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, until further notice, via Zoom every Thursday afternoon from 15:00 - 16:00 PM, and is mandatory for all PhD candidates and MSc students. 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 the beginning 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
02-09-2021	Michel Botros	Detecting and characterizing vertebral fractures in CT scans
09-09-2021	Roel Hacking	Combining chest CT scans and clinical features for improved automated COVID-19 detection
16-09-2021	Cyril de Kock	Automated Quantification of Tumor-Infiltrating Lymphocytes
23-09-2021	Niels van Nistelrooij	Predicting a patient's facial profile after orthognathic surgery
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
14-10-2021	Jasper van der Graaf	MRI-based decision support tool for chronic low back pain
21-10-2021	Koen Dercksen	Entity linking for patient-friendly radiology reports
28-10-2021	Shankeeth Vinayahalingam	TBA
04-11-2021	Mirthe van Diepen Noud Emonts	TBA
11-11-2021	Gelana Khazeeva	TBA

Past meetings

Date	Speaker	Title
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.