Works by Litjens, Geert

Results: 28

Clinical evaluation of a computer-aided diagnosis system for determining cancer aggressiveness in prostate MRI.

Published in:

2015

By:

Litjens, Geert;
Barentsz, Jelle;
Karssemeijer, Nico;
Huisman, Henkjan;
Litjens, Geert J S;
Barentsz, Jelle O;
Huisman, Henkjan J

Publication type:

journal article

In-depth tissue profiling using multiplexed immunohistochemical consecutive staining on single slide.

Published in:

Science Immunology, 2016, v. 1, n. 1, p. 1, doi. 10.1126/sciimmunol.aaf6925

By:

Remark, Romain;
Merghoub, Taha;
Grabe, Niels;
Litjens, Geert;
Damotte, Diane;
Wolchok, Jedd D.;
Merad, Miriam;
Gnjatic, Sacha

Publication type:

Article

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard.

Published in:

Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-018-37257-4

By:

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

Publication type:

Article

Tumoral Ki67 and PSMA Expression in Fresh Pre-PSMA-RLT Biopsies and Its Relation With PSMA-PET Imaging and Outcomes of PSMA-RLT in Patients With mCRPC.

Published in:

Clinical Genitourinary Cancer, 2023, v. 21, n. 5, p. e352, doi. 10.1016/j.clgc.2023.04.003

By:

Laarhuis, Babette I.;
Janssen, Marcel J. R.;
Simons, Michiel;
van Kalmthout, Ludwike W. M.;
van der Doelen, Maarten J.;
Peters, Steffie M. B.;
Westdorp, Harm;
van Oort, Inge M.;
Litjens, Geert;
Gotthardt, Martin;
Nagarajah, James;
Mehra, Niven;
Privé, Bastiaan M.

Publication type:

Article

Deep learning‐based segmentation in MRI‐(immuno)histological examination of myelin and axonal damage in normal‐appearing white matter and white matter hyperintensities.

Published in:

Brain Pathology, 2025, v. 35, n. 2, p. 1, doi. 10.1111/bpa.13301

By:

Solé‐Guardia, Gemma;
Luijten, Matthijs;
Janssen, Esther;
Visch, Ruben;
Geenen, Bram;
Küsters, Benno;
Claassen, Jurgen A. H. R.;
Litjens, Geert;
de Leeuw, Frank‐Erik;
Wiesmann, Maximilian;
Kiliaan, Amanda J.

Publication type:

Article

The Medical Segmentation Decathlon.

Published in:

Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-30695-9

By:

Antonelli, Michela;
Reinke, Annika;
Bakas, Spyridon;
Farahani, Keyvan;
Kopp-Schneider, Annette;
Landman, Bennett A.;
Litjens, Geert;
Menze, Bjoern;
Ronneberger, Olaf;
Summers, Ronald M.;
van Ginneken, Bram;
Bilello, Michel;
Bilic, Patrick;
Christ, Patrick F.;
Do, Richard K. G.;
Gollub, Marc J.;
Heckers, Stephan H.;
Huisman, Henkjan;
Jarnagin, William R.;
McHugo, Maureen K.

Publication type:

Article

Computer aided quantification of intratumoral stroma yields an independent prognosticator in rectal cancer.

Published in:

Cellular Oncology (2211-3428), 2019, v. 42, n. 3, p. 331, doi. 10.1007/s13402-019-00429-z

By:

Geessink, Oscar G. F.;
Baidoshvili, Alexi;
Klaase, Joost M.;
Ehteshami Bejnordi, Babak;
Litjens, Geert J. S.;
van Pelt, Gabi W.;
Mesker, Wilma E.;
Nagtegaal, Iris D.;
Ciompi, Francesco;
van der Laak, Jeroen A. W. M.

Publication type:

Article

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis.

Published in:

Scientific Reports, 2016, p. 26286, doi. 10.1038/srep26286

By:

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

Publication type:

Article

Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and Challenges.

Published in:

Pathobiology, 2024, v. 91, n. 1, p. 8, doi. 10.1159/000529701

By:

van Eekelen, Leander;
Litjens, Geert;
Hebeda, Konnie M.

Publication type:

Article

Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma.

Published in:

2021

By:

Swiderska-Chadaj, Zaneta;
Hebeda, Konnie M.;
van den Brand, Michiel;
Litjens, Geert

Publication type:

journal article

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks.

Published in:

PeerJ, 2019, p. 1, doi. 10.7717/peerj.8242

By:

Bándi, Péter;
Balkenhol, Maschenka;
van Ginneken, Bram;
van der Laak, Jeroen;
Litjens, Geert

Publication type:

Article

Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks.

Published in:

PeerJ, 2019, p. 1, doi. 10.7717/peerj.8052

By:

Debats, Oscar A.;
Litjens, Geert J. S.;
Huisman, Henkjan J.

Publication type:

Article

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks.

Published in:

PeerJ, 2019, p. 1, doi. 10.7717/peerj.6335

By:

Aprupe, Lilija;
Litjens, Geert;
Brinker, Titus J.;
van der Laak, Jeroen;
Grabe, Niels

Publication type:

Article

Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer.

Published in:

Scientific Reports, 2020, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41598-020-71420-0

By:

Swiderska-Chadaj, Zaneta;
de Bel, Thomas;
Blanchet, Lionel;
Baidoshvili, Alexi;
Vossen, Dirk;
van der Laak, Jeroen;
Litjens, Geert

Publication type:

Article

Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection.

Published in:

Cancers, 2022, v. 14, n. 21, p. 5424, doi. 10.3390/cancers14215424

By:

Jarkman, Sofia;
Karlberg, Micael;
Pocevičiūtė, Milda;
Bodén, Anna;
Bándi, Péter;
Litjens, Geert;
Lundström, Claes;
Treanor, Darren;
van der Laak, Jeroen

Publication type:

Article

Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer.

Published in:

PLoS ONE, 2024, v. 19, n. 5, p. 1, doi. 10.1371/journal.pone.0301969

By:

Vendittelli, Pierpaolo;
Bokhorst, John-Melle;
Smeets, Esther M. M.;
Kryklyva, Valentyna;
Brosens, Lodewijk A. A.;
Verbeke, Caroline;
Litjens, Geert

Publication type:

Article

Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning.

Published in:

NPJ Breast Cancer, 2022, v. 8, n. 1, p. 1, doi. 10.1038/s41523-021-00378-7

By:

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.

Publication type:

Article

Outdoor characterization and comparison of string and MLPE under clear and partially shaded conditions.

Published in:

Energy Science & Engineering, 2015, v. 3, n. 6, p. 510, doi. 10.1002/ese3.97

By:

Sinapis, Kostas;
Litjens, Geert;
Donker, Menno;
Folkerts, Wiep;
Sark, Wilfried

Publication type:

Article

Mini Review: The Last Mile—Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology.

Published in:

Toxicologic Pathology, 2021, v. 49, n. 4, p. 714, doi. 10.1177/0192623321990375

By:

Turner, Oliver C.;
Knight, Brian;
Zuraw, Aleksandra;
Litjens, Geert;
Rudmann, Daniel G.

Publication type:

Article

Machine Learning Compared With Pathologist Assessment-Reply.

Published in:

2018

By:

Bejnordi, Babak Ehteshami;
Litjens, Geert;
van der Laak, Jeroen AWM

Publication type:

Letter

Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.

Published in:

2017

By:

Bejnordi, Babak Ehteshami;
Veta, Mitko;
van Diest, Paul Johannes;
van Ginneken, Bram;
Karssemeijer, Nico;
Litjens, Geert;
van der Laak, Jeroen A. W. M.;
Ehteshami Bejnordi, Babak;
Johannes van Diest, Paul;
and the CAMELYON16 Consortium;
Hermsen, Meyke;
Manson, Quirine F;
Balkenhol, Maschenka;
Geessink, Oscar;
Stathonikos, Nikolaos;
van Dijk, Marcory Crf;
Bult, Peter;
Beca, Francisco;
Beck, Andrew H;
Wang, Dayong

Publication type:

journal article

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images.

Published in:

Journal of Medical Imaging, 2017, v. 4, n. 4, p. 044504-1, doi. 10.1117/1.JMI.4.4.044504

By:

Bejnordi, Babak Ehteshami;
Zuidhof, Guido;
Balkenhol, Maschenka;
Hermsen, Meyke;
Bult, Peter;
van Ginneken, Bram;
Karssemeijer, Nico;
Litjens, Geert;
van der Laaka, Jeroen

Publication type:

Article

Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy.

Published in:

Journal of Medical Imaging, 2014, v. 1, n. 3, p. 1, doi. 10.1117/1.JMI.1.3.035001

By:

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

Publication type:

Article

Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Published in:

Medical Physics, 2017, v. 44, n. 2, p. 533, doi. 10.1002/mp.12079

By:

Dalmış, Mehmet Ufuk;
Litjens, Geert;
Holland, Katharina;
Setio, Arnaud;
Mann, Ritse;
Karssemeijer, Nico;
Gubern‐Mérida, Albert

Publication type:

Article

Automated multistructure atlas-assisted detection of lymph nodes using pelvic MR lymphography in prostate cancer patients.

Published in:

Medical Physics, 2016, v. 43, n. 6, p. 3132, doi. 10.1118/1.4951726

By:

Debats, Oscar A.;
Meijs, Midas;
Litjens, Geert J. S.;
Huisman, Henkjan J.

Publication type:

Article

A Decade of GigaScience: The Challenges of Gigapixel Pathology Images.

Published in:

GigaScience, 2022, v. 11, p. 1, doi. 10.1093/gigascience/giac056

By:

Litjens, Geert;
Ciompi, Francesco;
van der Laak, Jeroen

Publication type:

Article

1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.

Published in:

GigaScience, 2018, v. 7, n. 6, p. N.PAG, doi. 10.1093/gigascience/giy065

By:

Litjens, Geert;
Bandi, Peter;
Ehteshami Bejnordi, Babak;
Geessink, Oscar;
Balkenhol, Maschenka;
Bult, Peter;
Halilovic, Altuna;
Hermsen, Meyke;
van de Loo, Rob;
Vogels, Rob

Publication type:

Article

Evaluation of tongue squamous cell carcinoma resection margins using ex-vivo MR.

Published in:

International Journal of Computer Assisted Radiology & Surgery, 2017, v. 12, n. 5, p. 821, doi. 10.1007/s11548-017-1524-6

By:

Steens, Stefan;
Bekers, Elise;
Weijs, Willem;
Litjens, Geert;
Veltien, Andor;
Maat, Arie;
Broek, Guido;
Laak, Jeroen;
Fütterer, Jürgen;
Kaa, Christina;
Merkx, Matthias;
Takes, Robert

Publication type:

Article