BISA-P5: Biomedical Signal and Image Analytics: Selected Applications
Fri, 12 Sep, 10:20 - 12:00 Italy Time (UTC +2)
Location: Poster Area D
Session Type: Poster
Session Chair: Miguel Vega, University of Granada
Track: BISA - Biomedical Image & Signal Analytics

BISA-P5.1: ON STATISTICAL METHODS BEYOND CORRELATION IN COHERENCE ANALYSIS BASED ON ULTRASOUND

Mahshid Dodel, Raphaël Dumas, Adrian Basarab, François Varray, Université Claude Bernard Lyon 1, France

BISA-P5.2: Deep Bayesian Blind Color Deconvolution using a Gaussian Scale Mixture Prior

Francisco M Castro-Macías, Miguel Vega, Fernando Pérez-Bueno, Rafael Molina, University of Granada, Spain; Aggelos Katsaggelos, Northwestern University, Spain

BISA-P5.3: Circulant determinant-based Permutation Entropy for sEMG signal processing

Meryem Jabloun, Orleans University, France; Ales Holobar, Nina Murks, Matej Kramberger, Maribor University, Slovenia; Philippe Ravier, Olivier Buttelli, Orleans University, France

BISA-P5.4: Lightweight Patient-Invariant Model for Freezing of Gait Detection with Cohort Clustering

Nasimuddin Ahmed, Aniruddha Sinha, Avik Ghose, TCS Research & Innovation, India

BISA-P5.5: Enhancing Near-Infrared Spectroscopy Analysis Using Ordinal Pattern Methods

Quentin Legros, PRISME laboratory, France; Brieuc Léger, Pascal Auzou, Canan Ozsancak, Julien Bonnal, CHU-Orléans, France; Meryem Jabloun, PRISME laboratory, France

BISA-P5.6: ASSESSING THE TRADE-OFF BETWEEN MODEL BEHAVIOR AND PERFORMANCE METRICS IN WOUND IMAGE SEGMENTATION

Arthur Louvart, Baptiste Guivarch, LabSTICC, France; Viet-Dung Nguyen, Wit Haertle, Kahina Bensafia-Cherfa, UVASC LAB, France; Clément Hoffmann, Percy Military Teaching Hospital, France; Adel Al-Jumaily, Melbourne Institute of Technology, Australia; Ali Mansour, LabSTICC, France

BISA-P5.7: ENHANCING DETECTION OF ACCELERATION-RELATED ERPS IN VR USING SPATIAL FILTERING TECHNIQUES

GAEL VAN DER LEE, FRANCOIS CABESTAING, HAKIM SI-MOHAMMED, University of Lille, France

BISA-P5.8: A METHOD FOR EXTRACTING SHOE-DEPENDENT FEATURES FROM VERTICAL GRF (GROUND REACTION FORCE) SIGNALS OF HUMAN GAIT

Marek Parfieniuk, University of Bialystok, Poland; Marcin Derlatka, Bialystok University of Technology, Poland