended Tofts-Kety model. Image intensities are calculated using signal equations of the spoiled gradient echo sequence that is typically used for DCE imaging. We then use the simulated DCE images to study the impact of slice thickness and noise on the estimation of both semi- and fully-quantitative pharmacokinetic features. We show that high spatial resolution images allow significantly more accurate modelling than interpolated low resolution DCE images. |
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4 Nuclei detection with local threshold processing in DAB&H stained breast cancer biopsy images
Lukasz Roszkowiak (IBIB PAN), Jakub Zak (IBIB PAN), Krzysztof Siemion (IBIB PAN), Dorota Pijanowska (IBIB PAN), Anna Korzynska (IBIB PAN) |
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| | 10:20-13:00 | Lunch break | | 13:00-14:20 | Session IV. 3D vision
Chair: Andrzej ¦luzek
1 Performance Evaluation of Selected 3D Keypoint Detector-Descriptor Combinations
Paula Stancelova, Elena Sikudova, Zuzana Cernekova |
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2 A vision based hardware-software real-time control system for the autonomous landing of an UAV
Krzysztof Blachut, Hubert Szolc, Mateusz Wasala, Tomasz Kryjak, Marek Gorgon, AGH University of Science and Technology, Krakow, Poland |
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3 RGB-D and Lidar Calibration Supported by GPU
Artur Wilkowski, Warsaw University of Technology and Dariusz Mańkowski, United Robots |
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4 Optimisation of a Siamese Neural Network for Real-Time Energy Efficient Object Tracking
Dominika Przewlocka, Mateusz Wasala, Hubert Szolc, Krzysztof Blachut, Tomasz Kryjak - AGH University of Science and Technology, Krakow, Poland |
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