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Survival Prediction

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Showing 101–150 of 233 papers

TitleStatusHype
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding—0
Cross-Validation Is All You Need: A Statistical Approach To Label Noise EstimationCode0
An empirical study of using radiology reports and images to improve ICU mortality prediction—0
Copula-Based Deep Survival Models for Dependent Censoring—0
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival PredictionCode1
An Effective Meaningful Way to Evaluate Survival ModelsCode0
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT ImagesCode1
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
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival PredictionCode1
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic ReviewCode0
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study—0
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel ImagesCode1
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images—0
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival PredictionCode1
LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image—0
CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation—0
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images—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
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival PredictionCode1
Deep Learning-Based Discrete Calibrated Survival PredictionCode0
KL-divergence Based Deep Learning for Discrete Time Model—0
A Comparative Study for Time-to-Event Analysis and Survival Prediction for Heart Failure Condition using Machine Learning TechniquesCode1
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival PredictionCode0
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance poolingCode1
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised LearningCode2
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
Brain Cancer Survival Prediction on Treatment-na ive MRI using Deep Anchor Attention Learning with Vision Transformer—0
Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis—0
Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomicsCode0
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural NetworkCode0
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with AttentionCode1
DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural NetworksCode0
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images—0
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images—0
Improving Reproducibility and Performance of Radiomics in Low Dose CT using Cycle GANs—0
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction—0
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