Monthly DIAG News – We are back - September

After a short summer break, we’re back with a fresh edition of the DIAG newsletter! In this issue, we’re excited to walk you through the highlights of the past weeks: welcoming many new members to our group, celebrating recent PhD defenses, and sharing our latest scientific publications. Most importantly, we’re happy to reconnect and keep you up to date with everything happening at DIAG.

New DIAG members

Since May, we’ve had the pleasure of welcoming a number of new colleagues to DIAG.

Big Achievements

We are proud to celebrate several outstanding achievements within DIAG over the past months:

  • Alessa Hering received the Fraunhofer ICT Dissertation Award 2024 for her PhD thesis on deep-learning-based image registration and tumor follow-up analysis.
  • A team of five DIAG/CPG members, Nefise Uysal, Clément Grisi, Geert Litjens, Catherine Chia, and Nadieh Khalili, successfully completed the Alpe d’HuZes challenge, together contributing to the €19 million raised for the Dutch Cancer Society.
  • Francesco Ciompi was awarded an Academic Medical Network grant to support the ENDO-AID 2.0 project, advancing AI-assisted diagnosis of endometrial pathology.
  • Henkjan Huisman was appointed Full Professor of AI Guided Imaging at Radboudumc, recognizing his leadership in developing trustworthy AI for healthcare.

Highlighted publications

Last months the following papers were published!

“ESR Essentials: lung cancer screening with low-dose CT-practice recommendations by the European Society of Thoracic Imaging.” - M. Revel, J. Biederer, A. Nair, M. Silva, C. Jacobs, A. Snoeckx, M. Prokop, H. Prosch, A. Parkar, T. Frauenfelder, A. Larici; European Radiology, 2025

“Incidental pulmonary nodules on CT imaging: what to do?” - E. van der Heijden, M. Snoeren, C. Jacobs; Nederlandsch tijdschrift voor geneeskunde, 2025

“DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge” - E. de la Rosa, M. Reyes, S. Liew, A. Hutton, R. Wiest, J. Kaesmacher, U. Hanning, A. Hakim, R. Zubal, W. Valenzuela, D. Robben, D. Sima, V. Anania, A. Brys, J. Meakin, A. Mickan, G. Broocks, C. Heitkamp, S. Gao, K. Liang, Z. Zhang, M. Siddiquee, A. Myronenko, P. Ashtari, S. Van Huffel, H. Jeong, C. Yoon, C. Kim, J. Huo, S. Ourselin, R. Sparks, A. Clèrigues, A. Oliver, X. Lladó, L. Chalcroft, I. Pappas, J. Bertels, E. Heylen, J. Moreau, N. Hatami, C. Frindel, A. Qayyum, M. Mazher, D. Puig, S. Lin, C. Juan, T. Hu, L. Boone, M. Goubran, Y. Liu, S. Wegener, F. Kofler, I. Ezhov, S. Shit, M. Petzsche, M. Müller, B. Menze, J. Wiestler; Nature Communications, 2025.

“Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis” - L. Cai, A. Pfo, R. Barr, V. Duda, Z. Alwafai, C. Balleyguier, D. Clevert, S. Fastner, C. Gomez, M. Goncalo, I. Gruber, M. Hahn, P. Kapetas, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, A. Stiebe, R. Togawa, C. Sidey-Gibbons, M. Tozaki, S. Wojcinski, J. Heil, M. Golatta; J Clin Oncol, 2025

"External Test of a Deep Learning Algorithm for Pulmonary Nodule Malignancy Risk Stratification Using European Screening Data." - N. Antonissen, K.V. Venkadesh, R. Dinnessen, E. Scholten, Z. Saghir, M. Silva, U. Pastorino, G. Sidorenkov, M. Heuvelmans, G. H. de Bock, F. M. Mohamed Hoesein, P. D. de Jong, H. Groen, R. Vliegenthart, H. Gietema, M. Prokop, Cornelia M Schaefer-Prokop, C. Jacobs; Radiology

"Artificial intelligence-based identification of thin-cap fibroatheromas and clinical outcomes: the PECTUS-AI study." - R. Volleberg, T.J. Luttikholt, R.G.A. van der Waerden, P. Cancian, J.L. van der Zande, X. Gu, J. Mol, T. Roleder, M. Prokop, C.I. Sánchez, B. van Ginneken, I. Išgum, S. Saitta, J. Thannhauser, N. van Royen; European heart journal

"Post-mortem 11.7 T DTI validation of myeloarchitectural changes in glioblastoma infiltration: Correlation with histology and PLI." - R. van den Elshout, J. Schoenmakers, A. Veltien, L. Boer, B. Küsters, G. Litjens, F.A. Meijer, A. van der Kolk, T. Scheenen, M. Wiesmann, D. Henssen; Brain research bulletin

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