Zoekresultaten - Litjens, Geert

A Decade of GigaScience: The Challenges of Gigapixel Pathology Images door Litjens, Geert, Ciompi, Francesco, van der Laak, Jeroen

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Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks door Debats, Oscar A., Litjens, Geert J.S., Huisman, Henkjan J.

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

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Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma door Swiderska-Chadaj, Zaneta, Hebeda, Konnie M., van den Brand, Michiel, Litjens, Geert

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Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks door Aprupe, Lilija, Litjens, Geert, Brinker, Titus J., van der Laak, Jeroen, Grabe, Niels

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Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks door Bándi, Péter, Balkenhol, Maschenka, van Ginneken, Bram, van der Laak, Jeroen, Litjens, Geert

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Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer door Swiderska-Chadaj, Zaneta, de Bel, Thomas, Blanchet, Lionel, Baidoshvili, Alexi, Vossen, Dirk, van der Laak, Jeroen, Litjens, Geert

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Intranodal signal suppression in pelvic MR lymphography of prostate cancer patients: a quantitative comparison of ferumoxtran-10 and ferumoxytol door Debats, Oscar A., Fortuin, Ansje S., Meijer, Hanneke J.M., Hambrock, Thomas, Litjens, Geert J.S., Barentsz, Jelle O., Huisman, Henkjan J.

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Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images door Bejnordi, Babak Ehteshami, Zuidhof, Guido, Balkenhol, Maschenka, Hermsen, Meyke, Bult, Peter, van Ginneken, Bram, Karssemeijer, Nico, Litjens, Geert, van der Laak, Jeroen

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Predicting biochemical recurrence of prostate cancer with artificial intelligence door Pinckaers, Hans, van Ipenburg, Jolique, Melamed, Jonathan, De Marzo, Angelo, Platz, Elizabeth A., van Ginneken, Bram, van der Laak, Jeroen, Litjens, Geert

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Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy door Litjens, Geert J. S., Huisman, Henkjan J., Elliott, Robin M., Shih, Natalie Nc., Feldman, Michael D., Viswanath, Satish, Fütterer, Jurgen J., Bomers, Joyce G. R., Madabhushi, Anant

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Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis door Litjens, Geert, Sánchez, Clara I., Timofeeva, Nadya, Hermsen, Meyke, Nagtegaal, Iris, Kovacs, Iringo, Hulsbergen - van de Kaa, Christina, Bult, Peter, van Ginneken, Bram, van der Laak, Jeroen

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Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities door Ghafoorian, Mohsen, Karssemeijer, Nico, Heskes, Tom, van Uden, Inge W. M., Sanchez, Clara I., Litjens, Geert, de Leeuw, Frank-Erik, van Ginneken, Bram, Marchiori, Elena, Platel, Bram

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Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard door Bulten, Wouter, Bándi, Péter, Hoven, Jeffrey, Loo, Rob van de, Lotz, Johannes, Weiss, Nick, Laak, Jeroen van der, Ginneken, Bram van, Hulsbergen-van de Kaa, Christina, Litjens, Geert

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Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics door Balkenhol, Maschenka CA., Ciompi, Francesco, Świderska-Chadaj, Żaneta, van de Loo, Rob, Intezar, Milad, Otte-Höller, Irene, Geijs, Daan, Lotz, Johannes, Weiss, Nick, de Bel, Thomas, Litjens, Geert, Bult, Peter, van der Laak, Jeroen AWM.

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1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset door Litjens, Geert, Bandi, Peter, Ehteshami Bejnordi, Babak, Geessink, Oscar, Balkenhol, Maschenka, Bult, Peter, Halilovic, Altuna, Hermsen, Meyke, van de Loo, Rob, Vogels, Rob, Manson, Quirine F, Stathonikos, Nikolas, Baidoshvili, Alexi, van Diest, Paul, Wauters, Carla, van Dijk, Marcory, van der Laak, Jeroen

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MAGE expression in head and neck squamous cell carcinoma primary tumors, lymph node metastases and respective recurrences-implications for immunotherapy door Laban, Simon, Giebel, Gregor, Klümper, Niklas, Schröck, Andreas, Doescher, Johannes, Spagnoli, Giulio, Thierauf, Julia, Theodoraki, Marie-Nicole, Remark, Romain, Gnjatic, Sacha, Krupar, Rosemarie, Sikora, Andrew G., Litjens, Geert, Grabe, Niels, Kristiansen, Glen, Bootz, Friedrich, Schuler, Patrick J., Brunner, Cornelia, Brägelmann, Johannes, Hoffmann, Thomas K., Perner, Sven

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Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR door Steens, Stefan C. A., Bekers, Elise M., Weijs, Willem L. J., Litjens, Geert J. S., Veltien, Andor, Maat, Arie, van den Broek, Guido B., van der Laak, Jeroen A. W. M., Fütterer, Jürgen J., van der Kaa, Christina A. Hulsbergen, Merkx, Matthias A. W., Takes, Robert P.

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Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning door de Bel, Thomas, Litjens, Geert, Ogony, Joshua, Stallings-Mann, Melody, Carter, Jodi M., Hilton, Tracy, Radisky, Derek C., Vierkant, Robert A., Broderick, Brendan, Hoskin, Tanya L., Winham, Stacey J., Frost, Marlene H., Visscher, Daniel W., Allers, Teresa, Degnim, Amy C., Sherman, Mark E., van der Laak, Jeroen A. W. M.

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Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists door Bulten, Wouter, Balkenhol, Maschenka, Belinga, Jean-Joël Awoumou, Brilhante, Américo, Çakır, Aslı, Egevad, Lars, Eklund, Martin, Farré, Xavier, Geronatsiou, Katerina, Molinié, Vincent, Pereira, Guilherme, Roy, Paromita, Saile, Günter, Salles, Paulo, Schaafsma, Ewout, Tschui, Joëlle, Vos, Anne-Marie, van Boven, Hester, Vink, Robert, van der Laak, Jeroen, Hulsbergen-van der Kaa, Christina, Litjens, Geert

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