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npj Breast Cancer,
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D. Peeters, N. Alves, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop and C. Jacobs, "Enhancing a deep learning model for pulmonary nodule malignancy risk estimation in chest CT with uncertainty estimation",
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N. van Nistelrooij, K. Ghoul, T. Xi, A. Saha, S. Kempers, M. Cenci, B. Loomans, T. Flügge, B. van Ginneken and S. Vinayahalingam, "Combining public datasets for automated tooth assessment in panoramic radiographs",
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L. van Eekelen, J. Spronck, M. Looijen-Salamon, S. Vos, E. Munari, I. Girolami, A. Eccher, B. Acs, C. Boyaci, G. de Souza, M. Demirel-Andishmand, L. Meesters, D. Zegers, L. van der Woude, W. Theelen, M. van den Heuvel, K. Grünberg, B. van Ginneken, J. van der Laak and F. Ciompi, "Comparing deep learning and pathologist quantification of cell-level PD-L1 expression in non-small cell lung cancer whole-slide images",
Scientific Reports,
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U. Mahmood, A. Shukla-Dave, H. Chan, K. Drukker, R. Samala, Q. Chen, D. Vergara, H. Greenspan, N. Petrick, B. Sahiner, Z. Huo, R. Summers, K. Cha, G. Tourassi, T. Deserno, K. Grizzard, J. Näppi, H. Yoshida, D. Regge, R. Mazurchuk, K. Suzuki, L. Morra, H. Huisman, S. Armato and L. Hadjiiski, "Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing",
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J. van der Graaf, M. van Hooff, C. Buckens, M. Rutten, J. van Susante, R. Kroeze, M. de Kleuver, B. van Ginneken and N. Lessmann, "Lumbar spine segmentation in MR images: a dataset and a public benchmark",
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J. van der Graaf, M. van Hooff, B. van Ginneken, M. Huisman, M. Rutten, D. Lamers, N. Lessmann and M. de Kleuver, "Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI",
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A. Vos, L. Pijnenborg, S. van Vliet, L. Kodach, F. Ciompi, R. van der Post, F. Simmer and I. Nagtegaal, "Biological background of colorectal polyps and carcinomas with heterotopic ossification: A national study and literature review",
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L. Maier-Hein, A. Reinke, P. Godau, M. Tizabi, F. Buettner, E. Christodoulou, B. Glocker, F. Isensee, J. Kleesiek, M. Kozubek, M. Reyes, M. Riegler, M. Wiesenfarth, A. Kavur, C. Sudre, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, T. Rädsch, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, M. Blaschko, M. Cardoso, V. Cheplygina, B. Cimini, G. Collins, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, R. Haase, D. Hashimoto, M. Hoffman, M. Huisman, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, A. Karthikesalingam, F. Kofler, A. Kopp-Schneider, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, P. Mattson, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, N. Rajpoot, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, M. van Smeden, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux and P. Jäger, "Metrics reloaded: recommendations for image analysis validation",
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T. Perik, N. Alves, J. Hermans and H. Huisman, "Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma",
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M. van Rijthoven, S. Obahor, F. Pagliarulo, V. den Maries, P. Schraml, H. Moch, J. van der Laak, F. Ciompi and K. Silina, "Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors",
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S. Vermorgen, T. Gelton, P. Bult, H. Kusters-Vandevelde, J. Hausnerová, K. de Van Vijver, B. Davidson, I. Stefansson, L. Kooreman, A. Qerimi, J. Huvila, B. Gilks, M. Shahi, S. Zomer, C. Bartosch, J. Pijnenborg, J. Bulten, F. Ciompi and M. Simons, "Endometrial Pipelle Biopsy Computer-Aided Diagnosis: A Feasibility Study",
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G. Solé-Guardia, M. Luijten, B. Geenen, J. Claassen, G. Litjens, F. de Leeuw, M. Wiesmann and A. Kiliaan, "Three-dimensional identification of microvascular pathology and neurovascular inflammation in severe white matter hyperintensity: a case report",
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E. Sogancioglu, B. van Ginneken, F. Behrendt, M. Bengs, A. Schlaefer, M. Radu, D. Xu, K. Sheng, F. Scalzo, E. Marcus, S. Papa, J. Teuwen, E. Scholten, S. Schalekamp, N. Hendrix, C. Jacobs, W. Hendrix, C. Sánchez and K. Murphy, "Nodule detection and generation on chest X-rays: NODE21 Challenge",
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R. Dinnessen, K. Venkadesh, D. Peeters, H. Gietema, E. Scholten, C. Schaefer-Prokop and C. Jacobs, "External validation of an AI algorithm for pulmonary nodule malignancy risk estimation on a dataset of incidentally detected pulmonary nodules",
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F. van der Graaf, N. Antonissen, Z. Saghir, M. Prokop and C. Jacobs, "External validation of the Sybil risk model as a tool to identify low-risk individuals eligible for biennial lung cancer screening",
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B. Obreja, K. Venkadesh, W. Hendrix, Z. Saghir, M. Prokop and C. Jacobs, "Deep Learning for estimating pulmonary nodule malignancy risk: How much data does AI need to reach radiologist level performance?",
European Congress of Radiology,
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T. Kohlbrandt, J. Moltz, S. Heldmann, A. Hering and J. Lellmann, "Joint Learning of Image Registration and Change Detection for Lung CT Images",
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F. Falta, C. Gro\ssbr öhmer, A. Hering, A. Bigalke and M. Heinrich, "Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B",
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