| _ | survival | _ |
|---|
| 3D Deep Attention Network for | survival | Prediction from Magnetic Resonance Images in Glioblastoma |
| Bias in Cross-Entropy-Based Training of Deep | survival | Networks |
| Big-Hypergraph Factorization Neural Network for | survival | Prediction From Whole Slide Image |
| Brain tumor detection and patient | survival | prediction using U-Net and regression model |
| Brain tumor segmentation and multiview multiscale-based radiomic model for patient's overall | survival | prediction |
| Brain tumor segmentation and | survival | time prediction using graph momentum fully convolutional network with modified Elman spike neural network |
| Bus arrival time prediction and measure of uncertainties using | survival | models |
| Cancer | survival | Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency |
| Causally-Aware Intraoperative Imputation for Overall | survival | Time Prediction |
| Characterizing the | survival | -Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data |
| Combining Remotely Sensed Imagery with | survival | Models for Outage Risk Estimation of the Power Grid |
| Cross-Modal Translation and Alignment for | survival | Analysis |
| Deep learning and machine learning-based early | survival | predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities |
| Deep learning-based | survival | prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging |
| Deep | survival | analysis with longitudinal X-rays for COVID-19 |
| Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and | survival | Guide |
| Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and | survival | Analysis on PD-L1 Stained Tissue Images |
| Enhancing the Prediction of Lung Cancer | survival | Rates Using 2d Features from 3d Scans |
| Evolution of GIPSY, or the | survival | of an Image Processing System, The |
| Exploring Brain Tumor Heterogeneity for | survival | Time Prediction |
| FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative | survival | Analysis of Human Cancers |
| Finite mixture | survival | model for examining the variability of urban arterial travel time for buses, passenger cars and taxis |
| Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for | survival | Prediction |
| GPSRL: Learning Semi-Parametric Bayesian | survival | Rule Lists from Heterogeneous Patient Data |
| Hierarchical Transformer for | survival | Prediction Using Multimodality Whole Slide Images and Genomics |
| Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer | survival | Prediction |
| Leveraging Unlabeled Data for Glioma Molecular Subtype and | survival | Prediction |
| Monitoring Seedling Emergence, Growth, and | survival | Using Repeat High-Resolution Imagery |
| Multi-level dilated convolutional neural network for brain tumour segmentation and multi-view-based radiomics for overall | survival | prediction |
| Multimodal Co-Attention Transformer for | survival | Prediction in Gigapixel Whole Slide Images |
| Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for | survival | Prediction |
| Mutual-Assistance Learning for Standalone Mono-Modality | survival | Analysis of Human Cancers |
| Non-invasive prediction of overall | survival | time for glioblastoma multiforme patients based on multimodal MRI radiomics |
| On utilizing 2D features from 3D scans to enhance the prediction of lung cancer | survival | rates |
| Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to | survival | Prediction in Glioblastoma |
| survival | Analysis based on Lung Tumor Segmentation using Global Context-aware Transformer in Multimodality |
| survival | Analysis, Cancer Survival |
| survival | Analysis, Cancer Survival |
| survival | Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution |
| Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with | survival | |
| Traffic incident duration analysis and prediction models based on the | survival | analysis approach |
| Watermark | survival | chance (WSC) concept for improving watermark robustness against JPEG compression |
| Weakly Supervised Deep Ordinal Cox Model for | survival | Prediction From Whole-Slide Pathological Images |
| WSISA: Making | survival | Prediction from Whole Slide Histopathological Images |
| Zombie | survival | Optimization: A swarm intelligence algorithm inspired by zombie foraging |
45 for survival