Wed PM2.L3: Artificial Intelligence in Biomedical Applications II
Wed, 6 Sep, 16:10 - 17:50 Finland Time (UTC +3)
Location: Nordia
Session Type: Lecture
Session Chair: Gabrielle Flood, Lund University
Track: BISA - Biomedical Image & Signal Analytics
Wed, 6 Sep, 16:10 - 16:30 Finland Time (UTC +3)

Wed PM2.L3.1: LSTMs for EEG-based Auditory Attention Decoding
René Pallenberg, Ann-Katrin Griedelbach, Alfred Mertins, University of Lübeck, Germany
Wed, 6 Sep, 16:30 - 16:50 Finland Time (UTC +3)

Wed PM2.L3.2: END-TO-END TRAINABLE GAUSSIAN FILTERING FOR ELECTROCARDIOGRAM SIGNAL CLASSIFICATION USING DEEP LEARNING
Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas, Aristotle University of Thessaloniki, Thessaloniki, Greece
Wed, 6 Sep, 16:50 - 17:10 Finland Time (UTC +3)

Wed PM2.L3.3: Classification of ADHD by Using Multiple Feature Maps of EEG Signals and Deep Feature Extraction
Ozlem Karabiber Cura, Sibel Kocaaslan Atli, Izmir Katip Celebi University, Turkey; Sena Yagmur Sen, Aydin Akan, Izmir University of Economics, Turkey
Wed, 6 Sep, 17:10 - 17:30 Finland Time (UTC +3)

Wed PM2.L3.4: TOWARDS THE ON-DEMAND WHOLE SLIDE IMAGE GENERATION: PROSTATE PATCH SYNTHESIS THROUGH A CONDITIONAL PROGRESSIVE GROWING GAN
Alejandro Golfe, Rocío del Amor, Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-tech, Spain; Adrián Colomer, Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-tech and ValgrAI – Valencian Graduate School and Research Network for Artificial Intelligence, Spain; María Ángeles Sales, Liria Terradez, Anatomical Pathology Service, University Clinical Hospital of Valencia, Valencia, Spain, Spain; Valery Naranjo, Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-tech, Spain
Wed, 6 Sep, 17:30 - 17:50 Finland Time (UTC +3)

Wed PM2.L3.5: AUGMENTATION STRATEGIES FOR SELF-SUPERVISED REPRESENTATION LEARNING FROM ELECTROCARDIOGRAMS
Matilda Andersson, Mattias Nilsson, Neko Health, Sweden; Gabrielle Flood, Kalle Åström, Lund University, Sweden