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 - Promovendus
Persoon: Prom. : Promovendus
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Sina Amirrajab
- Biomedical Engineering, Medical Image Analysis - Promovendus
Persoon: Prom. : Promovendus
projecten
- 1 Actief
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Spectralligence AI211009
Breeuwer, M. & van de Sande, D. M. J.
1/11/21 → 31/10/24
Project: Onderzoek direct
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Advanced Optical Imaging-Guided Nanotheranostics towards Personalized Cancer Drug Delivery
Murar, M., Albertazzi, L. & Pujals, S., 26 jan. 2022, In: Nanomaterials. 12, 3, 17 blz., 399.Onderzoeksoutput: Bijdrage aan tijdschrift › Artikel recenseren › Academic › peer review
Open AccessBestand8 Downloads (Pure) -
Androgen receptor reprogramming demarcates prognostic, context-dependent gene sets in primary and metastatic prostate cancer
Severson, T., Qiu, X., Alshalalfa, M., Sjöström, M., Quigley, D., Bergman, A., Long, H., Feng, F., Freedman, M. L., Zwart, W. & Pomerantz, M. M., 4 mei 2022, In: Clinical Epigenetics. 14, 1, 6 blz., 60.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand -
Biomaterial-driven kidney organoid maturation
van Sprang, J. F., de Jong, S. M. J. & Dankers, P. Y. W., mrt. 2022, In: Current Opinion in Biomedical Engineering. 21, 10 blz., 100355.Onderzoeksoutput: Bijdrage aan tijdschrift › Artikel recenseren › Academic › peer review
Open AccessBestand22 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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Biggest European database of pathology images accelerates development of AI in medicine
15/02/21
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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[대한병리학회] 의료 인공지능 101: 병리를 중심으로
6/11/20
1 item 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 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
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A Functionalized Anatomical Model for Transcutaneous Electrical Stimulation of the Spinal Cord to Improve Upper Extremity Motor Function
Auteur: de Graaf, M. A. F. A., 13 sep. 2021Begeleider: Raaijmakers, A. J. E. (Afstudeerdocent 1), Pluim, J. P. W. (Afstudeerdocent 2), Lopata, R. G. P. (Afstudeerdocent 2) & Paoles, E. (Externe coach)
Scriptie/Masterproef: Master