Tue PM1.P.2
EEG SOURCE IMAGING BY SUPERVISED LEARNING
Sarah Reynaud, Adrien Merlini, IMT Atlantique, France; Douraied Ben Salem, CHU Brest, France; François Rousseau, IMT Atlantique, France
Session:
Tue PM1.P: Biomedical Signal and Image Processing I Poster
Track:
BISA - Biomedical Image & Signal Analytics
Location:
Fennia Foyer
Presentation Time:
Tue, 5 Sep, 14:30 - 16:10 Finland Time (UTC +3)
Session Chair:
Nilesh Madhu, Ghent University - imec
Presentation
Discussion
Resources
No resources available.
Session Tue PM1.P
Tue PM1.P.1: DEEP EMBEDDED CLUSTERING REGULARIZATION FOR SUPERVISED IMBALANCED CEREBRAL EMBOLI CLASSIFICATION USING TRANSCRANIAL DOPPLER ULTRASOUND
Yamil Vindas, Emmanuel Roux, Biomedical Imaging Research Lab - CREATIS, France; Blaise Kévin Guépié, Université de Technologie de Troyes, France; Marilys Almar, Atys Medical, France; Philippe Delachartre, Biomedical Imaging Research Lab - CREATIS, France
Tue PM1.P.2: EEG SOURCE IMAGING BY SUPERVISED LEARNING
Sarah Reynaud, Adrien Merlini, IMT Atlantique, France; Douraied Ben Salem, CHU Brest, France; François Rousseau, IMT Atlantique, France
Tue PM1.P.3: Efficient and Accurate Neural Fingerprints Obtained via Mean Curve Length of High Dimensional Model Representation of EEG Signals
Evrim Korkmaz Özay, Beykent University, Turkey; Tolga Esat Özkurt, Middle East Technical University, Turkey
Tue PM1.P.4: Reconstruction of Body Surface Potential From 12-Lead ECG: A Conditional GAN Based Approach
Rohan Banerjee, Oishee Mazumder, Ayan Mukherjee, Tata Consultancy Services, India; Soumitra Sinhahajari, Jadavpur University, India; Aniruddha Sinha, Tata Consultancy Services, India
Tue PM1.P.5: CONVOLUTIONAL NEURAL NETWORKS USING SCALOGRAMS FOR STRESS RECOGNITION IN DRIVERS
Pamela Zontone, Antonio Affanni, Alessandro Piras, Roberto Rinaldo, University of Udine, Italy
Tue PM1.P.6: PERFORMANCE OF USING MEL-FREQUENCY CEPSTRUM BASED FEATURES IN NONLINEAR CLASSIFIERS FOR PHONOCARDIOGRAPHY RECORDINGS
Ibrahim Ozkan, Atila Yilmaz, Hacettepe University, Turkey
Tue PM1.P.7: Combinations of EEG Topographic Feature Maps for the Classification of ADHD
Sude Pehlivan, Onur Akdemir, Izmir University of Economics, Turkey; Ozlem Karabiber Cura, Izmir Katip Çelebi University, Turkey; Burak Akbuğday, Aydın Akan, Izmir University of Economics, Turkey
Tue PM1.P.8: New MCI detection method based on Transformer and EEG Data
Siwar Chaabene, Brahim Haroun Hassan, Amal Boudaya, MIRACL Laboratory, Tunisia; Lotfi Chaari, University of Toulouse IRIT, France; Bassem Bouaziz, MIRACL Laboratory, Tunisia
Tue PM1.P.9: DETECTING TRANSLOCATION OF DNA NANOSTRUCTURES THROUGH NANOPORES: FIRST STEPS TOWARDS STRUCTURAL BARCODE READOUT
Pratima Upretee, Ghent University - imec, Belgium; Sybren Santermans, Koen Martens, Juliette Gevers, Sanjin Marion, Wouter Van Den Bosch, imec, Belgium; Jan Fostier, Nilesh Madhu, Ghent University - imec, Belgium
Tue PM1.P.10: A Novel Approach for Transfer Learning Motor Imagery Classification Based on IVA
Caroline Pires Alavez Moraes, Federal University of ABC (UFABC), Brazil; Denis Gustavo Fantinato, State University of Campinas (UNICAMP), Brazil; Aline de Oliveira Neves Panazio, Federal University of ABC (UFABC), Brazil