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, FranceAcute respiratory distress syndrome, Hyperinflation, Lung segmentation, Computed tomography, Thoracic images Acute respiratory distress syndrome (ARDS) is a critical impairment of the lung function, which occurs - among others - in severe cases of patients with Covid-19. Its therapeutic management is based on mechanical ventilation, but this may aggravate the patient''''''''s condition if the settings are not adapted to the actual lung state. Computed tomography images allow for assessing the lung ventilation with fine spatial resolution, but their quantitative analysis is hampered by the contrast loss due to the disease. This article describes software developed to assist the clinicians in this analysis by implementing semi-automatic algorithms as well as interactive tools. The focus is the assessment of the cyclic hyperinflation, which may lead to ventilator-induced lung injury. For this purpose aerated parts of the lungs were segmented in twenty ARDS patients, half with Covid-19. The results were in very good agreement with manual segmentation performed by experts: 5.3% (5.1ml) mean difference in measured cyclic hyperinflation. |  hide paper details | 
2 Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach Mustapha Oloko-Oba, Serestina Viriri |  show paper details | 
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 |  show paper details | 
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) |  show paper details |
| 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 |  show paper details | 
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 |  show paper details | 
3 RGB-D and Lidar Calibration Supported by GPU Artur Wilkowski, Warsaw University of Technology and Dariusz Mańkowski, United Robots |  show paper details | 
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 |  show paper details |
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