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Katherine J Hewitt

Showing results (1-10 of 11) with videos related to

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Frontiers in Bioengineering and Biotechnology|April 12, 2019
Deep Learning With Sampling in Colon Cancer HistologyMary Shapcott, Katherine J Hewitt, Nasir Rajpoot
The Journal of Pathology. Clinical Research|April 16, 2026
HISTAI: a valuable dataset with a valuable lessonKatherine J Hewitt, Nic G Reitsam, Sebastian Foersch, et al.
The Journal of Pathology. Clinical Research|November 6, 2024
Large language models as a diagnostic support tool in neuropathologyKatherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, et al.
The Journal of Pathology|December 15, 2023
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4)Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in PathologyLaura Žigutytė, Tim Lenz, Tianyu Han, et al.
Neuro-Oncology Advances|July 6, 2026
AI-based selection of tumor regions for genomic profiling in neuropathologyNarmin Ghaffari Laleh, Lukas Friedrich, Fuat Kaan Aras, et al.
Nature Protocols|September 16, 2024
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathologyOmar S M El Nahhas, Marko van Treeck, Georg Wölflein, et al.
Computers in Biology and Medicine|April 28, 2024
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performanceJan M Niehues, Gustav Müller-Franzes, Yoni Schirris, et al.
Histopathology|February 27, 2024
Automated curation of large-scale cancer histopathology image datasets using deep learningLars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, et al.
Neuro-Oncology Advances|December 18, 2023
Direct image to subtype prediction for brain tumors using deep learningKatherine J Hewitt, Chiara M L Löffler, Hannah Sophie Muti, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Bioengineering and Biotechnology|April 12, 2019
Deep Learning With Sampling in Colon Cancer HistologyMary Shapcott, Katherine J Hewitt, Nasir Rajpoot
The Journal of Pathology. Clinical Research|April 16, 2026
HISTAI: a valuable dataset with a valuable lessonKatherine J Hewitt, Nic G Reitsam, Sebastian Foersch, et al.
The Journal of Pathology. Clinical Research|November 6, 2024
Large language models as a diagnostic support tool in neuropathologyKatherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, et al.
The Journal of Pathology|December 15, 2023
Extracting structured information from unstructured histopathology reports using generative pre-trained transformer 4 (GPT-4)Daniel Truhn, Chiara Ml Loeffler, Gustav Müller-Franzes, et al.
Biorxiv : the Preprint Server for Biology|November 18, 2024
Counterfactual Diffusion Models for Mechanistic Explainability of Artificial Intelligence Models in PathologyLaura Žigutytė, Tim Lenz, Tianyu Han, et al.
Neuro-Oncology Advances|July 6, 2026
AI-based selection of tumor regions for genomic profiling in neuropathologyNarmin Ghaffari Laleh, Lukas Friedrich, Fuat Kaan Aras, et al.
Nature Protocols|September 16, 2024
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathologyOmar S M El Nahhas, Marko van Treeck, Georg Wölflein, et al.
Computers in Biology and Medicine|April 28, 2024
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performanceJan M Niehues, Gustav Müller-Franzes, Yoni Schirris, et al.
Histopathology|February 27, 2024
Automated curation of large-scale cancer histopathology image datasets using deep learningLars Hilgers, Narmin Ghaffari Laleh, Nicholas P West, et al.
Neuro-Oncology Advances|December 18, 2023
Direct image to subtype prediction for brain tumors using deep learningKatherine J Hewitt, Chiara M L Löffler, Hannah Sophie Muti, et al.
Pageof 2