MSc Projects

We are continuously looking for interesting new projects. More information about project proposals can be found here.

MSc students are eligible to receive a monthly reimbursement of €500,- for a period of six months. For more information, please read the requirements. An overview of current project vacancies can be seen below.

Project Vacancies

Progression of white matter hyperintensities in CSVD

Develop a method to quantify progression of white matter hyperintensities in CSVD

Read more →
Automated Detection of Developmental Hip Dysplasia

Project aimed at development of deep learning algorithms for automated detection developmental hip dysplasia.

Read more →
Generic out-of-distribution detection for radiology AI systems

Develop a method for out-of-distribution detection to make AI more reliable and robust

Read more →
Extending a prostate cancer grading algorithm to other surgical entities

Develop a method to extend a prostate cancer grading algorithm to other surgical entities

Read more →

Running Projects

Identification of drug repurposing candidates for myotonic dystrophy by Graph Convolutional Networks

Develop a method to identify of drug repurposing candidates for myotonic dystrophy by Graph Convolutional Networks

Read more →
Natural language processing of radiology reports for lesion detection

Develop a method to automatically find statements in radiology reports on the presence, size and type of lesions in CT scans.

Read more →
Automated AAA detection on CT scans

We want to develop a robust deep learning algorithm for automated detection of abdominal aorta aneurysms in CT scans.

Read more →
Predicting treatment for Addictive Behaviors in Clinical practice (PreT-ABC)

Development of a method for the identification of patient-related predictors of treatment outcome.

Read more →
Commercial AI marketplaces for radiology

Investigating the surge of commercial AI marketplaces for radiology

Read more →
Body composition assessment in 3D CT and MR images

Automatic quantification of muscle and fat tissue in 3D CT and MR images

Read more →
AI-assisted detection of endometrium (pre)malignancies in endometrium pipelle biopsies

The development of model to detect (pre)malignancies in highly fragmented pipelle sampled biopsies.

Read more →
Quantification of immunohistochemical markers for improved prostate cancer prognostics

Development of a model for the quantification of immunohistochemical markers for improved prostate cancer prognostics

Read more →
Applications of deep learning on orthostatic hypotension detection

Develop a method to predict orthostatic hypotension in realtime for early diagnosis

Read more →
Domain Generalization for Prostate Cancer Detection in MRI

Develop a method for domain generalization for prostate cancer detection in MRI

Read more →
Scoliosis simulation for improving a segmentation and labelling algorithm

Modeling of deformities in adolescent idiopathic scoliosis to improve segmentation

Read more →
Automated Quantification of Tumor-Infiltrating Lymphocytes

Developing an algorithmn that can automatically detect and segment tumor-infiltrating lymphocytes in breast cancer.

Read more →
Machine Learning in Acute Care: Liver

Will deep learning-based algorithms become the new members of the trauma team?

Read more →

Completed Projects

Three dimensional facial landmark detection in 3D Photos

Development of a model for the automatic detection of clinically relevant facial landmarks in 3D Photos.

Read more →
Automated AAA detection

Project aimed at development of deep learning algorithms for automated detection of AAA.

Read more →
Artificial intelligence-assisted detection of adhesions on cine MRI

Development of an AI-assisted algorithm for automatic detection of adhesions on cine MRI

Read more →
AI steered interventional MRI

Develop Artificial Intelligence (AI) to track tumor targets in interventional MRI.

Read more →
Artifact detection in digitized histopathology images

Development of a deep learning algorithm that can classify the different types of artifacts in whole slide images.

Read more →
Bradykinesia assessment in Parkinson’s disease

Development of a model for the automatic identification of Parkinson's disease based on a keyboard test.

Read more →
Improving detection of COVID-19 classification with CT scans

Development of deep learning algorithms and a web application for automated classification of COVID-19.

Read more →
Automated COVID-19 classification using ultrasound

Development of deep learning algorithms and web application for automated classification of COVID-19.

Read more →
Automated landmark detection on lateral headplates for orthodontic diagnosis

Development of a method for automatic facial landmark detection in cephalograms.

Read more →
Facial phenotyping of intellectual disability patients

Development of a deep learning algorithm for learning face representations.

Read more →
Identify fever etiology in ICU patients with acute brain injury

Development of a model that can identify whether a febrile ICU patient with acute brain injury has an infectious fever or non-infectious fever.

Read more →
Fetal heart rate detection in twin pregnancies

Development of a model to determine the individual fetal heart rates in twin pregnancies.

Read more →
Detecting Fractures in the Radius, Ulna, and Metacarpal Bones on Conventional Radiographs

Development of a deep learning algorithm and web application for automated detection of fractures in the radius, ulna, and metacarpal bones on conventional radiographs.

Read more →
Exploring Multi-task Learning for Improving Diagnosis in General Practice

Development of a model to determine probable diagnoses for common reasons to visit a General Practitioner.

Read more →
Machine Learning with Electronic Patient Records for Diagnosis Prediction in General Practice

Development of a model to determine probable diagnoses for common reasons to visit a General Practitioner.

Read more →
Predicting Clinical Deterioration Events

Predicting clinical deterioration events in hospitalized patients by using novel machine learning techniques.

Read more →
Segmenting CT images for body composition assessment

We develop algorithms for segmentation of muscles and fat tissue in 3D CT images.

Read more →
Automatic screening for neuromuscular disorders

Development of a deep learning algorithm for the automatic classification of muscle ultrasound images.

Read more →
Modelling long-term progression of Parkinson’s

Development of a model to support treatment decisions regarding cardiovascular risk management in patients with Parkinson’s disease (PD).

Read more →
Pneumothorax detection

Development of a system to detect pneumothorax in frontal chest radiographs.

Read more →
Detection of tumor and immune cells in PD-L1 stained histopathology lung cancer whole-slide images

Project aimed at development of deep learning algorithms for the (semi-) automated scoring of PD-L1 positive tumor cells, an established biomarker for immunotherapy treatment response in lung cancer patients.

Read more →
Predicting changes in quality of life of ICU survivors

Development of a model for prediction of quality of life.

Read more →
Automated prenatal ultrasound screening

Project aimed at development of deep learning algorithms for automated detection of twin pregnancies and placenta localization.

Read more →
Programmatically Generating Annotations for De-identification of Clinical Data

Development of machine learning systems to find and annotate protected health information in medical records.

Read more →
Automated clinical scoring in psoriasis

Development of automatic classification algorithm for psoriasis in photographs of the body.

Read more →
Simulated Prosthetic Hearing in deaf subjects

Development of a neural network based model that improves speech perception in cochlear implant recipients, by optimizing the vocoder strategy in order to restore binaural hearing in deaf subjects.

Read more →
Three dimensional oral and maxillofacial surgical outcome prediction

Development of a deep learning method that can generate 3D facial profiles of a patient after orthognathic surgery provided the planned surgical parameters.

Read more →
Text mining pathology reports

Development of a text mining system to accurately make a diagnosis from nephrology pathology reports.

Read more →
Detecting and characterizing vertebral fractures in CT scans

Developing image analysis algorithms that automatically detect osteoporotic vertebral fractures.

Read more →