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Survival Prediction

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Showing 101–150 of 233 papers

TitleStatusHype
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
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
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
Unleashing the Power of Extra-Tree Feature Selection and Random Forest Classifier for Improved Survival Prediction in Heart Failure Patients—0
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
An explainable model to support the decision about the therapy protocol for AML—0
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
Copula-Based Deep Survival Models for Dependent Censoring—0
An empirical study of using radiology reports and images to improve ICU mortality prediction—0
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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