Tu.1.2.3
Quantification of uterine contractions using cine MRI and non-invasive electrohysterogram
Amy Garrett, Alys Clark, Leo Cheng, Claire Miller, University of Auckland
Session:
Tu.1.2: Fetal and Neonatal Signal Analysis Oral
Track:
Biomedical Signal Processing
Location:
Room 716A
Presentation Time:
Tuesday, 28 July, 09:00 - 09:15
Session Co-Chairs:
Camilo Valderrama and Muthukumar Krishnan Arumugasamy
Presentation
Discussion
Resources
No resources available.
Session Tu.1.2
Tu.1.2.1: A Dynamic Parametric Simulator for Fetal Heart Sounds
Yingtong Zhou, Yiang Zhou, Zhengxian Qu, Kang Liu, Ting Tan, Aerie Intelligent Technology Corp, USA
Tu.1.2.2: PREDICTING BRONCHOPULMONARY DYSPLASIA IN PRETERM INFANTS USING A NOVEL PHYSIOLOGICAL METRIC
Daniel Radeschi, McGill University; Ana Saavedra Ruiz, Marc Beltempo, Guilherme Sant'Anna, Wissam Shalish, McGill University Health Centre; Robert E. Kearney, McGill University
Tu.1.2.3: Quantification of uterine contractions using cine MRI and non-invasive electrohysterogram
Amy Garrett, Alys Clark, Leo Cheng, Claire Miller, University of Auckland
Tu.1.2.4: PROBABILISTIC FETAL HEART RATE PREDICTION WITH TRANSFER ENTROPY BOTTLENECK VAE
Mahdi Shamsi, PeriGen Inc.; Michael Kuzniewicz, Kaiser Permanente Northern California; Cornet Marie-Coralie, Yvonne Wu, University of California; John Parker, PeriGen Inc.; Lawrence Gerstley, Kaiser Permanente Northern California; Robert Kearney, McGill University; Philip Warrick, PeriGen Inc., McGill University
Tu.1.2.5: A LEAKAGE-PROOF BENCHMARK AND CONFORMAL SELECTIVE TRIAGE FOR ELECTROHYSTEROGRAM-BASED PRETERM BIRTH PREDICTION
Sunday Adetunji, Oregon State University
Tu.1.2.6: Cross-Modal Generative Framework for Signal Translation from Fetal–Maternal Electrocardiograms to Fetal Doppler Waveforms
Tongli Su, Alireza Rafiei, Marly van Assen, Reza Sameni, Gari D. Clifford, Emory University; Faezeh Marzbanrad, Monash University; Nasim Katebi, Emory University
Resources
No resources available.