Research map: FORESEE: Multimodal and multiview representation learning for robust cancer survival prediction

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  1. The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data · Ethan G Cerami · 2012 · 18797 citations · Cited by this paper
  2. Physical PPG signal synthesis via reinforcement learning-based LED control · 2026 · Related
  3. Masked Autoencoders Are Scalable Vision Learners · Kaiming He · 2022 · 7934 citations · Cited by this paper
  4. HTST-Net: A hierarchical time-distributed network with spatial–temporal feature gated fusion for genomic insertion variant calling · 2026 · Related
  5. Recent advances in convolutional neural networks · Jiuxiang Gu · 2017 · 6422 citations · Cited by this paper
  6. PRISM-FedSeg: enhancing medical image segmentation through self-supervised federated learning with privacy preservation · 2026 · Related
  7. Data-efficient and weakly supervised computational pathology on whole-slide images · Ming Y. Lu · 2021 · 2284 citations · Cited by this paper
  8. Desynchronization Index: A new connectivity approach for exploring epileptogenic networks · 2026 · Related
  9. Noise in Gene Expression: Origins, Consequences, and Control · Jonathan M. Raser · 2005 · 1860 citations · Cited by this paper
  10. Principal time–frequency component analysis for interpretable motor imagery BCIs · 2026 · Related
  11. ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders · Sanghyun Woo · 2023 · 1586 citations · Cited by this paper
  12. A unified framework for integrated prediction and personalized management of hormonal and mental health disorders · 2026 · Related
  13. Variational Autoencoders for Collaborative Filtering · Dawen Liang · 2018 · 1349 citations · Cited by this paper
  14. SHHN: A Sequential Hierarchy Hybrid Network for multimodal cancer survival prediction · 2026 · Related
  15. SimMIM: a Simple Framework for Masked Image Modeling · Zhenda Xie · 2022 · 1237 citations · Cited by this paper
  16. EMG-derived chaotic feature-based induced pain assessment technique using CNN architecture · 2026 · Related
  17. Predicting cancer outcomes from histology and genomics using convolutional networks · Pooya Mobadersany · 2018 · 1120 citations · Cited by this paper
  18. A hybrid convolutional neural-transformer framework with center-based separation index pruning for depression detection from electroencephalography signals · 2026 · Related
  19. Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification · Le Hou · 2016 · 906 citations · Cited by this paper
  20. Atrial fibrillation detection using beat-to-beat RR intervals and deep learning in large databases · 2026 · Related
  21. Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning · Bin Li · 2021 · 887 citations · Cited by this paper
  22. Pan-cancer integrative histology-genomic analysis via multimodal deep learning · Richard J. Chen · 2022 · 657 citations · Cited by this paper
  23. 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
  24. Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning · Richard J. Chen · 2022 · 575 citations · Cited by this paper
  25. Masked Feature Prediction for Self-Supervised Visual Pre-Training · Chen Wei · 2022 · 560 citations · Cited by this paper
  26. Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks · Jiawen Yao · 2020 · 533 citations · Cited by this paper
  27. VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking · Limin Wang · 2023 · 495 citations · Cited by this paper
  28. DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification · Hongrun Zhang · 2022 · 475 citations · Cited by this paper
  29. Deep learning with multimodal representation for pancancer prognosis prediction · Anika Cheerla · 2019 · 433 citations · Cited by this paper
  30. Stacked Convolutional Denoising Auto-Encoders for Feature Representation · Bo Du · 2016 · 423 citations · Cited by this paper
  31. Artificial intelligence (AI) and big data in cancer and precision oncology · Zodwa Dlamini · 2020 · 404 citations · Cited by this paper
  32. Multivariate survival analysis using Cox's regression model · Erik I. Christensen · 1987 · 381 citations · Cited by this paper
  33. Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images · Richard J. Chen · 2021 · 374 citations · Cited by this paper
  34. Analysis of error profiles in deep next-generation sequencing data · Xiaotu Ma · 2019 · 363 citations · Cited by this paper
  35. Long-term cancer survival prediction using multimodal deep learning · Luís A. Vale-Silva · 2021 · 270 citations · Cited by this paper
  36. VideoMAE: Masked Autoencoders Are Data-Efficient Learners for Self-Supervised Video Pre-Training · Zhan Tong · 2022 · 243 citations · Cited by this paper
  37. Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities · Tongxue Zhou · 2021 · 226 citations · Cited by this paper
  38. Information fusion for intuitionistic fuzzy decision making: An overview · Zeshui Xu · 2015 · 219 citations · Cited by this paper
  39. Bias in Cross-Entropy-Based Training of Deep Survival Networks · Shekoufeh Gorgi Zadeh · 2020 · 209 citations · Cited by this paper

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