Researcher
Amir Hossein Ansari
- Disciplines:Applied mathematics in specific fields, Computer architecture and networks, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Control systems, robotics and automation, Modelling, Design theories and methods, Mechatronics and robotics, Biological system engineering, Computer theory, Signal processing
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → Today - Woman and Child (Division)
Member
From1 Oct 2019 → 6 Nov 2019 - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From3 Jan 2013 → 31 Jul 2020
Projects
1 - 2 of 2
- An Advanced Neonatal Brain Monitoring Framework using Deep LearningFrom1 Oct 2019 → 31 Oct 2021Funding: FWO fellowships
- Development of a Neonatal EEG Monitor for Automated Brain AnalysisFrom7 Oct 2013 → 8 Jun 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 18
- A Deep Shared Multi-Scale Inception Network Enables Accurate Neonatal Quiet Sleep Detection With Limited EEG Channels(2022)
Authors: Amir Hossein Ansari, Anneleen Dereymaeker, Katrien Jansen, Sabine Van Huffel, Gunnar Naulaers, Maarten De Vos
Pages: 1023 - 1033 - EEG-based detection of the locus of auditory attention with convolutional neural networks(2021)
Authors: Servaas Vandecappelle, Neetha Das, Amir Hossein Ansari, Alexander Bertrand, Tom Francart
- A convolutional neural network outperforming state-of-the-art sleep staging algorithms for both preterm and term infants(2020)
Authors: Amir Hossein Ansari, Ofelie De Wel, Anneleen Dereymaeker, Katrien Jansen, Sabine Van Huffel, Gunnar Naulaers, Maarten De Vos
- Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study(2019)
Authors: Anneleen Dereymaeker, Vladimir Matic, Jan Vervisch, Perumpillichira J Cherian, Amir Hossein Ansari, Ofelie De Wel, Paul Govaert, Maarten De Vos, Sabine Van Huffel, Gunnar Naulaers, et al.
Pages: 50 - 58 - Automated EEG background analysis to identify neonates with hypoxic-ischemic encephalopathy treated with hypothermia at risk for adverse outcome: A pilot study(2019)
Authors: Anneleen Dereymaeker, Amir Hossein Ansari, Ofelie De Wel, Maarten De Vos, Sabine Van Huffel, Gunnar Naulaers, Katrien Jansen
Pages: 50 - 58 - Quiet sleep detection in preterm infants using deep convolutional neural networks(2018)
Authors: Amir Hossein Ansari, Ofelie De Wel, Mario Lavanga, Alexander Caicedo Dorado, Anneleen Dereymaeker, Katrien Jansen, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
- Weighted performance metrics for automatic neonatal seizure detection using multi-scored EEG data(2018)
Authors: Amir Hossein Ansari, Katrien Jansen, Gunnar Naulaers, Sabine Van Huffel
Pages: 1114 - 1123 - Development of a Neonatal EEG Monitor for Automated Brain Analysis(2018)
Authors: Amir Hossein Ansari, Sabine Van Huffel, Gunnar Naulaers
- Neonatal Seizure Detection Using Deep Convolutional Neural Networks(2018)
Authors: Amir Hossein Ansari, Gunnar Naulaers, Maarten De Vos, Sabine Van Huffel
Pages: 1850011-1 - 1850011-20 - Improved Neonatal Seizure Detection Using Adaptive Learning(2017)
Authors: Amir Hossein Ansari, Maarten De Vos, Gunnar Naulaers, Sabine Van Huffel
Pages: 2810 - 2813