Publications

Babak Ehteshami Bejnordi, Geert Litjens, Nadya Timofeeva, Irene Otte-Holler, Andre Homeyer, Nico Karssemeijer, Jeroen Van Der Laak (2016). Stain specific standardization of whole-slide histopathological images. IEEE Trans Med Imaging.

B. Ehteshami Bejnordi, M. Balkenhol, G. Litjens, R. Holland, P. Bult, N. Karssemeijer, J. Van Der Laak (2016). Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images. IEEE Trans Med Imaging.

Romain Remark, Taha Merghoub, Niels Grabe, Geert Litjens, Diane Damotte, Jedd D. Wolchok, Miriam Merad, Sacha Gnjatic (2016). In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide. Sci Immunol.

Oscar A. Debats, Midas Meijs, Geert J. S. Litjens, Henkjan J. Huisman (2016). Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients. Med Phys.

A. A. A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. Van Riel, M. Winkler Wille, M. Naqibullah, C. Sánchez, B. Van Ginneken (2016). Pulmonary nodule detection in CT images: false positive reduction using multi-view convolutional networks. IEEE Trans Med Imaging.

G. Litjens, C. I. Sánchez, N. Timofeeva, M. Hermsen, I. Nagtegaal, I. Kovacs, C. Hulsbergen-Van De Kaa, P. Bult, B. Van Ginneken, J. Van Der Laak (2016). Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis. Nat Sci Rep.

Geert J. S. Litjens, Robin Elliott, Natalie N. C. Shih, Michael D. Feldman, Thiele Kobus, Christina Hulsbergen Van De Kaa, Jelle O. Barentsz, Henkjan J. Huisman, Anant Madabhushi (2016). Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.. Radiology.

G. Litjens, K. Safferling, N. Grabe (2016). Automated robust registration of grossly misregistered whole-slide images with varying stains. Medical Imaging.

Geert J S. Litjens, Jelle O. Barentsz, Nico Karssemeijer, Henkjan J. Huisman (2015). Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI. Eur Radiol.

Eline K. Vos, Thiele Kobus, Geert J S. Litjens, Thomas Hambrock, Christina A. Hulsbergen-Van De Kaa, Jelle O. Barentsz, Marnix C. Maas, Tom W J. Scheenen (2015). Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer. Invest Radiol.