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 |