Radboud Imaging Publications

most cited

Accepted or to appear

  1. N. Lessmann, P.A. de Jong, C. Celeng, R.A.P. Takx, M.A. Viergever, B. van Ginneken and I. Išgum. "Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers", JACC Cardiovascular Imaging. Abstract/PDF DOI PMID 30660540

  2. R.J. Becks, R. Manniesing, J. Vister, S. Pegge, S.C. Steens, E.J. van Dijk, M. Prokop and F.J. Meijer. "Brain CT Perfusion Improves Intracranial Vessel Occlusion Detection on CT Angiography", Journal of Neuroradiology. Abstract/PDF DOI PMID 29625153

  3. M.U. Dalmış, A. Gubern-Merida, S. Vreemann, P. Bult, N. Karssemeijer, R. Mann and J. Teuwen. "Artificial Intelligence Based Classification of Breast Lesions Imaged With a Multi-Parametric Breast MRI Protocol With ultrafast DCE-MRI, T2 and DWI", Investigative Radiology. Abstract/PDF DOI PMID 30652985

  4. G. Marra, G. Ploussard, J. Futterer, M. Valerio and E.-Y.P.C.W. Party. "Controversies in MR targeted biopsy: alone or combined, cognitive versus software-based fusion, transrectal versus transperineal approach?", World journal of urology. Abstract DOI PMID 30610359

  5. G. Napolitano, E. Lynge, M. Lillholm, I. Vejborg, C.H. van Gils, M. Nielsen and N. Karssemeijer. "Change in mammographic density across birth cohorts of Dutch breast cancer screening participants", International Journal of Cancer. Abstract/PDF DOI PMID 30762225


2019

  1. A. Schreuder, C. Jacobs, L. Gallardo-Estrella, M. Prokop, C.M. Schaefer-Prokop and B. van Ginneken. "Predicting all-cause and lung cancer mortality using emphysema score progression rate between baseline and follow-up chest CT images: A comparison of risk model performances", PLoS One 2019;14:e0212756. Abstract/PDF DOI PMID 30789954

  2. N. Lessmann, B. van Ginneken, P.A. de Jong and I. Išgum. "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", Medical Image Analysis 2019;53:142-155. Abstract/PDF DOI arXiv PMID 30771712

  3. B. van Ginneken. "Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?", Radiology 2019;290:545-546. PDF DOI PMID 30422089

  4. M. Tammemagi, A.J. Ritchie, S. Atkar-Khattra, B. Dougherty, C. Sanghera, J.R. Mayo, R. Yuan, D. Manos, A.M. McWilliams, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, J.M.Seely, P. Burrowes, R. Bhatia, E.A.Haider, C. Boylan, C. Jacobs, B. van Ginneken, M.-S. Tsao, S. Lam and the Pan-Canadian Early Detection of Lung Cancer Study Group. "Predicting Malignancy Risk of Screen Detected Lung Nodules – Mean Diameter or Volume", Journal of Thoracic Oncology 2019;14:203-211. Abstract/PDF DOI PMID 30368011

  5. S. Balocco, F. Ciompi, J. Rigla, X. Carrillo, J. Mauri and P. Radeva. "Assessment Of Intra-coronary Stent Location And Extension In Intravascular Ultrasound Sequences", Medical Physics 2019;46(2):484-493. Abstract/PDF DOI PMID 30383304

  6. W. Bulten, P. Bándi, J. Hoven, R. van de Loo, J. Lotz, N. Weiss, J. van der Laak, B. van Ginneken, C. Hulsbergen-van de Kaa and G. Litjens. "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard", Nature Scientific Reports 2019;9(864). Abstract/PDF DOI PMID 30696866

  7. J.-P. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, B. Make, E. Regan, J.D. Crapo, E.M. van Rikxoort and D.A. Lynch. "Airway wall thickening on CT: Relation to smoking status and severity of COPD", Respiratory Medicine 2019;146:36-41. Abstract/PDF DOI PMID 30665516

  8. O. Geessink, A. Baidoshvili, J. Klaase, B. Ehteshami Bejnordi, G. Litjens, G. van Pelt, W. Mesker, I. Nagtegaal, F. Ciompi and J. van der Laak. "Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer", Cellular Oncology 2019:1-11. Abstract/PDF DOI PMID 30825182

  9. P.C.M. Herpers, M.J. Bakker-Huvenaars, C.U. Greven, E.C. Wiegers, K.S. Nijhof, A.N. Baanders, J.K. Buitelaar and N.N.J. Rommelse. "Emotional valence detection in adolescents with oppositional defiant disorder/conduct disorder or autism spectrum disorder", European child & adolescent psychiatry 2019. Abstract DOI PMID 30680520

  10. T.L.A. van den Heuvel, H. Petros, S. Santini, C.L. de Korte and B. van Ginneken. "Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries", Ultrasound in Medicine and Biology 2019;45(3):773-785. Abstract/PDF DOI PMID 30573305

  11. A. Kluytmans, J.J. Fütterer, M. Emberton, M. Sedelaar and J. Grutters. "Exploring the risk-reward balance in focal therapy for prostate cancer-a contribution to the debate", Prostate cancer and prostatic diseases 2019. Abstract DOI PMID 30664735

  12. A. van Luijtelaar, B.M. Greenwood, H.U. Ahmed, A.B. Barqawi, E. Barret, J.G.R. Bomers, M.A. Brausi, P.L. Choyke, M.R. Cooperberg, S. Eggener, J.F. Feller, F. Frauscher, A.K. George, R.G. Hindley, S.F.M. Jenniskens, L. Klotz, G. Kovacs, U. Lindner, S. Loeb, D.J. Margolis, L.S. Marks, S. May, T.D. Mcclure, R. Montironi, S.G. Nour, A. Oto, T.J. Polascik, A.R. Rastinehad, T.M. De Reyke, J.S. Reijnen, J.J.M.C.H. de la Rosette, J.P.M. Sedelaar, D.S. Sperling, E.M. Walser, J.F. Ward, A. Villers, S. Ghai and J.J. Fütterer. "Focal laser ablation as clinical treatment of prostate cancer: report from a Delphi consensus project", World journal of urology 2019. Abstract DOI PMID 30671638

  13. F.J.A. Meijer, J.D. Schuijf, J. de Vries, H.D. Boogaarts, W.-J. van der Woude and M. Prokop. "Ultra-high-resolution subtraction CT angiography in the follow-up of treated intracranial aneurysms", Insights into imaging 2019;10:2. Abstract DOI PMID 30689062

  14. R.C. Nelissen, J. Honings, F.J.A. Meijer, H.P.M. Kunst and K.J.A.O. Ingels. "[Consider the diagnosis 'Bell's palsy' carefully]", Nederlands tijdschrift voor geneeskunde 2019;163. Abstract PMID 30698366

  15. S.J. van Riel, C. Jacobs, E.T. Scholten, R. Wittenberg, M.M. Winkler Wille, B. de Hoop, R. Sprengers, O.M. Mets, B. Geurts, M. Prokop, C. Schaefer-Prokop and B. van Ginneken. "Observer variability for Lung-RADS categorisation of lung cancer screening CTs: impact on patient management", European Radiology 2019;29(2):924-931. Abstract/PDF DOI PMID 30066248

  16. A. Rodriguez-Ruiz, K. Lang, A. Gubern-Merida, M. Broeders, G. Gennaro, P. Clauser, T. Helbich, M. Chevalier, T. Tan, T. Mertelmeier, M. Wallis, Andersson I, S. Zackrisson, R. Mann and I. Sechopoulos. "Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists", JNCI 2019. Abstract DOI

  17. E.A.J. de Savornin Lohman, T.J.J. de Bitter, C.J.H.M. van Laarhoven, J.J. Hermans, R.J. de Haas and P.R. de Reuver. "The diagnostic accuracy of CT and MRI for the detection of lymph node metastases in gallbladder cancer: A systematic review and meta-analysis.", European journal of radiology 2019;110:156-162. Abstract DOI PMID 30599854

  18. R.W. Ten Broek, A. Eijkelenboom, C.J.M. van der Vleuten, E.J. Kamping, M. Kets, B.H. Verhoeven, K. Grünberg, L.J. Schultze Kool, B.B.J. Tops, M.J.L. Ligtenberg and U. Flucke. "Comprehensive molecular and clinicopathological analysis of vascular malformations: a study of 319 cases", Genes, chromosomes & cancer 2019. Abstract DOI PMID 30677207