MSc Projects
We no longer accept proposals for Master internships. An overview of past projects can be found below.
Project Vacancies
Running Projects
![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/prosthesis.jpg)
AI-Designed 3D prothesis for 3D Printing in third world countries
Development of a deep learning algorithm for automatically designing prosthetics based on 3D scans
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/paradigm_3D_screenshot_2x1.png)
2D Plane Detection in 3D prenatal ultrasound
Detection and analysis of 2D planes of interest in 3D ultrasound images
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/hipoa.png)
Automated Detection and Grading of Hip Osteoartritis
We want to develop deep learning algorithms for detection and grading of hip osteoartritis.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/cardiac-oct-segmentation.png)
Automated analysis of intracoronary OCT images for patients with acute myocardial infarction
Development of a model for the automatic analysis of intracoronary optical coherence tomography (OCT) images obtained during cardiac catheterization in patients with acute myocardial infarction
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/fast-mri.png)
Interventional reconstruction AI for real-time needle tracking in MRI
Development of an interventional reconstruction algorithm for real-time needle tracking in MRI
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/developmental-hip-dysplasia.png)
Automated Detection of Developmental Hip Dysplasia
Develop a deep learning algorithms for automated detection developmental hip dysplasia. The algorithms should run on a phone with a low-cost portable ultrasound probe attached.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/ih-prostate-diagnostics.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/liverStage.jpg)
Spying on parasites: using deep learning to quantify the interactions between malaria parasites and human liver cells
Quantifying interactions between malaria parasites and human liver cells
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/mosquito-biting.png)
Deep behavioral phenotyping of mosquito biting behavior
Development of a deep learning algorithm for phenotyping of mosquito biting behavior in video
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/self-supervision.png)
Self-supervised pretraining for digital pathology
Development of self-supervised pretraining for digital pathology.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/WMH_segmentation.png)
Automated detection of progression of white matter hyperintensities in cerebral small vessel disease using machine learning
Development of a segmentation model for WMH in in vivo and post-mortem brain MRI and detection of WMH progression.
Read more →Completed Projects
![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/3d_landmark_detection.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/MD_drug_repurposing.png)
Drug repurposing with graph neural networks for COVID-19 and Myotonic Dystrophy type 1
Develop a method to identify drug repurposing candidates for myotonic dystrophy and COVID-19 by Graph Convolutional Networks
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/NLP_lesion_detection.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/aaa21.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/aaa-detection.png)
Automated AAA detection
Project aimed at development of deep learning algorithms for automated detection of AAA.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/NISPA.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/ai4adhesion.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/ai-marketplaces-analysis.png)
Commercial AI marketplaces for radiology
Investigating the surge of commercial AI marketplaces for radiology
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/mri_intervention.jpg)
AI steered interventional MRI
Develop Artificial Intelligence (AI) to track tumor targets in interventional MRI.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/msc_nash.jpg)
AI-based quantification of non-alcoholic steatohepatitis
Develop a method to quantify non-alcoholic steatohepatitis in histopathology images
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/pathology_artifact_detection_msc.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/body-composition.jpg)
Body composition assessment in 3D CT and MR images
Automatic quantification of muscle and fat tissue in 3D CT and MR images
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/bradykinesia.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/corads-ai.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/covid_echo.png)
Automated COVID-19 classification using ultrasound
Development of deep learning algorithms and web application for automated classification of COVID-19.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/de-novo-variant-detection.jpeg)
Developing deep learning algorithm for de novo variants detection in Pacbio long-read sequencing data
Developing deep learning algorithm for de novo variants detection in Pacbio long-read sequencing data.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/endoaid.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/facial-landmarks.png)
Automated landmark detection on lateral headplates for orthodontic diagnosis
Development of a method for automatic facial landmark detection in cephalograms.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/facial-phenotyping.jpg)
Facial phenotyping of intellectual disability patients
Development of a deep learning algorithm for learning face representations.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/intensive_care.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/segmentation.jpg)
Few-shot learning for medical image segmentation
Develop a 3D segmentation method that can learn a task from only a few segmented 2D slices.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/fhr_twin_pregnancies.png)
Fetal heart rate detection in twin pregnancies
Development of a model to determine the individual fetal heart rates in twin pregnancies.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/fracture_detection_radius_ulna_metacarpals_msc_project.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/gp_diagnoses.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/gp_diagnoses.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/vertebra-segmentation.png)
Robust identification of the L3 vertebra
Develop a method to label segmented vertebra on CT scans that is robust to abnormalities and anatomical variants.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/pdl1-project.png)
Detecting and quantifying lymphocytes in CD8, CD3 and Ki-67 marked immunohistochemistry slides using deep learning.
Project aimed at development of deep learning algorithms for the identification of lymphocytes in IHC staining.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/lymphocyte_multimodality.png)
Color deconvolution for color-agnostic and cross-modality analysis of immunohistochemistry whole-slide images with deep learning
Applying models trained on immunohistochemistry data to differently-stained and multiplex immunofluorescence data
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/clinical_deterioration.jpg)
Predicting Clinical Deterioration Events
Predicting clinical deterioration events in hospitalized patients by using novel machine learning techniques.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/msc_patho_breast_risk_predict.jpg)
Identification of features in benign breast disease biopsies that predict breast cancer risk
Development of a deep learning system to predict BC risk in H&E
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/body-composition-3d.jpg)
Segmenting CT images for body composition assessment
We develop algorithms for segmentation of muscles and fat tissue in 3D CT images.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/muscle_us.png)
Automatic screening for neuromuscular disorders
Development of a deep learning algorithm for the automatic classification of muscle ultrasound images.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/ood.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/orthostatic_hypertension.png)
Applications of deep learning on orthostatic hypotension detection
Develop a method to predict orthostatic hypotension in realtime for early diagnosis
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/decision_support.jpg)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/placental-vessel-segmentation.png)
Graph Representation of Placental Vasculature for Treatment of Twin-to-Twin Transfusion Syndrome
Presenting a proof of concept, where we explored the potential of representing the placental vascular structure as a graph network
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/pneumothorax.jpg)
Pneumothorax detection
Development of a system to detect pneumothorax in frontal chest radiographs.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/pdl1-project.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/predicting-icu-survival.png)
Predicting changes in quality of life of ICU survivors
Development of a model for prediction of quality of life.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/prenatal-screening.jpg)
Automated prenatal ultrasound screening
Project aimed at development of deep learning algorithms for automated detection of twin pregnancies and placenta localization.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/project-programmatic-picture.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/domain_adapt.png)
Domain Generalization for Prostate Cancer Detection in MRI
Develop a method for domain generalization for prostate cancer detection in MRI
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/prostate_pathology.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/psoriasis_AI.jpg)
Automated clinical scoring in psoriasis
Development of automatic classification algorithm for psoriasis in photographs of the body.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/scoliosis_modeling.jpg)
Scoliosis simulation for improving a segmentation and labelling algorithm
Modeling of deformities in adolescent idiopathic scoliosis to improve segmentation
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/simulated_hearing.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/subsolid-nodule-segmentation-ai4h-21.png)
Automatic segmentation of subsolid pulmonary nodules using deep learning
Development of deep learning algorithms for subsolid nodule analysis in CT.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/soft_tissue.png)
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 →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/textmining.jpg)
Text mining pathology reports
Development of a text mining system to accurately make a diagnosis from nephrology pathology reports.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/nucls.jpg)
Automated Quantification of Tumor-Infiltrating Lymphocytes
Developing an algorithmn that can automatically detect and segment tumor-infiltrating lymphocytes in breast cancer.
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/trauma-ai-liver.jpg)
Machine Learning in Acute Care: Liver & Spleen
Will deep learning-based algorithms become the new members of the trauma team?
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/projects/vaccine_candidate_prediction.png)
3D Convolutional Network based cancer vaccine candidate predictions
Develop an AI method to identify cancer vaccine candidates using 3D Convolutional Networks - a proof of concept
Read more →![](https://cdn.statically.io/img/assets.diagnijmegen.nl/images/vacancies/msc-vertebral-fractures.jpg)
Detecting and characterizing vertebral fractures in CT scans
Developing image analysis algorithms that automatically detect osteoporotic vertebral fractures.
Read more →