Publications

2020

Papers in international journals

  • W. Bulten, H. Pinckaers, H. van Boven, R. Vink, T. de Bel, B. van Ginneken, J. van der Laak, C. de Kaa and G. Litjens. "Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study", Lancet Oncology, 2020. Abstract DOI PMID ARXIV

Papers in conference proceedings

  • C. Mercan, G. Reijnen-Mooij, D. Martin, J. Lotz, N. Weiss, M. van Gerven and F. Ciompi. "Virtual staining for mitosis detection in Breast Histopathology", IEEE International Symposium on Biomedical Imaging, 2020. Abstract

2019

Papers in international journals

  • Z. Swiderska-Chadaj, H. Pinckaers, M. van Rijthoven, M. Balkenhol, M. Melnikova, O. Geessink, Q. Manson, M. Sherman, A. Polonia, J. Parry, M. Abubakar, G. Litjens, J. van der Laak and F. Ciompi. "Learning to detect lymphocytes in immunohistochemistry with deep learning", Medical Image Analysis, 2019. Abstract DOI PMID URL
  • W. Bulten, P. Bándi, J. Hoven, R. van de Loo, J. Lotz, N. Weiss, J. van der Laak, B. van Ginneken, C. 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. Abstract DOI PMID ARXIV
  • D. Tellez, G. Litjens, P. Bándi, W. Bulten, J. Bokhorst, F. Ciompi and J. van der Laak. "Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.", Medical Image Analysis, 2019. Abstract DOI PMID URL
  • M. Hermsen, T. de Bel, M. den Boer, E. Steenbergen, J. Kers, S. Florquin, J. Roelofs, M. Stegall, M. Alexander, B. Smith, B. Smeets, L. Hilbrands and J. van der Laak. "Deep-learning based histopathologic assessment of kidney tissue", Journal of the American Society of Nephrology, 2019. Abstract DOI PMID URL
  • P. Bándi, M. Balkenhol, B. van Ginneken, J. van der Laak and G. Litjens. "Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks", PeerJ, 2019. Abstract DOI PMID URL
  • O. Geessink, A. Baidoshvili, J. Klaase, B. 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. Abstract DOI PMID
  • I. Munsterman, M. Erp, G. Weijers, C. Bronkhorst, C. de Korte, J. Drenth, J. van der Laak and E. Tjwa. "A Novel Automatic Digital Algorithm that Accurately Quantifies Steatosis in NAFLD on Histopathological Whole-Slide Images", Cytometry Part B-Clinical Cytometry, 2019. Abstract DOI PMID
  • M. Balkenhol, P. Bult, D. Tellez, W. Vreuls, P. Clahsen, F. Ciompi and J. van der Laak. "Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer", Cellular Oncology, 2019. Abstract DOI PMID
  • M. Balkenhol, D. Tellez, W. Vreuls, P. Clahsen, H. Pinckaers, F. Ciompi, P. Bult and J. van der Laak. "Deep learning assisted mitotic counting for breast cancer", Laboratory Investigation, 2019. Abstract DOI PMID URL
  • J. Bokhorst, A. Blank, A. Lugli, I. Zlobec, H. Dawson, M. Vieth, L. Rijstenberg, S. Brockmoeller, M. Urbanowicz, J. Flejou, R. Kirsch, F. Ciompi, J. van der Laak and I. Nagtegaal. "Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning", Modern Pathology, 2019. Abstract DOI PMID URL
  • L. Aprupe, G. Litjens, T. Brinker, J. van der Laak and N. Grabe. "Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks", PeerJ, 2019. Abstract DOI PMID
  • D. Tellez, G. Litjens, J. van der Laak and F. Ciompi. "Neural Image Compression for Gigapixel Histopathology Image Analysis", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019. Abstract DOI PMID URL
  • A. Halilovic, D. Verweij, A. Simons, M. Stevens-Kroef, S. Vermeulen, J. Elsink, B. Tops, I. Otte-Höller, J. van der Laak, C. van de Water, O. Boelens, M. Schlooz-Vries, J. Dijkstra, I. Nagtegaal, J. Tol, P. van Cleef, P. Span and P. Bult. "HER2, chromosome 17 polysomy and DNA ploidy status in breast cancer; a translational study", Scientific Reports, 2019. Abstract DOI PMID URL
  • E. Abels, L. Pantanowitz, F. Aeffner, M. Zarella, J. van der Laak, M. Bui, V. Vemuri, A. Parwani, J. Gibbs, E. Agosto-Arroyo, A. Beck and C. Kozlowski. "Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association", Journal of Pathology, 2019. Abstract DOI PMID
  • B. Sturm, D. Creytens, M. Cook, J. Smits, M. van Dijk, E. Eijken, E. Kurpershoek, H. Küsters-Vandevelde, A. Ooms, C. Wauters, W. Blokx and J. van der Laak. "Validation of Whole-slide Digitally Imaged Melanocytic Lesions: Does Z-Stack Scanning Improve Diagnostic Accuracy?", Journal of Pathology Informatics, 2019. Abstract DOI PMID URL
  • J. van der Laak, F. Ciompi and G. Litjens. "No pixel-level annotations needed", Nature Biomedical Engineering, 2019. Abstract DOI PMID URL
  • M. Mullooly, B. Bejnordi, R. Pfeiffer, S. Fan, M. Palakal, M. Hada, P. Vacek, D. Weaver, J. Shepherd, B. Fan, A. Mahmoudzadeh, J. Wang, S. Malkov, J. Johnson, S. Herschorn, B. Sprague, S. Hewitt, L. Brinton, N. Karssemeijer, J. van der Laak, A. Beck, M. Sherman and G. Gierach. "Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density", Nature Partner Journals Breast Cancer, 2019. Abstract DOI PMID
  • G. Litjens, F. Ciompi, J. Wolterink, B. de Vos, T. Leiner, J. Teuwen and I. Išgum. "State-of-the-Art Deep Learning in Cardiovascular Image Analysis.", JACC Cardiovascular Imaging, 2019. Abstract DOI PMID
  • M. Maas, G. Litjens, A. Wright, U. Attenberger, M. Haider, T. Helbich, B. Kiefer, K. Macura, D. Margolis, A. Padhani, K. Selnæs, G. Villeirs, J. Fütterer and T. Scheenen. "A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach", Investigative Radiology, 2019. Abstract DOI PMID
  • O. Debats, G. Litjens and H. Huisman. "Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks.", PeerJ, 2019. Abstract DOI PMID
  • M. Veta, Y. Heng, N. Stathonikos, B. Bejnordi, F. Beca, T. Wollmann, K. Rohr, M. Shah, D. Wang, M. Rousson, M. Hedlund, D. Tellez, F. Ciompi, E. Zerhouni, D. Lanyi, M. Viana, V. Kovalev, V. Liauchuk, H. Phoulady, T. Qaiser, S. Graham, N. Rajpoot, E. Sjöblom, J. Molin, K. Paeng, S. Hwang, S. Park, Z. Jia, E. Chang, Y. Xu, A. Beck, P. van Diest and J. Pluim. "Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge", Medical Image Analysis, 2019. Abstract DOI PMID

Preprints

  • H. Pinckaers, B. van Ginneken and G. Litjens. "Streaming convolutional neural networks for end-to-end learning with multi-megapixel images", arXiv:1911.04432, 2019. Abstract
  • A. Simpson, M. Antonelli, S. Bakas, M. Bilello, K. Farahani, B. van Ginneken, A. Kopp-Schneider, B. Landman, G. Litjens, B. Menze, O. Ronneberger, R. Summers, P. Bilic, P. Christ, R. Do, M. Gollub, J. Golia-Pernicka, S. Heckers, W. Jarnagin, M. McHugo, S. Napel, E. Vorontsov, L. Maier-Hein and M. Cardoso. "A large annotated medical image dataset for the development and evaluation of segmentation algorithms", arXiv:1902.09063, 2019. Abstract ARXIV

Papers in conference proceedings

  • K. Dercksen, W. Bulten and G. Litjens. "Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification", Medical Imaging with Deep Learning, 2019. Abstract URL
  • H. Pinckaers, W. Bulten and G. Litjens. "High resolution whole prostate biopsy classification using streaming stochastic gradient descent", Medical Imaging, 2019. Abstract DOI
  • T. de Bel, M. Hermsen, J. Kers, J. van der Laak and G. Litjens. "Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology", Medical Imaging with Deep Learning, 2019. Abstract URL
  • C. Mercan, M. Balkenhol, J. van der Laak and F. Ciompi. "From Point Annotations to Epithelial Cell Detection in Breast Cancer Histopathology using RetinaNet", Medical Imaging with Deep Learning, 2019. Abstract URL
  • J. Bokhorst, H. Pinckaers, P. van Zwam, I. Nagetgaal, J. van der Laak and F. Ciompi. "Learning from sparsely annotated data for semantic segmentation in histopathology images", Medical Imaging with Deep Learning, 2019. Abstract URL

Abstracts

  • W. Bulten, H. Pinckaers, C. de Kaa and G. Litjens. "Automated Gleason Grading of Prostate Biopsies Using Deep Learning", United States and Canadian Academy of Pathology (USCAP) 108th Annual Meeting, 2019. Abstract
  • J. Bokhorst, H. Dawson, A. Blank, I. Zlobec, A. Lugli, M. Vieth, R. Kirsch, M. Urbanowicz, S. Brockmoeller, J. Flejou, L. Rijstenberg, J. van der Laak, F. Ciompi and I. Nagtegaal. "Assessment of tumor buds in colorectal cancer. A large-scale international digital observer study", European Congress of Pathology, 2019. Abstract

Theses

  • M. Kok. "Metastases Detection in Lymph Nodes using Transfer Learning", 2019. Abstract
  • J. Winkens. "Out-of-distribution detection for computational pathology with multi-head ensembles", 2019. Abstract

2018

Papers in international journals

  • P. Bándi, O. Geessink, Q. Manson, M. van Dijk, M. Balkenhol, M. Hermsen, B. Bejnordi, B. Lee, K. Paeng, A. Zhong, Q. Li, F. Zanjani, S. Zinger, K. Fukuta, D. Komura, V. Ovtcharov, S. Cheng, S. Zeng, J. Thagaard, A. 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, 2018. Abstract DOI PMID
  • G. Litjens, P. Bándi, B. 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. Abstract DOI PMID
  • 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, 2018. Abstract DOI PMID
  • A. Baidoshvili, A. Bucur, J. van Leeuwen, J. van der Laak, P. Kluin and P. van Diest. "Evaluating the benefits of digital pathology implementation: time savings in laboratory logistics", Histopathology, 2018. Abstract DOI PMID
  • A. Baidoshvili, N. Stathonikos, G. Freling, J. Bart, N. ‘t Hart, J. van der Laak, J. Doff, B. van der Vegt, M. Philip and P. van Dies. "Validation of a whole-slide image-based teleconsultation network", Histopathology, 2018. Abstract DOI PMID
  • B. Bejnordi, G. Litjens and J. van der Laak. "Machine Learning Compared With Pathologist Assessment-Reply", Journal of the American Medical Association, 2018. Abstract DOI PMID
  • B. Bejnordi, M. Mullooly, R. Pfeiffer, S. Fan, P. Vacek, D. Weaver, S. Herschorn, L. Brinton, B. van Ginneken, N. Karssemeijer, A. Beck, G. Gierach, J. van der Laak and M. Sherman. "Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies", Modern Pathology, 2018. Abstract DOI PMID
  • C. Reijnen, H. Küsters-Vandevelde, K. Abbink, P. Zusterzeel, A. van Herwaarden, J. van der Laak, L. Massuger, M. Snijders, J. Pijnenborg and J. Bulten. "Quantification of Leydig cells and stromal hyperplasia in the postmenopausal ovary of women with endometrial carcinoma", Human Pathology, 2018. Abstract DOI PMID
  • 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, 2018. Abstract DOI PMID
  • J. Charbonnier, K. Chung, E. Scholten, E. 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. Abstract DOI PMID
  • K. Chung, F. Ciompi, J. Scholten E. Th. Goo, M. Prokop, C. Jacobs, B. van Ginneken and C. Schaefer-Prokop. "Visual Discrimination of Screen-detected Persistent from Transient Subsolid Nodules: an Observer Study", PLoS One, 2018. Abstract DOI PMID
  • M. Silva, M. Prokop, C. Jacobs, G. Capretti, N. Sverzellati, F. Ciompi, B. van Ginneken, C. 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. Abstract DOI PMID
  • M. Silva, C. 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. Abstract DOI PMID

Preprints

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

Papers in conference proceedings

  • M. van Rijthoven, Z. Swiderska-Chadaj, K. Seeliger, J. van der Laak and F. Ciompi. "You Only Look on Lymphocytes Once", Medical Imaging with Deep Learning, 2018. Abstract URL
  • 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", Medical Imaging with Deep Learning, 2018. Abstract URL
  • W. Bulten, C. de Kaa, J. van der Laak and G. Litjens. "Automated segmentation of epithelial tissue in prostatectomy slides using deep learning", Medical Imaging, 2018. Abstract DOI
  • W. Bulten and G. Litjens. "Unsupervised Prostate Cancer Detection on H&E using Convolutional Adversarial Autoencoders", Medical Imaging with Deep Learning, 2018. Abstract URL
  • 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", Medical Imaging, 2018. Abstract DOI
  • J. Bokhorst, L. Rijstenberg, D. Goudkade, I. Nagtegaal, J. van der Laak and F. Ciompi. "Automatic Detection of Tumor Budding in Colorectal Carcinoma with Deep Learning", Computational Pathology and Ophthalmic Medical Image Analysis, 2018. Abstract DOI URL
  • D. Geijs, M. Intezar, J. van der Laak and G. Litjens. "Automatic color unmixing of IHC stained whole slide images", Medical Imaging, 2018. Abstract DOI
  • D. Tellez, J. van der Laak and F. Ciompi. "Gigapixel Whole-Slide Image Classification Using Unsupervised Image Compression And Contrastive Training", Medical Imaging with Deep Learning, 2018. Abstract URL

Abstracts

  • M. Hermsen, T. de Bel, M. den Boer, E. Steenbergen, J. Kers, S. Florquin, B. Smeets, L. Hilbrands and J. van der Laak. "Glomerular detection, segmentation and counting in PAS-stained histopathological slides using deep learning", Dutch Federation of Nephrology (NfN) Fall Symposium, 2018. Abstract
  • 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", European Society for Molecular Imaging, 2018. Abstract

2017

Papers in international journals

  • A. Setio, A. Traverso, T. de Bel, M. Berens, C. Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts, R. Gugten, P. Heng, B. Jansen, M. de Kaste, V. Kotov, J. Lin, J. Manders, A. Sóñora-Mengana, J. García-Naranjo, E. Papavasileiou, M. Prokop, M. Saletta, C. Schaefer-Prokop, E. Scholten, L. Scholten, M. Snoeren, E. Torres, J. Vandemeulebroucke, N. Walasek, G. Zuidhof, B. Ginneken and C. Jacobs. "Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge", Medical Image Analysis, 2017. Abstract DOI PMID ARXIV
  • B. Bejnordi, M. Veta, P. van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, J. van der Laak, T. Consortium, M. Hermsen, Q. Manson, M. Balkenhol, O. Geessink, N. Stathonikos, M. van Dijk, P. Bult, F. Beca, A. Beck, D. Wang, A. Khosla, R. Gargeya, H. Irshad, A. Zhong, Q. Dou, Q. Li, H. Chen, H. Lin, P. Heng, C. Haß, E. Bruni, Q. Wong, U. Halici, M. Öner, R. Cetin-Atalay, M. Berseth, V. Khvatkov, A. Vylegzhanin, O. Kraus, M. Shaban, N. Rajpoot, R. Awan, K. Sirinukunwattana, T. Qaiser, Y. Tsang, D. Tellez, J. Annuscheit, P. Hufnagl, M. Valkonen, K. Kartasalo, L. Latonen, P. Ruusuvuori, K. Liimatainen, S. Albarqouni, B. Mungal, A. George, S. Demirci, N. Navab, S. Watanabe, S. Seno, Y. Takenaka, H. Matsuda, H. Phoulady, V. Kovalev, A. Kalinovsky, V. Liauchuk, G. Bueno, M. Fernandez-Carrobles, I. Serrano, O. Deniz, D. Racoceanu and R. Venâncio. "Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer", Journal of the American Medical Association, 2017. Abstract DOI PMID
  • B. Bejnordi, G. Zuidhof, M. Balkenhol, M. Hermsen, P. Bult, B. van Ginneken, N. Karssemeijer, G. Litjens and J. van der Laak. "Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images", Journal of Medical Imaging, 2017. Abstract DOI PMID
  • T. Mertzanidou, J. Hipwell, S. Reis, D. Hawkes, B. Bejnordi, M. Dalmis, S. Vreemann, B. Platel, J. van der Laak, N. Karssemeijer, M. Hermsen, P. Bult and R. Mann. "3D volume reconstruction from serial breast specimen radiographs for mapping between histology and 3D whole specimen imaging", Medical Physics, 2017. Abstract DOI PMID
  • J. van Zelst, M. Balkenhol, T. Tan, M. Rutten, M. Imhof-Tas, P. Bult, N. Karssemeijer and R. Mann. "Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound", Ultrasound in Medicine and Biology, 2017. Abstract DOI PMID
  • A. Castells-Nobau, B. Nijhof, I. Eidhof, L. Wolf, J. Gooyert, I. Monedero, L. Torroja, J. van der Laak and A. Schenck. "Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology", JoVE, 2017. Abstract DOI URL
  • G. Litjens, T. Kooi, B. Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken and C. Sánchez. "A Survey on Deep Learning in Medical Image Analysis", Medical Image Analysis, 2017. Abstract DOI PMID ARXIV
  • S. Steens, E. Bekers, W. Weijs, G. Litjens, A. Veltien, A. Maat, G. van den Broek, J. van der Laak, J. Fütterer, C. van der Kaa, M. Merkx and R. Takes. "Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.", International journal of computer assisted radiology and surgery, 2017. Abstract DOI PMID
  • M. Dalmis, G. Litjens, K. Holland, A. Setio, R. Mann, N. Karssemeijer and A. Gubern-Mérida. "Using deep learning to segment breast and fibroglandular tissue in MRI volumes", Medical Physics, 2017. Abstract DOI PMID
  • M. Ghafoorian, N. Karssemeijer, T. Heskes, I. van Uden, C. Sánchez, G. Litjens, F. de Leeuw, B. van Ginneken, E. Marchiori and B. Platel. "Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities", Nature Scientific Reports, 2017. Abstract DOI PMID ARXIV
  • T. Kooi, G. Litjens, B. van Ginneken, A. Gubern-Mérida, C. Sánchez, R. Mann, A. den Heeten and N. Karssemeijer. "Large scale deep learning for computer aided detection of mammographic lesions", Medical Image Analysis, 2017. Abstract DOI PMID
  • S. Laban, G. Giebel, N. Klümper, A. Schröck, J. Doescher, G. Spagnoli, J. Thierauf, M. Theodoraki, R. Remark, S. Gnjatic, R. Krupar, A. Sikora, G. Litjens, N. Grabe, G. Kristiansen, F. Bootz, P. Schuler, C. Brunner, J. Brägelmann, T. Hoffmann and S. Perner. "MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences: implications for immunotherapy", Oncotarget, 2017. Abstract DOI PMID
  • J. Charbonnier, E. van Rikxoort, A. Setio, C. Schaefer-Prokop, B. van Ginneken and F. Ciompi. "Improving Airway Segmentation in Computed Tomography using Leak Detection with Convolutional Networks", Medical Image Analysis, 2017. Abstract DOI PMID URL
  • K. Chung, C. Jacobs, E. Scholten, J. Goo, H. Prosch, N. Sverzellati, F. Ciompi, O. Mets, P. Gerke, M. Prokop, B. van Ginneken and C. Schaefer-Prokop. "Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?", Radiology, 2017. Abstract DOI PMID
  • F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano, U. Pastorino, M. Prokop and B. van Ginneken. "Towards automatic pulmonary nodule management in lung cancer screening with deep learning", Nature Scientific Reports, 2017. Abstract DOI PMID ARXIV
  • S. van Riel, F. Ciompi, C. Jacobs, M. Wille, E. Scholten, M. Naqibullah, S. Lam, M. Prokop, C. Schaefer-Prokop and B. van Ginneken. "Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines", European Radiology, 2017. Abstract DOI PMID
  • S. van Riel, F. Ciompi, M. Wille, A. Dirksen, S. Lam, E. Scholten, S. Rossi, N. Sverzellati, M. Naqibullah, R. Wittenberg, M. Boer, M. Snoeren, L. Peters-Bax, O. Mets, M. Brink, M. Prokop, C. Schaefer-Prokop and B. van Ginneken. "Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers", PLoS One, 2017. Abstract DOI PMID

Papers in conference proceedings

  • P. Bándi, R. van de Loo, M. Intezar, D. Geijs, F. Ciompi, B. van Ginneken, J. van der Laak and G. Litjens. "Comparison of Different Methods for Tissue Segmentation In Histopathological Whole-Slide Images", IEEE International Symposium on Biomedical Imaging, 2017. Abstract DOI ARXIV
  • F. Ciompi, O. Geessink, B. Bejnordi, G. de Souza, A. Baidoshvili, G. Litjens, B. van Ginneken,, I. Nagtegaal and J. van der Laak. "The importance of stain normalization in colorectal tissue classification with convolutional networks", IEEE International Symposium on Biomedical Imaging, 2017. Abstract DOI ARXIV
  • B. Bejnordi, J. Lin, B. Glass, M. Mullooly, G. Gierach, M. Sherman, N. Karssemeijer, J. van der Laak and A. Beck. "Deep learning-based assessment of tumor-associated stroma for diagnosing breast cancer in histopathology images", IEEE International Symposium on Biomedical Imaging, 2017. Abstract DOI PMID ARXIV

Abstracts

  • M. Hermsen, T. de Bel, M. van de Warenburg, J. Knuiman, E. Steenbergen, G. Litjens, B. Smeets, L. Hilbrands and J. van der Laak. "Automatic segmentation of histopathological slides from renal allograft biopsies using artificial intelligence", Dutch Federation of Nephrology (NfN) Fall Symposium, 2017. Abstract
  • M. Silva, G. Capretti, N. Sverzellati, C. Jacobs, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, A. Marchianò and U. Pastorino. "Subsolid and part-solid nodules in lung cancer screening: comparison between visual and computer-aided detection", European Congress of Radiology, 2017. Abstract
  • M. Silva, G. Capretti, N. Sverzellati, C. Jacobs, F. Ciompi, B. van Ginneken, C. Schaefer-Prokop, M. Prokop, A. Marchiano and U. Pastorino. "Non-solid and Part-solid Nodules: Comparison Between Visual and Computer Aided Detection", World Congress of Thoracic Imaging, 2017. Abstract

Theses

  • B. Bejnordi. "Histopathological diagnosis of breast cancer using machine learning", 2017. Abstract URL
  • J. Charbonnier. "Segmentation & quantification of airways and blood vessels in chest CT", 2017. Abstract URL

2016

Papers in international journals

  • G. Litjens, C. Sánchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. 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. Abstract DOI PMID URL
  • 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. Abstract DOI PMID URL
  • 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. Abstract DOI PMID URL
  • T. Kobus, J. van der Laak, M. Maas, T. Hambrock, C. Bruggink, C. 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. Abstract DOI
  • T. Kobus, J. van der Laak, M. Maas, T. Hambrock, C. Bruggink, C. 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. Abstract DOI PMID URL
  • B. Nijhof, A. Castells-Nobau, L. Wolf, J. Gooyert, I. Monedero, L. Torroja, L. Coromina, J. van der Laak and A. Schenck. "A New Fiji-Based Algorithm That Systematically Quantifies Nine Synaptic Parameters Provides Insights into Drosophila NMJ Morphometry", PLOS Comput Biol, 2016. Abstract
  • 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. Abstract DOI PMID
  • 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. Abstract DOI PMID URL
  • G. Litjens, R. Elliott, N. Shih, M. Feldman, T. Kobus, C. 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. Abstract DOI PMID URL
  • 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. Abstract DOI PMID URL
  • 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. Abstract DOI PMID
  • 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. Abstract DOI PMID URL
  • 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. Abstract DOI PMID

Papers in conference proceedings

  • 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. Abstract DOI
  • G. Litjens, K. Safferling and N. Grabe. "Automated robust registration of grossly misregistered whole-slide images with varying stains", Medical Imaging, 2016. Abstract DOI
  • N. Lessmann, I. I\vsgum , 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. Abstract DOI

Abstracts

  • 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
  • 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

2015

Papers in international journals

  • T. Kobus, J. van der Laak, M. Maas, T. Hambrock, C. Bruggink, C. de Kaa, T. Scheenen and A. Heerschap. "Contribution of Histopathologic Tissue Composition to Quantitative MR Spectroscopy and Diffusion-weighted Imaging of the Prostate.", Radiology, 2015. Abstract DOI PMID URL
  • J. Oosterwijk-Wakka, M. de Weijert, G. Franssen, W. Leenders, J. van der Laak, O. Boerman, P. Mulders and E. Oosterwijk. "Successful Combination of Sunitinib and Girentuximab in Two Renal Cell Carcinoma Animal Models: A Rationale for Combination Treatment of Patients with Advanced RCC", Neoplasia, 2015. Abstract DOI PMID
  • L. Sonnemans, N. Köster, M. Prokop, J. van der Laak and W. Klein. "Liver parenchyma at the site of hypodense parafissural pseudolesion contains increased collagen", Abdominal Imaging, 2015. Abstract DOI PMID
  • G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman. "Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI", European Radiology, 2015. Abstract DOI PMID
  • E. Vos, T. Kobus, G. Litjens, T. Hambrock, C. de Kaa, J. Barentsz, M. Maas and T. Scheenen. "Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer", Investigative Radiology, 2015. Abstract DOI PMID
  • F. Ciompi, B. de Hoop, S. van Riel, K. Chung, E. Scholten, M. Oudkerk, P. de Jong, M. Prokop and B. van Ginneken. "Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box", Medical Image Analysis, 2015. Abstract DOI PMID URL
  • F. Ciompi, C. Jacobs, E. Scholten, M. Wille, P. de Jong, M. Prokop and B. van Ginneken. "Bag of frequencies: a descriptor of pulmonary nodules in Computed Tomography images", IEEE Transactions on Medical Imaging, 2015. Abstract DOI PMID

Papers in conference proceedings

  • O. Geessink, A. Baidoshvili, G. Freling, J. Klaase, C. Slump and F. van der Heijden. "Toward automatic segmentation and quantification of tumor and stroma in whole-slide images of H and E stained rectal carcinomas", SPIE Medical Imaging, 2015. Abstract DOI
  • B. Bejnordi, G. Litjens, M. Hermsen, N. Karssemeijer and J. van der Laak. "A multi-scale superpixel classification approach for region of interest detection in whole slide histopathology images", Medical Imaging, 2015. Abstract DOI
  • G. Litjens, B. Bejnordi, N. Timofeeva, G. Swadi, I. Kovacs, C. de Kaa and J. van der Laak. "Automated detection of prostate cancer in digitized whole-slide images of H&E-stained biopsy specimens", Medical Imaging, 2015. Abstract DOI
  • F. Ciompi, C. Jacobs, E. Scholten, S. van Riel, M. Wille, M. Prokop and B. van Ginneken. "Automatic detection of spiculation of pulmonary nodules in Computed Tomography images", Medical Imaging, 2015. Abstract DOI
  • B. van Ginneken, A. Setio, C. Jacobs and F. Ciompi. "Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans", IEEE International Symposium on Biomedical Imaging, 2015. Abstract DOI
  • A. Setio, C. Jacobs, F. Ciompi, S. van Riel, M. Wille, A. Dirksen, E. van Rikxoort and B. van Ginneken. "Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model", Medical Imaging, 2015. Abstract DOI
  • S. van de Leemput, F. Dorssers and B. Bejnordi. "A novel spherical shell filter for reducing false positives in automatic detection of pulmonary nodules in thoracic CT scans", Medical Imaging, 2015. Abstract DOI

Abstracts

  • J. Charbonnier, M. Brink, F. Ciompi, E. Scholten, C. Schaefer-Prokop and E. Rikxoort. "Automatic Separation and Classification of Arteries and Veins in Non-Contrast Thoracic CT Scans", Annual Meeting of the Radiological Society of North America, 2015. Abstract URL
  • K. Chung, E. Scholten, S. van Riel, F. Ciompi, P. de Jong, M. Wille, M. Prokop, B. van Ginneken and C. Schaefer-Prokop. "Differentiation of persistent and transient subsolid nodules: does morphology help?", European Congress of Radiology, 2015. Abstract
  • S. van Riel, F. Ciompi, M. Wille, M. Naqibullah, E. Scholten, C. Schaefer-Prokop and B. van Ginneken. "Lung-RADS versus the McWilliams nodule malignancy score for risk prediction: an evaluation using lesions from the DLCST Trial", World Conference on Lung Cancer, 2015. Abstract
  • S. van Riel, F. Ciompi, M. Wille, E. Scholten, A. Dirksen, K. Chung, M. Prokop, C. Schaefer-Prokop and B. van Ginneken. "Comparing LungRADS and the McWilliams nodule malignancy score: which approach works best to select screen detected pulmonary nodules for more aggressive followup?", Annual Meeting of the Radiological Society of North America, 2015. Abstract
  • S. van Riel, F. Ciompi, M. Wille, E. Scholten, N. Sverzellati, S. Rossi, A. Dirksen, M. Brink, R. Wittenberg, M. Naqibullah, M. Prokop, C. Schaefer-Prokop and B. van Ginneken. "Can morphological features differentiate between malignant and benign pulmonary nodules, detected in a screen setting?", Annual Meeting of the Radiological Society of North America, 2015. Abstract

Theses

  • G. Litjens. "Computerized detection of cancer in multi-parametric prostate MRI", 2015. Abstract URL

2014

Papers in international journals

  • A. van Berkel, J. Rao, B. Kusters, T. Demir, E. Visser, A. Mensenkamp, J. van der Laak, E. Oosterwijk, J. Lenders, F. Sweep, R. Wevers, A. Hermus, J. Langenhuijsen, D. Kunst, K. Pacak, M. Gotthardt and H. Timmers. "Correlation Between In Vivo 18F-FDG PET and Immunohistochemical Markers of Glucose Uptake and Metabolism in Pheochromocytoma and Paraganglioma", Journal of Nuclear Medicine, 2014. Abstract DOI PMID
  • L. Martinez, E. Friedländer, J. van der Laak and K. Hebeda. "Abundance of IgG4+ Plasma Cells in Isolated Reactive Lymphadenopathy Is No Indication of IgG4-Related Disease", American Journal of Clinical Pathology, 2014. Abstract DOI
  • C. van Niekerk, J. van der Laak, T. Hambrock, H. Huisman, J. Witjes, J. Barentsz and C. de Kaa. "Correlation between dynamic contrast-enhanced MRI and quantitative histopathologic microvascular parameters in organ-confined prostate cancer", European Radiology, 2014. Abstract DOI PMID
  • S. van der Wal, M. Vaneker, M. Steegers, V. B, M. Kox, J. van der Laak, J. van der Hoeven, K. Vissers and G. Scheffer. "Lidocaine increases the anti-inflammatory cytokine IL-10 following mechanical ventilation in healthy mice", Acta Anaesthesiologica Scandinavica, 2014. Abstract DOI
  • G. Litjens, O. Debats, J. Barentsz, N. Karssemeijer and H. Huisman. "Computer-aided detection of prostate cancer in MRI", IEEE Transactions on Medical Imaging, 2014. Abstract DOI PMID
  • G. Litjens, R. Toth, W. van de Ven, C. Hoeks, S. Kerkstra, B. van Ginneken, G. Vincent, G. Guillard, N. Birbeck, J. Zhang, R. Strand, F. Malmberg, Y. Ou, C. Davatzikos, M. Kirschner, F. Jung, J. Yuan, W. Qiu, Q. Gao, P. Edwards, B. Maan, F. van der Heijden, S. Ghose, J. Mitra, J. Dowling, D. Barratt, H. Huisman and A. Madabhushi. "Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge", Medical Image Analysis, 2014. Abstract DOI PMID
  • G. Litjens, H. Huisman, R. Elliott, N. Shih, M. Feldman, S. Viswanath, J. Fütterer, J. Bomers and A. Madabhushi. "Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy", Journal of Medical Imaging, 2014. Abstract DOI URL
  • S. Balocco, C. Gatta, F. Ciompi, A. Wahle, P. Radeva, S. Carlier, G. Unal, E. Sanidas, J. Mauri, X. Carillo, T. Kovarnik, C. Wang, H. Chen, T. Exarchos, D. Fotiadis, F. Destrempes, G. Cloutier, O. Pujol, M. Alberti, E. Mendizabal-Ruiz, M. Rivera, T. Aksoy, R. Downe and I. Kakadiaris. "Standardized evaluation methodology and reference database for evaluating IVUS image segmentation", Computerized Medical Imaging and Graphics, 2014. Abstract DOI PMID
  • F. Ciompi, O. Pujol and P. Radeva. "ECOC-DRF: Discriminative Random Fields based on Error-Correcting Output Codes", Pattern Recognition, 2014. Abstract DOI
  • C. Gatta and F. Ciompi. "Stacked sequential scale-space taylor context", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014. Abstract DOI URL

Papers in conference proceedings

  • B. Bejnordi, N. Timofeeva, I. Otte-Höller, N. Karssemeijer and J. van der Laak. "Quantitative analysis of stain variability in histology slides and an algorithm for standardization", Medical Imaging, 2014. Abstract DOI
  • G. Litjens, R. Elliott, N. Shih, M. Feldman, J. Barentsz, C. - van de Kaa, I. Kovacs, H. Huisman and A. Madabhushi. "Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI", Medical Imaging, 2014. Abstract DOI
  • G. Litjens, H. Huisman, R. Elliott, N. Shih, M. Feldman, Fütterer, J. Bomers and A. Madabhushi. "Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation", Medical Imaging, 2014. Abstract DOI
  • Q. Mahmood, A. Chodorowski, B. Bejnordi and M. Persson. "A fully automatic unsupervised segmentation framework for the brain tissues in MR images", Medical Imaging, 2014. Abstract DOI

Abstracts

  • G. Litjens, N. Karssemeijer, J. Barentsz and H. Huisman. "Computer-aided Detection of Prostate Cancer in Multi-parametric Magnetic Resonance Imaging", Annual Meeting of the Radiological Society of North America, 2014. Abstract
  • E. Vos, T. Kobus, G. Litjens, T. Hambrock, C. - van de Kaa, M. Maas and T. Scheenen. "Multiparametric MR imaging for the assessment of prostate cancer aggressiveness at 3 Tesla", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2014. Abstract
  • F. Ciompi, B. de Hoop, C. Jacobs, M. Prokop, P. a de Jong and B. van Ginneken. "Automatic Classification of Perifissural Pulmonary Nodules in Thoracic CT Images", Annual Meeting of the Radiological Society of North America, 2014. Abstract

Theses

  • G. van Niekerk. "Comparing microvessel density of Prostate tumors to normal Prostate tissue in order to research the validity of images found by Dynamic Contrast Enhanced Magnetic Resonance Imaging", 2014. Abstract URL

2013

Papers in international journals

  • A. Navis, A. Bourgonje, P. Wesseling, A. Wright, W. Hendriks, K. Verrijp, J. van der Laak, A. Heerschap and W. Leenders. "Effects of Dual Targeting of Tumor Cells and Stroma in Human Glioblastoma Xenografts with a Tyrosine Kinase Inhibitor against c-MET and VEGFR2", PLoS One, 2013. Abstract DOI PMID
  • C. van Niekerk, J. Witjes, J. Barentsz, J. van der Laak and C. de Kaa. "Microvascularity in transition zone prostate tumors resembles normal prostatic tissue", Prostate, 2013. Abstract DOI PMID
  • R. van der Post, J. van der Laak, B. Sturm, R. Clarijs, E. Schaafsma, H. van Krieken and M. Nap. "The evaluation of colon biopsies using virtual microscopy is reliable", Histopathology, 2013. Abstract DOI
  • K. Nagel, M. Schouten, T. Hambrock, G. Litjens, C. Hoeks, B. Haken, J. Barentsz and J. Fütterer. "Differentiation of Prostatitis and Prostate Cancer by Using Diffusion-weighted MR Imaging and MR-guided Biopsy at 3 T", Radiology, 2013. Abstract DOI PMID
  • E. Vos, G. Litjens, T. Kobus, T. Hambrock, C. Kaa, J. Barentsz, H. Huisman and T. Scheenen. "Assessment of Prostate Cancer Aggressiveness Using Dynamic Contrast-enhanced Magnetic Resonance Imaging at 3 T", European Urology, 2013. Abstract PMID URL

Papers in conference proceedings

  • F. Ciompi, S. Balocco, C. Caus, J. Mauri and P. Radeva. "Stent Shape Estimation through a Comprehensive Interpretation of Intravascular Ultrasound Images", Medical Image Computing and Computer-Assisted Intervention, 2013. Abstract
  • F. Ciompi, R. Hua, S. Balocco, M. Alberti, O. Pujol, C. Caus, J. Mauri and P. Radeva. "Learning to Detect Stent Struts in Intravascular Ultrasound", Pattern Recognition and Image Analysis, 2013. Abstract URL
  • B. Bejnordi, R. Moshavegh, K. Sujathan, P. Malm, E. Bengtsson and A. Mehnert. "Novel chromatin texture features for the classification of pap smears", Medical Imaging, 2013. Abstract DOI

Abstracts

  • G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman. "Initial prospective evaluation of the prostate imaging reporting and data standard (PI-RADS): Can it reduce unnecessary MR guided biopsies?", Annual Meeting of the Radiological Society of North America, 2013. Abstract
  • M. Maas, M. Koopman, G. Litjens, A. Wright, K. Selnas, I. Gribbestad, M. Haider, K. Macura, D. Margolis, B. Kiefer, J. Fütterer and T. Scheenen. "Prostate Cancer localization with a Multiparametric MR Approach (PCaMAP): initial results of a multi-center study", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2013. Abstract

2012

Papers in international journals

  • R. van der Pluijm, M. Lamers, M. de Boer, W. van der Graaf and H. van Laarhoven. "A female with a leiomyosarcoma presenting with acute thoracic pain and dyspnoea", Netherlands Journal of Medicine, 2012. Abstract PMID
  • T. Roelofsen, L. van Kempen, J. van der Laak, M. van Ham, J. Bulten and L. Massuger. "Concurrent Endometrial Intraepithelial Carcinoma (EIC) and Serous Ovarian Cancer. Can EIC Be Seen as the Precursor Lesion?", International Journal of Gynecological Cancer, 2012. Abstract DOI
  • G. Litjens, T. Hambrock, C. de Kaa, J. Barentsz and H. Huisman. "Interpatient Variation in Normal Peripheral Zone Apparent Diffusion Coefficient: Effect on the Prediction of Prostate Cancer Aggressiveness", Radiology, 2012. Abstract DOI PMID
  • M. Alberti, S. Balocco, C. Gatta, F. Ciompi, O. Pujol, J. Silva, X. Carrillo and P. Radeva. "Automatic bifurcation detection in coronary IVUS sequences", IEEE Transactions on Biomedical Engineering, 2012. Abstract DOI PMID
  • F. Ciompi, O. Pujol, C. Gatta, M. Alberti, S. Balocco, X. Carrillo, J. Mauri-Ferre and P. Radeva. "HoliMAb: A holistic approach for Media--Adventitia border detection in intravascular ultrasound", Medical Image Analysis, 2012. Abstract URL

Papers in conference proceedings

  • G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman. "Automated computer-aided detection of prostate cancer in MR images: from a whole-organ to a zone-based approach", Medical Imaging, 2012. Abstract DOI
  • G. Litjens, O. Debats, W. van de Ven, N. Karssemeijer and H. Huisman. "A pattern recognition approach to zonal segmentation of the prostate on MRI", Medical Image Computing and Computer-Assisted Intervention, 2012. Abstract DOI
  • G. Litjens, N. Karssemeijer and H. Huisman. "A multi-atlas approach for prostate segmentation in MRI", MICCAI} {W}orkshop: {P}rostate {C}ancer {I}maging: The {PROMISE12} Prostate Segmentation Challenge, 2012. Abstract
  • R. Moshavegh, B. Bejnordi, A. Mehnert, K. Sujathan, P. Malm and E. Bengtsson. "Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis", Engineering in Medicine and Biology Society (EMBC), 2012. Abstract DOI

Abstracts

  • G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman. "Computerized characterization of central gland lesions using texture and relaxation features from T2-weighted prostate MRI", Annual Meeting of the Radiological Society of North America, 2012. Abstract
  • E. Vos, G. Litjens, T. Kobus, T. Hambrock, C. van de Kaa, H. Huisman and T. Scheenen. "Dynamic contrast enhanced MR imaging for the assessment of prostate cancer aggressiveness at 3T", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2012. Abstract

Theses

  • F. Ciompi. "Multi-Class Learning for Vessel Characterization in Intravascular Ultrasound", 2012. Abstract URL

2011

Papers in international journals

  • M. Kox, J. Pompe, E. Peters, V. M.,, J. van der Laak, J. van der Hoeven, G. Scheffer, C. Hoedemaekers and P. Pickkers. "a7 Nicotinic acetylcholine receptor agonist GTS-21 attenuates ventilator-induced tumour necrosis factor-a production and lung injury", British Journal of Anaesthesia, 2011. Abstract DOI
  • C. van Niekerk, C. de Kaa, J. Barentsz, J. Witjes and J. van der Laak. "Quantitative analysis of lymph vessel characteristics in organ confined prostate cancer", Prostate, 2011. Abstract DOI PMID
  • O. Debats, G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman. "Automated 3-Dimensional Segmentation of Pelvic Lymph Nodes in Magnetic Resonance Images", Medical Physics, 2011. Abstract DOI PMID
  • X. Carrillo, E. Fernandez-Nofrerias, F. Ciompi, O. Rodriguez-Leor, P. Radeva, N. Salvatella, O. Pujol, J. Mauri and A. Bayes-Genis. "Changes in radial artery volume assessed using intravascular ultrasound: a comparison of two vasodilator regimens in transradial coronary interventions", Journal of Invasive Cardiology, 2011. Abstract URL
  • J. Seabra, F. Ciompi, O. Pujol, J. Mauri, P. Radeva and J. Sanches. "Rayleigh mixture model for plaque characterization in intravascular ultrasound", IEEE Transactions on Biomedical Engineering, 2011. Abstract URL

Papers in conference proceedings

  • G. Litjens, P. Vos, J. Barentsz, N. Karssemeijer and H. Huisman. "Automatic Computer Aided Detection of Abnormalities in Multi-Parametric Prostate MRI", Medical Imaging, 2011. Abstract DOI
  • W. van de Ven, G. Litjens, J. Barentsz, T. Hambrock and H. Huisman. "Required accuracy of MR-US registration for prostate biopsies", P}rostate {C}ancer {I}maging. {I}mage {A}nalysis and {I}mage-{G}uided {I}nterventions, 2011. Abstract DOI
  • M. Alberti, C. Gatta, S. Balocco, F. Ciompi, O. Pujol, J. Silva, X. Carrillo and P. Radeva. "Automatic branching detection in IVUS sequences", Pattern Recognition and Image Analysis, 2011. Abstract URL
  • S. Balocco, C. Gatta, F. Ciompi, O. Pujol, X. Carrillo, J. Mauri and P. Radeva. "Combining Growcut and temporal correlation for IVUS lumen segmentation", Pattern Recognition and Image Analysis, 2011. Abstract URL
  • F. Ciompi, O. Pujol, C. Gatta, X. Carrillo, J. Mauri and P. Radeva. "A holistic approach for the detection of media-adventitia border in IVUS", Medical Image Computing and Computer-Assisted Intervention, 2011. Abstract URL

Abstracts

  • O. Debats, T. Hambrock, G. Litjens, H. Huisman and J. Barentsz. "Detection of Lymph Node Metastases with Ferumoxtran-10 vs Ferumoxytol", Annual Meeting of the Radiological Society of North America, 2011. Abstract
  • G. Litjens, J. Barentsz, N. Karssemeijer and H. Huisman. "Zone-specific Automatic Computer-aided Detection of Prostate Cancer in MRI", Annual Meeting of the Radiological Society of North America, 2011. Abstract
  • M. Schouten, K. Nagel, T. Hambrock, C. Hoeks, G. Litjens, J. Barentsz and J. Fütterer. "Differentiation of Normal Prostate Tissue, Prostatitis, and Prostate Cancer: Correlation between Diffusion-weighted Imaging and MR-guided Biopsy", Annual Meeting of the Radiological Society of North America, 2011. Abstract

2010

Papers in international journals

  • R. Lopata, M. Nillesen, C. Verrijp, S. Singh, M. Lammens, J. van der Laak, H. van Wetten, J. Thijssen, L. Kapusta and C. de Korte. "Cardiac biplane strain imaging: initial in vivo experience", Physics in Medicine and Biology, 2010. Abstract DOI PMID
  • F. Ciompi, O. Pujol, C. Gatta, O. Rodriguez-Leor, J. Mauri-Ferre and P. Radeva. "Fusing in-vitro and in-vivo intravascular ultrasound data for plaque characterization", International Journal of Cardiac Imaging, 2010. Abstract URL

Papers in conference proceedings

  • H. Huisman, P. Vos, G. Litjens, T. Hambrock and J. Barentsz. "Computer aided detection of prostate cancer using t2w, DWI and DCE-MRI: methods and clinical applications", MICCAI} {W}orkshop: {P}rostate {C}ancer {I}maging: {C}omputer {A}ided {D}iagnosis, {P}rognosis, and {I}ntervention, 2010. Abstract
  • G. Litjens, M. Heisen, J. Buurman and B. ter Romeny. "Pharmacokinetic models in clinical practice: what model to use for DCE-MRI of the breast?", IEEE International Symposium on Biomedical Imaging, 2010. Abstract
  • G. Litjens, L. Hogeweg, A. Schilham, P. de Jong, M. Viergever and B. van Ginneken. "Simulation of nodules and diffuse infiltrates in chest radiographs using CT templates", Medical Image Computing and Computer-Assisted Intervention, 2010. Abstract DOI PMID
  • P. Snoeren, G. Litjens, B. van Ginneken and N. Karssemeijer. "Training a Computer Aided Detection System with Simulated Lung Nodules in Chest Radiographs", The Third International Workshop on Pulmonary Image Analysis, 2010. Abstract
  • F. Ciompi, O. Pujol and P. Radeva. "A meta-learning approach to conditional random fields using error-correcting output codes", International Conference on Pattern Recognition, 2010. Abstract URL
  • C. Gatta, S. Balocco, F. Ciompi, R. Hemetsberger, O. Leor and P. Radeva. "Real-time gating of IVUS sequences based on motion blur analysis: method and quantitative validation", Medical Image Computing and Computer-Assisted Intervention, 2010. Abstract URL
  • J. Seabra, J. Sanches, F. Ciompi and P. Radeva. "Ultrasonographic plaque characterization using a rayleigh mixture model", IEEE International Symposium on Biomedical Imaging, 2010. Abstract URL

2009

Papers in international journals

  • C. van Niekerk, J. van der Laak, M. Börger, H. Huisman, J. Witjes, J. Barentsz and C. de Kaa. "Computerized whole slide quantification shows increased microvascular density in pT2 prostate cancer as compared to normal prostate tissue", Prostate, 2009. Abstract DOI PMID

Papers in conference proceedings

  • F. Ciompi, O. Pujol, E. Fernandez-Nofrerias, J. Mauri and P. Radeva. "Ecoc random fields for lumen segmentation in radial artery ivus sequences", Medical Image Computing and Computer-Assisted Intervention, 2009. Abstract URL
  • F. Ciompi, O. Pujol, O. Leor, C. Gatta, A. Vida and P. Radeva. "Enhancing in-vitro IVUS data for tissue characterization", Pattern Recognition and Image Analysis, 2009. Abstract URL
  • C. Gatta, J. Valencia, F. Ciompi, O. Leor and P. Radeva. "Toward robust myocardial blush grade estimation in contrast angiography", Pattern Recognition and Image Analysis, 2009. Abstract URL

Abstracts

  • G. Litjens, M. Heisen, J. Buurman, A. Wood, M. Medved, G. Karczmar and B. Haar-Romeny. "T1 Quantification: Variable Flip Angle Method vs Use of Reference Phantom", Annual Meeting of the Radiological Society of North America, 2009. Abstract

Theses

  • G. Litjens. "Pharmacokinetic modeling in breast cancer MRI", 2009. Abstract

2003

Papers in international journals

  • F. de Lange, A. Cambi, B. Joosten, B. de, M. Koopman, M. Garcia-Parajo, F. van, N. van and C. Figdor. "Micro-domain organization of adhesion receptors of the surface of dendritic cells", Biophysics Journal, 2003. Abstract URL

2001

Papers in international journals

  • B. de Bakker, M. Garcia-Parajo, W. Rensen, N. van, F. de, A. Cambi and C. Figdor. "Study of individual transmembrane proteins using a combined confocal/near field optical microscope", Biophysical Journal, 2001. Abstract URL

1994

Papers in international journals

  • A. van der Steen, J. Thijssen, J. van der Laak, G. Ebben and P. de Wilde. "Correlation of histology and acoustic parameters of liver tissue on a microscopic scale", Ultrasound in Medicine and Biology, 1994. Abstract PMID
  • A. van der Steen, J. Thijssen, J. van der Laak, G. Ebben and P. de Wilde. "A new method to correlate acoustic spectroscopic microscopy (30 MHz) and light microscopy", Journal of Microscopy, 1994. Abstract PMID

1993

Papers in conference proceedings

  • A. van der Steen, J. Thijssen, J. van der Laak, P. de Wilde and G. Ebben. "Quantitative correlation of acoustical and light microscopy", Proc. Int Acoustic Sensing and Imaging Conf, 1993. Abstract