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Diagnostic Oncology: Regina Beets-Tan

Regina Beets Tan

Prof. dr. Regina Beets-TanChairwoman of the department of radiology at The Netherlands Cancer Institute, Amsterdam and Professor of Radiology at the University Maastricht, The Netherlands.

About Regina Beets-Tan

This page is under construction.

More information will follow soon.

Co-workers

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Jorrita Tuurenhout

Personal Assistant

Experience

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Johannes Castelijns

Johannes Castelijns

Prof. Radiology and nuclear medicine

Experience

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Tarik Baetens

Tarik Baetens

Intervention Radiologist

Experience

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Fernando Gomez Munoz

Fernando Gomez Munoz

Intervention Radiologist

Experience

 

Head Interventional radiology at NKI-AvL.

PhD on lung cancer ablation.

Subspeciality on interventional oncology and pediatric interventional oncology.

Field of research on advanced image guided therapies.

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Lisa Klompenhouwer

Intervention Radiologist

Experience

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Annemarieke Bartels Rutten

Annemarieke Bartels-Rutten

Radiologist

Experience

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Thierry Boellaard

Thierry Boellaard

Radiologist

Experience

Thierry works as a radiologist at the AvL-NKI since May 2018. Within oncologic radiology, he is focused on chest and abdominal imaging (e.g. lung, bladder, prostate and bowel). He aims to stage and re-stage cancer as accurately as possible, to allow the best possible treatment plans within multidisciplinary teams. Thierry obtained his PhD under the supervision of Prof. Dr. J. Stoker at the University of Amsterdam in 2013. He combines his clinical work with research, starting up projects mainly focused on lung and bladder cancer. 

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Petra De Koekkoek Doll

Petra de Koekkoek - Doll

Radiologist

Experience

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Stijn Heijmink

Stijn Heijmink

Radiologist

Experience

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Caroline Hoeks

Caroline Hoeks

Radiologist

Experience

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Max Lahaye

Max Lahaye

Radiologist

Experience

Since 2015, Max holds a permanent staff position at the radiology department of the AvL-NKI as an abdominal radiologist. Next to his clinical work, he works as a senior researcher and PhD supervisor. His research focuses on imaging of peritoneal metastases in a wide variety of tumour tyes (colorectal cancer, ovarian cancer, gastric cancer, NET etc.). In 2009, Max obtained his PhD in MR imaging and contrast enhanced lymph node imaging in rectal cancer at the University of Maastricht under the supervision of Prof. Regina Beets-Tan. Since then, he has supervised and (co-)authored several projects on the use of imaging in colorectal cancer. Currently, he is conducting a large multicenter study in the Netherlands to assess the diagnostic performance of MRI in staging advanced ovarian cancer.

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Doenja Lambregts

Doenja Lambregts

Abdominal Radiologist

Experience

I have obtained my PhD degree (Cum Laude) on 'novel MR imaging techniques in rectal cancer' at Maastricht University in 2013. Subsequently I completed my Radiology training in 2016 at Maastricht UMC. Since then I have worked as senior staff member specialized in abdominal imaging at the Radiology department of the AvL-NKI.  

Apart from my work as a clinical radiologist, I am actively involved as a PI (and supervisor of PhD students) in several research projects on multiparametric oncologic imaging in various abdominal tumour types, as well as different multidisciplinary projects related to the role of imaging in modern rectal cancer treatment.

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Claudette Loo

Claudette Loo

Radiologist

Experience

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Monique Maas

Radiologist

Experience

Monique is a member of the permanent staff of the Department of Radiology since 2017. As a clinical radiologist, she primarily works in the field of abdominal radiology (GI tract, gynaecology, liver). Her second interest is neuroradiology/head and neck radiology. Her research focuses on (imaging in) the wait-and-see policy in rectal cancer and on liver imaging in patients with colorectal cancer and neuro-endocrine tumours. She obtained her PhD (with distinction) in Maastricht in 2013 on paradigm shifts in the diagnosis and treatment of patients with rectal cancer, with a specific focus on wait-and-see policy. Monique also runs the clinical trial unit at the radiology department. 

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Ritse Mann

Ritse Mann

Radiologist

Experience

Ritse is a breast radiologist with a strong interest in research. He splits his time between the Netherlands Cancer Institute and the Radboudumc, leading clinical breast research at both locations, focusing on potential solutions for current clinical issues in screening, diagnosis, and treatment monitoring.
He is the chairperson of the scientific committee of the European Society of Breast Imaging, and the coordinator of its program planning committee. He is also co-chair of the international EUSOBI working group on breast diffusion weighted imaging. He is the chairperson of the working group "diagnostiek" of the Borstkanker onderzoek groep (Breast cancer research group) Nederland. In addition, Ritse is a member of the scientific program committee for breast imaging of the RSNA, member of the advisory board of the Dutch Cancer Society, and member of the clinical advisory board of the Oncode Institute. He is the course director of the annual "Nijmegen Advanced Breast Imaging Course", and of DETECT, an annual course held in Cairo, Egypt. Furthermore, he is the lead section editor of Womens' Imaging for the European Journal of Radiology and reviewer for numerous other journals. Recent projects include the evaluation of breast MRI screening programs, the evaluation of 3D ultrasound, minimally invasive therapy for small breast cancers, and assessment of the value of artificial intelligence for screening mammography.

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Ivo Schoots

Radiologist

Experience

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Beatrijs Seinstra

Beatrijs Seinstra

Radiologist

Experience

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Laurens Topff

Laurens Topff

Radiologist

Experience

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Xinpei Gao

Postdoc

Experience

Xinpei completed her PhD at Leiden University Medical Center where she focused on computer-aided diagnosis by fully automatic radiological image processing. Afterwards, she continued as a researcher to help integrate her PhD work (including deep learning) into commercial computer-aided diagnosis products. Since 2019, she joined the Department of Radiology at the Netherlands Cancer Institute as a postdoctoral researcher to work on applying deep learning for helping the diagnosis and prognosis of cancer patients. 

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Robert Jan Schipper

Robert Jan Schipper

Postdoc

Experience

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Tao Tan

Tao Tan

Postdoc

Experience

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Thi Dan Linh Nguyen Kim

Thi Dan Linh Nguyen-Kim

Research fellow

Experience

In 2017, Dan Linh started her Research Fellowship in Oncologic Imaging funded by the European Society of Radiology (ESOR). She is part of the Immunotherapy Imaging Team. Her research focuses on tumor response assessment and oncologic imaging in cancer patients treated with immunotherapy.
Since 2014, Dan Linh holds a staff position at the Institute of Diagnostic and Interventional Radiology at the University Hospital Zurich in Switzerland with a sub-specialization in Thoracic Imaging. She is member of the Comprehensive Cancer Centre Zurich and group leader of the radiologic task force for oncologic tumor response assessment.

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Brigitte Aarts

Brigitte Aarts

PhD student

Experience

Brigitte obtained her medical degree at the University of Groningen in 2017. During her study, she was involved in research in living kidney donors at the Nephrology department (supervised by dr. MH de Borst). In 2017, she started her PhD at the interventional radiology department in the AvL under the supervision of dr. E.G. Klompenhouwer, dr. F.M. Gómez-Munoz, and Prof. R. Beets -Tan. The PhD thesis will be focused on two subjects: percutaneous ablation techniques for renal cell carcinoma and intra-arterial therapy in liver metastatic breast cancer. In 2018, a part of the PhD was performed in UZ Leuven in collaboration with prof. G. Maleux and prof. H. Wildiers. During her PhD, she is part of the council of the graduate school (OOA) on behalf of the diagnostic oncological disciplines (DOD). 

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Paula Bos

Paula Bos

PhD student

Experience

Paula studied Technical Medicine at Twente University, where she finished her Master's in Medical Imaging and Intervention. With her interest in image analysis and machine learning, she started her career as a PhD candidate at the Netherlands Cancer Institute under the supervision of Prof. R. Beets-Tan and Prof. M.W.M. van den Brekel. Combining two divisions, namely 'Radiology' and 'Head and Neck Oncology and Surgery', aims she to improve patient care by predicting treatment outcome in head and neck cancer patients. 

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Teresa Bucho

Teresa Bucho

PhD student

Experience

Teresa completed her master studies in Biomedical Engineering in 2018 at the Instituto Superior Técnico (Lisbon, Portugal). Soon after, she began her PhD at the Netherlands Cancer Institute (Amsterdam, the Netherlands) with a project focusing on the application of AI-driven solutions for the optimization of radiological follow-up of patients undergoing cancer immunotherapy. In particular, her research aims at tracking tumor burden through time and generalizing current region-specific AI models to the whole body.

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Zuhir Elkarghali

Zuhir Bodalal (Elkarghali)

PhD student

Experience

Zuhir graduated summa cum laude from the Faculty of Medicine in Benghazi, Libya and was engaged in a surgical residency prior to making the transition midway towards Medical Oncology. In addition to his clinical training, he graduated from the Masters of Oncology program at the Vrije Universiteit in Amsterdam with a focus on immuno-oncology. After having completed extensive immuno-oncological internships at the Cancer Center of Amsterdam (CCA-VUmc) and the Netherlands Cancer Institute (NKI), Zuhir has started a PhD within the Immunotherapy Imaging Team  under the supervision of Professor Regina Beets-Tan. His research line focuses on leveraging artificial intelligence in tumour (immuno)profiling and characterization.

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Maurits Engbersen

Maurits Engbersen

PhD student

Experience

A great interest in the many possibilities of magnetic resonance imaging had led Maurits to pursue a career in imaging research. Together with Dr. Lahaye and Ms. Van 't Sant, he aims to improve preoperative imaging for patients with peritoneal metastases with MRI. Before starting as a PhD candidate in the research group of Prof.dr. Beets-Tan, he was involved in research at the AMC and VUmc in Amsterdam, NL as well as at Duke University in North Carolina, USA. 

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Hesther Haak

Hester Haak

PhD student

Experience

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Kay Van Der Hoogt

Kay van der Hoogt

PhD student

Experience

Kay van der Hoogt graduated in Biomedical Engineering at the University of Twente. His specialization is within medical imaging. His current research at the radiology department is related to breast MRI. With the main focus on the application of Diffusion Weighted Imaging (DWI) in the diagnosis and therapy of breast cancer. This includes both clinical and technical aspects: qualitatively, and quantitatively as well as the role of AI.

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Lisa Min

Lisa Min

PhD student

Experience

Lisa is a PhD candidate at the GROW School for Oncology and Developmental Biology of Maastricht University and the Department of Radiology at the Netherlands Cancer Institute. Her research topic is 'multimodality and multi-parametric imaging in abdominal malignancy', on which she is working since 2016 under the supervision of Dr. Lambregts and Prof. Beets-Tan. Her projects focus on the complementary value of combined structural and functional imaging techniques (multi-parametric MRI, CT, PET/CT) for oncological (re-)staging and response evaluation. In addition, she is involved in several projects on response prediction using quantitative analysis of pre-therapy multimodality imaging aimed towards treatment personalization and organ preservation.  Lisa obtained her medical degree in 2014 (Selective Utrecht Medical Master, Utrecht University) after completing a Master's in Oncology (cum laude, Vrije Universiteit Amsterdam).

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Niels Schurink

Niels Schurink

PhD student

Experience

As of 2017, Niels started as a PhD candidate under the supervision of Prof. Regina Beets-Tan and Dr. Doenja Lambregts within the Netherlands Cancer Institute. His research focuses on developing prediction models that are able to predict whether a patient is going to benefit from chemoradiotherapy (specifically aimed at rectal cancer) based on primary diagnostic magnetic resonance imaging (MRI). With a background in Technical Medicine and a subspecialization in Imaging and Interventions, he aims to bridge the gap between technology and the clinics for the benefit of patient healthcare.

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Femke Staal

Femke Staal

PhD student

Experience

Femke achieved her medical degree in 2016 at the Erasmus University Medical Center in Rotterdam. During her masters, she worked in Great Ormond Street Children's Hospital in London to study the 3D bony shapes of skulls of patients with craniofacial deformities. After her graduation, she decided to work as a resident at the surgical ward and emergency room of a large regional hospital in Rotterdam (Maasstad Hospital). Subsequently, she chose to get more deeply involved in research concerning oncological imaging by working as a fulltime PhD-candidate. Femke works under the supervision of Prof. R. Beets-Tan and Dr. M. Maas at the Netherlands Cancer Institute (NKI) in Amsterdam. Her research focuses on the quantitative analysis of CT-imaging (with texture analysis) in patients with liver metastases, mainly from colorectal cancer.

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Marjaneh Taghavi

Marjaneh Taghavi

PhD student

Experience

Marjaneh began working in the field of biomedical signal processing in her master titled "ECG denoising by deterministic approach" in Sharif University of Technology, Tehran, Iran. She decided to continue her research interests in the biomedical image/signal processing field as a PhD candidate at the Netherland Cancer Institute under the supervision of Prof. Regina Beets-Tan and Dr. Monique Maas. Her main research topic is the use of computer aided decision support systems in patients with colorectal liver metastases by building a predictive radiomics model leveraging machine learning and deep learning. The aim of her research is to further promote personalized treatment.

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Stefano Trebeschi

Stefano Trebeschi

PhD student

Personal details

Groups

Experience

Stefano began working in the field of quantitative medical imaging and decision support systems during his master studies at the Technical University of Munich, Germany. He decided to pursue a scientific career in this topic as a PhD candidate at the Netherlands Cancer Institute (Amsterdam, the Netherlands) under the supervision of Prof. R. Beets-Tan and Prof. Dr. H. Aerts (Data-Farber Cancer Institute, Boston, US) within the Immunotherapy Imaging Team. His research topic focuses on computer decision support systems in cancer patients receiving immunotherapy, including radiomics, machine learning, and deep learning. The aim of his research is to contribute to promoting personalized medicine in cancer by reproducible data analysis and decision support systems. He is a strong believer in multidisciplinary of scientific research. 

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Sophie Vollenbrock

Sophie Vollenbrock

PhD student

Experience

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Joost Van Griethuysen

Joost van Griethuysen

PhD student

Experience

After finishing his masters in medicine in Maastricht, Joost decided to further his academic career as a PhD-student under the supervision of Prof. Dr. Regina Beets-Tan and Dr. Hugo Aerts. His research focuses on the development and application of radiomics in rectal cancer, with the aim to develop models for predicting outcome to neoadjuvant treatment using primary staging MRI. After finishing his PhD, Joost aims to start training in a residency program to become a radiologist.

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Melda Yeghaian

Melda Yeghaian

PhD student

Experience

Melda received her MSc in Computer Science from the National University of Ireland, Maynooth and the University of St Andrews, the UK in 2018. She developed an interest in medical image analysis during her Master's by working on cancer segmentation with deep learning. She is currently pursuing a research-oriented career as a PhD student at the Netherlands Cancer Institute under the supervision of Prof. R. Beets-Tan and Dr. X. Gao. Her research focuses on integrating multimodal data to build prediction models for cancer treatment outcome and prognosis using machine learning and deep learning. Melda aims to further explore the benefits of computer science techniques and AI algorithms, along with clinicians, to support decision making and contribute to cancer research.

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Ieva Kurilova

Ieva Kurilova

PhD student

Experience

Ieva is a PhD candidate in the area of Interventional Oncology (IO) - the most rapidly growing interventional radiology subspecialty. Her research focus is the treatment of metastatic colorectal cancer in the IO setting. IO plays a very important role in the treatment of metastatic colorectal cancer patients, who are not eligible for surgery. IO provides a large variety of minimally invasive modalities to treat oligometastatic disease, bridge potentially resectable patients to surgery as well as provide disease control for patients in the palliative (salvage) setting. The main aim of her research is to evaluate oncological outcomes, complications as well as risk factors for patients treated with thermal ablation and Y-90 radioembolization. Ieva is working under the supervision of Prof. R.G.H. Beets-Tan and Prof. C.T. Sofocleous (Memorial Sloan Kettering Cancer Center, New York). 

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Thianyu Zhang

PhD student

Experience

Tianyu Zhang graduated in Bioengineering at South China University of Technology. He is a PhD candidate now at Maastricht University and the department of radiology at the Netherlands Cancer Institute (NKI), under the supervision of Prof. Dr. Regina Beets-Tan, Dr. Ritse Mann and Dr. Tao Tan. His research focuses on machine learning and deep learning on breast imaging, and the development and evaluation of Artificial Intelligence for breast cancer diagnosis using multimodal data.

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Charlotte Rijsemus

Charlotte Rijsemus

PhD student

Experience

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Contact

  • E-mail

    j.tuurenhout@nki.nl

  • Telephone Number

    +31 (0)20 512 1728

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