Research map: Enhancing multimodal survival prediction: tri-modal learning with clinical knowledge integration via state space models

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Papers in this map

  1. Data-efficient and weakly supervised computational pathology on whole-slide images · Ming Y. Lu · 2021 · 2284 citations · Cited by this paper
  2. Contrast-enhanced ultrasound-guided biopsy and perfusion monitoring for bladder involvement in relapsed multiple myeloma: a case report · 2026 · Related
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  5. Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology · Kaustav Bera · 2019 · 1732 citations · Cited by this paper
  6. Adaptive dosing of immunotherapy plus anti-angiogenic therapy in a nonagenarian with hepatocellular carcinoma: a case report with 10-year survival · 2026 · Related
  7. Towards a general-purpose foundation model for computational pathology · Richard J. Chen · 2024 · 1473 citations · Cited by this paper
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  9. Predicting cancer outcomes from histology and genomics using convolutional networks · Pooya Mobadersany · 2018 · 1120 citations · Cited by this paper
  10. Case Report: a hypermetabolic mediastinal mass (SUVmax 16.7) mimicking malignancy with spontaneous resolution: an inflammatory myofibroblastic proliferation and diagnostic pitfall · 2026 · Related
  11. Deep learning in cancer diagnosis, prognosis and treatment selection · Khoa Anh Tran · 2021 · 964 citations · Cited by this paper
  12. Variations in histopathological and molecular subtypes between primary breast carcinoma and associated liver metastatic lesions · 2026 · Related
  13. A visual-language foundation model for computational pathology · Ming Y. Lu · 2024 · 921 citations · Cited by this paper
  14. Concurrent icotinib and definitive radiotherapy followed by detection of an EGFR exon 20 insertion at disease progression in unresectable stage III EGFR S768I-mutant lung adenocarcinoma: a case report · 2026 · Related
  15. Artificial intelligence for multimodal data integration in oncology · Jana Lipková · 2022 · 772 citations · Cited by this paper
  16. Perioperative outcomes and prognostic determinants in adult spindle cell/sclerosing rhabdomyosarcoma: implications of treatment intensity, surgical margins, and molecular heterogeneity · 2026 · Related
  17. Pan-cancer integrative histology-genomic analysis via multimodal deep learning · Richard J. Chen · 2022 · 657 citations · Cited by this paper
  18. The combined compartmental maxillary resection: technique codification and preliminary multicenter series analysis · 2026 · Related
  19. Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis · Richard J. Chen · 2020 · 654 citations · Cited by this paper
  20. Baseline 18F-FDG PET/CT metabolic parameters and systemic inflammatory markers in advanced NSCLC treated with first-line immunotherapy: an exploratory retrospective analysis · 2026 · Related
  21. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study · Ole-Johan Skrede · 2020 · 642 citations · Cited by this paper
  22. Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks · Jiawen Yao · 2020 · 533 citations · Cited by this paper
  23. A foundation model for clinical-grade computational pathology and rare cancers detection · Eugene Vorontsov · 2024 · 531 citations · Cited by this paper
  24. Biologically informed deep neural network for prostate cancer discovery · Haitham Elmarakeby · 2021 · 472 citations · Cited by this paper
  25. Deep learning with multimodal representation for pancancer prognosis prediction · Anika Cheerla · 2019 · 433 citations · Cited by this paper
  26. Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images · Richard J. Chen · 2021 · 374 citations · Cited by this paper
  27. The impact of site-specific digital histology signatures on deep learning model accuracy and bias · Frederick Matthew Howard · 2021 · 316 citations · Cited by this paper
  28. WSISA: Making Survival Prediction from Whole Slide Histopathological Images · Xinliang Zhu · 2017 · 304 citations · Cited by this paper
  29. Long-term cancer survival prediction using multimodal deep learning · Luís A. Vale-Silva · 2021 · 270 citations · Cited by this paper
  30. Deep learning for survival analysis: a review · Simon Wiegrebe · 2024 · 172 citations · Cited by this paper
  31. Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction · Guillaume Jaume · 2024 · 143 citations · Cited by this paper
  32. Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction · Yingxue Xu · 2023 · 128 citations · Cited by this paper
  33. Cross-Modal Translation and Alignment for Survival Analysis · Fengtao Zhou · 2023 · 116 citations · Cited by this paper
  34. Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis · Wei Shao · 2019 · 111 citations · Cited by this paper
  35. Review of statistical methods for survival analysis using genomic data · Seungyeoun Lee · 2019 · 77 citations · Cited by this paper
  36. Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction · Wentai Hou · 2023 · 73 citations · Cited by this paper
  37. Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data · Can Cui · 2022 · 41 citations · Cited by this paper
  38. Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis · Huajun Zhou · 2024 · 32 citations · Cited by this paper
  39. A novel miRNA-based classification model of risks and stages for clear cell renal cell carcinoma patients · Eskezeia Yihunie Dessie · 2021 · 26 citations · Cited by this paper

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