A. Schipper, P. Belgers, R. O'Connor, K. Jie, R. Dooijes, J.S. Bosma, S. Kurstjens, R. Kusters, B. van Ginneken and M. Rutten, "Machine-learning based prediction of appendicitis for patients presenting with acute abdominal pain at the emergency department",
World Journal of Emergency Surgery,
2024;19.
T. Flügge, S. Vinayahalingam, N. van Nistelrooij, S. Kellner, T. Xi, B. van Ginneken, S. Bergé, M. Heiland, F. Kernen, U. Ludwig and K. Odaka, "Automated Tooth Segmentation in Magnetic Resonance Scans Using Deep Learning",
Dentomaxillofacial Radiology,
2024.
N. van Nistelrooij, E. Chaves, M. Cenci, L. Cao, B. Loomans, T. Xi, K. El-Ghoul, V. Romero, G. Lima, T. Flügge, B. van Ginneken, M. Huysmans, S. Vinayahalingam and F. Mendes, "Deep learning-based algorithm for staging secondary caries in bitewings",
Caries Research,
2024:1-21.
J. Twilt, A. Saha, J.S. Bosma, B. van Ginneken, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Rusu, O. Rouviè, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, N. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. Fütterer, H. Huisman and M. de Rooij, "Evaluating Biparametric Versus Multiparametric Magnetic Resonance Imaging for Diagnosing Clinically Significant Prostate Cancer: An International, Paired, Noninferiority, Confirmatory Observer Study",
European Urology,
2024.
J. van der Graaf, L. Brundel, M. van Hooff, M. de Kleuver, N. Lessmann, B. Maresch, M. Vestering, J. Spermon, B. van Ginneken and M. Rutten, "AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images",
European Radiology,
2024.
C. de Vente, B. van Ginneken, C. Hoyng, C. Klaver and C. Sánchez, "Uncertainty-aware multiple-instance learning for reliable classification: Application to optical coherence tomography",
Medical Image Analysis,
2024;97:103259.
N. van Nistelrooij, S. Schitter, P. van Lierop, K. Ghoul, D. König, M. Hanisch, A. Tel, T. Xi, D. Thiem, R. Smeets, L. Dubois, T. Flügge, B. van Ginneken, S. Bergé and S. Vinayahalingam, "Detecting Mandible Fractures in CBCT Scans Using a 3-Stage Neural Network",
Journal of Dental Research,
2024.
A. Saha, J.S. Bosma, J. Twilt, B. van Ginneken, A. Bjartell, A. Padhani, D. Bonekamp, G. Villeirs, G. Salomon, G. Giannarini, J. Kalpathy-Cramer, J. Barentsz, K. Maier-Hein, M. Rusu, O. Rouviere, R. van den Bergh, V. Panebianco, V. Kasivisvanathan, N. Obuchowski, D. Yakar, M. Elschot, J. Veltman, J. Futterer, C. Noordman, I. Slootweg, C. Roest, S. Fransen, M. Sunoqrot, T. Bathen, D. Rouw, J. Immerzeel, J. Geerdink, C. van Run, M. Groeneveld, J. Meakin, A. Karagoz, A. Bone, A. Routier, A. Marcoux, C. Abi-Nader, C. Li, D. Feng, D. Alis, E. Karaarslan, E. Ahn, F. Nicolas, G. Sonn, I. Bhattacharya, J. Kim, J. Shi, H. Jahanandish, H. An, H. Kan, I. Oksuz, L. Qiao, M. Rohe, M. Yergin, M. Khadra, M. Seker, M. Kartal, N. Debs, R. Fan, S. Saunders, S. Soerensen, S. Moroianu, S. Vesal, Y. Yuan, A. Malakoti-Fard, A. Maciunien, A. Kawashima, A. de de Machadov, A. Moreira, A. Ponsiglione, A. Rappaport, A. Stanzione, A. Ciuvasovas, B. Turkbey, B. de Keyzer, B. Pedersen, B. Eijlers, C. Chen, C. Riccardo, D. Alis, E. Courrech Staal, F. Jaderling, F. Langkilde, G. Aringhieri, G. Brembilla, H. Son, H. Vanderlelij, H. Raat, I. Pikuniene, I. Macova, I. Schoots, I. Caglic, J. Zawaideh, J. Wallstrom, L. Bittencourt, M. Khurram, M. Choi, N. Takahashi, N. Tan, P. Franco, P. Gutierrez, P. Thimansson, P. Hanus, P. Puech, P. Rau, P. de Visschere, R. Guillaume, R. Cuocolo, R. Falcao, R. van Stiphout, R. Girometti, R. Briediene, R. Grigiene, S. Gitau, S. Withey, S. Ghai, T. Penzkofer, T. Barrett, V. Tammisetti, V. Logager, V. Cerny, W. Venderink, Y. Law, Y. Lee, M. de Rooij and H. Huisman, "Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study",
The Lancet Oncology,
2024;25(7):879-887.
S. Schalekamp, K. van Leeuwen, E. Calli, K. Murphy, M. Rutten, B. Geurts, L. Peters-Bax, B. van Ginneken and M. Prokop, "Performance of AI to exclude normal chest radiographs to reduce radiologists' workload",
European Radiology,
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A. Scott, M. Limbada, T. Perumal, S. Jaumdally, A. Kotze, C. van der Merwe, M. Cheeba, D. Milimo, K. Murphy, B. van Ginneken, M. de Kock, R. Warren, P. Gina, J. Swanepoel, L. Kühn, S. Oelofse, A. Pooran, A. Esmail, H. Ayles and K. Dheda, "Integrating molecular and radiological screening tools during community-based active case-finding for tuberculosis and COVID-19 in southern Africa",
International Journal of Infectious Diseases,
2024:107081.
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 and M. Rutten, "Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs",
European Radiology,
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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",
BMC Oral Health,
2024;24.
V. Eekelen, Leander, 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,
2024;14.
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",
IEEE Transactions on Medical Imaging,
2024;43(8):2839-2853.
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",
Scientific Data,
2024;11(1):264.
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",
European Radiology,
2024:1-10.
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",
Nature Methods,
2024;21:195-212.
A. Reinke, M. Tizabi, M. Baumgartner, M. Eisenmann, D. Heckmann-Nötzel, A. Kavur, T. Rädsch, C. Sudre, L. Acion, M. Antonelli, T. Arbel, S. Bakas, A. Benis, F. Buettner, M. Cardoso, V. Cheplygina, J. Chen, E. Christodoulou, B. Cimini, K. Farahani, L. Ferrer, A. Galdran, B. van Ginneken, B. Glocker, P. Godau, D. Hashimoto, M. Hoffman, M. Huisman, F. Isensee, P. Jannin, C. Kahn, D. Kainmueller, B. Kainz, A. Karargyris, J. Kleesiek, F. Kofler, T. Kooi, A. Kopp-Schneider, M. Kozubek, A. Kreshuk, T. Kurc, B. Landman, G. Litjens, A. Madani, K. Maier-Hein, A. Martel, E. Meijering, B. Menze, K. Moons, H. Müller, B. Nichyporuk, F. Nickel, J. Petersen, S. Rafelski, N. Rajpoot, M. Reyes, M. Riegler, N. Rieke, J. Saez-Rodriguez, C. Sánchez, S. Shetty, R. Summers, A. Taha, A. Tiulpin, S. Tsaftaris, B. Van Calster, G. Varoquaux, Z. Yaniv, P. Jäger and L. Maier-Hein, "Understanding metric-related pitfalls in image analysis validation",
Nature Methods,
2024;21:182-194.
L. Boulogne, J. Charbonnier, C. Jacobs, E. van der Heijden and B. van Ginneken, "Estimating lung function from computed tomography at the patient and lobe level using machine learning",
Medical Physics,
2024;51:2834-2845.
D. Schouten, J. van der Laak, B. van Ginneken and G. Litjens, "Full resolution reconstruction of whole-mount sections from digitized individual tissue fragments",
Scientific Reports,
2024;14.
K. van Leeuwen, S. Schalekamp, M. Rutten, M. Huisman, C. Schaefer-Prokop, M. de Rooij, B. van Ginneken, B. Maresch, B. Geurts, C. van Dijke, E. Laupman-Koedam, E. Hulleman, E. Verhoeff, E. Meys, F. Mohamed Hoesein, F. ter Brugge, F. van Hoorn, F. van der Wel, I. van den Berk, J. Luyendijk, J. Meakin, J. Habets, J. Verbeke, J. Nederend, K. Meys, L. Deden, L. Langezaal, M. Nasrollah, M. Meij, M. Boomsma, M. Vermeulen, M. Vestering, O. Vijlbrief, P. Algra, S. Algra, S. Bollen, T. Samson, Y. von Brucken Fock, B. Maresch, B. Geurts, C. van Dijke, E. Laupman-Koedam, E. Hulleman, E. Verhoeff, E. Meys, F. Mohamed Hoesein, F. ter Brugge, F. van Hoorn, F. van der Wel, I. van den Berk, J. Luyendijk, J. Meakin, J. Habets, J. Verbeke, J. Nederend, K. Meys, L. Deden, L. Langezaal, M. Nasrollah, M. Meij, M. Boomsma, M. Vermeulen, M. Vestering, O. Vijlbrief, P. Algra, S. Algra, S. Bollen, T. Samson, Y. von Brucken Fock and F. the Group, "Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction",
Radiology,
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F. Bolelli, L. Lumetti, S. Vinayahalingam, M. Bartolomeo, A. Pellacani, K. Marchesini, N. Van Nistelrooij, P. Van Lierop, T. Xi, Y. Liu, R. Xin, T. Yang, L. Wang, H. Wang, C. Xu, Z. Cui, M. Wodzinski, H. Müller, Y. Kirchhoff, M. Rokuss, K. Maier-Hein, J. Han, W. Kim, H. Ahn, T. Szczepanski, M. Grzeszczyk, P. Korzeniowski, V. Ballester, X. Burgos-Artizzu, F. Carrasco, S. Berge, B. Van Ginneken, A. Anesi and C. Grana, "Segmenting the Inferior Alveolar Canal in CBCTs Volumes: the ToothFairy Challenge",
IEEE Transactions on Medical Imaging,
2024:1-1.
S. Bosman, I. Ayakaka, J. Muhairwe, M. Kamele, A. van Heerden, T. Madonsela, N. Labhardt, G. Sommer, J. Bremerich, T. Zoller, K. Murphy, B. van Ginneken, A. Keter, B. Jacobs, M. Bresser, A. Signorell, T. Glass, L. Lynen and K. Reither, "Evaluation of C-Reactive Protein and Computer-Aided Analysis of Chest X-rays as Tuberculosis Triage Tests at Health Facilities in Lesotho and South Africa",
Clinical Infectious Diseases,
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W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Structure and position-aware graph neural network for airway labeling",
Medical Image Analysis,
2024;97:103286.
H. Häntze, L. Xu, F. Dorfner, L. Donle, D. Truhn, H. Aerts, M. Prokop, B. van Ginneken, A. Hering, L. Adams and K. Bressem, "MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences",
arXiv:2405.06463,
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N. Hendrix, "Artificial Intelligence for Computer Aided Diagnosis of Scaphoid Fractures and Associated Instability on Conventional Radiography",
PhD thesis,
2024.