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Survival Prediction

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Showing 151–200 of 233 papers

TitleStatusHype
A Review on End-To-End Methods for Brain Tumor Segmentation and Overall Survival Prediction—0
Area-norm COBRA on Conditional Survival Prediction—0
Advancing Gene Selection in Oncology: A Fusion of Deep Learning and Sparsity for Precision Gene Selection—0
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction—0
Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining—0
Netboost: Boosting-supported network analysis improves high-dimensional omics prediction in acute myeloid leukemia and Huntington's disease—0
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis—0
Novel Radiomic Feature for Survival Prediction of Lung Cancer Patients using Low-Dose CBCT Images—0
A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction—0
An explainable model to support the decision about the therapy protocol for AML—0
Path-GPTOmic: A Balanced Multi-modal Learning Framework for Survival Outcome Prediction—0
PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images—0
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients—0
An empirical study of using radiology reports and images to improve ICU mortality prediction—0
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis—0
Performance Evaluation of Transcriptomics Data Normalization for Survival Risk Prediction—0
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction—0
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images—0
Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis—0
Prediction of 5-year Progression-Free Survival in Advanced Nasopharyngeal Carcinoma with Pretreatment PET/CT using Multi-Modality Deep Learning-based Radiomics—0
Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning—0
A hierarchical fusion framework integrating random projection-based classifiers: application in head and neck squamous carcinoma cancer—0
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction—0
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data—0
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma—0
Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model—0
Unbiased split variable selection for random survival forests using maximally selected rank statistics—0
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty—0
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks—0
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction—0
A Multi-Modal Graph-Based Semi-Supervised Pipeline for Predicting Cancer Survival—0
Robust Multimodal Survival Prediction with Conditional Latent Differentiation Variational AutoEncoder—0
Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records—0
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data—0
Uncertainty Estimation in Cancer Survival Prediction—0
Unleashing the Power of Extra-Tree Feature Selection and Random Forest Classifier for Improved Survival Prediction in Heart Failure Patients—0
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma—0
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction—0
SeqRisk: Transformer-augmented latent variable model for improved survival prediction with longitudinal data—0
Y-net: Biomedical Image Segmentation and Clustering—0
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images—0
Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles—0
Strategies to integrate multi-omics data for patient survival prediction—0
Supervised Machine Learning for Breast Cancer Risk Factors Analysis and Survival Prediction—0
Deep Convolutional Neural Networks for Imaging Data Based Survival Analysis of Rectal Cancer—0
Survival and grade of the glioma prediction using transfer learning—0
Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer—0
Deep learning-based survival prediction for multiple cancer types using histopathology images—0
Survival Prediction Across Diverse Cancer Types Using Neural Networks—0
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding—0
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