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 the Skatecourt (r. 14) of the Experience Center of the Radboudumc, every Thursday afternoon from 15:00 - 16:00 PM, and is mandatory for all PhD candidates and MSc students. The meetings can also 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 email@example.com.
The slides for past presentations are available by clicking on the links in the titles below.
|18-11-2021||Luca Carotenuto||Three-dimensional facial landmark detection in 3D Photos|
|25-11-2021||Mirthe van Diepen||TBA|
|02-12-2021||Ruud van Kaam
Kirina van der Bijl
|09-12-2021||Douwe van Erp
|## Past meetings|
|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|
|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|
Kicky van Leeuwen
|AI in Radiology: From research to commercialization and back|
|Diagnosis Prediction in General Practice: The Importance of Temporality in EPRs
Exploring Multi-task Learning for Improving Diagnosis in General Practice
|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.|
Guido de Jong
|WondGezond – Towards a post-operative surgical site monitoring platform|
|AI discrimination risks in health and medicine|
|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.|
|Causal discovery in real-world applications: closing the gap between theory and practice.|
|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|
|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.|
|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.|
|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.|
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.|
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.