受强制性开放获取政策约束的文章 - Chiara M. L. Löffler了解详情
可在其他位置公开访问的文章：25 篇
Pan-cancer image-based detection of clinically actionable genetic alterations
JN Kather, LR Heij, HI Grabsch, C Loeffler, A Echle, HS Muti, J Krause, ...
Nature cancer 1 (8), 789-799, 2020
强制性开放获取政策： US National Institutes of Health, German Research Foundation, Breast Cancer …
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
强制性开放获取政策： Helmholtz Association, European Commission, Federal Ministry of Education …
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
强制性开放获取政策： German Research Foundation, European Commission, Federal Ministry of …
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
强制性开放获取政策： German Research Foundation
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
强制性开放获取政策： German Research Foundation
Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4)
D Truhn, CML Loeffler, G Müller‐Franzes, S Nebelung, KJ Hewitt, ...
The Journal of Pathology 262 (3), 310-319, 2024
强制性开放获取政策： National Institute for Health Research, UK, European Commission
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides
OSM El Nahhas, CML Loeffler, ZI Carrero, M van Treeck, FR Kolbinger, ...
nature communications 15 (1), 1253, 2024
强制性开放获取政策： National Institute for Health Research, UK, Brain Tumour Charity, UK
Deep learning detects virus presence in cancer histology
JN Kather, J Schulte, HI Grabsch, C Loeffler, H Muti, J Dolezal, ...
BioRxiv, 690206, 2019
强制性开放获取政策： US National Institutes of Health, German Research Foundation, European …
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
强制性开放获取政策： German Research Foundation
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and …
CML Loeffler, OSM El Nahhas, HS Muti, T Seibel, D Cifci, M van Treeck, ...
medRxiv, 2023
强制性开放获取政策： US National Institutes of Health, National Institute for Health Research, UK …
Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study
HS Muti, C Röcken, HM Behrens, CML Löffler, NG Reitsam, B Grosser, ...
European Journal of Cancer 194, 113335, 2023
强制性开放获取政策： US National Institutes of Health, National Institute for Health Research, UK …
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
强制性开放获取政策： German Research Foundation, European Commission, Federal Ministry of …
Novel biomarker SARIFA in colorectal cancer: highly prognostic, not genetically driven and histologic indicator of a distinct tumor biology
NG Reitsam, V Grozdanov, CML Löffler, HS Muti, B Grosser, JN Kather, ...
Cancer Gene Therapy 31 (2), 207-216, 2024
强制性开放获取政策： National Institute for Health Research, UK
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
强制性开放获取政策： US National Institutes of Health, UK Medical Research Council, National …
Deep learning for dual detection of microsatellite instability and POLE mutations in colorectal cancer histopathology
M Gustav, NG Reitsam, ZI Carrero, CML Loeffler, M van Treeck, T Yuan, ...
NPJ Precision Oncology 8 (1), 115, 2024
强制性开放获取政策： National Institute for Health Research, UK, Yorkshire Cancer Research, UK …
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
强制性开放获取政策： Breast Cancer Now, UK, Chief Scientist Office, Scottish Executive, Health …
Automated curation of large‐scale cancer histopathology image datasets using deep learning
L Hilgers, N Ghaffari Laleh, NP West, A Westwood, KJ Hewitt, P Quirke, ...
Histopathology 84 (7), 1139-1153, 2024
强制性开放获取政策： Cancer Research UK, UK Medical Research Council, National Institute for …
Deep Learning for Biomarker Discovery in Cancer Genomes
M Unger, CML Loeffler, L Zigutyte, S Sainath, T Lenz, J Vibert, A Mock, ...
bioRxiv, 2025.01. 06.631471, 2025
强制性开放获取政策： National Institute for Health Research, UK, European Commission
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types
CML Loeffler, OSM El Nahhas, HS Muti, ZI Carrero, T Seibel, ...
BMC biology 22 (1), 225, 2024
强制性开放获取政策： National Institute for Health Research, UK
545P HIBRID: Histology and ct-DNA based risk-stratification with deep learning
CML Loeffler, S Sainath, X Jiang, Z Carrero, M van Treeck, T Nishikawa, ...
Annals of Oncology 35, S454, 2024
强制性开放获取政策： National Institute for Health Research, UK, European Commission
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