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Fully Automated 3D Vestibular Schwannoma Segmentation with and without Gadolinium-based Contrast Material: A Multicenter, Multivendor Study2022 Radiology Artificial Intelligence article Neuroscience Brain Tumor Detection and Classification Open access
Olaf M. Neve, Yunjie Chen, Qian Tao, Stephan R. Romeijn, Nick P. de Boer, Willem Grootjans, +6 more
42citations -
Automated Brain Tumor Detection and Segmentation for Treatment Response Assessment Using Amino Acid PET2023 Journal of Nuclear Medicine article Neuroscience Brain Tumor Detection and Classification Open access
Robin Gutsche, Carsten Lowis, K. Ziemons, Martin Köcher, Garry S. Ceccon, Cláudia Régio Brambilla, +5 more
30citations -
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge2025 The Journal of Machine Learning for Biomedical Imaging article Neuroscience Brain Tumor Detection and Classification Open access
Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Pierre Nedelec, Nourel Hoda Tahon, +89 more
11citations -
Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge2024 arXiv (Cornell University) preprint Neuroscience Brain Tumor Detection and Classification Open access
Dominic LaBella, Adrià Casamitjana, Behrus Puladi, Katherine M. Schumacher, Michael D. Mix, Kevin Leu, +54 more
7citations -
Vestibular Schwannoma Growth Prediction from Longitudinal MRI by Time-Conditioned Neural Fields2024 Lecture notes in computer science conference-paper Neuroscience Brain Tumor Detection and Classification Open access
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik Frans Hensen, +2 more
5citations -
Generalisation of Segmentation Using Generative Adversarial Networks2024 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Neuroscience Brain Tumor Detection and Classification
André Filipe Ferreira, Gijs Luijten, Behrus Puladi, Jens Kleesiek, Victor Alves, Jan Egger
3citations -
OS02.6.A MICCAI BRAIN TUMOR SEGMENTATION - METASTASES (BRATS-METS) 2025 LIGHTHOUSE CHALLENGE: COMPETITIVE ENVIRONMENT FOR THE DEVELOPMENT OF ROBUST AUTOMATIC SEGMENTATION ALGORITHMS FOR PRE- AND POST-TREATMENT BRAIN METASTASES2025 Neuro-Oncology conference-abstract Neuroscience Brain Tumor Detection and Classification Open access
Nikolay Yordanov, Raisa Amiruddin, Ahmed W. Moawad, Athanasios Gkampenis, Pascal Fehringer, Fabian Umeh, +14 more
0citations -
Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields2024 arXiv (Cornell University) preprint Neuroscience Brain Tumor Detection and Classification Open access
Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik Frans Hensen, +2 more
0citations -
78P Voxel-wise quantification of MRI signal intensity changes in brain tumor response assessment using all-resolutions inference2025 ESMO Real World Data and Digital Oncology article Neuroscience Brain Tumor Detection and Classification Open access
Alex L. T. Imholz, R.G.H. Beets-Tan, Jelle J. Goeman, Stefano Trebeschi
0citations
16 results