F. Vanobberghen, A. Keter, B. Jacobs, T. Glass, L. Lynen, I. Law, K. Murphy, B. van Ginneken, I. Ayakaka, A. van Heerden, L. Maama and K. Reither, "Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithms",
ERJ Open Research,
2023;10:00508-2023.
K. Murphy, J. Muhairwe, S. Schalekamp, B. van Ginneken, I. Ayakaka, K. Mashaete, B. Katende, A. van Heerden, S. Bosman, T. Madonsela, L. Gonzalez Fernandez, A. Signorell, M. Bresser, K. Reither and T. Glass, "COVID-19 screening in low resource settings using artificial intelligence for chest radiographs and point-of-care blood tests",
Scientific Reports,
2023;13.
W. Hendrix, N. Hendrix, E. Scholten, M. Mourits, J. Trap-de Jong, S. Schalekamp, M. Korst, M. van Leuken, B. van Ginneken, M. Prokop, M. Rutten and C. Jacobs, "Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans",
Communications Medicine,
2023;3(1):156.
H. ten Berg, B. van Bakel, L. van de Wouw, K. Jie, A. Schipper, H. Jansen, R. O'Connor, B. van Ginneken and S. Kurstjens, "ChatGPT and Generating a Differential Diagnosis Early in an Emergency Department Presentation",
Annals of Emergency Medicine,
2023.
S. Vinayahalingam, S. Kempers, J. Schoep, T. Hsu, D. Moin, B. van Ginneken, T. Flügge, M. Hanisch and T. Xi, "Intra-oral scan segmentation using deep learning",
BMC Oral Health,
2023;23.
B. Katende, M. Bresser, M. Kamele, L. Chere, M. Tlahali, R. Erhardt, J. Muhairwe, I. Ayakaka, T. Glass, M. Ruhwald, B. van Ginneken, K. Murphy, M. de Vos, A. Amstutz, M. Mareka, S. Mooko, K. Reither and L. González Fernández, "Impact of a multi-disease integrated screening and diagnostic model for COVID-19, TB, and HIV in Lesotho",
PLOS Global Public Health,
2023;3:e0001488.
K. Venkadesh, T. Aleef, E. Scholten, Z. Saghir, M. Silva, N. Sverzellati, U. Pastorino, B. van Ginneken, M. Prokop and C. Jacobs, "Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules",
Radiology,
2023;308(2):e223308.
W. Hendrix, M. Rutten, N. Hendrix, B. van Ginneken, C. Schaefer-Prokop, E. Scholten, M. Prokop and C. Jacobs, "Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals",
European Radiology,
2023.
M. Palmer, J. Seddon, M. van der Zalm, A. Hesseling, P. Goussard, H. Schaaf, J. Morrison, B. van Ginneken, J. Melendez, E. Walters and K. Murphy, "Optimising computer aided detection to identify intra-thoracic tuberculosis on chest x-ray in South African children",
PLOS Global Public Health,
2023;3:e0001799.
W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients",
Medical Image Analysis,
2023;86:102771.
W. Xie, C. Jacobs, J. Charbonnier, D. Slebos and B. van Ginneken, "Emphysema subtyping on thoracic computed tomography scans using deep neural networks",
Scientific Reports,
2023;13:14147.
C. De Vente, K. Vermeer, N. Jaccard, H. Wang, H. Sun, F. Khader, D. Truhn, T. Aimyshev, Y. Zhanibekuly, T. Le, A. Galdran, M. Ballester, G. Carneiro, R. Devika, P. Hrishikesh, D. Puthussery, H. Liu, Z. Yang, S. Kondo, S. Kasai, E. Wang, A. Durvasula, J. Heras, M. Zapata, T. Araújo, G. Aresta, H. Bogunović, M. Arikan, Y. Lee, H. Cho, Y. Choi, A. Qayyum, I. Razzak, B. Van Ginneken, H. Lemij and C. Sánchez, "AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge",
IEEE Transactions on Medical Imaging,
2023:1-1.
K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022",
European Radiology,
2023.
K. Leeuwen, M. Becks, D. Grob, F. de Lange, J. Rutten, S. Schalekamp, M. Rutten, B. van Ginneken, M. de Rooij and F. Meijer, "AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation",
Heliyon,
2023;9(8).
P. Bándi, M. Balkenhol, M. van Dijk, M. Kok, B. van Ginneken, J. van der Laak and G. Litjens, "Continual learning strategies for cancer-independent detection of lymph node metastases",
Medical Image Analysis,
2023;85:102755.
N. Hendrix, W. Hendrix, K. van Dijke, B. Maresch, M. Maas, S. Bollen, A. Scholtens, M. de Jonge, L. Ong, B. van Ginneken and M. Rutten, "Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist",
European Radiology,
2023;33:1575-1588.
G. Humpire-Mamani, C. Jacobs, M. Prokop, B. van Ginneken and N. Lessmann, "Transfer learning from a sparsely annotated dataset of 3D medical images",
arXiv:2311.05032,
2023.
G. Mamani, N. Lessmann, E. Scholten, M. Prokop, C. Jacobs and B. van Ginneken, "Kidney abnormality segmentation in thorax-abdomen CT scans",
arXiv:2309.03383,
2023.
L. Boulogne, J. Lorenz, D. Kienzle, R. Schon, K. Ludwig, R. Lienhart, S. Jegou, G. Li, C. Chen, Q. Wang, D. Shi, M. Maniparambil, D. Muller, S. Mertes, N. Schroter, F. Hellmann, M. Elia, I. Dirks, M. Bossa, A. Berenguer, T. Mukherjee, J. Vandemeulebroucke, H. Sahli, N. Deligiannis, P. Gonidakis, N. Huynh, I. Razzak, R. Bouadjenek, M. Verdicchio, P. Borrelli, M. Aiello, J. Meakin, A. Lemm, C. Russ, R. Ionasec, N. Paragios, B. van Ginneken and M. Dubois, "The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data",
arXiv:2306.10484,
2023.
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",
arXiv:2306.12217,
2023.
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",
arXiv:2302.03116,
2023.
A. Saha, J. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge",
Medical Imaging with Deep Learning,
2023.
J. Twilt, A. Saha, J. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, H. Huisman and M. de Rooij, "EAU Plenary Gamechanging Session - Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: Preliminary Results from the PI-CAI Challenge",
Annual European Association of Urology Congress,
2023.
J. Twilt, A. Saha, J. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, H. Huisman and M. de Rooij, "International Comparative Study of Artificial Intelligence and Radiologists in Clinically Significant Prostate Cancer Detection: Results From The PI-CAI Consortium",
Annual Meeting of the Society for Advanced Body Imaging,
2023.
J. Twilt, A. Saha, J. Bosma, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, H. Huisman and M. de Rooij, "Diagnostic Value of Dynamic Contrast-Enhanced MRI for the Detection of Clinically Significant Prostate Cancer in a Multi-Reader Study: Preliminary Results from the PI-CAI Consortium",
European Congress of Radiology,
2023.
A. Saha, J. Bosma, J. Twilt, B. van Ginneken, D. Yakar, M. Elschot, J. Veltman, J. Futterer, M. de Rooij and H. Huisman, "Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge",
European Congress of Radiology,
2023.