PhD defense Sarah van Riel
Sarah van Riel will defend her PhD thesis with the title 'Malignancy risk estimation of screen-detected pulmonary nodules: validation of current management recommendations' on 9th of December at 13.30.
News
PhD defense Midas Meijs
Midas Meijs will defend his PhD thesis with the title, "Automated Image Analysis and Machine Learning to Detect Cerebral Vascular Pathology in 4D-CTA" on 26th of November at 15.30.
VIDI grant for Francesco Ciompi for improving lung cancer treatment planning
Francesco Ciompi of the Computational Pathology group has received a prestigious NWO-TTW VIDI grant of 800,000 euro for his project "Predicting Lung Cancer Immunotherapy Response. It's personal".
Turbo grant for Nikolas Lessmann for accelerating bone metastasis fracture risk assessment
Nikolas Lessmann and Bram van Ginneken of DIAG received a TURBO grant of 80,000 euro for a collaboration project with Jelmer Wolterink and Christoph Brune from the faculty of Applied Mathematics at the University of Twente and Esther Tanck and Dennis Janssen from the Department of Orthopedics of Radboudumc …
Final presentations first AI for Health course
Friday, September 25, 2020, the first AI for Health course concluded with a meeting where all participants presented their AI projects' results. About 25 Radboudumc employees from different backgrounds followed the first course. The second edition has now started and will run until February 2021. The third edition is scheduled …
KWF grant for AI research on premalignancies of the Fallopian tube
In this project we aim to develop and validate AI techniques for the detection of serous tubal intra-epithelial carcinoma (STIC), a non-invasive lesion in the distal Fallopian tube which is expected to be a precursor for ovarian cancer.
PhD defense Maschenka Balkenhol
Maschenka Balkenhol succesfully defended her PhD thesis titled 'Tissue-based biomarker assessment for predicting prognosis of triple negative breast cancer: the additional value of artificial intelligence' on the 15th of September.
Impact of Scanners and Staining of WSIs on CNNs
The impact of scanner variations and stain normalization on CNN performance for prostate cancer classification on WSIs was investigated by Zaneta Swiderska-Chadaj and their colleagues, and the work was published in Nature Scientific Reports.
Streaming CNNs for Multi-Megapixel Images
Due to memory constraints on current hardware, most convolutional neural networks (CNN) are trained on sub-megapixel images. A novel method for end-to-end training of CNNs on multi-megapixel images was proposed by Hans Pinckaers and his colleagues. Their work appeared online in IEEE Transactions on Pattern Analysis and Machine Intelligence.
CAD4COVID-XRay in the news
RSNA News interviewed Keelin Murphy about her Radiology publication on CAD4COVID-XRay, an AI solution for finding COVID-19 with chest radiography.