Survival Prediction

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 99 papers with code (233 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge
  28 Feb 2018 7 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Quantitative analysis of brain tumors is critical for clinical decision making.
• Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
  14 Jun 2023 3 repositories listed Syntology ran 10 of 18 samples · 8 unverified · 18 pointer-only (licence)
  Survival prediction is a complicated ordinal regression task that aims to predict the ranking risk of death, which generally benefits from the integration of histology and genomic data.
• Molecular-driven Foundation Model for Oncologic Pathology
  28 Jan 2025 2 repositories listed
  Foundation models are reshaping computational pathology by enabling transfer learning, where models pre-trained on vast datasets can be adapted for downstream diagnostic, prognostic, and therapeutic response tasks.
• AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
  17 May 2023 2 repositories listed
  Instead of adopting MTL, we propose a novel Segmentation-to-Survival Learning (SSL) strategy, where our AdaMSS is trained for tumor segmentation and survival prediction sequentially in two stages.
• Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction
  13 Apr 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  We propose fusing both modalities using a memory-efficient multimodal Transformer that can model interactions between pathway and histology patch tokens.
• Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
  6 Jun 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Vision Transformers (ViTs) and their multi-scale and hierarchical variations have been successful at capturing image representations but their use has been generally studied for low-resolution images (e.
• DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
  16 Sep 2021 2 repositories listed
  However, the models using the whole target regions will also include non-relevant background information, while the models using segmented tumor regions will disregard potentially prognostic information existing out of…
• Conformalized Survival Analysis
  17 Mar 2021 2 repositories listed
  Existing survival analysis techniques heavily rely on strong modelling assumptions and are, therefore, prone to model misspecification errors.
• Interpretable, similarity-driven multi-view embeddings from high-dimensional biomedical data
  11 Jun 2020 2 repositories listed
  Similarity-driven multi-view linear reconstruction (SiMLR) is an algorithm that exploits inter-modality relationships to transform large scientific datasets into smaller, more well-powered and interpretable…
• Countdown Regression: Sharp and Calibrated Survival Predictions
  21 Jun 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Probabilistic survival predictions from models trained with Maximum Likelihood Estimation (MLE) can have high, and sometimes unacceptably high variance.
• OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
  25 Jun 2025 1 repository listed Syntology ran 3 of 10 samples · 7 unverified · 10 pointer-only (licence)
  Survival prediction using whole slide images (WSIs) can be formulated as a multiple instance learning (MIL) problem.
• Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance
  17 May 2025 1 repository listed
  In this paper, we propose a multimodal survival prediction framework that incorporates hypergraph learning to effectively capture both contextual and hierarchical details from pathology images.
• Multimodal Survival Modeling in the Age of Foundation Models
  12 May 2025 1 repository listed
  Prior studies have trained bespoke cancer survival prediction models from unimodal or multimodal TCGA data.
• Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
  24 Apr 2025 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Survival analysis often relies on Cox models, assuming both linearity and proportional hazards (PH).
• AdaMHF: Adaptive Multimodal Hierarchical Fusion for Survival Prediction
  27 Mar 2025 1 repository listed
  Furthermore, we introduce a survival prediction benchmark designed to resolve scenarios with missing modalities, mirroring real-world clinical conditions.
• VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
  25 Mar 2025 1 repository listed
  Multimodal learning combining pathology images and genomic sequences enhances cancer survival analysis but faces clinical implementation barriers due to limited access to genomic sequencing in under-resourced regions.
• PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
  23 Mar 2025 1 repository listed
  Breast cancer survival prediction in computational pathology presents a remarkable challenge due to tumor heterogeneity.
• Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification
  17 Mar 2025 1 repository listed
  Our simulation results show that the proposed Bayesian Cox model with graph-based prior knowledge results in more trustable and stable variable selection and non-inferior survival prediction, compared to methods…
• From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis
  14 Mar 2025 1 repository listed
  The histopathological classification of whole-slide images (WSIs) is a fundamental task in digital pathology; yet it requires extensive time and expertise from specialists.
• Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model Representations
  13 Mar 2025 1 repository listed
  Accurate survival prediction in oncology requires integrating diverse imaging modalities to capture the complex interplay of tumor biology.
• Prototype-Guided Cross-Modal Knowledge Enhancement for Adaptive Survival Prediction
  13 Mar 2025 1 repository listed
  Histo-genomic multimodal survival prediction has garnered growing attention for its remarkable model performance and potential contributions to precision medicine.
• Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder
  12 Mar 2025 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
  To generate different functional genomic features, we develop a novel Latent Differentiation Variational AutoEncoder (LD-VAE) to learn the common and specific posteriors for the genomic embeddings with diverse functions.
• Adaptive Prototype Learning for Multimodal Cancer Survival Analysis
  6 Mar 2025 1 repository listed
  Leveraging multimodal data, particularly the integration of whole-slide histology images (WSIs) and transcriptomic profiles, holds great promise for improving cancer survival prediction.
• CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
  3 Mar 2025 1 repository listed
  Cancer survival prediction from whole slide images (WSIs) is a challenging task in computational pathology due to the large size, irregular shape, and high granularity of the WSIs.
• A Data-Efficient Pan-Tumor Foundation Model for Oncology CT Interpretation
  10 Feb 2025 1 repository listed
  Artificial intelligence-assisted imaging analysis has made substantial strides in tumor diagnosis and management.
• ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction
  6 Jan 2025 1 repository listed
  Survival prediction is a crucial task in the medical field and is essential for optimizing treatment options and resource allocation.
• Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
  27 Nov 2024 1 repository listed
  Purpose: Immunotherapies have revolutionized the landscape of cancer treatments.
• xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer
  12 Nov 2024 1 repository listed
  Understanding how deep learning models predict oncology patient risk can provide critical insights into disease progression, support clinical decision-making, and pave the way for trustworthy and data-driven precision…
• Toward Conditional Distribution Calibration in Survival Prediction
  27 Oct 2024 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Survival prediction often involves estimating the time-to-event distribution from censored datasets.
• HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks
  19 Oct 2024 1 repository listed Syntology ran 0 of 8 samples · 8 unverified · 8 pointer-only (licence)
  In this paper, we introduce HACSurv, a survival analysis method that learns Hierarchical Archimedean Copulas structures and cause-specific survival functions from data with competing risks.

Syntology lines on 10 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.