Jakob Nikolas Kather (Jakob N Kather, Jakob Kather)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 103

Top Venues

Nature communications

Communications medicine

Nature medicine

Radiology

German Cancer Research Center (DKFZ)

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

Affiliation History

German Cancer Research Center (DKFZ) Aug 15 2016

Germany

Post-doctoral scientist :: Applied Tumor Immunity (D120)

University Hospital Heidelberg Aug 15 2016

Germany

Resident physician :: Medical Oncology

Publications

Salim Arslan, Julian Schmidt, Cher Bass, Debapriya Mehrotra, Andre Geraldes, Shikha Singhal, Julius Hense, Xiusi Li, Pandu Raharja-Liu, Oscar Maiques, Jakob Nikolas Kather, Pahini Pandya
A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images. Communications medicine 4 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Histopathological evaluation of abdominal aortic aneurysms with deep learning. medRxiv : the preprint server for health sciences (2024)
Nic Gabriel Reitsam, Bianca Grosser, David F Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L'Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S Muti, Jakob Nikolas Kather, Bruno Märkl
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Communications medicine 4 (1) (2024)
Raquel Perez-Lopez, Narmin Ghaffari Laleh, Faisal Mahmood, Jakob Nikolas Kather
A guide to artificial intelligence for cancer researchers. Nature reviews. Cancer (2024)
Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Histopathological evaluation of abdominal aortic aneurysms with deep learning. medRxiv : the preprint server for health sciences (2024)
Lars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, Alice Westwood, Katherine J Hewitt, Philip Quirke, Heike I Grabsch, Zunamys I Carrero, Emylou Matthaei, Chiara M L Loeffler, Titus J Brinker, Tanwei Yuan, Hermann Brenner, Alexander Brobeil, Michael Hoffmeister, Jakob Nikolas Kather
Automated curation of large-scale cancer histopathology image datasets using deep learning. Histopathology (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer research communications 4 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Isabella C Wiest, Stephen Henry Gilbert, Jakob Nikolas Kather
From research to reality: The role of artificial intelligence applications in HCC care. Clinical liver disease 23 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer research communications 4 (1) (2024)
Nils Christian Lehnen, Franziska Dorn, Isabella C Wiest, Hanna Zimmermann, Alexander Radbruch, Jakob Nikolas Kather, Daniel Paech
Data Extraction from Free-Text Reports on Mechanical Thrombectomy in Acute Ischemic Stroke Using ChatGPT: A Retrospective Analysis. Radiology 311 (1) (2024)
Nils Christian Lehnen, Franziska Dorn, Isabella C Wiest, Hanna Zimmermann, Alexander Radbruch, Jakob Nikolas Kather, Daniel Paech
Data Extraction from Free-Text Reports on Mechanical Thrombectomy in Acute Ischemic Stroke Using ChatGPT: A Retrospective Analysis. Radiology 311 (1) (2024)
Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C Adams, Keno K Bressem
Navigating the European Union Artificial Intelligence Act for Healthcare. NPJ digital medicine 7 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Histopathological evaluation of abdominal aortic aneurysms with deep learning. medRxiv : the preprint server for health sciences (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Leo Misera, Gustav Müller-Franzes, Daniel Truhn, Jakob Nikolas Kather
Weakly Supervised Deep Learning in Radiology. Radiology 312 (1) (2024)
Julien Calderaro, Laura Žigutytė, Daniel Truhn, Ariel Jaffe, Jakob Nikolas Kather
Artificial intelligence in liver cancer - new tools for research and patient management. Nature reviews. Gastroenterology & hepatology 21 (8) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Lars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, Alice Westwood, Katherine J Hewitt, Philip Quirke, Heike I Grabsch, Zunamys I Carrero, Emylou Matthaei, Chiara M L Loeffler, Titus J Brinker, Tanwei Yuan, Hermann Brenner, Alexander Brobeil, Michael Hoffmeister, Jakob Nikolas Kather
Automated curation of large-scale cancer histopathology image datasets using deep learning. Histopathology 84 (7) (2024)
Nic Gabriel Reitsam, Bianca Grosser, David F Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L'Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S Muti, Jakob Nikolas Kather, Bruno Märkl
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Communications medicine 4 (1) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Isabella C Wiest, Stephen Henry Gilbert, Jakob Nikolas Kather
From research to reality: The role of artificial intelligence applications in HCC care. Clinical liver disease 23 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Gustav Müller-Franzes, Firas Khader, Soroosh Tayebi Arasteh, Luisa Charlotte Huck, Maike Bode, Tianyu Han, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane K Kuhl, Daniel Truhn
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology 312 (1) (2024)
Salim Arslan, Julian Schmidt, Cher Bass, Debapriya Mehrotra, Andre Geraldes, Shikha Singhal, Julius Hense, Xiusi Li, Pandu Raharja-Liu, Oscar Maiques, Jakob Nikolas Kather, Pahini Pandya
A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images. Communications medicine 4 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Leo Misera, Gustav Müller-Franzes, Daniel Truhn, Jakob Nikolas Kather
Weakly Supervised Deep Learning in Radiology. Radiology 312 (1) (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer research communications 4 (1) (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Large language models streamline automated machine learning for clinical studies. Nature communications 15 (1) (2024)
Nic Gabriel Reitsam, Bianca Grosser, David F Steiner, Veselin Grozdanov, Ellery Wulczyn, Vincenzo L'Imperio, Markus Plass, Heimo Müller, Kurt Zatloukal, Hannah S Muti, Jakob Nikolas Kather, Bruno Märkl
Converging deep learning and human-observed tumor-adipocyte interaction as a biomarker in colorectal cancer. Communications medicine 4 (1) (2024)
Julien Calderaro, Laura Žigutytė, Daniel Truhn, Ariel Jaffe, Jakob Nikolas Kather
Artificial intelligence in liver cancer - new tools for research and patient management. Nature reviews. Gastroenterology & hepatology (2024)
Jana Lipkova, Jakob Nikolas Kather
The age of foundation models. Nature reviews. Clinical oncology (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Lars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, Alice Westwood, Katherine J Hewitt, Philip Quirke, Heike I Grabsch, Zunamys I Carrero, Emylou Matthaei, Chiara M L Loeffler, Titus J Brinker, Tanwei Yuan, Hermann Brenner, Alexander Brobeil, Michael Hoffmeister, Jakob Nikolas Kather
Automated curation of large-scale cancer histopathology image datasets using deep learning. Histopathology 84 (7) (2024)
Raquel Perez-Lopez, Narmin Ghaffari Laleh, Faisal Mahmood, Jakob Nikolas Kather
A guide to artificial intelligence for cancer researchers. Nature reviews. Cancer 24 (6) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Isabella Catharina Wiest, Dyke Ferber, Jiefu Zhu, Marko van Treeck, Sonja K Meyer, Radhika Juglan, Zunamys Itzell Carrero, Daniel Paech, Jens Kleesiek, Matthias P Ebert, Daniel Truhn, Jakob Nikolas Kather
Privacy-preserving large language models for structured medical information retrieval. NPJ digital medicine 7 (1) (2024)
Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C Adams, Keno K Bressem
Navigating the European Union Artificial Intelligence Act for Healthcare. NPJ digital medicine 7 (1) (2024)
Fiona R Kolbinger, Gregory P Veldhuizen, Jiefu Zhu, Daniel Truhn, Jakob Nikolas Kather
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis. Communications medicine 4 (1) (2024)
Jakob Nikolas Kather, Dyke Ferber, Isabella C Wiest, Stephen Henry Gilbert, Daniel Truhn
Large language models could make natural language again the universal interface of healthcare. Nature medicine (2024)
Omar S M El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J Wagner, Katherine J Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology. Nature protocols (2024)
Felix Busch, Jakob Nikolas Kather, Christian Johner, Marina Moser, Daniel Truhn, Lisa C Adams, Keno K Bressem
Navigating the European Union Artificial Intelligence Act for Healthcare. NPJ digital medicine 7 (1) (2024)
Gustav Müller-Franzes, Firas Khader, Soroosh Tayebi Arasteh, Luisa Charlotte Huck, Maike Bode, Tianyu Han, Teresa Lemainque, Jakob Nikolas Kather, Sven Nebelung, Christiane K Kuhl, Daniel Truhn
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization. Radiology 312 (1) (2024)
Salim Arslan, Julian Schmidt, Cher Bass, Debapriya Mehrotra, Andre Geraldes, Shikha Singhal, Julius Hense, Xiusi Li, Pandu Raharja-Liu, Oscar Maiques, Jakob Nikolas Kather, Pahini Pandya
A systematic pan-cancer study on deep learning-based prediction of multi-omic biomarkers from routine pathology images. Communications medicine 4 (1) (2024)
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurélie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature medicine 29 (2) (2023)
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurélie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature medicine (2023)
Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, Sven Nebelung, Katherine J Hewitt, Sebastian Brandner, Keno K Bressem, Sebastian Foersch, Jakob Nikolas Kather
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4). The Journal of pathology 262 (3) (2023)
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurélie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature medicine 29 (2) (2023)
Xiaofeng Jiang, Hengyu Zhao, Oliver Lester Saldanha, Sven Nebelung, Christiane K Kuhl, Iakovos Amygdalos, Sven Arke Lang, Xiao-Jian Wu, Xiaochun Meng, Daniel Truhn, Jakob Nikolas Kather, Jia Ke
An MRI Deep Learning Model Predicts Outcome in Rectal Cancer. Radiology 307 (5) (2023)
Tobias Paul Seraphin, Mark Luedde, Christoph Roderburg, Marko van Treeck, Pascal Scheider, Roman David Bülow, Peter Boor, Sven Heiko Loosen, Zdenek Provaznik, Daniel Mendelsohn, Filip Berisha, Christina Magnussen, Dirk Westermann, Tom Luedde, Christoph Brochhausen, Samuel Sossalla, Jakob Nikolas Kather
Prediction of heart transplant rejection from routine pathology slides with self-supervised deep learning. European heart journal. Digital health 4 (3) (2023)
Jakob Nikolas Kather, Lara R Heij, Heike I Grabsch, Chiara Loeffler, Amelie Echle, Hannah Sophie Muti, Jeremias Krause, Jan M Niehues, Kai A J Sommer, Peter Bankhead, Loes F S Kooreman, Jefree J Schulte, Nicole Anne Cipriani, Roman David Bülow, Peter Boor, Nadina Ortiz-Brüchle, Andrew M Hanby, Valerie Speirs, Sara Kochanny, Akash Patnaik, Andrew Srisuwananukorn, Hermann Brenner, Michael Hoffmeister, Piet A van den Brandt, Dirk Jäger, Christian Trautwein, Alexander T Pearson, Tom Luedde
Author Correction: Pan-cancer image-based detection of clinically actionable genetic alterations. Nature cancer 1 (11) (2023)
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurélie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature medicine 29 (2) (2023)
Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, Sven Nebelung, Katherine J Hewitt, Sebastian Brandner, Keno K Bressem, Sebastian Foersch, Jakob Nikolas Kather
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4). The Journal of pathology 262 (3) (2023)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly supervised deep learning predicts immunotherapy response in solid tumors based on PD-L1 expression. Cancer research communications (2023)
Daniel Truhn, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Large language models should be used as scientific reasoning engines, not knowledge databases. Nature medicine (2023)
Julien Calderaro, Narmin Ghaffari Laleh, Qinghe Zeng, Pascale Maille, Loetitia Favre, Anaïs Pujals, Christophe Klein, Céline Bazille, Lara Rosaline Heij, Arnaud Uguen, Tom Luedde, Luca Di Tommaso, Aurélie Beaufrère, Augustin Chatain, Delphine Gastineau, Cong Trung Nguyen, Hiep Nguyen-Canh, Khuyen Nguyen Thi, Viviane Gnemmi, Rondell P Graham, Frederic Charlotte, Dominique Wendum, Mukul Vij, Daniela S Allende, Federico Aucejo, Alba Díaz, Benjamin Rivière, Astrid Herrero, Katja Evert, Diego Francesco Calvisi, Jérémy Augustin, Wei Qiang Leow, Howard Ho Wai Leung, Emmanuel Boleslawski, Mohamed Rela, Arnaud François, Anthony Wing-Hung Cha, Alejandro Forner, Maria Reig, Manon Allaire, Olivier Scatton, Denis Chatelain, Camille Boulagnon-Rombi, Nathalie Sturm, Benjamin Menahem, Eric Frouin, David Tougeron, Christophe Tournigand, Emmanuelle Kempf, Haeryoung Kim, Massih Ningarhari, Sophie Michalak-Provost, Purva Gopal, Raffaele Brustia, Eric Vibert, Kornelius Schulze, Darius F Rüther, Sören A Weidemann, Rami Rhaiem, Jean Michel Pawlotsky, Xuchen Zhang, Alain Luciani, Sébastien Mulé, Alexis Laurent, Giuliana Amaddeo, Hélène Regnault, Eleonora De Martin, Christine Sempoux, Pooja Navale, Maria Westerhoff, Regina Cheuk-Lam Lo, Jan Bednarsch, Annette Gouw, Catherine Guettier, Marie Lequoy, Kenichi Harada, Pimsiri Sripongpun, Poowadon Wetwittayaklang, Nicolas Loménie, Jarukit Tantipisit, Apichat Kaewdech, Jeanne Shen, Valérie Paradis, Stefano Caruso, Jakob Nikolas Kather
Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma. Nature communications 14 (1) (2023)
Oliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T Pearson, Jakob Nikolas Kather
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology. NPJ precision oncology 7 (1) (2023)
Oliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T Pearson, Jakob Nikolas Kather
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology. NPJ precision oncology 7 (1) (2023)
Gustav Müller-Franzes, Luisa Charlotte Huck, Soroosh Tayebi Arasteh, Firas Khader, Tianyu Han, Volkmar Schulz, Ebba Dethlefsen, Jakob Nikolas Kather, Sven Nebelung, Teresa Lemainque, Christiane K Kuhl, Daniel Truhn
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images. Radiology (2023)
Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, Sven Nebelung, Katherine J Hewitt, Sebastian Brandner, Keno K Bressem, Sebastian Foersch, Jakob Nikolas Kather
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4). The Journal of pathology 262 (3) (2023)
Firas Khader, Gustav Müller-Franzes, Tianci Wang, Tianyu Han, Soroosh Tayebi Arasteh, Christoph Haarburger, Johannes Stegmaier, Keno Kyrill Bressem, Christiane K Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers. Radiology 309 (1) (2023)
Charlie Saillard, Rémy Dubois, Oussama Tchita, Nicolas Loiseau, Thierry Garcia, Aurélie Adriansen, Séverine Carpentier, Joelle Reyre, Diana Enea, Katharina von Loga, Aurélie Kamoun, Stéphane Rossat, Corentin Wiscart, Meriem Sefta, Michaël Auffret, Lionel Guillou, Arnaud Fouillet, Jakob Nikolas Kather, Magali Svrcek
Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides. Nature communications 14 (1) (2023)
Katherine J Hewitt, Chiara M L Löffler, Hannah Sophie Muti, Anna Sophie Berghoff, Christian Eisenlöffel, Marko van Treeck, Zunamys I Carrero, Omar S M El Nahhas, Gregory P Veldhuizen, Sophie Weil, Oliver Lester Saldanha, Laura Bejan, Thomas O Millner, Sebastian Brandner, Sascha Brückmann, Jakob Nikolas Kather
Direct image to subtype prediction for brain tumors using deep learning. Neuro-oncology advances 5 (1) (2023)
Chiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Cifci, Marko van Treeck, Marco Gustav, Zunamys Itzell Carrero, Nadine Therese Gaisa, Kjong-van Lehmann, Alexandra Leary, Pier Selenica, Jorge Sergio Reis-Filho, Nadina Ortiz Bruechle, Jakob Nikolas Kather
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study. medRxiv : the preprint server for health sciences (2023)
Gregory Patrick Veldhuizen, Christoph Röcken, Hans-Michael Behrens, Didem Cifci, Hannah Sophie Muti, Takaki Yoshikawa, Tomio Arai, Takashi Oshima, Patrick Tan, Matthias P Ebert, Alexander T Pearson, Julien Calderaro, Heike I Grabsch, Jakob Nikolas Kather
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study. Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2023)
Oliver Lester Saldanha, Chiara M L Loeffler, Jan Moritz Niehues, Marko van Treeck, Tobias Paul Seraphin, Katherine Jane Hewitt, Didem Cifci, Gregory Patrick Veldhuizen, Siddhi Ramesh, Alexander T Pearson, Jakob Nikolas Kather
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology. NPJ precision oncology 7 (1) (2023)
Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, Sven Nebelung, Katherine J Hewitt, Sebastian Brandner, Keno K Bressem, Sebastian Foersch, Jakob Nikolas Kather
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4). The Journal of pathology (2023)
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurélie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature medicine 29 (2) (2023)
Sebastian Foersch, Christina Glasner, Ann-Christin Woerl, Markus Eckstein, Daniel-Christoph Wagner, Stefan Schulz, Franziska Kellers, Aurélie Fernandez, Konstantina Tserea, Michael Kloth, Arndt Hartmann, Achim Heintz, Wilko Weichert, Wilfried Roth, Carol Geppert, Jakob Nikolas Kather, Moritz Jesinghaus
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nature medicine 29 (2) (2023)
Katherine J Hewitt, Chiara M L Löffler, Hannah Sophie Muti, Anna Sophie Berghoff, Christian Eisenlöffel, Marko van Treeck, Zunamys I Carrero, Omar S M El Nahhas, Gregory P Veldhuizen, Sophie Weil, Oliver Lester Saldanha, Laura Bejan, Thomas O Millner, Sebastian Brandner, Sascha Brückmann, Jakob Nikolas Kather
Direct image to subtype prediction for brain tumors using deep learning. Neuro-oncology advances 5 (1) (2023)
Mohammad El Wajeh, Falco Jung, Dominik Bongartz, Chrysoula Dimitra Kappatou, Narmin Ghaffari Laleh, Alexander Mitsos, Jakob Nikolas Kather
Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans? Bulletin of mathematical biology 84 (11) (2022)
Sven Heiko Loosen, Justus Halpaap, Simon Labuhn, Jan Bednarsch, Patrick H Alizai, Anjali A Roeth, Sven A Lang, Mihael Vucur, Jakob Nikolas Kather, Wolfram T Knoefel, Tom F Ulmer, Ulf P Neumann, Christoph Roderburg, Tom Luedde
Golgi Protein 73 (GP73) Serum Levels Predict Outcome after Resection of Biliary Tract Cancer. Cancers 14 (18) (2022)
Oliver Lester Saldanha, Hannah Sophie Muti, Heike I Grabsch, Rupert Langer, Bastian Dislich, Meike Kohlruss, Gisela Keller, Marko van Treeck, Katherine Jane Hewitt, Fiona R Kolbinger, Gregory Patrick Veldhuizen, Peter Boor, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning. Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association (2022)
Céline N Heinz, Amelie Echle, Sebastian Foersch, Andrey Bychkov, Jakob Nikolas Kather
The future of artificial intelligence in digital pathology - results of a survey across stakeholder groups. Histopathology 80 (7) (2022)
Firas Khader, Tianyu Han, Gustav Müller-Franzes, Luisa Charlotte Huck, Philipp Schad, Sebastian Keil, Emona S Barzakova, Maximilian Franz Schulze-Hagen, Federico Pedersoli, Volkmar Schulz, Markus Zimmermann, Lina Nebelung, Jakob Nikolas Kather, Karim Hamesch, Christoph Haarburger, Gernot Marx, Johannes Stegmaier, Christiane K Kuhl, Philipp Bruners, Sven Nebelung, Daniel Truhn
Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs. Radiology (2022)
Artem Shmatko, Narmin Ghaffari Laleh, Moritz Gerstung, Jakob Nikolas Kather
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology. Nature cancer 3 (9) (2022)
Alexander Kurz, Katja Hauser, Hendrik Alexander Mehrtens, Eva Krieghoff-Henning, Achim Hekler, Jakob Nikolas Kather, Stefan Fröhling, Christof von Kalle, Titus Josef Brinker
Uncertainty Estimation in Medical Image Classification: Systematic Review. JMIR medical informatics 10 (8) (2022)
Didem Cifci, Sebastian Foersch, Jakob Nikolas Kather
Artificial intelligence to identify genetic alterations in conventional histopathology. The Journal of pathology 257 (4) (2022)
Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Kateřina Staňková, Alexander T Pearson, Hannah Sophie Muti, Christian Trautwein, Heiko Enderling, Jan Poleszhuk, Jakob Nikolas Kather
Classical mathematical models for prediction of response to chemotherapy and immunotherapy. PLoS computational biology 18 (2) (2022)
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Bülow, Rupert Langer, Bastian Dislich, Peter Boor, Volkmar Schulz, Jakob Nikolas Kather
Adversarial attacks and adversarial robustness in computational pathology. Nature communications 13 (1) (2022)
Oliver Lester Saldanha, Philip Quirke, Nicholas P West, Jacqueline A James, Maurice B Loughrey, Heike I Grabsch, Manuel Salto-Tellez, Elizabeth Alwers, Didem Cifci, Narmin Ghaffari Laleh, Tobias Seibel, Richard Gray, Gordon G A Hutchins, Hermann Brenner, Marko van Treeck, Tanwei Yuan, Titus J Brinker, Jenny Chang-Claude, Firas Khader, Andreas Schuppert, Tom Luedde, Christian Trautwein, Hannah Sophie Muti, Sebastian Foersch, Michael Hoffmeister, Daniel Truhn, Jakob Nikolas Kather
Swarm learning for decentralized artificial intelligence in cancer histopathology. Nature medicine 28 (6) (2022)
Narmin Ghaffari Laleh, Marta Ligero, Raquel Perez-Lopez, Jakob Nikolas Kather
Facts and hopes on the use of artificial intelligence for predictive immunotherapy biomarkers in cancer. Clinical cancer research : an official journal of the American Association for Cancer Research (2022)
Robert John Noble, Dominik Burri, Cécile Le Sueur, Jeanne Lemant, Yannick Viossat, Jakob Nikolas Kather, Niko Beerenwinkel
Spatial structure governs the mode of tumour evolution. Nature ecology & evolution 6 (2) (2021)
Peter Leonard Schrammen, Narmin Ghaffari Laleh, Amelie Echle, Daniel Truhn, Volkmar Schulz, Titus J Brinker, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Alexander Brobeil, Matthias Kloor, Lara R Heij, Dirk Jäger, Christian Trautwein, Heike I Grabsch, Philip Quirke, Nicholas P West, Michael Hoffmeister, Jakob Nikolas Kather
Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology. The Journal of pathology (2021)
Julia Werner, Raphael M Kronberg, Pawel Stachura, Philipp Niklas Ostermann, Lisa Müller, Heiner Schaal, Sanil Bhatia, Jakob Nikolas Kather, Arndt Borkhardt, Aleksandra A Pandyra, Karl S Lang, Philipp A Lang
Deep Transfer Learning Approach for Automatic Recognition of Drug Toxicity and Inhibition of SARS-CoV-2. Viruses 13 (4) (2021)
Jeremias Krause, Heike I Grabsch, Matthias Kloor, Michael Jendrusch, Amelie Echle, Roman David Buelow, Peter Boor, Tom Luedde, Titus J Brinker, Christian Trautwein, Alexander T Pearson, Philip Quirke, Josien C A Jenniskens, Kelly Offermans, Piet A van den Brandt, Jakob Nikolas Kather
Deep learning detects genetic alterations in cancer histology generated by adversarial networks. The Journal of pathology 254 (1) (2021)
Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, Markus Tiemann, Dieter Krahl, Heinz Kutzner, Jochen Sven Utikal, Sebastian Haferkamp, Jakob Nikolas Kather, Frederick Klauschen, Eva Krieghoff-Henning, Stefan Fröhling, Christof von Kalle, Titus Josef Brinker
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study. Journal of medical Internet research 23 (2) (2021)
Julia Höhn, Achim Hekler, Eva Krieghoff-Henning, Jakob Nikolas Kather, Jochen Sven Utikal, Friedegund Meier, Frank Friedrich Gellrich, Axel Hauschild, Lars Einar French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Markus Vincent Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Roman Christoph Maron, Max Schmitt, Tanja Jutzi, Stefan Fröhling, Daniel B Lipka, Titus Josef Brinker
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. Journal of medical Internet research 23 (7) (2021)
Amelie Echle, Niklas Timon Rindtorff, Titus Josef Brinker, Tom Luedde, Alexander Thomas Pearson, Jakob Nikolas Kather
Deep learning in cancer pathology: a new generation of clinical biomarkers. British journal of cancer 124 (4) (2020)
Jakob Nikolas Kather, Julien Calderaro
Development of AI-based pathology biomarkers in gastrointestinal and liver cancer. Nature reviews. Gastroenterology & hepatology 17 (10) (2020)
Julien Calderaro, Jakob Nikolas Kather
Artificial intelligence-based pathology for gastrointestinal and hepatobiliary cancers. Gut 70 (6) (2020)
Jakob Nikolas Kather, Alexander T Pearson, Niels Halama, Dirk Jäger, Jeremias Krause, Sven H Loosen, Alexander Marx, Peter Boor, Frank Tacke, Ulf Peter Neumann, Heike I Grabsch, Takaki Yoshikawa, Hermann Brenner, Jenny Chang-Claude, Michael Hoffmeister, Christian Trautwein, Tom Luedde
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer. Nature medicine 25 (7) (2019)
Meggy Suarez-Carmona, Pornpimol Chaorentong, Jakob Nikolas Kather, Rebecca Rothenheber, Azaz Ahmed, Anna Berthel, Anita Heinzelmann, Rodrigo Moraleda, Nektarios A Valous, Zeynep Koşaloğlu-Yalçın, Rosa Eurich, Jana Wolf, Silke Grauling-Halama, Michael Hundemer, Felix Lasitschka, Fee Klupp, Christoph Kahlert, Alexis Ulrich, Martin Schneider, Christine Falk, Dirk Jäger, Inka Zoernig, Niels Halama
CCR5 status and metastatic progression in colorectal cancer. Oncoimmunology 8 (9) (2019)

Jakob Nikolas Kather.css-eqlu8i{font-size:small;padding-left:4px;} (Jakob N Kather, Jakob Kather)

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Jakob Nikolas Kather (Jakob N Kather, Jakob Kather)