相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Richard J. Chen et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2022)
Bias in Cross-Entropy-Based Training of Deep Survival Networks
Shekoufeh Gorgi Zadeh et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images
Richard J. Chen et al.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021) (2021)
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks
Richard J. Chen et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT VIII (2021)
Pan-cancer integrative histology-genomic analysis via interpretable multimodal deep learning
Richard J. Chen et al.
CLINICAL CANCER RESEARCH (2021)
A Comprehensive Analysis of Deep Regression
Stephane Lathuiliere et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Hypergraph Spectral Clustering for Point Cloud Segmentation
Songyang Zhang et al.
IEEE SIGNAL PROCESSING LETTERS (2020)
Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image
Fulin Luo et al.
IEEE TRANSACTIONS ON CYBERNETICS (2019)
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge
Peter Bandi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Hypergraph-based connectivity measures for signaling pathway topologies
Nicholas Franzese et al.
PLOS COMPUTATIONAL BIOLOGY (2019)
Deep Multi-instance Learning for Survival Prediction from Whole Slide Images
Jiawen Yao et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT I (2019)
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Zizhao Zhang et al.
NATURE MACHINE INTELLIGENCE (2019)
Predicting cancer outcomes from histology and genomics using convolutional networks
Pooya Mobadersany et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)
1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset
Geert Litjens et al.
GIGASCIENCE (2018)
Graph CNN for Survival Analysis on Whole Slide Pathological Images
Ruoyu Li et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT II (2018)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data
Mingxia Liu et al.
MEDICAL IMAGE ANALYSIS (2017)
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data
Mahtab Jahanbani Fard et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)
Relevance Vector Machine for Survival Analysis
Farkhondeh Kiaee et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph
Chen Zu et al.
MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2016 (2016)
Content-Based Visual Landmark Search via Multimodal Hypergraph Learning
Lei Zhu et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Boosting the Concordance Index for Survival Data - A Unified Framework To Derive and Evaluate Biomarker Combinations
Andreas Mayr et al.
PLOS ONE (2014)
Mutational landscape and significance across 12 major cancer types
Cyriac Kandoth et al.
NATURE (2013)
A cocktail algorithm for solving the elastic net penalized Cox’s regression in high dimensions
Yi Yang et al.
Statistics and Its Interface (2013)
Application of relevance vector machine and survival probability to machine degradation assessment
Achmad Widodo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
Umut Orhan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Lung cancer screening with low-dose helical CT: results from the National Lung Screening Trial (NLST)
Barnett S. Kramer et al.
JOURNAL OF MEDICAL SCREENING (2011)
Random survival forests for high-dimensional data
Hemant Ishwaran et al.
Statistical Analysis and Data Mining (2011)
Complex cell pooling and the statistics of natural images
Aapo Hyvarinen et al.
NETWORK-COMPUTATION IN NEURAL SYSTEMS (2007)
An introduction to ROC analysis
Tom Fawcett
PATTERN RECOGNITION LETTERS (2006)
Survival model predictive accuracy and ROC curves
PJ Heagerty et al.
BIOMETRICS (2005)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer
PJG Lisboa et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2003)