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Prognosis

Predict the remaining useful life

Papers

Showing 101150 of 900 papers

TitleStatusHype
Low dimensional representation of multi-patient flow cytometry datasets using optimal transport for minimal residual disease detection in leukemiaCode0
MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide imagesCode0
Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology SegmentationCode0
Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological TumorsCode0
Latent regularization for feature selection using kernel methods in tumor classificationCode0
Masked Pre-Training of Transformers for Histology Image AnalysisCode0
Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class ClassificationCode0
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS ChallengeCode0
Improving Mitosis Detection Via UNet-based Adversarial Domain HomogenizerCode0
HuLP: Human-in-the-Loop for PrognosisCode0
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre studyCode0
Histopathologic Cancer DetectionCode0
ICHPro: Intracerebral Hemorrhage Prognosis Classification Via Joint-attention Fusion-based 3d Cross-modal NetworkCode0
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal LearningCode0
MAVIDH Score: A COVID-19 Severity Scoring using Chest X-Ray Pathology FeaturesCode0
Image Distillation for Safe Data Sharing in HistopathologyCode0
HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing RisksCode0
A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery PatientsCode0
A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma PredictionCode0
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT ImagesCode0
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records DataCode0
A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide ImagesCode0
Modeling Barrett's Esophagus Progression using Geometric Variational AutoencodersCode0
Generative Aging of Brain Images with Diffeomorphic RegistrationCode0
Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival PredictionCode0
Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor SegmentationCode0
Addressing detection of left bundle branch block by means of electrocardiogram’s signals using Machine Learning algorithmsCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Guidelines for Augmentation Selection in Contrastive Learning for Time Series ClassificationCode0
Flexible Group Fairness Metrics for Survival AnalysisCode0
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image ClassificationCode0
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical dataCode0
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationCode0
Exploring Self-Supervised Representation Learning For Low-Resource Medical Image AnalysisCode0
Gene-MOE: A sparsely gated prognosis and classification framework exploiting pan-cancer genomic informationCode0
Maximising Histopathology Segmentation using Minimal Labels via Self-SupervisionCode0
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy ImagesCode0
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing FlowsCode0
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth ModelsCode0
Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functionsCode0
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological ImagesCode0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
Dynamic Multimodal Information Bottleneck for Multimodality ClassificationCode0
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of HistopathologyCode0
An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion TypesCode0
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology ImagesCode0
Domain Knowledge Based Brain Tumor Segmentation and Overall Survival PredictionCode0
Diagnosis and Prognosis of Faults in High-Speed Aeronautical Bearings with a Collaborative Selection Incremental Deep Transfer Learning ApproachCode0
DiffExplainer: Unveiling Black Box Models Via Counterfactual GenerationCode0
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