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Survival Prediction

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Showing 51–100 of 233 papers

TitleStatusHype
Towards A Generalizable Pathology Foundation Model via Unified Knowledge DistillationCode2
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis—0
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question AnsweringCode2
SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide ImagesCode0
Multimodal Prototyping for cancer survival predictionCode2
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological ImagesCode1
MoME: Mixture of Multimodal Experts for Cancer Survival PredictionCode1
Embedding-based Multimodal Learning on Pan-Squamous Cell Carcinomas for Improved Survival Outcomes—0
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data—0
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis—0
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report GenerationCode0
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma—0
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks—0
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation—0
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19Code0
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems—0
Multi-Scale Heterogeneity-Aware Hypergraph Representation for Histopathology Whole Slide ImagesCode1
Explainable Survival Analysis with Uncertainty using Convolution-Involved Vision Transformer—0
Survival Prediction Across Diverse Cancer Types Using Neural Networks—0
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction—0
VASARI-auto: equitable, efficient, and economical featurisation of glioma MRICode0
Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction—0
SurvRNC: Learning Ordered Representations for Survival Prediction using Rank-N-ContrastCode0
SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survivalCode0
Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection—0
AI-Enabled Lung Cancer Prognosis—0
Survival and grade of the glioma prediction using transfer learning—0
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review—0
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival PredictionCode2
Tumor Micro-environment Interactions Guided Graph Learning for Survival Analysis of Human Cancers from Whole-slide Pathological ImagesCode1
When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology—0
Towards Clinical Prediction with Transparency: An Explainable AI Approach to Survival Modelling in Residential Aged CareCode0
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis—0
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction—0
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction—0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Cross-Modal Translation and Alignment for Survival AnalysisCode1
Improving diagnosis and prognosis of lung cancer using vision transformers: A scoping review—0
Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model—0
Area-norm COBRA on Conditional Survival Prediction—0
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival PredictionCode1
Unleashing the Power of Extra-Tree Feature Selection and Random Forest Classifier for Improved Survival Prediction in Heart Failure Patients—0
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODECode1
Pathology-and-genomics Multimodal Transformer for Survival Outcome PredictionCode1
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing ValuesCode0
Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical DataCode0
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck CancerCode1
An explainable model to support the decision about the therapy protocol for AML—0
HVTSurv: Hierarchical Vision Transformer for Patient-Level Survival Prediction from Whole Slide ImageCode1
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