Jeroen van der Laak (J A W M van der Laak, Jeroen A van der Laak, Jeroen A W M van der Laak)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 31

Top Venues

NPJ breast cancer

Cancers

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc

Communications medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Roberto A Leon-Ferre, Jodi M Carter, David Zahrieh, Jason P Sinnwell, Roberto Salgado, Vera J Suman, David W Hillman, Judy C Boughey, Krishna R Kalari, Fergus J Couch, James N Ingle, Maschenka Balkenhol, Francesco Ciompi, Jeroen van der Laak, Matthew P Goetz
Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer. NPJ breast cancer 10 (1) (2024)
Roberto A Leon-Ferre, Jodi M Carter, David Zahrieh, Jason P Sinnwell, Roberto Salgado, Vera J Suman, David W Hillman, Judy C Boughey, Krishna R Kalari, Fergus J Couch, James N Ingle, Maschenka Balkenhol, Francesco Ciompi, Jeroen van der Laak, Matthew P Goetz
Automated mitotic spindle hotspot counts are highly associated with clinical outcomes in systemically untreated early-stage triple-negative breast cancer. NPJ breast cancer 10 (1) (2024)
Mart van Rijthoven, Simon Obahor, Fabio Pagliarulo, Maries van den Broek, Peter Schraml, Holger Moch, Jeroen van der Laak, Francesco Ciompi, Karina Silina
Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors. Communications medicine 4 (1) (2024)
Mart van Rijthoven, Simon Obahor, Fabio Pagliarulo, Maries van den Broek, Peter Schraml, Holger Moch, Jeroen van der Laak, Francesco Ciompi, Karina Silina
Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors. Communications medicine 4 (1) (2024)
John-Melle Bokhorst, Iris D Nagtegaal, Inti Zlobec, Heather Dawson, Kieran Sheahan, Femke Simmer, Richard Kirsch, Michael Vieth, Alessandro Lugli, Jeroen van der Laak, Francesco Ciompi
Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer. Cancers 15 (7) (2023)
Ananda van der Kamp, Thomas de Bel, Ludo van Alst, Jikke Rutgers, Marry M M van den Heuvel-Eibrink, Annelies M C Mavinkurve-Groothuis, Jeroen van der Laak, Ronald R de Krijger
Automated Deep Learning-Based Classification of Wilms Tumor Histopathology. Cancers 15 (9) (2023)
Julie E M Swillens, Iris D Nagtegaal, Sam Engels, Alessandro Lugli, Rosella P M G Hermens, Jeroen van der Laak
Pathologists' first opinions on barriers and facilitators of computational pathology adoption in oncological pathology: an international study. Oncogene (2023)
Ananda van der Kamp, Thomas de Bel, Ludo van Alst, Jikke Rutgers, Marry M M van den Heuvel-Eibrink, Annelies M C Mavinkurve-Groothuis, Jeroen van der Laak, Ronald R de Krijger
Automated Deep Learning-Based Classification of Wilms Tumor Histopathology. Cancers 15 (9) (2023)
Johannes Lotz, Nick Weiss, Jeroen van der Laak, Stefan Heldmann
Comparison of consecutive and restained sections for image registration in histopathology. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Niccolò Marini, Stefano Marchesin, Sebastian Otálora, Marek Wodzinski, Alessandro Caputo, Mart van Rijthoven, Witali Aswolinskiy, John-Melle Bokhorst, Damian Podareanu, Edyta Petters, Svetla Boytcheva, Genziana Buttafuoco, Simona Vatrano, Filippo Fraggetta, Jeroen van der Laak, Maristella Agosti, Francesco Ciompi, Gianmaria Silvello, Henning Muller, Manfredo Atzori
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations. NPJ digital medicine 5 (1) (2022)
Laura Miesen, Péter Bándi, Brigith Willemsen, Fieke Mooren, Thiago Strieder, Eva Boldrini, Vedran Drenic, Jennifer Eymael, Roy Wetzels, Johannes Lotz, Nick Weiss, Eric Steenbergen, Toin H van Kuppevelt, Merijn van Erp, Jeroen van der Laak, Nicole Endlich, Marcus J Moeller, Jack F M Wetzels, Jitske Jansen, Bart Smeets
Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis. Disease models & mechanisms 15 (3) (2022)
Hans Pinckaers, Jolique van Ipenburg, Jonathan Melamed, Angelo M DeMarzo, Elizabeth A Platz, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Predicting biochemical recurrence of prostate cancer with artificial intelligence. Communications medicine 2 (2022)
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen, Peter Ström, Hans Pinckaers, Kunal Nagpal, Yuannan Cai, David F Steiner, Hester van Boven, Robert Vink, Christina Hulsbergen-van de Kaa, Jeroen van der Laak, Mahul B Amin, Andrew J Evans, Theodorus H Van der Kwast, Robert Allan, Peter A Humphrey, Henrik Gronberg, Hemamali Samaratunga, Brett Delahunt, Toyonori Tsuzuki, Tomi Häkkinen, Lars Egevad, Maggie Demkin, Sohier Dane, Fraser Tan, Masi Valkonen, Greg S Corrado, Lily Peng, Craig H Mermel, Pekka Ruusuvuori, Geert Litjens, Martin Eklund, null null
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge. Nature medicine 28 (1) (2022)
Sofia Jarkman, Micael Karlberg, Milda Pocevičiūtė, Anna Bodén, Péter Bándi, Geert Litjens, Claes F Lundström, Darren Treanor, Jeroen van der Laak
Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection. Cancers 14 (21) (2022)
Caner Mercan, Maschenka Balkenhol, Roberto Salgado, Mark E Sherman, Philippe Vielh, Willem Vreuls, António Polónia, Hugo Mark Horlings, Wilko Weichert, Jodi M Carter, Peter Bult, Matthias Christgen, Carsten Denkert, Koen K van de Vijver, John-Melle Bokhorst, Jeroen van der Laak, Francesco Ciompi
Deep learning for fully-automated nuclear pleomorphism scoring in breast cancer. NPJ breast cancer 8 (1) (2022)
Thomas de Bel, Geert Litjens, Joshua Ogony, Melody Stallings-Mann, Jodi M Carter, Tracy Hilton, Derek C Radisky, Robert A Vierkant, Brendan Broderick, Tanya L Hoskin, Stacey J Winham, Marlene H Frost, Daniel W Visscher, Teresa Allers, Amy C Degnim, Mark E Sherman, Jeroen van der Laak
Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning. NPJ breast cancer 8 (1) (2022)
Geert Litjens, Francesco Ciompi, Jeroen van der Laak
A Decade of GigaScience: The Challenges of Gigapixel Pathology Images. GigaScience 11 (2022)
Jeroen Slaats, Cindy E Dieteren, Esther Wagena, Louis Wolf, Tonke K Raaijmakers, Jeroen van der Laak, Carl G Figdor, Bettina Weigelin, Peter Friedl
Metabolic Screening of Cytotoxic T-cell Effector Function Reveals the Role of CRAC Channels in Regulating Lethal Hit Delivery. Cancer immunology research 9 (8) (2021)
Jeroen van der Laak, Geert Litjens, Francesco Ciompi
Deep learning in histopathology: the path to the clinic. Nature medicine 27 (5) (2021)
Meyke Hermsen, Valery Volk, Jan Hinrich Bräsen, Daan J Geijs, Wilfried Gwinner, Jesper Kers, Jasper Linmans, Nadine S Schaadt, Jessica Schmitz, Eric J Steenbergen, Zaneta Swiderska-Chadaj, Bart Smeets, Luuk B Hilbrands, Friedrich Feuerhake, Jeroen van der Laak
Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning. Laboratory investigation; a journal of technical methods and pathology 101 (8) (2021)
Mohamed Amgad, Elisabeth Specht Stovgaard, Eva Balslev, Jeppe Thagaard, Weijie Chen, Sarah Dudgeon, Ashish Sharma, Jennifer K Kerner, Carsten Denkert, Yinyin Yuan, Khalid AbdulJabbar, Stephan Wienert, Peter Savas, Leonie Voorwerk, Andrew H Beck, Anant Madabhushi, Johan Hartman, Manu M Sebastian, Hugo M Horlings, Jan Hudeček, Francesco Ciompi, David A Moore, Rajendra Singh, Elvire Roblin, Marcelo Luiz Balancin, Marie-Christine Mathieu, Jochen K Lennerz, Pawan Kirtani, I-Chun Chen, Jeremy P Braybrooke, Giancarlo Pruneri, Sandra Demaria, Sylvia Adams, Stuart J Schnitt, Sunil R Lakhani, Federico Rojo, Laura Comerma, Sunil S Badve, Mehrnoush Khojasteh, William Fraser Symmans, Christos Sotiriou, Paula I Gonzalez Ericsson, Katherine L Pogue-Geile, Rim S Kim, David L Rimm, Giuseppe Viale, Stephen M Hewitt, John M S Bartlett, Frédérique Penault-Llorca, Shom Goel, Huang-Chun Lien, Sibylle Loibl, Zuzana Kos, Sherene Loi, Matthew G Hanna, Stefan Michiels, Marleen Kok, Torsten O Nielsen, Alexander J F Lazar, Zsuzsanna Bago-Horvath, Loes F S Kooreman, Jeroen van der Laak, Joel Saltz, Brandon D Gallas, Uday Kurkure, Michael Barnes, Roberto Salgado, Lee A D Cooper, null null
Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group. NPJ breast cancer 6 (2020)
Zuzana Kos, Elvire Roblin, Rim S Kim, Stefan Michiels, Brandon D Gallas, Weijie Chen, Koen K van de Vijver, Shom Goel, Sylvia Adams, Sandra Demaria, Giuseppe Viale, Torsten O Nielsen, Sunil S Badve, William Fraser Symmans, Christos Sotiriou, David L Rimm, Stephen Hewitt, Carsten Denkert, Sibylle Loibl, Stephen J Luen, John M S Bartlett, Peter Savas, Giancarlo Pruneri, Deborah A Dillon, Maggie Chon U Cheang, Andrew Tutt, Jacqueline A Hall, Marleen Kok, Hugo Mark Horlings, Anant Madabhushi, Jeroen van der Laak, Francesco Ciompi, Anne-Vibeke Laenkholm, Enrique Bellolio, Tina Gruosso, Stephen B Fox, Juan Carlos Araya, Giuseppe Floris, Jan Hudeček, Leonie Voorwerk, Andrew H Beck, Jen Kerner, Denis Larsimont, Sabine Declercq, Gert Van den Eynden, Lajos Pusztai, Anna Ehinger, Wentao Yang, Khalid AbdulJabbar, Yinyin Yuan, Rajendra Singh, Crispin Hiley, Maise Al Bakir, Alexander J F Lazar, Stephen Naber, Stephan Wienert, Miluska Castillo, Curigliano Giuseppe, Maria-Vittoria Dieci, Fabrice André, Charles Swanton, Jorge Reis-Filho, Joseph A Sparano, Eva Balslev, I-Chun Chen, Elisabeth Ida Specht Stovgaard, Katherine Pogue-Geile, Kim R M Blenman, Frédérique Penault-Llorca, Stuart Schnitt, Sunil R Lakhani, Anne Vincent-Salomon, Federico Rojo, Jeremy P Braybrooke, Matthew G Hanna, M Teresa Soler-Monsó, Daniel Bethmann, Carlos A Castaneda, Karen Willard-Gallo, Ashish Sharma, Huang-Chun Lien, Susan Fineberg, Jeppe Thagaard, Laura Comerma, Paula I Gonzalez Ericsson, Edi Brogi, Sherene Loi, Joel Saltz, Frederick Klaushen, Lee A D Cooper, Mohamed Amgad, David A Moore, Roberto Salgado, null null
Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer. NPJ breast cancer 6 (2020)
Wouter Bulten, Maschenka C A Balkenhol, Jean-Joël Awoumou Belinga, Américo Brilhante, Aslı Çakır, Lars Egevad, Martin Eklund, Xavier Farré, Katerina Geronatsiou, Vincent Molinié, Guilherme Pereira, Paromita Roy, Günter Saile, Paulo Salles, Ewout Schaafsma, Joëlle Tschui, Anne-Marie Vos, null null, Hester van Boven, Robert Vink, Jeroen van der Laak, Christina Hulsbergen-van der Kaa, Geert Litjens
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 34 (3) (2020)
Jeroen van der Laak, Francesco Ciompi, Geert Litjens
No pixel-level annotations needed. Nature biomedical engineering 3 (11) (2020)
Maschenka C A Balkenhol, David Tellez, Willem Vreuls, Pieter C Clahsen, Hans Pinckaers, Francesco Ciompi, Peter Bult, Jeroen van der Laak
Deep learning assisted mitotic counting for breast cancer. Laboratory investigation; a journal of technical methods and pathology 99 (11) (2019)
Maeve Mullooly, Babak Ehteshami Bejnordi, Ruth M Pfeiffer, Shaoqi Fan, Maya Palakal, Manila Hada, Pamela M Vacek, Donald L Weaver, John A Shepherd, Bo Fan, Amir Pasha Mahmoudzadeh, Jeff Wang, Serghei Malkov, Jason M Johnson, Sally D Herschorn, Brian L Sprague, Stephen Hewitt, Louise A Brinton, Nico Karssemeijer, Jeroen van der Laak, Andrew Beck, Mark E Sherman, Gretchen L Gierach
Application of convolutional neural networks to breast biopsies to delineate tissue correlates of mammographic breast density. NPJ breast cancer 5 (2019)
Altuna Halilovic, Dagmar I Verweij, Annet Simons, Marian J P L Stevens-Kroef, Susan Vermeulen, Janet Elsink, Bastiaan B J Tops, Irene Otte-Höller, Jeroen van der Laak, Carlijn van de Water, Oliver B A Boelens, Margrethe S Schlooz-Vries, Jeroen R Dijkstra, Iris D Nagtegaal, Jolien Tol, Patricia H J van Cleef, Paul N Span, Peter Bult
HER2, chromosome 17 polysomy and DNA ploidy status in breast cancer; a translational study. Scientific reports 9 (1) (2019)
John-Melle Bokhorst, A Blank, Alessandro Lugli, I Zlobec, H Dawson, M Vieth, L L Rijstenberg, S Brockmoeller, M Urbanowicz, J F Flejou, R Kirsch, F Ciompi, Jeroen van der Laak, I D Nagtegaal
Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 33 (5) (2019)
Wouter Bulten, Péter Bándi, Jeffrey Hoven, Rob van de Loo, Johannes Lotz, Nick Weiss, Jeroen van der Laak, Bram van Ginneken, Christina Hulsbergen-van de Kaa, Geert Litjens
Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard. Scientific reports 9 (1) (2019)
Péter Bándi, Maschenka C A Balkenhol, Bram van Ginneken, Jeroen van der Laak, Geert Litjens
Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks. PeerJ 7 (2019)
Babak Ehteshami Bejnordi, Maeve Mullooly, Ruth M Pfeiffer, Shaoqi Fan, Pamela M Vacek, Donald L Weaver, Sally Herschorn, Louise A Brinton, Bram van Ginneken, Nico Karssemeijer, Andrew H Beck, Gretchen L Gierach, Jeroen van der Laak, Mark E Sherman
Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 31 (10) (2018)

Jeroen van der Laak.css-eqlu8i{font-size:small;padding-left:4px;} (J A W M van der Laak, Jeroen A van der Laak, Jeroen A W M van der Laak)

Publication Activity (10 Years)

Top Topics

Top Venues

Jeroen van der Laak (J A W M van der Laak, Jeroen A van der Laak, Jeroen A W M van der Laak)