» Authors » Narmin Ghaffari Laleh

Narmin Ghaffari Laleh

Explore the profile of Narmin Ghaffari Laleh including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 22
Citations 617
Followers 0
Related Specialties
Top 10 Co-Authors
Published In
Affiliations
Soon will be listed here.
Recent Articles
1.
Saldanha O, Zhu J, Muller-Franzes G, Carrero Z, Payne N, Escudero Sanchez L, et al.
Commun Med (Lond) . 2025 Feb; 5(1):38. PMID: 39915630
Background: Over the next 5 years, new breast cancer screening guidelines recommending magnetic resonance imaging (MRI) for certain patients will significantly increase the volume of imaging data to be analyzed....
2.
Ferber D, Wolflein G, Wiest I, Ligero M, Sainath S, Laleh N, et al.
Nat Commun . 2024 Nov; 15(1):10104. PMID: 39572531
Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is computationally and technically demanding....
3.
Brockmann J, Kleines M, Laleh N, Kather J, Wied S, Floege J, et al.
PLoS One . 2024 May; 19(5):e0304500. PMID: 38820375
Background: Puumala hantavirus (PUUV) causes nephropathia epidemica (NE), an endemic form of transient acute renal injury (AKI). Serological testing is the mainstay of diagnosis. It was the aim of the...
4.
Perez-Lopez R, Laleh N, Mahmood F, Kather J
Nat Rev Cancer . 2024 May; 24(6):427-441. PMID: 38755439
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to a readily accessible tool for cancer researchers. AI-based tools can boost research productivity in daily workflows,...
5.
Hilgers L, Laleh N, West N, Westwood A, Hewitt K, Quirke P, et al.
Histopathology . 2024 Feb; 84(7):1139-1153. PMID: 38409878
Background: Artificial intelligence (AI) has numerous applications in pathology, supporting diagnosis and prognostication in cancer. However, most AI models are trained on highly selected data, typically one tissue slide per...
6.
Calderaro J, Laleh N, Zeng Q, Maille P, Favre L, Pujals A, et al.
Nat Commun . 2023 Dec; 14(1):8290. PMID: 38092727
Primary liver cancer arises either from hepatocytic or biliary lineage cells, giving rise to hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICCA). Combined hepatocellular- cholangiocarcinomas (cHCC-CCA) exhibit equivocal or mixed features...
7.
Clusmann J, Kolbinger F, Muti H, Carrero Z, Eckardt J, Laleh N, et al.
Commun Med (Lond) . 2023 Oct; 3(1):141. PMID: 37816837
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI's ChatGPT was made publicly available in November...
8.
El Wajeh M, Jung F, Bongartz D, Kappatou C, Laleh N, Mitsos A, et al.
Bull Math Biol . 2022 Sep; 84(11):130. PMID: 36175705
Several mathematical models to predict tumor growth over time have been developed in the last decades. A central aspect of such models is the interaction of tumor cells with immune...
9.
Laleh N, Truhn D, Veldhuizen G, Han T, van Treeck M, Buelow R, et al.
Nat Commun . 2022 Sep; 13(1):5711. PMID: 36175413
Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis and providing biomarkers directly from routine pathology slides. However, AI applications are vulnerable to adversarial attacks. Hence, it...
10.
Shmatko A, Laleh N, Gerstung M, Kather J
Nat Cancer . 2022 Sep; 3(9):1026-1038. PMID: 36138135
Artificial intelligence (AI) methods have multiplied our capabilities to extract quantitative information from digital histopathology images. AI is expected to reduce workload for human experts, improve the objectivity and consistency...