Monthly DIAG News - April
Awards and grants
- Kiran Vaidhya Venkadesh has been selected as a fellow in the 2023 Life Sciences & Health round of the NWO research program Faculty of Impact. Read more about this achievement in this news item.
Upcoming events
Stay tuned for upcoming events where our team will be presenting our research findings and engaging with the broader medical imaging community. Here are some events to mark on your calendar:
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DIAG Day May 15th – Hunted the Game: For this upcoming DIAG Day, we have an exciting activity planned: the DIAG Hunted! Picture this: two teams, thieves and hunters, engaged in a thrilling chase through the city center of Nijmegen. The objective? For thieves to snatch as many diamonds as possible while evading the relentless pursuit of the hunters. The game relies entirely on GPS locations, adding an extra layer of excitement. Don’t forget to sign up!
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These DIAG members will soon be defending their theses:
- John-Melle Bokhorst: May 7th, 10:30h, Aula of Radboud University | Hidden in plain sight
- Tariq Haddad: May 7th, 14:30h, Aula of Radboud University | Tumor budding: a dive into the edge of colorectal cancer invasion
- Nils Hendrix: May 17th, 13:30h, Tilburg University | Artificial intelligence for computer aided diagnosis of scaphoid fractures and associated instability on conventional radiography
- Bram de Wilde: May 22nd, 10:30h, Aula of Radboud University | AI-assisted detection of adhesions on cine-MRI
- Kiran Vaidhya Venkadesh: May 23rd, 12:30h, Aula of Radboud University | Artificial intelligence for lung cancer screening
Stay tuned for more exciting updates in the months ahead!
Highlighted publications
We are excited to share some of our recent publications!
← Back to overview"Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences" - S. Fransen, C. Roest, Q. van Lohuizen, J. Bosma, F. Simonis, T. Kwee, D. Yakar, H. Huisman; Eur J Radiol. 2024.
"Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs" - N. Hendrix, W. Hendrix, B. Maresch, J. van Amersfoort, T. Oosterveld-Bonsma, S. Kolderman, M. Vestering, S. Zielinski, K. Rutten, J. Dammeier, L. Ong, B. van Ginneken, M. Rutten; Eur Radio. 2024.
"Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy" - A. Moradi, F. Zerka, J. Bosma, D. Yakar, J. Geerdink, H. Huisman, T. Bathen, M. Elschot; SPIE 2024.