Artificial intelligence
- Denoising with reversible deep neural networks. Contact: Rik Vullings, Ruud van Sloun (r.vullings@tue.nl, r.j.g.v.sloun@tue.nl)
- Deep neural networks for predicting pregnancy outcome (e.g. live/still birth) from electronic medical record (EMR) data. Contact: Xi Long (x.long@tue.nl)
- Deep (reinforcement) learning for subsampling and task-driven image formation in ultrasound and MRI applications. Joint project with industrial partner. Contact: Ruud van Sloun (r.j.g.v.sloun@tue.nl)
Ultrasound imaging
- Uterine motion analysis for prediction of successful in-vitro fertilization. Joint project with industrial partner. Contact: Massimo Mischi (m.mischi@tue.nl)
- Quantitative molecular imaging of cancer angiogenesis by targeted micro- and nano-bubbles. Contact: Simona Turco (s.turco@tue.nl)
- Quantitative ultrasound for tissue characterization in cardiovascular and oncological applications. Joint project with industrial partner. Contact: Massimo Mischi (m.mischi@tue.nl)
MRI
- Multiparametric MRI for cancer localization and characterization. Contact: Simona Turco (s.turco@tue.nl)
- Cine MRI analysis of cardiac strains for the assessment of ablation procedures in patients suffering from atrial fibrillation. Contact: Massimo Mischi (m.mischi@tue.nl)
- Uterine tissue characterization by MRI for the diagnosis of adenomyosis and other uterine pathologies. Contact: Massimo Mischi (m.mischi@tue.nl)
Neuroengineering
- Neuroimaging for applications in psychoradiology, neurodynamics, machine learning (radiomics) for disease outcome prediction. Contact: Sveta Zinger (s.zinger@tue.nl)
Electrophysiology
- Electroencephalography-based sleep monitoring. Contact: Lieke Hermans (l.w.a.hermans@tue.nl)
- Electrohysterography for prediction of preterm birth. Contact: Massimo Mischi, Rik Vullings (m.mischi@tue.nl, r.vullings@tue.nl)
- EMG-based monitoring of the respiratory effort in patients with sleep apnea. Contact: Elisabetta Peri (e.peri@tue.nl)
- Multimodal assessment of muscle fatigue. Contact: Elisabetta Peri, Simona Turco (e.peri@tue.nl, s.turco@tue.nl)
- AI-based muscle force estimation from high-density surface EMG. Contact; Elisabetta Peri, Ruud van Sloun (e.peri@tue.nl, r.j.g.v.sloun@tue.nl)
- Evaluating the effects of spatio-temporal distribution of atrial fibrillation ablations by registration of electrical maps. Contact: Massimo Mischi (m.mischi@tue.nl)
- EEG-based epileptic seizure detection and classification with deep neural networks. Contact: Xi Long (x.long@tue.nl)
Photoplethysmography
- Reliable heartrate monitoring with wearable sensors. Joint project with industrial partner. Contact: Rik Vullings (r.vullings@tue.nl)
Remote monitoring
- Vital sign extraction and analysis for AI based event detection and prediction. Contact: Sveta Zinger (s.zinger@tue.nl)
- Sepsis monitoring through sweat biomarkers. Joint project with industrial partner. Contact: Elisabetta Peri (e.peri@tue.nl)
- Sternal notch pressure sensor to estimate respiratory effort in patients with sleep disorders. Contact: Elisabetta Peri (e.peri@tue.nl)
- Remote/contactless monitoring of neonatal and pediatric sleep. Contact: Xi Long (x.long@tue.nl).
Electromagnetics
- Developing doppler-radar for monitoring babies’ heartrate during labour. Joint project with EM group. Contact: Rik Vullings (r.vullings@tue.nl)
The BM/d Lab has a large network of national and international collaborations with academic and industrial partners. Therefore, external internships and graduation projects are an additional option provided by BM/d, supported by a number of Erasmus exchange programs that are in place with several universities abroad. For more information on these possibilities, please contact Prof. M. Mischi (m.mischi@tue.nl).