| The future landscape of large language models in medicine J Clusmann, FR Kolbinger, HS Muti, ZI Carrero, JN Eckardt, NG Laleh, ... Communications medicine 3 (1), 141, 2023 | 479 | 2023 |
| Artificial intelligence in histopathology: enhancing cancer research and clinical oncology A Shmatko, N Ghaffari Laleh, M Gerstung, JN Kather Nature cancer 3 (9), 1026-1038, 2022 | 284 | 2022 |
| Swarm learning for decentralized artificial intelligence in cancer histopathology OL Saldanha, P Quirke, NP West, JA James, MB Loughrey, HI Grabsch, ... Nature medicine 28 (6), 1232-1239, 2022 | 174 | 2022 |
| Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology NG Laleh, HS Muti, CML Loeffler, A Echle, OL Saldanha, F Mahmood, ... Medical image analysis 79, 102474, 2022 | 153 | 2022 |
| Adversarial attacks and adversarial robustness in computational pathology N Ghaffari Laleh, D Truhn, GP Veldhuizen, T Han, M van Treeck, ... Nature communications 13 (1), 5711, 2022 | 84 | 2022 |
| Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application A Echle, NG Laleh, P Quirke, HI Grabsch, HS Muti, OL Saldanha, ... ESMO open 7 (2), 100400, 2022 | 79 | 2022 |
| Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology PL Schrammen, N Ghaffari Laleh, A Echle, D Truhn, V Schulz, TJ Brinker, ... The Journal of pathology 256 (1), 50-60, 2022 | 77 | 2022 |
| Artificial intelligence–based detection of FGFR3 mutational status directly from routine histology in bladder cancer: a possible preselection for molecular testing? CML Loeffler, NO Bruechle, M Jung, L Seillier, M Rose, NG Laleh, ... European urology focus 8 (2), 472-479, 2022 | 71 | 2022 |
| Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology Q Zeng, C Klein, S Caruso, P Maille, NG Laleh, D Sommacale, A Laurent, ... Journal of Hepatology 77 (1), 116-127, 2022 | 70 | 2022 |
| Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer S Brockmoeller, A Echle, N Ghaffari Laleh, S Eiholm, ML Malmstrøm, ... The Journal of pathology 256 (3), 269-281, 2022 | 68 | 2022 |
| Classical mathematical models for prediction of response to chemotherapy and immunotherapy N Ghaffari Laleh, CML Loeffler, J Grajek, K Staňková, AT Pearson, ... PLoS computational biology 18 (2), e1009822, 2022 | 66 | 2022 |
| A guide to artificial intelligence for cancer researchers R Perez-Lopez, N Ghaffari Laleh, F Mahmood, JN Kather Nature Reviews Cancer, 1-15, 2024 | 62 | 2024 |
| Medical domain knowledge in domain-agnostic generative AI JN Kather, N Ghaffari Laleh, S Foersch, D Truhn NPJ digital medicine 5 (1), 90, 2022 | 57 | 2022 |
| Facts and hopes on the use of artificial intelligence for predictive immunotherapy biomarkers in cancer N Ghaffari Laleh, M Ligero, R Perez-Lopez, JN Kather Clinical Cancer Research 29 (2), 316-323, 2023 | 49 | 2023 |
| Artificial intelligence-based pathology as a biomarker of sensitivity to atezolizumab–bevacizumab in patients with hepatocellular carcinoma: a multicentre retrospective study Q Zeng, C Klein, S Caruso, P Maille, DS Allende, B Mínguez, M Iavarone, ... The Lancet Oncology 24 (12), 1411-1422, 2023 | 44 | 2023 |
| Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: a systematic literature review A Echle, NG Laleh, PL Schrammen, NP West, C Trautwein, TJ Brinker, ... ImmunoInformatics 3, 100008, 2021 | 44 | 2021 |
| Serum levels of soluble B and T lymphocyte attenuator predict overall survival in patients undergoing immune checkpoint inhibitor therapy for solid malignancies J Gorgulho, C Roderburg, F Heymann, M Schulze‐Hagen, F Beier, ... International Journal of Cancer 149 (5), 1189-1198, 2021 | 23 | 2021 |
| Predicting mutational status of driver and suppressor genes directly from histopathology with deep learning: a systematic study across 23 solid tumor types CML Loeffler, NT Gaisa, HS Muti, M van Treeck, A Echle, N Ghaffari Laleh, ... Frontiers in Genetics 12, 806386, 2022 | 22 | 2022 |
| Deep learning-based phenotyping reclassifies combined hepatocellular-cholangiocarcinoma J Calderaro, N Ghaffari Laleh, Q Zeng, P Maille, L Favre, A Pujals, C Klein, ... Nature communications 14 (1), 8290, 2023 | 18 | 2023 |
| In-context learning enables multimodal large language models to classify cancer pathology images D Ferber, G Wölflein, IC Wiest, M Ligero, S Sainath, N Ghaffari Laleh, ... Nature Communications 15 (1), 10104, 2024 | 17 | 2024 |
