Publications

2016

Papers in international journals

  1. C. Jacobs, E. van Rikxoort, K. Murphy, M. Prokop, C. 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 Cited by ~54
  2. G. Litjens, C. 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 Cited by ~490
  3. M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez., "Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images", IEEE Transactions on Medical Imaging, 2016;35:1273-1284. Abstract/PDF DOI PMID Cited by ~240
  4. B. 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;35:404-415. Abstract/PDF DOI PMID Cited by ~128
  5. R. Remark, T. Merghoub, N. Grabe, G. Litjens, D. Damotte, J. Wolchok, M. Merad and S. Gnjatic, "In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide", Science Immunology, 2016;1:aaf6925-aaf6925. Abstract/PDF DOI PMID Cited by ~63
  6. A. Ritchie, C. Sanghera, C. Jacobs, W. Zhang, J. Mayo, H. Schmidt, M. Gingras, S. Pasian, L. Stewart, S. Tsai, D. Manos, J. Seely, P. Burrowes, R. Bhatia, S. Atkar-Khattra, B. van Ginneken, M. Tammemagi, M. Tsao, S. Lam and t. of Group, "Computer Vision Tool and Technician as First Reader of Lung Cancer Screening CT Scans", Journal of Thoracic Oncology, 2016;11(5):709-717. Abstract/PDF DOI PMID Cited by ~14
  7. J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C. Sánchez, "On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis", IEEE Transactions on Medical Imaging, 2016;35:1013-1024. Abstract/PDF DOI PMID Cited by ~28
  8. T. Kockelkorn, R. Ramos, J. Ramos, P. de Jong, C. Schaefer-Prokop, R. Wittenberg, A. Tiehuis, J. Grutters, M. Viergever and B. van Ginneken, "Optimization Strategies for Interactive Classification of Interstitial Lung Disease Textures", Frontiers in ICT, 2016;3:33. Abstract/PDF DOI
  9. C. Ridge, A. Yildirim, P. Boiselle, T. Franquet, C. Schaefer-Prokop, D. Tack, P. Gevenois and 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
  10. 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 Cited by ~17
  11. J. Hoffman, M. van Grinsven, C. Li, M. Brantley Jr, J. McGrath, A. Agarwal, W. Scott, S. Schwartz, J. Kovach, M. Pericak-Vance, C. Sánchez and J. Haines, "Genetic Association Analysis of Drusen Progression", Investigative Ophthalmology and Visual Science, 2016;57:2225-2231. Abstract/PDF DOI PMID Cited by ~9
  12. R. Manniesing, M. Oei, B. van Ginneken and M. Prokop, "Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging", Radiology, 2016;278:190-197. Abstract/PDF DOI PMID Cited by ~18
  13. P. Maduskar, R. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C. Sánchez and B. van Ginneken, "Automatic detection of pleural effusion in chest radiographs", Medical Image Analysis, 2016;28:22-32. Abstract/PDF DOI PMID Cited by ~19
  14. O. Debats, A. Fortuin, H. Meijer, T. Hambrock, G. Litjens, J. Barentsz and H. 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/PDF DOI PMID Cited by ~7
  15. J. Cohen, J. Goo, R. Yoo, C. Park, C. Lee, B. van Ginneken, D. Chung and Y. Kim, "Software performance in segmenting ground-glass and solid components of subsolid nodules in pulmonary adenocarcinomas", European Radiology, 2016;26:4465-4474. Abstract/PDF DOI PMID Cited by ~31
  16. 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;43:84-94. Abstract/PDF DOI PMID Cited by ~24
  17. T. Kobus, J. van der Laak, M. Maas, T. Hambrock, C. Bruggink, C. Hulsbergen-van de Kaa, T. Scheenen and A. Heerschap, "Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate", Radiology, 2016;278:801-811. Abstract/PDF DOI PMID Cited by ~26
  18. G. Bozovic, S. Steen, T. Sjöberg, C. Schaefer-Prokop, J. Verschakelen, Q. Liao, P. Höglund, R. Siemund and I. 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
  19. M. Meijs, S. Christensen, M. Lansberg, G. 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
  20. E. Lens, A. Kotte, A. Patel, H. Heerkens, M. Bal, G. van Tienhoven, A. Bel, A. van der Horst and G. Meijer, "Probabilistic treatment planning for pancreatic cancer treatment: prospective incorporation of respiratory motion shows only limited dosimetric benefit", Acta Oncologica, 2016:1-7. Abstract/PDF DOI PMID
  21. W. van de Ven, J. Sedelaar, M. van der Leest, C. de Hulsbergen-van Kaa, J. Barentsz, J. Futterer and H. Huisman, "Visibility of prostate cancer on transrectal ultrasound during fusion with multi-parametric magnetic resonance imaging for biopsy", Clinical Imaging, 2016;40:745-750. Abstract/PDF DOI PMID Cited by ~15
  22. 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 Cited by ~249
  23. O. Debats, M. Meijs, G. Litjens and H. Huisman, "Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients", Medical Physics, 2016;43:3132. Abstract/PDF DOI PMID Cited by ~2
  24. M. van Grinsven, T. Theelen, L. Witkamp, J. van der Heijden, J. van de Ven, C. Hoyng, B. van Ginneken and C. Sánchez, "Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach", Biomedical Optics Express, 2016;7:709-725. Abstract/PDF DOI PMID Cited by ~7
  25. T. Kockelkorn, P. de Jong, C. Schaefer-Prokop, R. Wittenberg, A. Tiehuis, H. Gietema, J. Grutters, M. Viergever and B. van Ginneken, "Semi-automatic classification of textures in thoracic CT scans", Physics in Medicine and Biology, 2016;61:5906-5924. Abstract/PDF DOI PMID Cited by ~4
  26. H. Greenspan, R. 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;35:1153-1159. Abstract/PDF DOI
  27. 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;43:1676-1687. Abstract/PDF DOI PMID Cited by ~12
  28. J. Melendez, C. Sánchez, R. 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 Cited by ~53
  29. T. Tan, A. Gubern-Mérida, C. Borelli, R. Manniesing, J. van Zelst, L. Wang, W. Zhang, B. Platel, R. Mann and N. Karssemeijer, "Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model", Medical Physics, 2016;43:4074-4084. Abstract/PDF DOI PMID Cited by ~8
  30. 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, 2016:882-892. Abstract/PDF DOI PMID Cited by ~21
  31. W. van de Ven, W. Venderink, J. Sedelaar, J. Veltman, J. Barentsz, J. Fütterer, E. Cornel and H. Huisman, "MR-targeted TRUS prostate biopsy using local reference augmentation: initial experience", International Urology and Nephrology, 2016. Abstract/PDF DOI PMID Cited by ~6
  32. O. Mets, P. de Jong, K. Chung, J. Lammers, B. van Ginneken and C. 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 Cited by ~19
  33. J. Teuwen, "On the integral kernels of derivatives of the Ornstein-Uhlenbeck semigroup", Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2016;19:1650030. Abstract/PDF DOI
  34. L. Gallardo-Estrella, D. Lynch, M. Prokop, D. Stinson, J. Zach, P. Judy, B. van Ginneken and E. 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 Cited by ~32
  35. B. 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;35:2141-2150. Abstract/PDF DOI PMID Cited by ~55
  36. K. Holland, J. van Zelst, G. den Heeten, M. Imhof-Tas, R. Mann, C. 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 Cited by ~14
  37. 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 Cited by ~1
  38. S. Schalekamp, N. Karssemeijer, A. Cats, B. De Hoop, B. Geurts, O. Berger-Hartog, B. van Ginneken and C. 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;31:119-125. Abstract/PDF DOI PMID Cited by ~3
  39. J. Cohen, J. Goo, R. Yoo, S. Park, B. van Ginneken, G. Ferretti, C. Lee and C. 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;85:1174-1180. Abstract/PDF DOI PMID Cited by ~12
  40. E. Pompe, P. de Jong, E. van Rikxoort, L. Gallardo Estrella, W. de Jong, R. Vliegenthart, M. Oudkerk, C. van der Aalst, B. van Ginneken, J. Lammers and F. 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 Cited by ~8
  41. A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez and B. van Ginneken, "Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks", IEEE Transactions on Medical Imaging, 2016;35:1160-1169. Abstract/PDF DOI PMID Cited by ~605
  42. T. Koster, E. van Rikxoort, R. Huebner, F. Doellinger, K. Klooster, J. Charbonnier, S. Radhakrishnan, F. Herth and D. Slebos, "Predicting Lung Volume Reduction after Endobronchial Valve Therapy Is Maximized Using a Combination of Diagnostic Tools", Respiration, 2016;92(3):150-7. Abstract/PDF DOI PMID Cited by ~55
  43. M. Ghafoorian, N. Karssemeijer, I. van Uden, F. 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;43:6246-6258. Abstract/PDF DOI PMID Cited by ~33
  44. 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(10):5616. Abstract/PDF DOI PMID Cited by ~7
  45. T. van den Heuvel, A. van der Eerden, R. Manniesing, M. Ghafoorian, T. Tan, T. Andriessen, T. Vyvere, L. van den Hauwe, B. ter Romeny, B. 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 Cited by ~37
  46. C. de Korte, S. Fekkes, A. Nederveen, R. Manniesing and H. Hansen, "Review: Mechanical Characterization of Carotid Arteries and Atherosclerotic Plaques", IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2016;63:1613-1623. Abstract/PDF DOI PMID
  47. 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(11):2008-2013. Abstract/PDF DOI PMID Cited by ~4
  48. G. Litjens, R. Elliott, N. Shih, M. Feldman, T. Kobus, C. Hulsbergen-van de Kaa, J. Barentsz, H. Huisman and A. Madabhushi, "Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.", Radiology, 2016;278:135-145. Abstract DOI PMID

Papers in conference proceedings

  1. G. Litjens, K. Safferling and N. Grabe, "Automated robust registration of grossly misregistered whole-slide images with varying stains", Medical Imaging, 2016;9791:979103. Abstract/PDF DOI
  2. A. Bria, C. Marrocco, N. Karssemeijer, M. Molinara and F. Tortorella, "Deep Cascade Classifiers to Detect Clusters of Microcalcifications", Breast Imaging, 2016;9699:415-422. Abstract/PDF DOI Cited by ~16
  3. 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", Breast Imaging, 2016;9699:35-42. Abstract/PDF DOI Cited by ~49
  4. M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, F. de Leeuw, E. Marchiori, B. van Ginneken and B. Platel, "Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation", IEEE International Symposium on Biomedical Imaging, 2016:1414-1417. Abstract/PDF DOI Cited by ~47
  5. N. Lessmann, I. Išgum, A. Setio, B. de Vos, F. Ciompi, P. de Jong, M. Oudkerk, W. Mali, M. Viergever and B. van Ginneken, "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT", Medical Imaging, 2016;9785:978511-1 - 978511-6. Abstract/PDF DOI Cited by ~25
  6. A. Bria, C. Marrocco, J. Mordang, N. Karssemeijer, M. Molinara and F. Tortorella, "LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms", Breast Imaging, 2016;9699:27-34. Abstract/PDF DOI Cited by ~4
  7. K. Holland, I. Sechopoulos, G. den Heeten, R. Mann and N. Karssemeijer, "Performance of breast cancer screening depends on mammographic compression", Breast Imaging, 2016;9699:183-189. Abstract/PDF DOI Cited by ~14
  8. T. Kooi, A. Gubern-Mérida, 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", Breast Imaging, 2016;9699:51-56. Abstract/PDF DOI Cited by ~18
  9. K. Holland, C. van Gils, J. Wanders, R. Mann and N. Karssemeijer, "Quantification of mammographic masking risk with volumetric breast density maps: How to select women for supplemental screening", Medical Imaging, 2016. Abstract/PDF DOI Cited by ~4
  10. M. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer, C. Igel and M. Lillholm, "Learning Density Independent Texture Features", Breast Imaging, 2016;9699:299-306. Abstract/PDF DOI
  11. A. Gubern-Mérida, T. Tan, J. van Zelst, R. Mann and N. Karssemeijer, "Automated linking of suspicious findings between automated 3D breast ultrasound volumes", Medical Imaging, 2016. Abstract/PDF DOI Cited by ~1
  12. T. Mertzanidou, J. Hipwell, S. Reis, B. 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", Breast Imaging, 2016;9699:367-374. Abstract/PDF DOI Cited by ~3

Abstracts

  1. N. Karssemeijer, K. Holland, I. Sechopoulos, R. Mann, G. den Heeten and C. van Gils, "High Breast Compression in Mammography May Reduce Sensitivity", Annual Meeting of the Radiological Society of North America, 2016. Abstract
  2. 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", European Breast Cancer Conference, 2016. Abstract
  3. R. Becks, M. Meijs, R. Manniesing, J. Vister, S. Schalekamp, R. Mann, S. Steens, E. Smit, E. van Dijk, M. Prokop and F. 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", Annual Meeting of the Radiological Society of North America, 2016. Abstract
  4. M. van Grinsven, F. Venhuizen, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Automatic detection of hemorrhages on color fundus images using deep learning", Association for Research in Vision and Ophthalmology, 2016. Abstract Cited by ~3
  5. E. Scholten, C. Jacobs, C. Schaefer-Prokop, J. Rühaak, H. de Koning, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken, "Temporal subtraction of chest CT in lung cancer screening", European Congress of Radiology, 2016. Abstract
  6. K. Kallenberg, M. Nielsen, K. Holland, N. Karssemeijer and M. Lillholm, "Breast Cancer Risk Prediction with Density Independent Texture Features", Annual Meeting of the Radiological Society of North America, 2016. Abstract
  7. B. Liefers, V. Schreur, T. Theelen and C. Sánchez, "Registration and grading of micro-aneurysms in Fluorescein Angiography and OCT Angiography", 4th International Congress on OCT Angiography and Advances in OCT, 2016. Abstract
  8. J. Charbonnier, D. Lynch, S. Humphries, M. Strand and E. van Rikxoort, "Relative Contributions of Quantitative CT Measures to Airflow Obstruction in Cigarette Smokers", American Thoracic Society International Conference, 2016. Abstract
  9. M. Meijs, M. Prokop, F. Meijer, B. van Ginneken and R. Manniesing, "Segmentation of small cerebral vessels on CT perfusion images of patients with suspected acute stroke", Annual Meeting of the Radiological Society of North America, 2016. Abstract/PDF
  10. 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", Annual conference of the International Agency for Research on Cancer, 2016. Abstract
  11. 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", European Congress of Radiology, 2016. Abstract
  12. 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", Annual Meeting of the Radiological Society of North America, 2016. Abstract
  13. F. Venhuizen, M. van Grinsven, B. van Ginneken, C. Hoyng, T. Theelen and C. Sánchez, "Fully automated quantification of intraretinal cysts in 3D optical coherence tomography", Association for Research in Vision and Ophthalmology, 2016. Abstract
  14. 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", Annual Meeting of the Radiological Society of North America, 2016. Abstract
  15. M. Hermsen and J. van der Laak, "Highly multiplexed immunofluorescence using spectral imaging", DPA's Pathology Visions Conference 2016, San Diego, CA, US, 2016. Abstract/PDF
  16. 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", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2016. Abstract
  17. 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", European Congress of Radiology, 2016. Abstract
  18. F. Ciompi, K. Chung, A. Setio, S. van Riel, E. Scholten, P. Gerke, C. Jacobs, U. Pastorino, A. Marchiano, M. Wille, M. Prokop and B. van Ginneken, "Pulmonary nodule type classification with convolutional networks", Medical Image Computing and Computer-Assisted Intervention, 2016. Abstract/PDF

PhD theses

  1. J. Teuwen, "Shedding new light on gaussian harmonic analysis", 2016:139. Abstract/PDF DOI
  2. N. Moriakov, "Entropy and Kolmogorov complexity", 2016:122. Abstract/PDF DOI
  3. W. van de Ven, "MRI guided TRUS prostate biopsy - a viable alternative?", 2016. Abstract/PDF
  4. M. van Grinsven, "Automated analysis of retinal images for detection of age-related macular degeneration and diabetic retinopathy", 2016. Abstract/PDF

Other publications

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