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Jakob Nikolas Kather · SciRah

Researcher profile · Semantic Scholar

Jakob Nikolas Kather

TU Dresden

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Jakob Nikolas Kather — researcher profile on SciRah

ORCID iD 0000-0002-3730-5348Homepage

h-index: 64
Works: 214
Citations: 16K

Most-cited papers

The future landscape of large language models in medicine
J. Clusmann, F. Kolbinger, H. Muti, Z. Carrero +8 more
2023Communications Medicine1,061 citations Open access
Semantic Scholar
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Artem Shmatko, Narmin Ghaffari Laleh, M. Gerstung, Jakob Nikolas Kather
2022Nature Cancer435 citations
Semantic Scholar
Denoising diffusion probabilistic models for 3D medical image generation
Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, T. Han +11 more
2023Scientific Reports384 citations Open access
Semantic Scholar
Transformer-based biomarker prediction from colorectal cancer histology: A large-scale multicentric study
S. Wagner, Daniel Reisenbüchler, N. West, J. Niehues +44 more
2023Cancer Cell295 citations Open access
Semantic Scholar
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
Gustav Müller-Franzes, J. Niehues, Firas Khader, S. T. Arasteh +8 more
2022Scientific Reports252 citations Open access
Semantic Scholar
Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer
Sebastian Foersch, Christina Glasner, A. Woerl, M. Eckstein +13 more
2023Nature Medicine223 citations
Semantic Scholar
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
N. G. Laleh, H. Muti, C. Loeffler, A. Echle +19 more
2022Medical Image Anal.206 citations Open access
Semantic Scholar
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
D. Nam, J. Chapiro, V. Paradis, T. Seraphin +1 more
2022JHEP Reports202 citations Open access
Semantic Scholar
Explainable artificial intelligence in skin cancer recognition: A systematic review.
Katja Hauser, Alexander Kurz, S. Haggenmüller, Roman C. Maron +29 more
2022European Journal of Cancer156 citations Open access
Semantic Scholar
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, D. Truhn, G. Veldhuizen, T. Han +7 more
2022bioRxiv138 citations Open access
Semantic Scholar
Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, T. Han, Mahshad Lotfinia, C. Kuhl +3 more
2023Nature Communications125 citations Open access
Semantic Scholar
Sublethal necroptosis signaling promotes inflammation and liver cancer.
M. Vucur, A. Ghallab, A. Schneider, Arlind Adili +58 more
2023Immunity125 citations Open access
Semantic Scholar
Artificial intelligence to identify genetic alterations in conventional histopathology
Didem Cifci, S. Foersch, Jakob Nikolas Kather
2022Journal of Pathology125 citations Open access
Semantic Scholar
An MRI Deep Learning Model Predicts Outcome in Rectal Cancer.
Xiaofeng Jiang, Hengyu Zhao, O. Saldanha, S. Nebelung +8 more
2023Radiology122 citations Open access
Semantic Scholar
Large language models should be used as scientific reasoning engines, not knowledge databases
D. Truhn, J. Reis-Filho, Jakob Nikolas Kather
2023Nature Medicine118 citations
Semantic Scholar
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
O. E. El Nahhas, C. Loeffler, Z. Carrero, Marko van Treeck +13 more
2023Nature Communications116 citations Open access
Semantic Scholar
Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides
C. Saillard, R. Dubois, O. Tchita, N. Loiseau +15 more
2023Nature Communications114 citations Open access
Semantic Scholar
Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study
J. Niehues, P. Quirke, N. West, H. Grabsch +15 more
2023Cell Reports Medicine108 citations Open access
Semantic Scholar
Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology.
Qinghe Zeng, C. Klein, S. Caruso, P. Maillé +16 more
2022Journal of Hepatology107 citations Open access
Semantic Scholar
Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers.
Firas Khader, Gustav Müller-Franzes, Tianci Wang, T. Han +8 more
2023Radiology102 citations
Semantic Scholar
Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application
A. Echle, N. G. Laleh, P. Quirke, H. I. Grabsch +34 more
2022ESMO Open100 citations Open access
Semantic Scholar
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study.
Xiaofeng Jiang, M. Hoffmeister, Hermann Brenner, H. Muti +15 more
2024The Lancet Digital Health95 citations Open access
Semantic Scholar
Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology
O. Saldanha, C. Loeffler, J. Niehues, M. van Treeck +7 more
2023npj Precision Oncology89 citations Open access
Semantic Scholar
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation
Firas Khader, G. Mueller-Franzes, S. T. Arasteh, T. Han +11 more
202289 citations
Semantic Scholar
Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives.
A. Marra, S. Morganti, F. Pareja, G. Campanella +9 more
2025Annals of Oncology87 citations Open access
Semantic Scholar
Uncertainty Estimation in Medical Image Classification: Systematic Review
Alexander Kurz, Katja Hauser, H. A. Mehrtens, E. Krieghoff-Henning +5 more
2022JMIR Medical Informatics87 citations Open access
Semantic Scholar
A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports
D. Truhn, Christian D. Weber, B. Braun, K. Bressem +3 more
2023Scientific Reports77 citations Open access
Semantic Scholar
Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Müller-Franzes, J. Niehues, Firas Khader, S. T. Arasteh +7 more
2022arXiv.org77 citations
Semantic Scholar
Clinical relevance of biomarkers in cholangiocarcinoma: critical revision and future directions
R. Macías, V. Cardinale, T. Kendall, M. Avila +17 more
2022Gut76 citations Open access
Semantic Scholar
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images.
Gustav Müller-Franzes, L. Huck, Soroosh Tayebi Arasteh, Firas Khader +8 more
2023Radiology72 citations
Semantic Scholar
Overcoming the challenges to implementation of artificial intelligence in pathology.
J. Reis-Filho, Jakob Nikolas Kather
2023Journal of the National Cancer Institute72 citations Open access
Semantic Scholar
An overview and a roadmap for artificial intelligence in hematology and oncology
Wiebke Rösler, M. Altenbuchinger, B. Baessler, T. Beissbarth +17 more
2023Journal of Cancer Research and Clinical Oncology67 citations Open access
Semantic Scholar
The influence of computer-aided polyp detection systems on reaction time for polyp detection and eye gaze
J. Troya, D. Fitting, M. Brand, B. Sudarevic +3 more
2022Endoscopy64 citations Open access
Semantic Scholar
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
Firas Khader, Jakob Nikolas Kather, Gustav Müller-Franzes, Tianci Wang +9 more
2023Scientific Reports63 citations Open access
Semantic Scholar
Medical domain knowledge in domain-agnostic generative AI
Jakob Nikolas Kather, Narmin Ghaffari Laleh, S. Foersch, D. Truhn
2022npj Digital Medicine58 citations Open access
Semantic Scholar
LongHealth: A Question Answering Benchmark with Long Clinical Documents
L. Adams, F. Busch, T. Han, Jean-Baptiste Excoffier +6 more
2024Journal of Healthcare Informatics Research47 citations Open access
Semantic Scholar
Facts and hopes on the use of artificial intelligence for predictive immunotherapy biomarkers in cancer.
Narmin Ghaffari Laleh, M. Ligero, R. Pérez-López, Jakob Nikolas Kather
2022Clinical Cancer Research43 citations Open access
Semantic Scholar
AI in Computational Pathology of Cancer: Improving Diagnostic Workflows and Clinical Outcomes?
Didem Cifci, G. Veldhuizen, S. Foersch, Jakob Nikolas Kather
2023Annual Review of Cancer Biology40 citations Open access
Semantic Scholar
Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, D. Truhn +1 more
2023European Radiology Experimental38 citations Open access
Semantic Scholar
Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning
O. Saldanha, H. Muti, H. Grabsch, R. Langer +11 more
2022Gastric Cancer36 citations Open access
Semantic Scholar
Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.
Firas Khader, T. Han, Gustav Müller-Franzes, L. Huck +17 more
2022Radiology35 citations
Semantic Scholar
Nestin as a diagnostic and prognostic marker for combined hepatocellular-cholangiocarcinoma.
J. Calderaro, L. di Tommaso, P. Maillé, A. Beaufrère +72 more
2022Journal of Hepatology33 citations Open access
Semantic Scholar
Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation
T. Han, Jakob Nikolas Kather, F. Pedersoli, Markus Zimmermann +10 more
2022Nature Machine Intelligence33 citations
Semantic Scholar
Deep learning can predict survival directly from histology in clear cell renal cell carcinoma
F. Wessels, Max Schmitt, E. Krieghoff-Henning, Jakob Nikolas Kather +13 more
2022PLoS ONE32 citations Open access
Semantic Scholar
Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study
G. Veldhuizen, C. Röcken, Hans-Michael Behrens, Didem Cifci +10 more
2023Gastric Cancer31 citations Open access
Semantic Scholar
Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: a systematic review of epigenome-wide studies
T. Yuan, D. Edelmann, Zi-Wen Fan, E. Alwers +3 more
2022medRxiv29 citations Open access
Semantic Scholar
Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study.
H. Muti, C. Röcken, Hans-Michael Behrens, C. Löffler +10 more
2023European Journal of Cancer26 citations Open access
Semantic Scholar
Artificial intelligence for precision medicine in autoimmune liver disease
A. Gerussi, M. Scaravaglio, L. Cristoferi, D. Verda +7 more
2022Frontiers in Immunology26 citations Open access
Semantic Scholar
The ecological footprint of medical AI
D. Truhn, Gustav Müller-Franzes, Jakob Nikolas Kather
2023European Radiology25 citations Open access
Semantic Scholar
Direct image to subtype prediction for brain tumors using deep learning
K. Hewitt, C. Löffler, H. Muti, A. Berghoff +12 more
2023Neuro-Oncology Advances25 citations Open access
Semantic Scholar

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