Second-place honor for short-talk Mohs AI tool during PhD retreat
Daan Geijs' short-talk on the development of a Mohs surgery AI tool was reviewed as second-best during the annual PhD retreat of RIHS.
News
Jeroen van der Laak appointed professor of Computational Pathology
From February 1, 2022, Jeroen van der Laak was appointed full professor of computational Pathology at the Radboud UMC.
PhD defense Wouter Bulten
Wouter Bulten succesfully defended his PhD thesis titled 'Artificial intelligence as a digital fellow in pathology: human-machine synergy for improved prostate cancer diagnosis.' on the 28th of January.
Results of the PANDA challenge published in Nature Medicine
After two years of hard work, the final results of PANDA Challenge on AI for prostate cancer grading are published!
ERC Starting Grant for Geert Litjens
The European Research Council awarded Geert Litjens with a grant for his project "AIS-CaP: Interpretable Artificial Intelligence across Scales for Next-Generation Cancer Prognostics".
DKF Kolff+ Success Accelerator Grant for improved kidney transplant diagnostics using AI
The DKF awarded the grant to CPG’s Meyke Hermsen, Dominique van Midden, and Jeroen van der Laak for their proposal to use AI for improved histopathologic kidney biopsy assessment.
Francesco Ciompi and Chella van der Post receive Hanarth Foundation grant to improve detection of diffuse gastric cancer
Francesco Ciompi and Chella van der Post have been awarded 400,000 euros for the execution of their project aimed to develop AI solutions for improving DGC diagnostics.
New start-up Aiosyn will bring AI research into pathology diagnostics
CPG launches new spin-off, Aiosyn, to accelerate the implementation of AI in Pathology
Geert Litjens receives VIDI grant to build an AI bridge between pathology and radiology
Geert Litjens has been awarded a Vidi grant worth 800,000 euros by the Dutch Research Council. He will investigate AI solutions for prostate cancer by combining radiology and pathology images.
PhD defense David Tellez
David Tellez succesfully defended his PhD thesis with the title 'Advancing computational pathology with deep learning: from patches to gigapixel image-level classification'.