Research map: Foundation artificial intelligence models enable high-accuracy diagnostic differentiation of hybrid neurofibroma/schwannoma using whole-slide images

Back to the article

Papers in this map

  1. Index for rating diagnostic tests · W. J. Youden · 1950 · 11816 citations · Cited by this paper
  2. Lessons learned from three approaches to digital pathology system validation at a large academic medical institution · 2026 · Related
  3. QuPath: Open source software for digital pathology image analysis · Peter Bankhead · 2017 · 9171 citations · Cited by this paper
  4. Fast organ-of-origin classification for digital pathology quality control · 2026 · Related
  5. Data-efficient and weakly supervised computational pathology on whole-slide images · Ming Y. Lu · 2021 · 2284 citations · Cited by this paper
  6. Digital pathology slide re-scan requests: A viewer-neutral LIS solution · 2026 · Related
  7. Towards a general-purpose foundation model for computational pathology · Richard J. Chen · 2024 · 1473 citations · Cited by this paper
  8. Bringing the big picture into focus: Transforming gross specimen imaging with digital pathology & AI · 2026 · Related
  9. A visual-language foundation model for computational pathology · Ming Y. Lu · 2024 · 921 citations · Cited by this paper
  10. Automated Helicobacter pylori detection on HE slides · 2026 · Related
  11. Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features · Yan Lei Xu · 2017 · 432 citations · Cited by this paper
  12. Expanding diagnostic access in the Amazon through digital pathology: A real-world experience · 2026 · Related
  13. Updated diagnostic criteria and nomenclature for neurofibromatosis type 2 and schwannomatosis: An international consensus recommendation · Scott Randall Plotkin · 2022 · 298 citations · Cited by this paper
  14. Transition of cytology service from on-site to remote off-site digital evaluation of adequacy · 2026 · Related
  15. Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles · Jocelyn Barker · 2015 · 225 citations · Cited by this paper
  16. The Dutch Nationwide Pathology Databank and its central role in health research · 2026 · Related
  17. Nerve sheath tumours with hybrid features of neurofibroma and schwannoma: a conceptual challenge · Mel Β. Feany · 1998 · 222 citations · Cited by this paper
  18. A study of stain variability using control tissue with the Tango QC tool; is it time for standards? · 2026 · Related
  19. Recent Advances of Deep Learning for Computational Histopathology: Principles and Applications · Yawen Wu · 2022 · 143 citations · Cited by this paper
  20. Hybrid Neurofibroma/Schwannoma is Overrepresented Among Schwannomatosis and Neurofibromatosis Patients · Anja Harder · 2012 · 142 citations · Cited by this paper
  21. Deep learning-based framework for slide-based histopathological image analysis · Sai Kosaraju · 2022 · 47 citations · Cited by this paper
  22. Generalization of Youden index for multiple‐class classification problems applied to the assessment of externally validated cognition in Parkinson disease screening · Christos Theodoros Nakas · 2012 · 42 citations · Cited by this paper
  23. Targetable ERBB2 mutations identified in neurofibroma/schwannoma hybrid nerve sheath tumors · Michael W. Ronellenfitsch · 2020 · 42 citations · Cited by this paper
  24. Pathogenese und Molekularpathologie des Vestibularisschwannoms · Michael Brodhun · 2016 · 34 citations · Cited by this paper
  25. Molecular Analysis of Hybrid Neurofibroma/Schwannoma Identifies Common Monosomy 22 and α-T-Catenin/CTNNA3 as a Novel Candidate Tumor Suppressor · Verena Stahn · 2016 · 31 citations · Cited by this paper
  26. Tumors displaying hybrid schwannoma and neurofibroma features in patients with neurofibromatosis type 2 · Blake K. Montgomery · 2015 · 26 citations · Cited by this paper
  27. Machine learning approach to differentiation of peripheral schwannomas and neurofibromas: A multi-center study · Michael Yu Zhang · 2021 · 22 citations · Cited by this paper
  28. Revised Classification of Inner Ear Schwannomas · Stefan K. Plontke · 2024 · 20 citations · Cited by this paper
  29. Mutation-induced LZTR1 polymerization provokes cardiac pathology in recessive Noonan syndrome · Alexandra Viktoria Busley · 2024 · 18 citations · Cited by this paper
  30. VGLL fusions define a new class of intraparenchymal central nervous system schwannoma · Simone Schmid · 2024 · 16 citations · Cited by this paper
  31. Peripheral nerve sheath tumors: an update and review of diagnostic challenges · Javier N. De Luca-Johnson · 2016 · 15 citations · Cited by this paper
  32. Review and update in the diagnosis of peripheral nerve sheath tumors · Anders R.L. Meyer · 2020 · 14 citations · Cited by this paper
  33. Beyond Hybrid Morphology: A Large Series of Fusion-Driven Benign Peripheral Nerve Sheath Tumors Including 5 Tumors With Novel Fusions · Carina Anja Dehner · 2025 · 7 citations · Cited by this paper
  34. Spatially resolved transcriptomics of benign and malignant peripheral nerve sheath tumors · Juliane Bremer · 2025 · 6 citations · Cited by this paper
  35. Hybrid neurofibroma/schwannoma in schwannomatosis—a diagnostically challenging benign peripheral nerve sheath tumour · Daniel Tippner · 2025 · 3 citations · Cited by this paper
  36. The impact of artificial intelligence in the diagnosis and management of acoustic neuroma: A systematic review · Hadeel Alsaleh · 2024 · 3 citations · Cited by this paper
  37. Untitled · Cited by this paper

Source: OpenAlex (CC0)