Posters
Group 1 : odd numbers
Poster presentation from 16h30 to 18h00
Group 2 : even numbers
Poster presentation from 15h00 to 16h30
| Nb. | Name | Title |
|---|---|---|
| P1 | M. Lippeveld | Classification of human white blood cells using machine learning for stain-free imaging flow cytometry |
| P2 | F.N. Haredasht | Predicting survival outcomes in the presence of unlabeled data |
| P3 | C. Puri | Pregnancy weight gain estimation with federated learning |
| P4 | B. Filtjens | A convolutional neural network for detecting gait events in patients with Parkinson's disease |
| P5 | E. De Keersmaecker | Effect of manipulating optic flow speed by means of immersive virtual reality on active participation during robot-assisted treadmill walking in healthy adults |
| P6 | M. Rahimi-Gorji | A numerical simulation of pressurized intraperitoneal aerosol chemotherapy (PIPAC) : validation part |
| P7 | D. Zhai | Data-driven investigation of physiological signal and subjective reports from ambulatory smoking events |
| P8 | D. Hendrikx | Neurocardiovascular graphs : creating understanding about neonatal physiology in the perioperative period |
| P9 | N. Seeuws | Unsupervised deep feature extraction for neonatal sleep stage classification |
| P10 | J. Moeyersons | Cardiorespiratory coupling and gas exchange during exercise, bridging the gap |
| P11 | J. Dan | Low-complexity algorithm for absence seizure detection in wearable electroencephalography |
| P12 | A. Villa | Multi-way kernel spectral feature selector |
| P13 | A. Erol | Characterization of the functional ultrasound signal |
| P14 | J. Simm | Dealing with sporadic observations for critical care patient trajectories |
| P15 | E. Fotiadou | Deep convolutional encoder-decoder framework for fetal ECG signal denoising |
| P16 | G. Vandewiele | Detecting contractions in electrohysterogram recordings using gradient boosting |
| P17 | H. Moghaddasi | Tensor-based detection of atrial fibrillation in ECG signals |
| P18 | J. Yperman | Deciphering the morphology of motor evoked potentials |
| P19 | L. Bogatu | Insights into oscillometry : An experimental approach for improvement of cuff-based blood pressure measurement technology |
| P20 | L. Eerikäinen | Atrial fibrillation and atrial flutter detection from wrist-worn photoplethysmography data |
| P21 | L. van Knippenberg | Angle-independent cross-sectional Doppler method for free-hand flow estimation in the CCA |
| P22 | M. Lavanga | Perinatal stress quantification in preterm infants |
| P23 | T. Becker | Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis |
| P24 | T. De Cooman | Personalized multimodal detection of focal seizures using behind-the-ear EEG and heart rate |
| P25 | T. Van Steenkiste | Branched fusion model with backward shortcut connections for sleep apnea classification |
| P26 | Y. Zhang | Bathroom activity classification using accelerometer data |
| P27 | E. Peri | Singular value decomposition for ECG removal from trunk electromyographic recording |
| P28 | A.Y.A. Amer | Towards a clinical insight into ICU mortality using machine learning |
| P29 | M. De Brouwer | Supporting ambient-intelligent healthcare interventions through cascading reasoning |
| P30 | D. Vander Mijnsbrugge | Data-driven prediction of piperacillin/tazobactam concentrations for ICU patients in a continuous infusion therapy |
| P31 | T. Bakkes | Prediction of post-operative patient deterioration using machine learning |
| P32 | P. Van Gorp | Evaluation of personalized persuasive messaging for helath behavior change |
| P33 | A. Maes | A deep learning approach on multivariate medical time series for the detection of sepsis |
| P34 | S.P. Oei | Towards early sepsis detection from basic physiological measurements at the ward through machine learning |
| P35 | A. Panfilova | Evaluation of the generalized finite amplitude insert substitution method for estimation of the ultrasound parameter of nonlinearity |
| P36 | B. Luijten | Adaptive ultrasound beamforming through model-aware intelligent agents |
| P37 | A. Panfilova | Acoustic characterization of antibubbles for contrast-enhanced ultrasound imaging |
| P38 | I. Huijben | Deep probabilistic sampling and signal recovery for sub –Nyquist Doppler ultrasound |
| P39 | P. Astudillo | Echocardiographic analysis with deep learning : from cardiac cycle classification to cardiac output regression |
| P40 | P. Chen | Joint estimation of LV flow & pressure patterns by contrast ultrasound at low frame rates |
| P41 | S.A. Sanchez | Evaluation of different resolution decomposition techniques and neural networks in virtual dual energy imaging |
| P42 | Y. Huang | Prediction of embryo implantation by machine learning based on ultrasound analysis of uterine motion |
| P43 | M. van Helvoort | Industrial-grade verification and validation of evolving systems in healthcare |
| P44 | A. van Diepen | Towards modelling of patient-ventilator interaction using model based methods |
| P45 | M. Barzegari | Computational modeling of biodegradation of metallic biomaterials |
| P46 | S. Bekisz | Computational and mathematical lymphangiogenesis : Development of an intracellular network model in lymphatic endothelial cells |
| P47 | T. Vaulet | Modelling kidney transplant biopsies with a mixture of independent poisson distributions |
| P48 | N. Simões-Capela | Body mass index evolution during treatment for eating disorders : preliminary results |
| P49 | M. Firouzi | Immediate effects of the honda walking assist on spatiotemporal gait characteristics in individuals after stroke |