©2017 by D-Lab

Alumni

Jaap Zindler (2013) -  (25-10-2017)
Improving Patient Selection and Outcome of Stereotactic radiosurgery as a Single Treatment Modality for Brain Metastases

Chintan Parmar (18-05-2017)
Machine Learning Applications for radiomics: Towards Robust Non-invasive Predictors in Clinical Oncology

Marike van Gisbergen (29-03-2017)
Mitochondria in a personalized cancer treatment approach.

Kranthi Panth (30-06-2016)
Novel Imaging Methods for Cancer Detection: More than meets the Eye.

Erik Roelofs (08-07-2016)
From Data to Decision. A knowledge engineering approach to individualise cancer therapy

Sara Joao Carvalho (30-06-2017)

Biomarkers in non-small cell lung cancer: Imaging and Blood

Karen Zegers (09-03-2016 Cum Laude)

Imaging of tumor hypoxia with PET: a step towards individualized cancer treatment

Sarah Peeters (09-07-2015)

The hypoxic tumor microenvironment from imaging to targeting

Jeroen Buijsen (01-07-2015)

Rectal cancer step towards tailored treatment

Emmanuel Rios Velazquez (24-10-2014)
Multifactorial decision support systems in radiation oncology: clinical predictors and Radiomics

Ruud van Stiphout (10-04-2014)
Predictive modeling of treatment outcome in rectal cancer

Bram Ramaekers (13-09-2013)
Acknowledging patient heterogeneity in health technology assesment

Maud Starmans (25-11-2011)
Microarray-based expression signatures: potential application for individualized cancer treatment

Marco Janssen (14-09-2011)
Functional imaging for treatment response evaluation in rectal cancer"

Cary Oberije (17-02-2011)
Predicting outcome in lung cancer patients: Towards individualized treatment in radiotherapy

Hugo Aerts (16-12-2010)

Molecular Imaging of EGFR

Steven Petit (03-12-2010)
Voxel Control Probability

Merel Kimman (05-11-2010)
Improving the quality and efficeincy of follow-up in curatively treated breast cancer patients

Judith van Loon (22-10-2010)
Molecular imaging in the combined modality treatment of lung cancer