Research map: Risk stratification of IDH-wildtype glioblastoma: Deep learning on histopathology images and biological interpretation

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  1. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 · Michael I. Love · 2014 · 104531 citations · Cited by this paper
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  13. L 1 Penalized Estimation in the Cox Proportional Hazards Model · Jelle J. Goeman · 2009 · 837 citations · Cited by this paper
  14. Barbed versus polyglactin sutures for pharyngeal closure after total laryngectomy: A pilot study · 2026 · Related
  15. Wild-type isocitrate dehydrogenase under the spotlight in glioblastoma · Gabriel Alzial · 2021 · 91 citations · Cited by this paper
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  17. New hints towards a precision medicine strategy for IDH wild-type glioblastoma · K. White · 2020 · 77 citations · Cited by this paper
  18. Surgical Quality Assessment of paravertebral catheter placement in minimally invasive esophagectomy: an exploratory post hoc analysis of the PEPMEN- trial · 2026 · Related
  19. GrandQC: A comprehensive solution to quality control problem in digital pathology · Zhilong Weng · 2024 · 69 citations · Cited by this paper
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  21. The Importance of M1-and M2-Polarized Macrophages in Glioma and as Potential Treatment Targets · Jiangbin Ren · 2023 · 60 citations · Cited by this paper
  22. A map of the altered glioma metabolism · Ruhi S. Deshmukh · 2021 · 50 citations · Cited by this paper
  23. Double-targeting CDCA8 and E2F1 inhibits the growth and migration of malignant glioma · Xiaoxiong Wang · 2021 · 38 citations · Cited by this paper
  24. “De novo replication repair deficient glioblastoma, IDH-wildtype” is a distinct glioblastoma subtype in adults that may benefit from immune checkpoint blockade · Sara Hadad · 2023 · 38 citations · Cited by this paper
  25. Longitudinal multimodal profiling of IDH-wildtype glioblastoma reveals the molecular evolution and cellular phenotypes underlying prognostically different treatment responses · Calixto‐Hope G. Lucas · 2024 · 30 citations · Cited by this paper
  26. Molecular diversity in isocitrate dehydrogenase-wild-type glioblastoma · Jawad Fares · 2024 · 26 citations · Cited by this paper
  27. Fibrillar extracellular matrix produced by pericyte‐like cells facilitates glioma cell dissemination · P Výmola · 2024 · 22 citations · Cited by this paper
  28. Deep learning links localized digital pathology phenotypes with transcriptional subtype and patient outcome in glioblastoma · Thomas Roetzer-Pejrimovsky · 2024 · 15 citations · Cited by this paper
  29. Glutaminolysis is associated with mitochondrial pathway activation and can be therapeutically targeted in glioblastoma · Kenji Miki · 2024 · 12 citations · Cited by this paper
  30. Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma · Bhakti Baheti · 2025 · 9 citations · Cited by this paper
  31. Brain tumour histopathology through the lens of deep learning: A systematic review · Chun Kiet Vong · 2025 · 6 citations · Cited by this paper
  32. Construction and validation of a prognostic nomogram model integrating machine learning-pathomics and clinical features in IDH-wildtype glioblastoma · Yaomin Li · 2025 · 5 citations · Cited by this paper
  33. Deep learning and pathomics analyses predict prognosis of high-grade gliomas · Yuchen Zhu · 2025 · 2 citations · Cited by this paper

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