Projecten per jaar
Organisatieprofiel
Introductie / missie
Developing methods and applications for medical imaging, to improve clinical care.
Highlighted phrase
Supporting clinicians with image analysis
Over de organisatie
Imaging is a crucial element of all stages of medical care: from screening, diagnosis, prognosis and treatment, to the monitoring of therapy. With the increasing size and complexity of images, automated image analysis is an indispensible support for clinicians. Moreover, it opens novel ways to improve care.
We contribute to this rapidly growing field by developing new concepts for medical image analysis as well as applications that support clinicians in their decision making, ultimately aiming for safer and better care.
Our group investigates image analysis on methodological topics as registration, quantification, crowdsourcing and machine learning. In close contact with industry and hospitals, we contribute to the field of image analysis for oncology, cardiology, neurology and histopathology as well as the field of high-field MRI acquisition and RF safety.
We provide courses on the topic of Medical Image Analysis in both the Bachelor's and the Master's curriculum (both BME and ME programs). In cooperation with the University Medical Center Utrecht we offer a joint master in Medical Imaging.
Vingerafdruk
Netwerk
Profielen
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Yasmina Al Khalil
- Biomedical Engineering, Medical Image Analysis - ex Promovendus
Persoon: Prom. : Promovendus
projecten
- 1 Actief
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Spectralligence AI211009
Breeuwer, M., van de Sande, D. M. J., Amirrajab, S. & Veta, M.
1/11/21 → 31/10/24
Project: Onderzoek direct
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A Framework for Simulating Cardiac MR Images with Varying Anatomy and Contrast
Amirrajab, S., Al Khalil, Y., Lorenz, C., Weese, J., Pluim, J. & Breeuwer, M., mrt. 2023, In: IEEE Transactions on Medical Imaging. 42, 3, blz. 726-738 13 blz., 9924194.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand13 Downloads (Pure) -
AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance
Scannell, C., Alskaf, E., Sharrack, N., Rezavi, R., Ourselin, S., Young, A., Plein, S. & Chiribiri, A., 1 jan. 2023, In: European Heart Journal - Digital Health. 4, 1, blz. 12-21 10 blz., ztac074.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand19 Downloads (Pure) -
Anatomical evaluation of deep-learning synthetic computed tomography images generated from male pelvis cone-beam computed tomography
de Hond, Y. J. M., Kerckhaert, C. E. M., van Eijnatten, M. A. J. M., van Haaren, P. M. A., Hurkmans, C. W. & Tijssen, R. H. N., jan. 2023, In: Physics and Imaging in Radiation Oncology. 25, 7 blz., 100416.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand6 Downloads (Pure)
Prijzen
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Achievement for having a profile with more information
Harrevelt, Seb (Ontvanger), 1 feb. 2019
Prijs: Anders › Overig › Populair
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KNAW Van Leersum scholarship
van Eijnatten, Maureen (Ontvanger), 2018
Prijs: KNAW › Anders › Wetenschappelijk
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Activiteiten
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Code Sprint “Benchmarking Deep Learning based CT Image Reconstruction Methods”
Maureen van Eijnatten (Organisator)
15 jun. 2020 → 24 jun. 2020Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
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Lorentz workshop: Enabling Data-Driven Methods for Inverse Problems in 3D Imaging
Maureen van Eijnatten (Organisator)
21 nov. 2019 → 25 nov. 2019Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
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Code Sprint “Deep Learning for High Resolution 3D Tomographic Reconstruction”
Maureen van Eijnatten (Organisator)
3 jun. 2019 → 7 jun. 2019Activiteit: Types deelname aan of organisatie van een evenement › Workshop, seminar, cursus of expositie › Wetenschappelijk
Knipsels
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Researchers' Work from Eindhoven University of Technology Focuses on Health and Medicine (Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques)
Richard G.P. Lopata, Josien P.W. Pluim, Hans-Martin Schwab, Laslo van Anrooij & Navchetan Awasthi
20/01/23
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Determining MRI scanning restrictions for patients with medical implants
Josien P.W. Pluim & Alexander J.E. Raaijmakers
1/07/22
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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-Eindhoven University of Technology : AI analysis for a healthy eye
Josien P.W. Pluim, Mitko Veta & Friso G. Heslinga
22/06/22
2 items van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Impacts
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Brain Image Analysis
Josien P.W. Pluim (Content manager), Sylvia van Beek-Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager) & Erica Jansen (Content manager)
Impact: Research Topic/Theme (at group level)
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Cardiovascular Image Analysis
Josien P.W. Pluim (Content manager), Sylvia van Beek-Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager) & Erica Jansen (Content manager)
Impact: Research Topic/Theme (at group level)
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Deep Learning for Image-Guided Therapies
Josien P.W. Pluim (Content manager), Sylvia van Beek-Verschure (Content manager), Lieke van Gorp (Content manager), Amy Broeders (Content manager) & Erica Jansen (Content manager)
Impact: Research Topic/Theme (at group level)
Scripties/Masterproeven
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3D Camera Monitoring of Rodent Irradiation Geometry for High Precision Shielding
Auteur: Slegt, V. J., 29 sep. 2022Begeleider: Raaijmakers, A. J. E. (Afstudeerdocent 1), Pluim, J. P. W. (Afstudeerdocent 2), Schwab, H. (Afstudeerdocent 2), Staut, N. (Externe persoon) (Externe coach) & Verhaegen, F. J. W. (Externe persoon) (Externe coach)
Scriptie/Masterproef: Master
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3D medical image segmentation with labeled and unlabeled data using autoencoders
Auteur: Sital, C. K., 28 nov. 2019Begeleider: Raaijmakers, A. (Afstudeerdocent 1), Weese, J. (Externe persoon) (Externe coach) & Brosch, T. (Externe persoon) (Externe coach)
Scriptie/Masterproef: Master
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A computational biology framework: a data analysis tool to support biomedical engineers in their research
Auteur: Beishuizen, T. P. A., 29 nov. 2018Begeleider: Bosnacki, D. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Hilbers, P. A. J. (Afstudeerdocent 2), Fletcher, G. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2)
Scriptie/Masterproef: Master