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.
RSNA News interviewed Keelin Murphy about her Radiology publication on CAD4COVID-XRay, an AI solution for finding COVID-19 with chest radiography.
Together with colleagues from the NCI and the AMC, DIAG's Jonas Teuwen and Nikita Moriakov won an international competition where MRI-scans can be accelerated using deep learning.
Pulmonary lobe segmentation in computed tomography scans is essential for regional assessment of pulmonary diseases. Our algorithm for automatic segmentation of pulmonary lobes on CT scans for patients with COPD or COVID-19 is now available on Grand Challenge.
After CAMELYON, there is now PANDA, our new challenge on prostate cancer grading in collaboration with Kaggle and Karolinska Institutet. Our aim is to crowdsource the best possible solution to help pathologists better diagnose and treat patients.
The Novartis Transplantation Award for Basic Research was awarded to the Computational Pathology group for the JASN publication on Deep learning for histopathologic renal tissue assessment by Meyke Hermsen et al.
The Gleason score suffers from significant inter-observer variability. This problem could be solved by the fully automated deep learning system developed by Wouter Bulten and his colleagues. Their work appeared online today in The Lancet Oncology.
AIIM researchers will present theoretical results on symmetries in the CycleGAN solution space at ICLR 2020 in Addis Ababa, Ethiopia.
Researchers of the AIIMLab, Jonas Teuwen and Nikita Moriakov, and as members of the AImsterdam team won one of the subchallenges in the fastMRI challenge. The results were presented at NeurIPS in Vancouver.
The KNAW Early Career Award is intended to showcase talented PhD graduates, and to provide them with support and encouragement. The Award is aimed at researchers at the start of their career who are capable of developing innovative and original research ideas.