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.
The first two Nijmegen-based labs of the nationwide Innovation Center of Artifical Intelligence (ICAI) were opened this Monday by Radboudumc's Chair of the Executive Board, Paul Smits.
Researchers of the Radboud University, the Radboud University Medical Center and ScreenPoint Medical gathered this week to kick-off the European EFRO project MARBLE.
Meyke Hermsen et al present the first multi-class segmentation network for the histopathological analysis of renal tissue. Their work was published online yesterday by the Journal of the American Society of Nephrology.
David Tellez et al present a new method to train neural networks on gigapixel whole-slide images directly, avoiding the need for fine-grained annotations. Their work appeared online yesterday in IEEE TPAMI.
Mehmet Dalmis will defend his PhD thesis with the title' Automated Analysis of Breast MRI: from Traditional Methods into Deep Learning' the 12th of September at 12.30.