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Survival Prediction

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Showing 126–150 of 233 papers

TitleStatusHype
An Effective Meaningful Way to Evaluate Survival ModelsCode0
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients—0
Masked Pre-Training of Transformers for Histology Image AnalysisCode0
Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction—0
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic ReviewCode0
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study—0
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images—0
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images—0
CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation—0
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image—0
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue MicroarraysCode0
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and GenomicsCode0
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological ImagesCode0
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction—0
Recurrence-free Survival Prediction under the Guidance of Automatic Gross Tumor Volume Segmentation for Head and Neck CancersCode0
Deep Learning-Based Discrete Calibrated Survival PredictionCode0
KL-divergence Based Deep Learning for Discrete Time Model—0
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival PredictionCode0
Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical ImagesCode0
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis—0
Coupling Deep Imputation with Multitask Learning for Downstream Tasks on Genomics DataCode0
Colorectal cancer survival prediction using deep distribution based multiple-instance learning—0
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features—0
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data—0
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction modelsCode0
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