| 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 | 143 | 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 | 120 | 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 | 72 | 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 | 60 | 2022 |
| Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology OL Saldanha, CML Loeffler, JM Niehues, M van Treeck, TP Seraphin, ... NPJ Precision Oncology 7 (1), 35, 2023 | 55 | 2023 |
| An MRI deep learning model predicts outcome in rectal cancer X Jiang, H Zhao, OL Saldanha, S Nebelung, C Kuhl, I Amygdalos, ... Radiology 307 (5), e222223, 2023 | 26 | 2023 |
| Encrypted federated learning for secure decentralized collaboration in cancer image analysis D Truhn, ST Arasteh, OL Saldanha, G Müller-Franzes, F Khader, P Quirke, ... Medical image analysis 92, 103059, 2024 | 24 | 2024 |
| Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning OL Saldanha, HS Muti, HI Grabsch, R Langer, B Dislich, M Kohlruss, ... Gastric cancer 26 (2), 264-274, 2023 | 16 | 2023 |
| End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study X Jiang, M Hoffmeister, H Brenner, HS Muti, T Yuan, S Foersch, NP West, ... The Lancet Digital Health 6 (1), e33-e43, 2024 | 11 | 2024 |
| Benchmarking artificial intelligence methods for end-to-end computational pathology NG Laleh, HS Muti, CM Lavinia Loeffler, A Echle, OL Saldanha, ... Biorxiv, 2021.08. 09.455633, 2021 | 10 | 2021 |
| DeepMed: a unified, modular pipeline for end-to-end deep learning in computational pathology M van Treeck, D Cifci, NG Laleh, OL Saldanha, CML Loeffler, KJ Hewitt, ... BioRxiv, 2021.12. 19.473344, 2021 | 9 | 2021 |
| Direct image to subtype prediction for brain tumors using deep learning KJ Hewitt, CML Löffler, HS Muti, AS Berghoff, C Eisenlöffel, M van Treeck, ... Neuro-oncology advances 5 (1), vdad139, 2023 | 4 | 2023 |
| Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer S Chatterji, JM Niehues, M van Treeck, CML Loeffler, OL Saldanha, ... NPJ Breast Cancer 9 (1), 91, 2023 | 3 | 2023 |
| OS-017 Deep learning discriminates autoimmune hepatitis and primary biliary cholangitis A Gerussi, O Saldanha, G Cazzaniga, D Verda, Z Carrero, B Engel, ... Journal of Hepatology 80, S18-S19, 2024 | 1 | 2024 |
| Deep Learning helps discriminating Autoimmune Hepatitis and Primary Biliary Cholangitis A Gerussi, OL Saldanha, G Cazzaniga, D Verda, ZI Carrero, B Engel, ... JHEP Reports, 101198, 2024 | | 2024 |
| Benchmarking foundation models as feature extractors for weakly-supervised computational pathology P Neidlinger, OSM El Nahhas, HS Muti, T Lenz, M Hoffmeister, H Brenner, ... arXiv preprint arXiv:2408.15823, 2024 | | 2024 |
| Deep Learning-based ERa Prediction Model Underperforms in Male Breast Cancer: Further Evidence of Breast Cancer Sex-based Disparities S Chatterji, J Niehues, M van Treeck, O Saldanha, G Veldhuizen, D Cifci, ... JOURNAL OF PATHOLOGY 261 (SUPPL 1), S38-S38, 2023 | | 2023 |
| 517P Differentiating IDH-wildtype and IDH-mutant high grade gliomas with deep learning KJ Hewitt, CML Loeffler, M Van Treeck, H Muti, G Veldhuizen, O Saldanha, ... Annals of Oncology 34, S398, 2023 | | 2023 |
| End-to-end prognostication in colorectal cancer by Deep Learning: a multicentric retrospective study N West, X Jiang, M Hoffmeister, H Brenner, HS Muti, T Yuan, S Foersch, ... The Lancet: Digital Health, 2023 | | 2023 |
| Training and validation of deep learning for the detection of malignant bile duct stenosis in fluoroscopy images of endoscopic retrograde cholangiopancreatography KV Trung, M Hollenbach, GP Veldhuizen, OL Saldanha, N Martens, ... Zeitschrift für Gastroenterologie 61 (08), KV306, 2023 | | 2023 |
Jakob Nikolas Kather, MD, MScElse Kroener Fresenius Center for Digital Health, Technical University Dresden, Dresden, GermanyVerified email at tu-dresden.de