Publications

Accepted or to appear

Papers in international journals

  1. M.T.H. Oei, F.J. Meijer, W.-J. van der Woude, E.J. Smit, B. van Ginneken, M. Prokop and R. Manniesing. "Interleaving Cerebral CT Perfusion with Neck CT Angiography. Part I: Proof of Concept and Accuracy of Cerebral Perfusion Values", European Radiology. Abstract/PDF DOI PMID 27718078

  2. W. Venderink, M. de Rooij, M.J. Sedelaar, H.J. Huisman and J.J. Futterer. "Elastic versus rigid image registration in MRI-TRUS fusion prostate biopsy: a systematic review and meta-analysis", European Urology Focus. DOI


2016

Papers in international journals

  1. E. Lens, A.N. Kotte, A. Patel, H.D. Heerkens, M. Bal, G. van Tienhoven, A. Bel, A. van der Horst and G.J. Meijer. "Probabilistic treatment planning for pancreatic cancer treatment: prospective incorporation of respiratory motion shows only limited dosimetric benefit", Acta Oncologica 2016:1-7. PDF DOI PMID 27885864

  2. M. Pompe, E. van Rikxoort, O. Mets, J. Charbonnier, J. Kuhnigk, H. de Koning, M. Oudkerk, R. Vliegenthart, P. Zanen, J. Lammers, B. van Ginneken, P. de Jong and F. Mohamed Hoesein. "Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliability", European Journal of Radiology 2016;85:2008-2013. Abstract/PDF DOI PMID 27776653

  3. M. Ghafoorian, N. Karssemeijer, I.W.M. van Uden, F.-E. de Leeuw, T. Heskes, E. Marchiori and B. Platel. "Automated Detection of White Matter Hyperintensities of All Sizes in Cerebral Small Vessel Disease", Medical Physics 2016;43(12):6246-6258. Abstract/PDF DOI PMID 27908171

  4. B. Ehteshami Bejnordi, M. Balkenhol, G. Litjens, R. Holland, P. Bult, N. Karssemeijer and J. van der Laak. "Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images", IEEE Transactions on Medical Imaging 2016;35(9):2141-2150. Abstract/PDF DOI PMID 27076354

  5. R. Remark, T. Merghoub, N. Grabe, G. Litjens, D. Damotte, J.D. Wolchok, M. Merad and S. Gnjatic. "In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide", Science Immunology 2016;1(1):aaf6925-aaf6925. Abstract/PDF DOI

  6. T.D. Koster, E.M. van Rikxoort, R.-H. Huebner, F. Doellinger, K. Klooster, J. Charbonnier, S. Radhakrishnan, F.J.F. Herth and D.-J. Slebos. "Predicting Lung Volume Reduction after Endobronchial Valve Therapy Is Maximized Using a Combination of Diagnostic Tools", Respiration 2016;92:150-7. Abstract/PDF DOI PMID 27577190

  7. T.T.J.P. Kockelkorn, P.A. de Jong, C.M. Schaefer-Prokop, R. Wittenberg, A.M. Tiehuis, H.A. Gietema, J.C. Grutters, M.A. Viergever and B. van Ginneken. "Semi-automatic classification of textures in thoracic CT scans", Physics in Medicine and Biology 2016;61(16):5906-5924. Abstract/PDF DOI PMID 27436568

  8. R.M. Arntz, S. van den Broek, I.W. van Uden, M. Ghafoorian, B. Platel, L.C. Rutten-Jacobs, N.A. Maaijwee, P. Schaapsmeerders, H.C. Schoonderwaldt, E.J. van Dijk and F. de Leeuw. "Accelerated development of cerebral small vessel disease in young stroke patients", Neurology 2016. Abstract/PDF DOI PMID 27521431

  9. K. Holland, J. van Zelst, G.J. den Heeten, M. Imhof-Tas, R.M. Mann, C.H. van Gils and N. Karssemeijer. "Consistency of breast density categories in serial screening mammograms: A comparison between automated and human assessment.", Breast 2016;29:49-54. Abstract/PDF DOI PMID 27420382

  10. T.L.A. van den Heuvel, A.W. van der Eerden, R. Manniesing, M. Ghafoorian, T. Tan, T.M.J.C. Andriessen, T.V. Vyvere, L. van den Hauwe, B.M. ter Haar Romeny, B.M. Goraj and B. Platel. "Automated detection of cerebral microbleeds in patients with Traumatic Brain Injury", NeuroImage: Clinical 2016;12:241 - 251. Abstract/PDF DOI PMID 27489772

  11. T. Kobus, J.A.W.M. van der Laak, M.C. Maas, T. Hambrock, C.C. Bruggink, C.A. Hulsbergen-van de Kaa, T.W.J. Scheenen and A. Heerschap. "Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate", Radiology 2016;278(3):801-811. Abstract/PDF DOI PMID 26418614

  12. R. Busch, M.K. Han, R.P. Bowler, M.T. Dransfield, J.M. Wells, E.A. Regan, C.P. Hersh and COPDGene Investigators. "Risk factors for COPD exacerbations in inhaled medication users: the COPDGene study biannual longitudinal follow-up prospective cohort", BMC Pulmonary Medicine 2016;16:28. Abstract/PDF DOI PMID 26861867

  13. H. Greenspan, R.M. Summers and B. van Ginneken. "Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique", IEEE Transactions on Medical Imaging 2016;35(5):1153-1159. PDF DOI Citations found: 58

  14. E. Pompe, P.A. de Jong, E.M. van Rikxoort, L. Gallardo Estrella, W.U. de Jong, R. Vliegenthart, M. Oudkerk, C.M. van der Aalst, B. van Ginneken, J.-W.J. Lammers and F.A. Mohamed Hoesein. "Smokers with emphysema and small airway disease on computed tomography have lower bone density", International Journal of Chronic Obstructive Pulmonary Disease 2016;11:1207-1216. Abstract/PDF DOI PMID 27354779

  15. T. Tan, A. Gubern-Mérida, C. Borelli, R. Manniesing, J. van Zelst, L. Wang, W. Zhang, B. Platel, R.M. Mann and N. Karssemeijer. "Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model", Medical Physics 2016;43(7):4074-4084. Abstract/PDF DOI PMID 27370126

  16. G. Litjens, C.I. Sanchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. Hulsbergen-van de Kaa, P. Bult, B. van Ginneken and J. van der Laak. "Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis", Nature Scientific Reports 2016;6:26286. Abstract/PDF DOI PMID 27212078

  17. J.G. Cohen, J.M. Goo, R.-E. Yoo, S.B. Park, B. van Ginneken, G.R. Ferretti, C.H. Lee and C.M. Park. "The effect of late-phase contrast enhancement on semi-automatic software measurements of CT attenuation and volume of part-solid nodules in lung adenocarcinomas", European Journal of Radiology 2016;85(6):1174-1180. Abstract/PDF DOI PMID 27161068

  18. J. Melendez, C.I. Sanchez, R.H.H.M. Philipsen, P. Maduskar, R. Dawson, G. Theron, K. Dheda and B. van Ginneken. "An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information", Nature Scientific Reports 2016;6:25265. Abstract/PDF DOI PMID 27126741

  19. J.D. Hoffman, M.J.J.P. van Grinsven, C. Li, M. Brantley, Jr, J. McGrath, A. Agarwal, W.K. Scott, S.G. Schwartz, J. Kovach, M. Pericak-Vance, C.I. Sanchez and J.L. Haines. "Genetic Association Analysis of Drusen Progression", Investigative Ophthalmology and Visual Science 2016;57(4):2225-2231. Abstract/PDF DOI PMID 27116550

  20. J.G. Cohen, J.M. Goo, R.-E. Yoo, C.M. Park, C.H. Lee, B. van Ginneken, D.H. Chung and Y.T. Kim. "Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas", European Radiology 2016;26(12):4465-4474. Abstract/PDF DOI PMID 27048527

  21. B. Ehteshami Bejnordi, G. Litjens, N. Timofeeva, I. Otte-Holler, A. Homeyer, N. Karssemeijer and J. van der Laak. "Stain specific standardization of whole-slide histopathological images", IEEE Transactions on Medical Imaging 2016;35(2):404-415. Abstract/PDF DOI PMID 26353368

  22. R. Manniesing, C. Brune, B. van Ginneken and M. Prokop. "A 4D CT Digital Phantom of an Individual Human Brain for Perfusion Analysis", PeerJ 2016;4:e2683. Abstract/PDF DOI PMID 27917312

  23. O.M. Mets, P.A. de Jong, K. Chung, J.-W.J. Lammers, B. van Ginneken and C.M. Schaefer-Prokop. "Fleischner recommendations for the management of subsolid pulmonary nodules: high awareness but limited conformance - a survey study", European Radiology 2016;26:3840-3849. Abstract/PDF DOI PMID 26945759

  24. A.J. Ritchie, C. Sanghera, C. Jacobs, W. Zhang, J. Mayo, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J.M. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tammemagi, M.S. Tsao, S. Lam and the Pan-Canadian Early Detection of Lung Cancer Study Group. "Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT Scans", Journal of Thoracic Oncology 2016;11:709-717. Abstract/PDF DOI PMID 26994641

  25. M. Kallenberg, K. Petersen, M. Nielsen, A. Ng, P. Diao, C. Igel, C. Vachon, K. Holland, N. Karssemeijer and M. Lillholm. "Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring", IEEE Transactions on Medical Imaging 2016;35:1322-1331. Abstract/PDF DOI PMID 26915120

  26. C.L. de Korte, S. Fekkes, A.J. Nederveen, R. Manniesing and H. Hansen. "Review: Mechanical Characterization of Carotid Arteries and Atherosclerotic Plaques", IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control 2016;63(10):1613-1623. Abstract/PDF DOI PMID 27249826

  27. J.-J. Mordang, A. Gubern-Mérida, G. den Heeten and N. Karssemeijer. "Reducing false positives of microcalcification detection systems by removal of breast arterial calcifications", Medical Physics 2016;43(4):1676-1687. Abstract/PDF DOI PMID 27036566

  28. A.A.A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M.W. Wille, M. Naqibullah, C. Sanchez and B. van Ginneken. "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks", IEEE Transactions on Medical Imaging 2016;35(5):1160-1169. Abstract/PDF DOI PMID 26955024 Citations found: 17

  29. M.J.J.P. van Grinsven, B. van Ginneken, C.B. Hoyng, T. Theelen and C.I. Sánchez.. "Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images", IEEE Transactions on Medical Imaging 2016;35(5):1273-1284. Abstract/PDF DOI PMID 26886969 Citations found: 18

  30. S. Schalekamp, N. Karssemeijer, A.M. Cats, B. De Hoop, B.H.J. Geurts, O. Berger-Hartog, B. van Ginneken and C.M. Schaefer-Prokop. "The Effect of Supplementary Bone-Suppressed Chest Radiographs on the Assessment of a Variety of Common Pulmonary Abnormalities: Results of an Observer Study", Journal of Thoracic Imaging 2016;31(2):119-125. Abstract/PDF DOI PMID 26783697

  31. M.J.J.P. van Grinsven, T. Theelen, L. Witkamp, J. van der Heijden, J.P.H. van de Ven, C.B. Hoyng, B. van Ginneken and C.I. Sánchez. "Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach", Biomedical Optics Express 2016;7(3):709-725. Abstract/PDF DOI PMID 27231583

  32. P. Maduskar, R.H.M.M. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C.I. Sánchez and B. van Ginneken. "Automatic detection of pleural effusion in chest radiographs", Medical Image Analysis 2016;28:22-32. Abstract/PDF DOI PMID 26688067

  33. J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C.I. Sánchez. "On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis", IEEE Transactions on Medical Imaging 2016;35(4):1013-1024. Abstract/PDF DOI PMID 26660889

  34. J. Charbonnier, M. Brink, F. Ciompi, E. Scholten, C. Schaefer-Prokop and E. van Rikxoort. "Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching.", IEEE Transactions on Medical Imaging 2016:882-92. Abstract/PDF DOI PMID 26584489

  35. M. Dalmis, A. Gubern-Mérida, S. Vreemann, N. Karssemeijer, R. Mann and B. Platel. "A Computer-Aided Diagnosis System for Breast DCE-MRI at High Spatiotemporal Resolution", Medical Physics 2016;43(1):84-94. Abstract/PDF DOI PMID 26745902

  36. A. Gubern-Mérida, S. Vreemann, R. Marti, J. Melendez, S. Lardenoije, R. Mann, N. Karssemeijer and B. Platel. "Automated detection of breast cancer in false-negative screening MRI studies from women at increased risk", European Journal of Radiology 2016;85(2):472-479. Abstract/PDF DOI PMID 26781154

  37. M. Meijs, S. Christensen, M.G. Lansberg, G.W. Albers and F. Calamante. "Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve", Magnetic Resonance in Medicine 2016;76:1282-1290. Abstract/PDF DOI PMID 26519871

  38. G. Bozovic, S. Steen, T. Sjöberg, C. Schaefer-Prokop, J. Verschakelen, Q. Liao, P. Höglund, R. Siemund and I.M. Björkman-Burtscher. "Circulation stabilizing therapy and pulmonary high-resolution computed tomography in a porcine brain-dead model", Acta Anaesthesiologica Scandinavica 2016;60:93-102. Abstract/PDF DOI PMID 26251260

  39. C.A. Ridge, A. Yildirim, P.M. Boiselle, T. Franquet, C.M. Schaefer-Prokop, D. Tack, P.A. Gevenois and A.A. Bankier. "Differentiating between Subsolid and Solid Pulmonary Nodules at CT: Inter- and Intraobserver Agreement between Experienced Thoracic Radiologists", Radiology 2016:888-96. Abstract/PDF DOI PMID 26458208

  40. C. Jacobs, E.M. van Rikxoort, K. Murphy, M. Prokop, C.M. Schaefer-Prokop and B. van Ginneken. "Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database", European Radiology 2016;26:2139-2147. Abstract/PDF DOI PMID 26443601

  41. L. Gallardo-Estrella, D.A. Lynch, M. Prokop, D. Stinson, J. Zach, P.F. Judy, B. van Ginneken and E.M. van Rikxoort. "Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification", European Radiology 2016;26:478-486. Abstract/PDF DOI PMID 26002132

  42. R. Manniesing, M.T.H. Oei, B. van Ginneken and M. Prokop. "Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging", Radiology 2016;278(1):190-197. Abstract/PDF DOI PMID 26114226

  43. F. Ciompi, S. Balocco, J. Rigla, X. Carrillo, J. Mauri and P. Radeva. "Computer-aided detection of intracoronary stent in intravascular ultrasound sequences.", Medical physics 2016;43:5616. Abstract/PDF DOI PMID 27782708

  44. O.A. Debats, A.S. Fortuin, H.J.M. Meijer, T. Hambrock, G.J.S. Litjens, J.O. Barentsz and H.J. Huisman. "Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol.", PeerJ 2016;4:e2471. Abstract DOI PMID 27781154

  45. O.A. Debats, M. Meijs, G.J.S. Litjens and H.J. Huisman. "Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients", Medical Physics 2016;43(6):3132. Abstract/PDF DOI PMID 27277059

  46. T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Mérida, C.I. Sánchez, R. Mann, A. den Heeten and N. Karssemeijer. "Large Scale Deep Learning for Computer Aided Detection of Mammographic Lesions", Medical Image Analysis 2016;35:303-312. Abstract/PDF DOI PMID 27497072

  47. W.M. van de Ven, J. Sedelaar, M. van der Leest, B.J. Hulsbergen-van de Kaa, C.A., J. Futterer and H.J. Huisman. "Visibility of prostate cancer on transrectal ultrasound during fusion with multi-parametric magnetic resonance imaging for biopsy", Clinical Imaging 2016;40(4):745-750. Abstract/PDF DOI PMID 25979040


Papers in conference proceedings

  1. A. Bria, C. Marrocco, N. Karssemeijer, M. Molinara and F. Tortorella. "Deep Cascade Classifiers to Detect Clusters of Microcalcifications", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 415-422. Abstract/PDF DOI

  2. A. Bria, C. Marrocco, J.J. Mordang, N. Karssemeijer, M. Molinara and F. Tortorella. "LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 27-34. Abstract/PDF DOI

  3. E. García, A. Oliver, Y. Diez, O. Diaz, A. Gubern-Mérida, X. Lladó and J. Martí. "Comparison of Four Breast Tissue Segmentation Algorithms for Multi-modal MRI to X-ray Mammography Registration", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 493-500. Abstract/PDF DOI

  4. J. Georgii, T. Paetz, M. Harz, C. Stoecker, M. Rothgang, J. Colletta, K. Schilling, M. Schlooz-Vries, R. Mann and H.K. Hahn. "Simulation and Visualization to Support Breast Surgery Planning", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 257-264. Abstract/PDF DOI

  5. T. Kooi, A. Gubern-Mérida, J.J. Mordang, R. Mann, R. Pijnappel, K. Schuur, A. den Heeten and N. Karssemeijer. "A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 51-56. Abstract/PDF DOI

  6. T. Mertzanidou, J. Hipwell, S. Reis, B. Ehteshami Bejnordi, M. Hermsen, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, R. Mann, P. Bult and D. Hawkes. "Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 367-374. Abstract/PDF DOI

  7. J.J. Mordang, T. Janssen, A. Bria, T. Kooi, A. Gubern-Mérida and N. Karssemeijer. "Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 35-42. Abstract/PDF DOI

  8. M. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer, C. Igel and M. Lillholm. "Learning Density Independent Texture Features", in: Breast Imaging, volume 9699, 2016, pages 299-306. Abstract/PDF DOI

  9. K. Holland, I. Sechopoulos, G. den Heeten, R. Mann and N. Karssemeijer. "Performance of breast cancer screening depends on mammographic compression", in: Breast Imaging, volume 9699 of Lecture Notes in Computer Science, 2016, pages 183-189. Abstract/PDF DOI

  10. N. Lessmann, I. Isgum, A.A. Setio, B.D. de Vos, F. Ciompi, P.A. de Jong, M. Oudkerk, W.P.T.M. Mali, M.A. Viergever and B. van Ginneken. "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT", in: Medical Imaging, volume 9785 of Proceedings of the SPIE, 2016, pages 978511-1 - 978511-6. Abstract/PDF DOI

  11. K. Holland, C.H. van Gils, J.O.P. Wanders, R.M. Mann and N. Karssemeijer. "Quantification of mammographic masking risk with volumetric breast density maps: How to select women for supplemental screening", in: Medical Imaging of Proceedings of the SPIE, 2016. Abstract/PDF DOI

  12. M. Ghafoorian, N. Karssemeijer, T. Heskes, I.W.M. van Uden, F.-E. de Leeuw, E. Marchiori, B. van Ginneken and B. Platel. "Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation", in: IEEE International Symposium on Biomedical Imaging, 2016, pages 1414-1417. Abstract/PDF DOI

  13. K. Vijverberg, M. Ghafoorian, I.W.M. van Uden, F.-E. de Leeuw, B. Platel and T. Heskes. "A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation", in: Medical Imaging, 2016. Abstract/PDF DOI

  14. A. Gubern-Mérida, T. Tan, J. van Zelst, R.M. Mann and N. Karssemeijer. "Automated linking of suspicious findings between automated 3D breast ultrasound volumes", in: Medical Imaging of Proceedings of the SPIE, 2016. Abstract/PDF

  15. G. Litjens, K. Safferling and N. Grabe. "Automated robust registration of grossly misregistered whole-slide images with varying stains", in: Medical Imaging, volume 9791 of Proceedings of the SPIE, 2016, page 979103. Abstract/PDF DOI


Abstracts

  1. K. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer and M. Lillholm. "Breast Cancer Risk Prediction with Density Independent Texture Features", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  2. N. Karssemeijer, K. Holland, I. Sechopoulos, R. Mann, G. den Heeten and C. van Gils. "High Breast Compression in Mammography May Reduce Sensitivity", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  3. J. Charbonnier, M. Han, E. Pompe, C. Moore, S. Humphries, D. Lynch, van Ginneken B., B. Make and van Rikxoort E.. "CT-based models for prediction of chronic obstructed pulmonary disease and smoking-related morbidity in cigarette smokers", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  4. J. Charbonnier, E. Pompe, C. Moore, S. Humphries, B. van Ginneken, D. Lynch, B. Make and E. van Rikxoort. "Airway Dimensions in Current and Former smokers: an independent predictor of Airflow Obstruction and Respiratory Quality of Life in Cigarette Smokers", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  5. J. Wanders, K. Holland, P. Peeters, N. Karssemeijer and C. van Gils. "Volumetric Breast Density And The Risk Of Screen-Detected And Interval Breast Cancer", in: Annual conference of the International Agency for Research on Cancer, 2016. Abstract

  6. M. Meijs, M. Prokop, F.J. Meijer, B. van Ginneken and R. Manniesing. "Segmentation of small cerebral vessels on CT perfusion images of patients with suspected acute stroke", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract/PDF

  7. R. Becks, M. Meijs, R. Manniesing, J. Vister, S. Schalekamp, R. Mann, S. Steens, E. Smit, E. van Dijk, M. Prokop and F.J. Meijer. "Additional Value of Brain CT Perfusion in The Detection of Intracranial Vessel Occlusion in Acute Ischemic Stroke: A (Multi Experience Level) Inter-Observer Study", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  8. R. Manniesing, S. van de Leemput, M. Prokop and B. van Ginneken. "White Matter and Gray Matter Segmentation in 4D CT Images of Acute Ischemic Stroke Patients: a Feasibility Study", in: Annual Meeting of the Radiological Society of North America, 2016. Abstract

  9. E.T. Scholten, C. Jacobs, C.M. Schaefer-Prokop, J. Rühaak, H.J. de Koning, M. Oudkerk, P.A. de Jong, M. Prokop and B. van Ginneken. "Temporal subtraction of chest CT in lung cancer screening", in: European Congress of Radiology, 2016. Abstract

  10. J. Charbonnier, D. Lynch, S. Humphries, M. Strand and E. van Rikxoort. "Relative Contributions of Quantitative CT Measures to Airflow Obstruction in Cigarette Smokers", in: American Thoracic Society International Conference, 2016. Abstract

  11. F.G. Venhuizen, M.J.J.P. van Grinsven, B. van Ginneken, C.B. Hoyng, T. Theelen and C.I. Sánchez. "Fully automated quantification of intraretinal cysts in 3D optical coherence tomography", in: Association for Research in Vision and Ophthalmology, 2016. Abstract

  12. M.J.J.P. van Grinsven, F.G. Venhuizen, B. van Ginneken, C.B. Hoyng, T. Theelen and C.I. Sánchez. "Automatic detection of hemorrhages on color fundus images using deep learning", in: Association for Research in Vision and Ophthalmology, 2016. Abstract

  13. S. Vreemann, A. Gubern-Mérida, C. Borelli, N. Karssemeijer and R. Mann. "Background Parenchymal Enhancement as a predictor of breast cancer grade: a pilot study", in: European Congress of Radiology, 2016. Abstract

  14. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann. "The performance of MRI screening in the detection of breast cancer in an intermediate and high risk screening program", in: Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2016. Abstract

  15. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann. "Differences between cancers detected in prophylactic mastectomy specimen, screen detected cancers and true interval cancers in women participating in an intermediate and high risk screening program", in: European Breast Cancer Conference, 2016. Abstract

  16. S. Vreemann, A. Gubern-Mérida, S. Lardenoije, N. Karssemeijer and R. Mann. "Prognostic factors of interval carcinomas occurring in an intermediate and high risk breast cancer screening program", in: European Congress of Radiology, 2016. Abstract


Theses

  1. M. van Grinsven. "Automated analysis of retinal images for detection of age-related macular degeneration and diabetic retinopathy", PhD thesis, 2016. Abstract/PDF URL

  2. W. van de Ven. "MRI guided TRUS prostate biopsy - a viable alternative?", PhD thesis, Radboud Universiteit Nijmegen, 2016. Abstract/PDF URL


Other publications

  1. R. Beichel, K. Farahani, C. Jacobs, S. Kabus, A.P. Kiraly, J.M. Kuhnigk, J. McClelland, K. Mori, J. Petersen and S. Rit. "The Sixth International Workshop on Pulmonary Image Analysis", 2016. Abstract/PDF URL

  2. A. Patel and R. Manniesing. "Automatic interpretation of 4D computed tomography images in acute stroke", 2016. PDF DOI