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;4(4):044504.
B. Ehteshami 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. Ahmady 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;318(22):2199-2210.
G. Litjens, T. Kooi, B. Ehteshami 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;42:60-88.
A. Castells-Nobau, B. Nijhof, I. Eidhof, L. Wolf, J. Scheffer-de 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;123(e55395):1-13.
S. Steens, E. Bekers, W. Weijs, G. Litjens, A. Veltien, A. Maat, G. van den Broek, J. van der Laak, J. Futterer, 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;12(5):821-828.
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;44(3):935-948.
W. Mesker, G. van Pelt, A. Huijbers, J. van der Laak, E. Dequeker, J. Fléjou, R. Al Dieri, D. Kerr, J. Van Krieken and R. Tollenaar, "Improving treatment decisions in colon cancer: The tumor-stroma ratio (TSR) additional to the TNM classification",
Annals of Oncology,
2017;28:v190-v191.
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,
2017:929-932.
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,
2017:591-595.
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,
2017:160-163.
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.