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Survival Prediction

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Showing 101–150 of 233 papers

TitleStatusHype
Deep learning-based survival prediction for multiple cancer types using histopathology images—0
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding—0
Deep Learning for interpretable end-to-end survival prediction in gastrointestinal cancer histopathology—0
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction—0
DeepMMSA: A Novel Multimodal Deep Learning Method for Non-small Cell Lung Cancer Survival Analysis—0
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging—0
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning—0
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction—0
Long-MIL: Scaling Long Contextual Multiple Instance Learning for Histopathology Whole Slide Image Analysis—0
Look a Group at Once: Multi-Slide Modeling for Survival Prediction—0
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction—0
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review—0
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images—0
MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning—0
MMIST-ccRCC: A Real World Medical Dataset for the Development of Multi-Modal Systems—0
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis—0
Multi-modal Intermediate Feature Interaction AutoEncoder for Overall Survival Prediction of Esophageal Squamous Cell Cancer—0
Multimodal Outer Arithmetic Block Dual Fusion of Whole Slide Images and Omics Data for Precision Oncology—0
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction—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
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
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
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
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
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks—0
RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction—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
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
Sparse Multi-Modal Graph Transformer With Shared-Context Processing for Representation Learning of Giga-Pixel Images—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
Survival and grade of the glioma prediction using transfer learning—0
Survival Prediction Across Diverse Cancer Types Using Neural Networks—0
Survival prediction and risk estimation of Glioma patients using mRNA expressions—0
Survival Prediction in Lung Cancer through Multi-Modal Representation Learning—0
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data—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
Survival prediction of head and neck squamous cell carcinoma using machine learning models—0
Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm—0
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