Meeting

The interactive meeting provides an excellent opportunity for all members to learn about the course, ongoing research projects and the AI innovations for Health(care) that are being worked on.

The weekly meeting is held in person as well as online, every Thursday afternoon from 15:00 - 16:00 PM, and is mandatory for all PhD candidates and MSc students. The meetings can be followed online via Zoom. Please join our Meetup page to receive the announcements of our weekly meetings.

PhD candidates are expected to give an update on their project twice a year. MSc students are required to present their work at half way and end of their project. The research project supervisors are expected to be present during the presentations of their MSc student. The attendance of research project supervisors during other meetings is optional, but highly appreciated. To reserve a presentation slot for a future meeting, please send an email to aiforhealth@radboudumc.nl.

The slides for past presentations are available by clicking on the links in the titles below.

Upcoming meetings

Date Speaker Title Location
01-12-2022 Sanyog Vyawahare TBA Skatecourt, route 14, Experience Center
17-11-2022 Matthijs Luijten
Isabel Burgos
TBA Skatecourt, route 14, Experience Center
10-11-2022 Ole ten Hove TBA Skatecourt, route 14, Experience Center
03-11-2022 ICAI meetup - -

Past meetings

Date Speaker Title
27-10-2022 Luke van Leijenhorst (guest speaker) Textual entailment for SOP implementation
13-10-2022 Yassier Elawady Commercial AI marketplaces for radiology
06-10-2022 Michelle Stegeman
Laura Alvarez
Extending a prostate cancer grading algorithm to other surgical entities
Machine Learning in Acute Care: Liver
29-09-2022 Thijs Gelton AI-assisted detection of endometrium (pre)malignancies in endometrium pipelle biopsies
21-07-2022 Sasha Peerdeman Quantification of immunohistochemical markers for improved prostate cancer prognostics
14-07-2022 Lars Leijten Scoliosis simulation for improving segmentation and labeling of vertebrae
07-07-2022 Lotte Willems
Djesse Dirckx
Drug repurposing using graph neural networks for COVID-19 and DM1
30-06-2022 Daniil Lepikhov Can 3D CNN help predicting p:MHC binding affinity using structural data
09-06-2022 Thijs Gelton AI-assisted detection of endometrium (pre)malignancies in endometrium pipelle biopsies
02-06-2022 Heleen Kerstholt Predicting treatment outcomes for Addictive Behaviors in Clinical practice (PreT-ABC)
19-05-2022 Lotte Willems
Djesse Dirckx
Drug repurposing using graph neural networks for COVID-19 and DM1
12-05-2022 Sanyog Vyawahare
Laura Alvarez
Automated landmark detection on lateral headplates for orthodontic diagnosis
Automated abdominal trauma injury segmentation and AAST classification
28-04-2022 Lars Leijten Scoliosis simulation for improving segmentation and labeling of vertebrae
21-04-2022 Enrico Schmitz Applications of deep learning on orthostatic hypotension detection
14-04-2022 PhD-only meeting -
07-04-2022 Cyril de Kock Automated quantification of tumor-infiltrating lymphocytes
31-03-2022 Manuela Bergau
Thomas van der Broek
Leveraging radiology reports for automatic lesion detection in CT scans
Natural language processing of radiology reports for lesion detection
24-03-2022 Sasha Peerdeman Generalising model for detection and quantification of tumour infiltrating lymphocytes
17-03-2022 Lena Philipp Body composition assessment in 3D CT and MR images
10-03-2022 Luca Carotenuto Three dimensional landmark detection in 3D CT-Scans and 3D Photos
24-02-2022 Kirina van der Bijl Fetal heart rate detection in twin pregnancies
17-02-2022 Yassier Elawady AI in radiology: the rise of AI marketplaces and the future in clinical setting
10-02-2022 Heleen Kerstholt Predicting treatment for Addictive Behaviors in Clinical practice (PreT-ABC)
03-02-2022 Thomas van der Broek Natural language processing of radiology reports for lesion detection
27-01-2022 Guest Speaker
Bart Geerts
Towards proactive surgical infection management: Development and external validation of an AI-based prediction tooli
20-01-2022 Sanyog Vyawahare Automated Cephalometric Analysis using Object Detection and Heatmaps
09-12-2021 Douwe van Erp
Manuela Bergau
Automatic AAA Detection from Ultrasound Imaging using Deep Learning
Natural language processing of radiology reports for lesion detection
02-12-2021 Ruud van Kaam
Kirina van der Bijl
Prediction of intracranial hypertension in patients with traumatic brain injury
Fetal heart rate detection in twin pregnancies
25-11-2021 Mirthe van Diepen Causal discovery for mechanisms of vascular function and cognition decline
18-11-2021 Luca Carotenuto Three-dimensional facial landmark detection in 3D Photos
11-11-2021 Gelana Khazeeva AI-driven genetic diagnosis for rare-diseases
04-11-2021 Noud Emonts Multi-BEHRT: A Multi-Task Transformer for Diagnosis Prediction in General Practice
28-10-2021 Shankeeth Vinayahalingam Automated chart filing on panoramic radiographs using deep learning
21-10-2021 Koen Dercksen Entity linking for patient-friendly radiology reports
14-10-2021 Jasper van der Graaf MRI-based decision support tool for chronic low back pain
07-10-2021 Richard Li
Evgenia Martynova
Diagnosis Prediction in General Practice with Electronic Patient Records
Artificial intelligence-assisted detection of adhesions on cine-MRI
23-09-2021 Niels van Nistelrooij Predicting a patient's facial profile after orthognathic surgery
16-09-2021 Cyril de Kock Automated Quantification of Tumor-Infiltrating Lymphocytes
09-09-2021 Roel Hacking Combining chest CT scans and clinical features for improved automated COVID-19 detection
02-09-2021 Michel Botros Detecting and characterizing vertebral fractures in CT scans
24-06-2021 Silvan Quax Streamlit: a fast way to build and share data apps
17-06-2021 Guest speaker
Kicky van Leeuwen
AI in Radiology: From research to commercialization and back
10-06-2021 Richard Li
Noud Emonts
Diagnosis Prediction in General Practice: The Importance of Temporality in EPRs
Exploring Multi-task Learning for Improving Diagnosis in General Practice
27-05-2021 Nolan Cardozo
Ismail Güclü
Automated clinical scoring in psoriasis based on RGB images. MSc defence
Programmatically generating annotations for de-identification of clinical data MSc defence
20-05-2021 Douwe van Erp The AAA Checker - Automatically detecting abdominal aortic aneurysms.
06-05-2021 Guest speaker
Guido de Jong
WondGezond – Towards a post-operative surgical site monitoring platform
29-04-2021 Guest speaker
Tamar Sharon
AI discrimination risks in health and medicine
22-04-2021 Michel Botros
Eugenia Martynova
Detecting and characterizing vertebral fractures in CT scans.
Artificial intelligence-assisted detection of adhesions on cine MRI.
15-04-2021 Niels van Nistelrooij Three dimensional oral and maxillofacial surgical outcome prediction.
08-04-2021 Jeroen Verboom Detecting Fractures in the Radius, Ulna, and Metacarpal Bones on Conventional Radiographs.
25-03-2021 Gelana Khazeeva DeNovoCNN: A deep learning based tool for de novo variant calling.
18-03-2021 Guest speaker
Tom Claassen
Causal discovery in real-world applications: closing the gap between theory and practice.
11-03-2021 Guest speaker
Sijm Noteboom
Prediction of intracranial pressure after neurotrauma.
04-03-2021 Gijs Smit Artifact detection in digitized histopathology images.
25-02-2021 Anna Gansen Bradykinesia assessment in Parkinson’s disease.
04-02-2021 Roel Hacking Improving detection of COVID-19 classification with CT scans.
28-01-2021 Ismail Güclü Programmatically Generating Annotations for Clinical Data
10-12-2020 Nolan Cardozo

Gijs Smit
Automated clinical scoring in psoriasis based on RGB images.

Artifact detection in digitized histopathology images.
03-12-2020 Mirthe van Diepen Unraveling mechanisms of vascular function and regulation with causal discovery.
26-11-2020 Anna Gansen Objective home-based bradykinesia assessment in Parkinson’s disease.
19-11-2020 Gelana Khazeeva AI-driven genetic diagnosis for rare-diseases.
12-11-2020 Lisette Boeijenk A machine learning model to identify neurogenic and infectious fever
in ICU patients with acute brain injury.
05-11-2020 Ruud van Kaam Predictive Modeling in the Intensive Care Unit.
29-10-2020 Alex Tichter Simulated Prosthetic Hearing in deaf subjects.
22-10-2020 Jasper van der Graaf MRI-based decision support tool for patients with chronic lower back pain.
15-10-2020 Koen Dercksen Building multi-modal interactive health records.
08-10-2020 Shankeeth Vinayahalingam Development and validation of a deep-learning system for wisdom tooth removal.
01-10-2020 Martijn Schilpzand Automated prenatal ultrasound screening.
24-09-2020 Klaus Lux Screening for neuromuscular disorders using automatic classification of muscle ultrasound images.
17-09-2020 Thijs van den Hout Muscle and fat segmentation in 3D CT images for body composition assessment.
10-09-2020 Guest Speaker
Stanley Pham
Deep Learning Architectures for Prognostication After Cardiac Arrest with EEG. [Video]
03-09-2020 Manon de Jonge Predicting changes in quality of life of ICU survivors.
27-08-2020 Fien Ockers

Max Oosterwegel
Quantitative facial phenotyping of patients with intellectual disability.
Modelling long-term progression of Parkinson’s disease.
02-07-2020 Ruben Kluge Pneumothorax detection using Deep Learning.
14-05-2020 Fien Ockers Quantitative facial phenotyping of patients with intellectual disability.
16-04-2020 Guest Speaker
Bram van Ginneken
DIAG AI development for COVID-19.
02-04-2020 Martijn Schilpzand Automated prenatal ultrasound screening.
19-03-2020 Alex Tichter Simulated Prosthetic Hearing in deaf subjects.
05-03-2020 Josien Visschedijk Text mining pathology reports.
20-02-2020 Evi Sijben Predicting and explaining the effect of pelvic floor surgeries.
13-02-2020 Ruben Kluge Pneumothorax detection using Deep Learning.
06-02-2020 Tristan Payer AI-assisted PD-L1 scoring in lung cancer.
30-01-2020 Guest Speakers
Francesco Ciompi
Wouter Bulten

An introduction to Computational Pathology.
Automated Gleason Grading using Deep Learning.
23-01-2020 Tristan de Boer AI steered interventional MRI.
16-01-2020 Koen Dercksen Building multi-modal interactive health records.
09-01-2020 Shankeeth Vinayahalingam Development and validation of a deep-learning
system for wisdom tooth removal.