BISA_P2: Biomedical Image Processing |
Session Type: Poster |
Time: Thursday, September 1, 14:00 - 15:40 |
Location: Poster Area 1 |
Session Chair: Francoise Peyrin, University of Lyon
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BISA_P2.1: SELF-SUPERVISED LEARNING AS A MEANS TO REDUCE THE NEED FOR LABELED DATA IN MEDICAL IMAGE ANALYSIS |
Marin Benčević, Marija Habijan, Irena Galić, J. J. Strossmayer University of Osijek, Croatia (Hrvatska); Aleksandra Pizurica, Ghent University, Belgium |
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BISA_P2.2: AUTOMATIC DETECTION OF THE RETINA IN OPTICAL COHERENCE TOMOGRAPHY USING DEEP Q LEARNING |
Alex Cazañas-Gordón, Luís Cruz, University of Coimbra, Portugal |
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BISA_P2.3: GLAND SEGMENTATION IN GASTRIC HISTOLOGY IMAGES: DETECTION OF INTESTINAL METAPLASIA |
Panagiotis Barmpoutis, William Waddingham, Christopher Ross, Kayhanian Hamzeh, Daniel Alexander, Marnix Jansen, UCL, United Kingdom |
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BISA_P2.4: A FEATURE-BASED APPROACH ON CONTACT-LESS BLOOD PRESSURE ESTIMATION FROM VIDEO DATA |
Carolin Wuerich, Eva-Maria Humm, Christian Wiede, Fraunhofer Institute for Microelectronic Circuits and Systems, Germany; Gregor Schiele, University of Duisburg-Essen, Germany |
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BISA_P2.5: CONVOLUTIVE ATTENTION FOR IMAGE REGISTRATION |
Tim J. Parbs, Alfred Mertins, University of Lübeck, Germany; Philipp Koch, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Germany |
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BISA_P2.6: UNCOVERING CORTICAL LAYERS WITH MULTI-EXPONENTIAL ANALYSIS: A REGION OF INTEREST STUDY |
Jakub Jamárik, Lubomír Vojtíšek, Daniel Schwarz, Masaryk University, Czech Republic |
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BISA_P2.7: TRANSDUCTIVE INVERSION VIA DEEP TRANSFORM LEARNING |
Jyoti Maggu, Shalini Sharma, Angshul Majumdar, Indraprastha Institute of Information Technology, India |
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BISA_P2.8: A GENERALIZATION ENHANCEMENT APPROACH FOR DEEP LEARNING SEGMENTATION MODELS: APPLICATION IN COVID-19 LESION SEGMENTATION FROM CHEST CT SLICES |
Nastaran Enshaei, Farnoosh Naderkhani, Concordia University, Canada; Moezedin Javad Rafiee, McGill University, Canada |
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BISA_P2.9: A CONSTRAINED SHANNON-FANO ENTROPY CODER FOR IMAGE STORAGE IN SYNTHETIC DNA |
Xavier Pic, Marc Antonini, I3S laboratory, Côte d’Azur University and CNRS, France |
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