Publications

Accepted or to appear

Papers in international journals

  1. B. van Ginneken. "Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?", Radiology. PDF DOI PMID 30422089

  2. 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. Abstract DOI

  3. S.G. Armato, H. Huisman, K. Drukker, L. Hadjiiski, J.S. Kirby, N. Petrick, G. Redmond, M.L. Giger, K. Cha, A. Mamonov, J. Kalpathy-Cramer and K. Farahani. "The PROSTATEx Challenges for Computerized Classification of Prostate Lesions from Multi-Parametric Magnetic Resonance Images", Journal of Medical Imaging. Abstract

  4. 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. Abstract/PDF DOI PMID 30383304

  5. P. Bandi, O. Geessink, Q. Manson, M. van Dijk, M. Balkenhol, M. Hermsen, B.E. Bejnordi, B. Lee, K. Paeng, A. Zhong, Q. Li, F.G. Zanjani, S. Zinger, K. Fukuta, D. Komura, V. Ovtcharov, S. Cheng, S. Zeng, J. Thagaard, A.B. Dahl, H. Lin, H. Chen, L. Jacobsson, M. Hedlund, M. Cetin, E. Halici, H. Jackson, R. Chen, F. Both, J. Franke, H. Kusters-Vandevelde, W. Vreuls, P. Bult, B. van Ginneken, J. van der Laak and G. Litjens. "From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge", IEEE Transactions on Medical Imaging. Abstract/PDF DOI

  6. 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

  7. 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. Abstract/PDF DOI PMID 30066248

  8. D. Tellez, M. Balkenhol, I. Otte-Holler, R. van de Loo, R. Vogels, P. Bult, C. Wauters, W. Vreuls, S. Mol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi. "Whole-Slide Mitosis Detection in H&E Breast Histology Using PHH3 as a Reference to Train Distilled Stain-Invariant Convolutional Networks", IEEE Transactions on Medical Imaging. Abstract/PDF DOI PMID 29994086


Abstracts

  1. S.C. van de Leemput and R. Manniesing. "Full Volumetric Brain Tissue Segmentation in Non-contrast CT using Memory Efficient Convolutional LSTMs", in: Medical Imaging meets NIPS. Abstract


2018

Papers in international journals

  1. G. Chlebus, A. Schenk, J.H. Moltz, B. van Ginneken, H.K. Hahn and H. Meine. "Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing", Nature Scientific Reports 2018;8:15497. Abstract/PDF DOI PMID 30341319

  2. Z. Bian, J.-P. Charbonnier, J. Liu, D. Zhao, D.A. Lynch and B. van Ginneken. "Small airway segmentation in thoracic computed tomography scans: a machine learning approach", Physics in Medicine and Biology 2018;63:155024. Abstract/PDF DOI PMID 29995646

  3. R.C. Koesoemadinata, K. Kranzer, R. Livia, N. Susilawati, J. Annisa, N.N.M. Soetedjo, R. Ruslami, R. Philipsen, B. van Ginneken, R.D. Soetikno, R. van Crevel, B. Alisjahbana and P.C. Hill. "Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus", International Journal of Tuberculosis and Lung Disease 2018;22:1088-1094. Abstract/PDF DOI PMID 30092877

  4. S.M.A. Zaidi, S.S. Habib, B. Van Ginneken, R.A. Ferrand, J. Creswell, S. Khowaja and A. Khan. "Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan", Nature Scientific Reports 2018;8:12339. Abstract/PDF DOI PMID 30120345

  5. K. Chung, O.M. Mets, P.K. Gerke, C. Jacobs, A.M. den Harder, E.T. Scholten, M. Prokop, P.A. de Jong, B. van Ginneken and C.M. Schaefer-Prokop. "Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population", Thorax 2018;73:857-863. Abstract/PDF DOI PMID 29777062

  6. O.M. Mets, K. Chung, P. Zanen, E.T. Scholten, W.B. Veldhuis, B. van Ginneken, M. Prokop, C.M. Schaefer-Prokop and P.A. de Jong. "In vivo growth of 60 non-screening detected lung cancers: a computed tomography study", European Respiratory Journal 2018;51:1702183. Abstract/PDF DOI PMID 29650547

  7. M.T.H. Oei, F.J.A. Meijer, J.-J. Mordang, E.J. Smit, A.J. Idema, B.M. Goraj, H.O.A. Laue, M. Prokop and R. Manniesing. "Observer Variability of Reference Tissue Selection for Relative Cerebral Blood Volume Measurements in Glioma Patients", European Radiology 2018;28:3902-3911. Abstract/PDF DOI PMID 29572637

  8. M. Meijs, F.-E. de Leeuw, H.D. Boogaarts, R. Manniesing and F.J.A. Meijer. "Circle of Willis collateral flow in carotid artery occlusion is depicted by 4D-CTA", World Neurosurgery 2018;114:421-426. Abstract/PDF DOI PMID 29530689

  9. F.G. Venhuizen, B. van Ginneken, B. Liefers, F. van Asten, V. Schreur, S. Fauser, C.B. Hoyng, T. Theelen and C.I. Sánchez. "A Deep Learning Approach for Detection and Quantification of Intraretinal Cystoid Fluid in Multivendor Optical Coherence Tomography", Biomedical Optics Express 2018;9(4):1545-1569. Abstract/PDF DOI

  10. K. Chung, F. Ciompi, J.M. Scholten, E. Th. Goo, M. Prokop, C. Jacobs, B. van Ginneken and C.M. Schaefer-Prokop. "Visual Discrimination of Screen-detected Persistent from Transient Subsolid Nodules: an Observer Study", PLoS One 2018;13:e0191874. Abstract/PDF DOI PMID 29438443

  11. S. Vreemann, A. Gubern-Mérida, C. Borelli, P. Bult, N. Karssemeijer and R.M. Mann. "The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers", PLoS One 2018;13:e0191399. Abstract/PDF DOI PMID 29351560

  12. J.-P. Charbonnier, K. Chung, E.T. Scholten, E.M. van Rikxoort, C. Jacobs, N. Sverzellati, M. Silva, U. Pastorino, B. van Ginneken and F. Ciompi. "Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules", Nature Scientific Reports 2018;8:646. Abstract/PDF DOI PMID 29330380

  13. H. van der Holst, A. Tuladhar, V. Zerbi, I. van Uden, K. de Laat, E. van Leijsen, M. Ghafoorian, B. Platel, M. Bergkamp, A. van Norden and D. Norris. "White matter changes and gait decline in cerebral small vessel disease", NeuroImage: Clinical 2018;17:731-738. Abstract/PDF DOI PMID 29270357

  14. A. Boueiz, Y. Chang, M.H. Cho, G.R. Washko, R. San José Estépar, R.P. Bowler, J.D. Crapo, D.L. DeMeo, J.G. Dy, E.K. Silverman, P.J. Castaldi and COPDGene Investigators. "Lobar Emphysema Distribution Is Associated With 5-Year Radiological Disease Progression", Chest 2018;153(1):65-76. Abstract/PDF DOI PMID 28943279

  15. O.M. Mets, K. Chung, E.T. Scholten, W.B. Veldhuis, M. Prokop, B. van Ginneken, C.M. Schaefer-Prokop and P.A. de Jong. "Incidental perifissural nodules on routine chest computed tomography: lung cancer or not?", European Radiology 2018:1095-1101. Abstract/PDF DOI PMID 28986629

  16. A. Schreuder, B. van Ginneken, E.T. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S.R. Desai, A. Devaraj and C.M. Schaefer-Prokop. "Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability", Radiology 2018;288(3):867-875. Abstract/PDF DOI PMID 29969076

  17. A. Schreuder, C. Schaefer-Prokop, E. Scholten, C. Jacobs, M. Prokop and B. van Ginneken. "Lung cancer risk to personalise annual and biennial follow-up computed tomography screening", Thorax 2018;73(7):626-633. Abstract/PDF DOI PMID 29602813

  18. G.E. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs. "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans", Physics in Medicine and Biology 2018;63(8):085003. Abstract/PDF DOI PMID 29512516

  19. N. Lessmann, B. van Ginneken, M. Zreik, P.A. de Jong, B.D. de Vos, M.A. Viergever and I. Išgum. "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging 2018;37(2):615-625. Abstract/PDF DOI arXiv PMID 29408789

  20. C. Balta, R.W. Bouwman, I. Sechopoulos, M.J.M. Broeders, N. Karssemeijer, R.E. van Engen and W.J.H. Veldkamp. "A model observer study using acquired mammographic images of an anthropomorphic breast phantom", Medical physics 2018;45:655-665. Abstract/PDF DOI PMID 29193129

  21. M.I. Bergkamp, J.G.J. Wissink, E.M.C. van Leijsen, M. Ghafoorian, D.G. Norris, E.J. van Dijk, B. Platel, A.M. Tuladhar and F.-E. de Leeuw. "Risk of Nursing Home Admission in Cerebral Small Vessel Disease.", Stroke 2018;49:2659-2665. Abstract DOI PMID 30355195

  22. A. Bria, C. Marrocco, L.R. Borges, M. Molinara, A. Marchesi, J.-J. Mordang, N. Karssemeijer and F. Tortorella. "Improving the Automated Detection of Calcifications using Adaptive Variance Stabilization", IEEE Transactions on Medical Imaging 2018;37(8):1857-1864. Abstract/PDF DOI PMID 29994062

  23. M.U. Dalmış, S. Vreemann, T. Kooi, R.M. Mann, N. Karssemeijer and A. Gubern-Mérida. "Fully automated detection of breast cancer in screening MRI using convolutional neural networks", Journal of medical imaging (Bellingham, Wash.) 2018;5:014502. Abstract/PDF DOI PMID 29340287

  24. B. Ehteshami Bejnordi, M. Mullooly, R.M. Pfeiffer, S. Fan, P.M. Vacek, D.L. Weaver, S. Herschorn, L.A. Brinton, B. van Ginneken, N. Karssemeijer, A.H. Beck, G.L. Gierach, J.A.W.M. van der Laak and M.E. Sherman. "Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies", Modern Pathology 2018;31(10):1502-1512. Abstract/PDF DOI PMID 29899550

  25. T.L.A. van den Heuvel, D. de Bruijn, C.L. de Korte and B. van Ginneken. "Automated measurement of fetal head circumference using 2D ultrasound images", PLoS One 2018;13(8). Abstract/PDF DOI

  26. T.L.A. van den Heuvel, D. de Bruijn, D. Moens-van de Moesdijk, A. Beverdam, B. van Ginneken and C.L. de Korte. "Comparison Study of Low-Cost Ultrasound Devices for Estimation of Gestational Age in Resource-Limited Countries", Ultrasound in Medicine and Biology 2018;44(11):2250-2260. Abstract/PDF DOI PMID 30093339

  27. S.V. de Lange, M.F. Bakker, E.M. Monninkhof, P.H.M. Peeters, P.K. de Koekkoek-Doll, R.M. Mann, M.J.C.M. Rutten, R.H.C. Bisschops, J. Veltman, K.M. Duvivier, M.B.I. Lobbes, H.J. de Koning, N. Karssemeijer, R.M. Pijnappel, W.B. Veldhuis and C.H. van Gils. "Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts", Clinical radiology 2018;73(8):759e1-759e9. Abstract/PDF DOI PMID 29759590

  28. G. Litjens, P. Bandi, B. Ehteshami Bejnordi, O. Geessink, M. Balkenhol, P. Bult, A. Halilovic, M. Hermsen, R. van de Loo, R. Vogels, Q. Manson, N. Stathonikos, A. Baidoshvili, P. van Diest, C. Wauters, M. van Dijk and J. van der Laak. "1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset", GigaScience 2018;7:1-8. Abstract/PDF DOI PMID 29860392

  29. J. Melendez, L. Hogeweg, C.I. Sánchez, R.H.H.M. Philipsen, R.W. Aldridge, A. Hayward, I. Abubakar, B. van Ginneken and A. Story. "Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening", International Journal of Tuberculosis and Lung Disease 2018;22(5):567-571. Abstract/PDF DOI PMID 29663963

  30. N. Moriakov. "Fluctuations of ergodic averages for actions of groups of polynomial growth.", Studia Mathematica 2018;240(3):255-273. PDF DOI

  31. A. Rodriguez-Ruiz, A. Gubern-Merida, M. Imhof-Tas, S. Lardenoije, A.J.T. Wanders, I. Andersson, S. Zackrisson, K. Lång, M. Dustler, N. Karssemeijer, R.M. Mann and I. Sechopoulos. "One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?", European radiology 2018;28:1938-1948. Abstract DOI PMID 29230524

  32. A. Rodriguez-Ruiz, J. Teuwen, S. Vreemann, R.W. Bouwman, R.E. van Engen, N. Karssemeijer, R.M. Mann, A. Gubern-Merida and I. Sechopoulos. "New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers.", Acta radiologica (Stockholm, Sweden : 1987) 2018;59:1051-1059. Abstract/PDF DOI PMID 29254355

  33. V. Schreur, A. Domanian, B. Liefers, F.G. Venhuizen, B.J. Klevering, C.B. Hoyng, E.K. de Jong and T. Theelen. "Morphological and topographical appearance of microaneurysms on optical coherence tomography angiography", British Journal of Ophthalmology 2018. Abstract/PDF DOI PMID 29925511

  34. M. Silva, M. Prokop, C. Jacobs, G. Capretti, N. Sverzellati, F. Ciompi, B. van Ginneken, C.M. Schaefer-Prokop, C. Galeone, A. Marchianò and U. Pastorino. "Long-term Active Surveillance of Screening Detected Subsolid Nodules is a Safe Strategy to Reduce Overtreatment", Journal of Thoracic Oncology 2018;13:1454-1463. Abstract/PDF DOI PMID 30026071

  35. M. Silva, C.M. Schaefer-Prokop, C. Jacobs, G. Capretti, F. Ciompi, B. van Ginneken, U. Pastorino and N. Sverzellati. "Detection of Subsolid Nodules in Lung Cancer Screening: Complementary Sensitivity of Visual Reading and Computer-Aided Diagnosis.", Investigative Radiology 2018;53(8):441-449. Abstract/PDF DOI PMID 29543693

  36. 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 2018;4:219-227. Abstract/PDF DOI PMID 28753777

  37. S. Vreemann, A. Gubern-Merida, S. Lardenoije, P. Bult, N. Karssemeijer, K. Pinker and R.M. Mann. "The frequency of missed breast cancers in women participating in a high-risk MRI screening program.", Breast cancer research and treatment 2018;169:323-331. Abstract/PDF DOI PMID 29383629

  38. J.C.M. van Zelst, T. Tan, P. Clauser, A. Domingo, M.D. Dorrius, D. Drieling, M. Golatta, F. Gras, M. de Jong, R. Pijnappel, M.J.C.M. Rutten, N. Karssemeijer and R.M. Mann. "Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.", European Radiology 2018;28:2996-3006. Abstract/PDF DOI PMID 29417251

  39. J.C.M. van Zelst, S. Vreemann, H.-J. Witt, A. Gubern-Merida, M.D. Dorrius, K. Duvivier, S. Lardenoije-Broker, M.B.I. Lobbes, C. Loo, W. Veldhuis, J. Veltman, D. Drieling, N. Karssemeijer and R.M. Mann. "Multireader Study on the Diagnostic Accuracy of Ultrafast Breast Magnetic Resonance Imaging for Breast Cancer Screening", Investigative Radiology 2018;53(10):579-586. Abstract/PDF DOI PMID 29944483


Preprints

  1. W. Bulten, P. Bándi, J. Hoven, R. van de Loo, J. Lotz, N. Weiss, J. van der Laak, B. van Ginneken, C.H. van de Kaa and G. Litjens. "Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard", arXiv:1808.05883 2018. Abstract

  2. A. de Gelder and H. Huisman. "Autoencoders for Multi-Label Prostate MR Segmentation", arXiv:1806.08216 2018. Abstract

  3. S. Kazeminia, C. Baur, A. Kuijper, B. van Ginneken, N. Navab, S. Albarqouni and A. Mukhopadhyay. "GANs for Medical Image Analysis", arXiv:1809.06222 2018. Abstract

  4. L. Maier-Hein, M. Eisenmann, A. Reinke, S. Onogur, M. Stankovic, P. Scholz, T. Arbel, H. Bogunovic, A.P. Bradley, A. Carass, C. Feldmann, A.F. Frangi, P.M. Full, B. van Ginneken, A. Hanbury, K. Honauer, M. Kozubek, B.A. Landman, K. März, O. Maier, K. Maier-Hein, B.H. Menze, H. Müller, P.F. Neher, W. Niessen, N. Rajpoot, G.C. Sharp, K. Sirinukunwattana, S. Speidel, C. Stock, D. Stoyanov, A.A. Taha, F. van der Sommen, C.-W. Wang, M.-A. Weber, G. Zheng, P. Jannin and A. Kopp-Schneider. "Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions", arXiv:1806.02051 2018. Abstract

  5. G. Mooij, I. Bagulho and H. Huisman. "Automatic segmentation of prostate zones", arXiv:1806.07146 2018. Abstract

  6. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen. "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", arXiv:1802.06865 2018. Abstract

  7. H. Pinckaers and G. Litjens. "Training convolutional neural networks with megapixel images", arXiv:1804.05712 2018.

  8. E. Sogancioglu, S. Hu, D. Belli and B. van Ginneken. "Chest X-ray Inpainting with Deep Generative Models", arXiv:1809.01471 2018. Abstract

  9. J. Teuwen and P. Urbach. "On Maximum Focused Electric Energy in Bounded Regions", arXiv:1801.02450 2018.

  10. M. Veta, Y.J. Heng, N. Stathonikos, B.E. Bejnordi, F. Beca, T. Wollmann, K. Rohr, M.A. Shah, D. Wang, M. Rousson, M. Hedlund, D. Tellez, F. Ciompi, E. Zerhouni, D. Lanyi, M. Viana, V. Kovalev, V. Liauchuk, H.A. Phoulady, T. Qaiser, S. Graham, N. Rajpoot, E. Sjöblom, J. Molin, K. Paeng, S. Hwang, S. Park, Z. Jia, E.I.-C. Chang, Y. Xu, A.H. Beck, P.J. van Diest and J.P.W. Pluim. "Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge", arXiv:1807.08284 2018. Abstract


Papers in conference proceedings

  1. G. Aresta, T. Araujo, C. Jacobs, B. van Ginneken, A. Cunha, I. Ramos and A. Campilho. "Towards an automatic lung cancer screening system in low dose computed tomography", in: MICCAI Workshop: Thoracic Image Analysis, volume 11040 of Lecture Notes in Computer Science, 2018. Abstract/PDF DOI

  2. D. Tellez, M. Balkenhol, N. Karssemeijer, G. Litjens, J. van der Laak and F. Ciompi. "H&E stain augmentation improves generalization of convolutional networks for histopathological mitosis detection", in: Medical Imaging, volume 10581 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  3. D. Geijs, M. Intezar, J. van der Laak and G. Litjens. "Automatic color unmixing of IHC stained whole slide images", in: Medical Imaging, volume 10581 of SPIE, 2018. Abstract/PDF DOI

  4. M. Ghafoorian, J. Teuwen, R. Manniesing, F.-E. de Leeuw, B. van Ginneken, N. Karssemeijer and B. Platel. "Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR", in: Medical Imaging, volume 10574, 2018, page 105742U. Abstract/PDF DOI arXiv

  5. M. Meijs and R. Manniesing. "Artery and Vein Segmentation of the Cerebral Vasculature in 4D CT using a 3D Fully Convolutional Neural Network", in: Medical Imaging, volume 10575 of SPIE, 2018. Abstract/PDF DOI

  6. A. Patel and R. Manniesing. "A convolutional neural network for intracranial hemorrhage detection in non-contrast CT", in: Medical Imaging, volume 10575 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  7. N. Lessmann, B. van Ginneken and I. Išgum. "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", in: Medical Imaging, volume 10574 of Proceedings of the SPIE, 2018. Abstract/PDF DOI

  8. J.-M. Bokhorst, L. Rijstenberg, D. Goudkade, I. Nagtegaal, J. Laak and F. Ciompi. "Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning", in: Computational Pathology and Ophthalmic Medical Image Analysis, 2018. Abstract DOI

  9. W. Bulten, C.A.H. vandeKaa, J. van der Laak and G.J.S. Litjens. "Automated segmentation of epithelial tissue in prostatectomy slides using deep learning", in: Medical Imaging, volume 10581 of SPIE, 2018. Abstract/PDF DOI

  10. W. Bulten and G. Litjens. "Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders", in: Medical Imaging with Deep Learning, 2018. Abstract arXiv

  11. E. Gibson, Yipeng, H.N. Ghavami, H.U. Ahmed, C. Moore, M. Emberton, H. Huisman and D. Barratt. "Inter-site variability in prostate segmentation accuracy using deep learning", in: Medical Image Computing and Computer-Assisted Intervention, 2018. Abstract URL

  12. C. Gonzalez-Gonzalo, B. Liefers, B. van Ginneken and C.I. Sanchez. "Improving weakly-supervised lesion localization with iterative saliency map refinement", in: Medical Imaging with Deep Learning, 2018. Abstract/PDF URL

  13. Y.B. Hagos, A. Gubern-Mérida and J. Teuwen. "Improving Breast Cancer Detection using Symmetry Information with Deep Learning", in: Breast Image Analysis (BIA), 2018. PDF

  14. S.C. van de Leemput, M. Prokop, B. van Ginneken and R. Manniesing. "Stacked Bidirectional Convolutional LSTMs for 3D Non-contrast CT Reconstruction from Spatiotemporal 4D CT", in: Medical Imaging with Deep Learning, 2018. Abstract/PDF URL

  15. S.C. van de Leemput, J. Teuwen and R. Manniesing. "MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks", in: International Conference on Learning Representations, 2018. Abstract/PDF URL

  16. N. Lessmann, B. van Ginneken, P.A. de Jong and I. Išgum. "Iterative fully convolutional neural networks for automatic vertebra segmentation", in: Medical Imaging with Deep Learning, 2018. Abstract arXiv

  17. T. de Moor, A. Rodriguez-Ruiz, R. Mann and J. Teuwen. "Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network", in: International Workshop on Breast Imaging, 2018. Abstract/PDF

  18. M. van Rijthoven, Z. Swiderska-Chadaj, K. Seeliger, J. van der Laak and F. Ciompi. "You Only Look on Lymphocytes Once", in: Medical Imaging with Deep Learning, 2018. Abstract/PDF URL

  19. A. Rodriguez-Ruiz, J. Teuwen, K. Chung, N. Karssemeijer, M. Chevalier, A. Gubern-Merida and I. Sechopoulos. "Pectoral muscle segmentation in breast tomosynthesis with deep learning", in: Medical Imaging, 2018. Abstract/PDF DOI

  20. K. Standvoss, T. Crijns, L. Goerke, D. Janssen, S. Kern, T. van Niedek, J. van Vugt, N.A. Burgos, E.J. Gerritse, J. Mol, D. van de Vooren, M. Ghafoorian, T.L. van den Heuvel and R. Manniesing. "Cerebral Microbleed Detection in Traumatic Brain Injury Patients using 3D Convolutational Neural Networks", in: Medical Imaging, volume 10575 of SPIE, 2018. Abstract/PDF DOI

  21. Z. Swiderska-Chadaj, H. Pinckaers, M. van Rijthoven, M. Balkenhol, M. Melnikova, O. Geessink, Q. Manson, G. Litjens, J. van der Laak and F. Ciompi. "Convolutional Neural Networks for Lymphocyte detection in Immunohistochemically Stained Whole-Slide Images", in: Medical Imaging with Deep Learning, 2018. Abstract URL

  22. D. Tellez, J. van der Laak and F. Ciompi. "Gigapixel Whole-Slide Image Classification Using Unsupervised Image Compression And Contrastive Training", in: Medical Imaging with Deep Learning, 2018. Abstract/PDF URL


Abstracts

  1. B. van Ginneken. "Deep Machine Learning for Screening LDCT", in: Journal of Thoracic Oncology, 2018. Abstract/PDF

  2. K. Koschmieder, A. van der Eerden, B. van Ginneken and R. Manniesing. "Brain Extraction in Susceptibility-Weighted MR Images using Deep Learning", in: Annual Meeting of the Radiological Society of North America, 2018. Abstract/PDF

  3. F.J. Meijer, P.W. Willems, M. Meijs and R. Manniesing. "Color-mapping visualization of 4D-CTA in neurovascular disease", in: European Society of Neuroradiology, 2018. Abstract/PDF

  4. M. Meijs, A. Patel, S.C. van de Leemput, B. van Ginneken, M. Prokop and R. Manniesing. "Fast, Robust and Accurate Segmentation of the Complete Cerebral Vasculature in 4D-CTA using Deep Learning", in: Annual Meeting of the Radiological Society of North America, 2018. Abstract/PDF

  5. M. Hall, A.A.A. Setio, S. Sheridan, M. Sproule, M. Williams, E.T. Scholten, C. Jacobs, B. Van Ginneken and R.G.. "Computer aided detection (CAD) and scoring of lung nodules in a Scottish lung cancer screening programme", in: European Congress of Radiology, 2018. Abstract DOI

  6. A.W. van der Eerden, T.L. van den Heuvel, B.H. Geurts, B. Platel, T.V. Vyveree, L. van den Hauwee, T.M. Andriessen, B.M. Goraj and R. Manniesing. "Automatic versus human detection of traumatic cerebral microbleeds on susceptibility weighted imaging", in: European Congress of Radiology, 2018. Abstract

  7. A. Schreuder, B. van Ginneken, E.T. Scholten, C. Jacobs, M. Prokop, N. Sverzellati, S.R. Desai, A. Devaraj and C.M. Schaefer-Prokop. "What is a perifissural nodule? Low inter-observer agreement in NLST data", in: European Societies of Cardiovascular Radiology and Thoracic Imaging joint meeting, 2018. Abstract

  8. A. Schreuder, C. Jacobs, N. Lessmann, E.T. Scholten, I. Isgum, M. Prokop, C.M. Schaefer-Prokop and B. van Ginneken. "Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements", in: World Conference on Lung Cancer, 2018. Abstract

  9. A. Schreuder, C.M. Schaefer-Prokop, E.T. Scholten, D. Lynch, J.-P. Charbonnier and C. Jacobs. "Perifissural nodule count as a biomarker for COPD GOLD stages and emphysema measurements?", in: European Societies of Cardiovascular Radiology and Thoracic Imaging Joint Meeting, 2018. Abstract

  10. E. Smeets, J. Teuwen, J. van der Laak, M. Gotthardt, F. Ciompi and E. Aarntzen. "Tumor heterogeneity as a PET-biomarker predicts overall survival of pancreatic cancer patients", in: European Society for Molecular Imaging, 2018. Abstract


Theses

  1. T.A. Ableef. "Malignancy estimation of Pulmonary Nodules using Multi-View Multi-Time Point Convolutional Neural Networks", Masters thesis, University of Girona (MAIA master program), 2018. Abstract/PDF

  2. C. Kamphuis. "Automatic Segmentation of Retinal Layers in Optical Coherence Tomography using Deep Learning Techniques", Masters thesis, Radboud Universiteit / Radboud UMC, 2018. PDF

  3. J. van Kleef. "Robust and accurate cerebral hemisphere segmentation in non-contrast CT using a 2.5D Dense U-Net", Masters thesis, Radboud University / Radboud UMC, 2018. Abstract/PDF

  4. K. Chung. "Malignancy risk estimation of subsolid nodules", PhD thesis, Radbouduniversity, Nijmegen, The Netherlands, 2018. Abstract/PDF URL

  5. M. Ghafoorian. "Machine Learning for Quantification of Small Vessel Disease Imaging Biomarkers", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2018. Abstract/PDF URL

  6. T. van den Heuvel. "Automated low-cost ultrasound: improving antenatal care in resource-limited settings", PhD thesis, The Radbouduniversity, Nijmegen, The Netherlands, 2018. Abstract/PDF

  7. T. Kooi. "Computer aided diagnosis of breast cancer in mammography using deep neural networks", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2018. Abstract/PDF

  8. J.-J. Mordang. "Towards an independent observer of screening mammograms: detection of calcifications", PhD thesis, The Radbouduniversity, Nijmegen, The Netherlands, 2018. Abstract/PDF

  9. A.A.A. Setio. "Computer-aided diagnosis in thoracic CT scans for lung cancer screening", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2018. Abstract/PDF

  10. S. Vreemann. "Breast MRI for screening: evaluation of clinical practice and future perspectives", PhD thesis, Radboud University, Nijmegen, The Netherlands, 2018. Abstract/PDF


Other publications

  1. D. Stoyanov, Z. Taylor, B. Kainz, G. Maicas, R. Beichel, A. Martel, L. Maier-Hein, B. Kanwal, T. Vercauteren, O. Ozan, G. Carneiro, A.P. Bradley, J. Nascimento, H. Min, M.S. Brown, C. Jacobs, B. Lassen-Schmidt, K. Mori, J. Petersen, R.S.J. Estépar, A. Schmidt-Richberg and C. Veiga. "Image Analysis for Moving Organ, Breast and Thoracic Images", 2018. Abstract/PDF DOI