Technical Program

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
 
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
 
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
 
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
 
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
 
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
 
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
 
BISA_P2.7: TRANSDUCTIVE INVERSION VIA DEEP TRANSFORM LEARNING
Jyoti Maggu, Shalini Sharma, Angshul Majumdar, Indraprastha Institute of Information Technology, India
 
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
 
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