Anna Goldenberg

Q: What Schools Are Affiliated With Anna Goldenberg

Anna Goldenberg is affiliated with the following schools: University of Louisville, Carnegie Mellon University, University of Toronto

Anna Goldenberg's AcademicInfluence.com Rankings

Anna Goldenberg

Computer Science

#2416

World Rank

#2523

Historical Rank

Database

#8282

World Rank

#8647

Historical Rank

computer-science Degrees

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Computer Science

Why Is Anna Goldenberg Influential?

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According to Wikipedia, Anna Goldenberg is a Russian-born computer scientist and a full professor at University of Toronto's Department of Computer Science and the Department of Statistics, a senior scientist at the Hospital for Sick Children's Research Institute and the Associate Research Director for health at the Vector Institute for Artificial Intelligence. She is the first chair in biomedical informatics and artificial intelligence at the Hospital for Sick Children.

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Anna Goldenberg's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Similarity network fusion for aggregating data types on a genomic scale (2014) (1193)
Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma. (2017) (1092)
A Survey of Statistical Network Models (2009) (936)
Intertumoral Heterogeneity within Medulloblastoma Subgroups. (2017) (703)
Sensitive tumour detection and classification using plasma cell-free DNA methylomes (2018) (500)
Do no harm: a roadmap for responsible machine learning for health care (2019) (373)
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities (2018) (289)
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use (2019) (214)
Early statistical detection of anthrax outbreaks by tracking over-the-counter medication sales (2002) (200)
Explaining Image Classifiers by Counterfactual Generation (2018) (196)
PharmacoGx: an R package for analysis of large pharmacogenomic datasets (2015) (188)
TensorFlow: Biology's Gateway to Deep Learning? (2016) (183)
Transparency and reproducibility in artificial intelligence (2020) (167)
iReckon: Simultaneous isoform discovery and abundance estimation from RNA-seq data (2013) (130)
Machine learning approaches to drug response prediction: challenges and recent progress (2020) (101)
Biological embedding of experience: A primer on epigenetics (2019) (98)
To Embed or Not: Network Embedding as a Paradigm in Computational Biology (2019) (97)
Dr.VAE: improving drug response prediction via modeling of drug perturbation effects (2019) (89)
Subtyping: What It is and Its Role in Precision Medicine (2015) (81)
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks (2019) (80)
Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review (2020) (78)
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis (2016) (74)
Tractable learning of large Bayes net structures from sparse data (2004) (73)
Recurrent noncoding U1 snRNA mutations drive cryptic splicing in SHH medulloblastoma (2019) (71)
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding (2021) (50)
Recurrent non-coding U1-snRNA mutations drive cryptic splicing in Shh medulloblastoma (2019) (49)
Revisiting inconsistency in large pharmacogenomic studies (2015) (48)
Sex-specific regulation of weight and puberty by the Lin28/let-7 axis. (2016) (46)
How Interpretable and Trustworthy are GAMs? (2020) (43)
Revisiting inconsistency in large pharmacogenomic studies (2015) (41)
A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion (2003) (40)
A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information (2014) (39)
Brain-Behavior Participant Similarity Networks Among Youth and Emerging Adults with Schizophrenia Spectrum, Autism Spectrum, or Bipolar Disorder and Matched Controls (2018) (38)
Patient safety and quality improvement: Ethical principles for a regulatory approach to bias in healthcare machine learning (2020) (38)
Dr.VAE: Drug Response Variational Autoencoder (2017) (35)
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings (2020) (35)
Integrative Cancer Pharmacogenomics to Infer Large-Scale Drug Taxonomy. (2017) (32)
Dropout Feature Ranking for Deep Learning Models (2017) (31)
EquiNMF: Graph Regularized Multiview Nonnegative Matrix Factorization (2014) (31)
Assessment of pharmacogenomic agreement (2016) (29)
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation (2018) (29)
Machine learning approaches to drug response prediction: challenges and recent progress. (2020) (26)
A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning (2022) (25)
Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases (2018) (25)
Gene expression profiling of puberty-associated genes reveals abundant tissue and sex-specific changes across postnatal development (2017) (24)
Prediction of Cardiac Arrest from Physiological Signals in the Pediatric ICU (2018) (23)
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning (2021) (23)
What went wrong and when? Instance-wise feature importance for time-series black-box models (2020) (22)
Integration of Brain and Behavior Measures for Identification of Data-Driven Groups Cutting Across Children with ASD, ADHD, or OCD (2020) (22)
Labeling Nodes Using Three Degrees of Propagation (2012) (20)
Pathogenic Germline Variants in Cancer Susceptibility Genes in Children and Young Adults With Rhabdomyosarcoma (2021) (20)
Integration of DNA methylation & health scores identifies subtypes in myalgic encephalomyelitis/chronic fatigue syndrome. (2018) (18)
Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study (2012) (18)
Bayes net graphs to understand co-authorship networks? (2005) (18)
Revisiting inconsistency in large pharmacogenomic studies. (2017) (17)
The Toronto Postliver Transplantation Hepatocellular Carcinoma Recurrence Calculator: A Machine Learning Approach (2021) (17)
PPAR and GST polymorphisms may predict changes in intellectual functioning in medulloblastoma survivors (2019) (16)
A comprehensive EHR timeseries pre-training benchmark (2021) (16)
Unsupervised detection of genes of influence in lung cancer using biological networks (2011) (16)
Molecular Signatures for Tumor Classification: An Analysis of The Cancer Genome Atlas Data. (2017) (15)
Identifying Cancer Specific Functionally Relevant miRNAs from Gene Expression and miRNA-to-Gene Networks Using Regularized Regression (2013) (15)
Incorporating networks in a probabilistic graphical model to find drivers for complex human diseases (2017) (15)
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors (2020) (15)
Integrative pharmacogenomics analysis of patient-derived xenografts. (2019) (15)
Using grocery sales data for the detection of bio-terrorist attacks (2002) (14)
Vicus: Exploiting local structures to improve network-based analysis of biological data (2017) (14)
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation (2020) (14)
Integrative Pharmacogenomics Analysis of Patient Derived Xenografts (2018) (13)
Do no harm: a roadmap for responsible machine learning for health care (2019) (13)
Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework. (2021) (12)
What went wrong and when? Instance-wise Feature Importance for Time-series Models (2020) (12)
Dynamic Measurement Scheduling for Event Forecasting using Deep RL (2019) (12)
A quantitative super-resolution imaging toolbox for diagnosis of motile ciliopathies (2020) (11)
Dear Watch, Should I Get a COVID-19 Test? Designing deployable machine learning for wearables (2021) (11)
Towards Robust Classification Model by Counterfactual and Invariant Data Generation (2021) (11)
JBASE: Joint Bayesian Analysis of Subphenotypes and Epistasis (2015) (10)
Single-cell mapper (scMappR): using scRNA-seq to infer the cell-type specificities of differentially expressed genes (2020) (10)
Predicting Obstructive Hydronephrosis Based on Ultrasound Alone (2020) (10)
Explaining Image Classifiers by Adaptive Dropout and Generative In-filling (2018) (10)
Mixture Model for Sub-Phenotyping in GWAS (2011) (9)
Safikhani et al. reply (2016) (9)
Author Correction: Do no harm: a roadmap for responsible machine learning for health care (2019) (9)
Dermatological manifestations of hereditary fibrosing poikiloderma with tendon contractures, myopathy and pulmonary fibrosis (POIKTMP): a case series of 28 patients (2019) (8)
A Clinically and Biologically Based Subclassification of the Idiopathic Inflammatory Myopathies Using Machine Learning (2020) (8)
Exploratory Study of a New Model for Evolving Networks (2006) (8)
Stochastic Combinatorial Ensembles for Defending Against Adversarial Examples (2018) (8)
Safikhani et al. reply (2016) (8)
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data (2020) (8)
Scalable graphical models for social networks (2007) (7)
Identifying Modifiable Predictors of Long‐Term Survival in Liver Transplant Recipients With Diabetes Mellitus Using Machine Learning (2020) (7)
Explaining Time Series by Counterfactuals (2019) (7)
Bayesian Trees for Automated Cytometry Data Analysis. (2019) (6)
Predicting node characteristics from molecular networks. (2011) (5)
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL (2018) (5)
Similarity Network Fusion: A Novel Application to Making Clinical Diagnoses. (2018) (5)
Preparing a Clinical Support Model for Silent Mode in General Internal Medicine (2020) (5)
DNA Methylation Network Estimation with Sparse Latent Gaussian Graphical Model (2018) (4)
Development and validation of an ensemble machine learning framework for detection of all-cause advanced hepatic fibrosis: a retrospective cohort study. (2022) (4)
Evaluating and reducing cognitive load should be a priority for machine learning in healthcare (2022) (4)
Assessment of Machine Learning–Based Medical Directives to Expedite Care in Pediatric Emergency Medicine (2022) (4)
Using Generative Models for Pediatric wbMRI (2020) (4)
The promise of machine learning applications in solid organ transplantation (2022) (4)
Gradient-based Laplacian Feature Selection (2014) (4)
Conditional random slope: A new approach for estimating individual child growth velocity in epidemiological research (2017) (4)
Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support (2021) (4)
An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study (2021) (3)
Sensitive tumour detection and classification using plasma cell-free DNA methylomes (2018) (3)
Reducing Adversarial Example Transferability Using Gradient Regularization (2019) (3)
KuLGaP: A Selective Measure for Assessing Therapy Response in Patient-Derived Xenografts (2020) (3)
Framework for using grocery data for early detection of bio-terrorism attacksa (3)
Assessing therapy response in patient-derived xenografts (2021) (3)
Integrative pharmacogenomics to infer large-scale drug taxonomy (2016) (3)
Large scale genotype‐ and phenotype‐driven machine learning in Von Hippel‐Lindau disease (2022) (3)
Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment. (2022) (3)
A Generative Model for Dynamic Contextual Friendship Networks (2005) (3)
Considerations for Visualizing Uncertainty in Clinical Machine Learning Models (2022) (2)
The False Positive Control Lasso (2019) (2)
Decoupling Local and Global Representations of Time Series (2022) (2)
Postnatal developmental trajectory of sex-biased gene expression in the mouse pituitary gland (2022) (2)
The silent trial - the bridge between bench-to-bedside clinical AI applications (2022) (2)
Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds (2020) (2)
Empirical Bayes Screening for Link Analysis (2003) (2)
Finding associations in a heterogeneous setting: statistical test for aberration enrichment (2020) (2)
Error Amplification When Updating Deployed Machine Learning Models (2022) (2)
How to validate Machine Learning Models Prior to Deployment: Silent trial protocol for evaluation of real-time models at ICU (2022) (2)
Using Cell line and Patient samples to improve Drug Response Prediction (2015) (1)
Using cell line and patient samples to improve predictions of patient drug response (2015) (1)
Consistency in drug response profiling Reply (2016) (1)
Dataset: Assessment of pharmacogenomic agreement (2016) (1)
Challenges of Differentially Private Prediction in Healthcare Settings (2020) (1)
Regulating the Safety of Health-Related Artificial Intelligence (2022) (1)
Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI models (2023) (1)
Prediction of New Onset Diabetes after Liver Transplant (2018) (1)
Machine learning classification of multiple sclerosis in children using optical coherence tomography (2022) (1)
Safikhani et al. reply (2016) (1)
2009 Reviewer's List (2010) (0)
Age Time Invariant Features Forecasting Model Time Variant Features ( t = 3 ) (2019) (0)
Effective Detection of Compensated Cirrhosis Using Machine Learning (2020) (0)
Proposal for a scalable class of graphical models for Social Networks (2004) (0)
Abstract 3528:PTCH53as a potential secondary modifier in Li-Fraumeni syndrome (2017) (0)
Su1590: EMPLOYING DEEP LEARNING APPROACHES TO AUTOMATE EOSINOPHILIC CELL COUNTING IN PEDIATRIC UC (2022) (0)
Multiple Germline Events Contribute to Cancer Development in Patients with Li-Fraumeni Syndrome (2023) (0)
Scalable Detection and Optimization of N-ARY Linkages (2006) (0)
Combining exome and gene expression datasets in one graphical model of disease to empower the discovery of disease mechanisms (2015) (0)
Barriers and opportunities to improve renal outcomes in South Africa using AI technology for pediatric ultrasound interpretation (2022) (0)
Abstract 1428: DNA methylation predicts early onset of primary tumor in patients with Li-Fraumeni syndrome (2022) (0)
The promises and challenges of clinical AI in community paediatric medicine (2023) (0)
FRI-385-Use of machine learning algorithms to predict HCC recurrence after liver transplantation: A proof of concept (2019) (0)
Effective Assessment of Pediatric Antenatal Hydronephrosis Patients Using a Clinical Deep Learning Algorithm (2021) (0)
Extracting Clinician's Goals by What-if Interpretable Modeling (2021) (0)
Building A Research Partnership Between Computer Scientists and Health Service Researchers for Access and Analysis of Population-Level Health Datasets (2020) (0)
An integration engineering framework for machine learning in healthcare (2022) (0)
iReckon : Supplementary Material (2012) (0)
Diagnostic accuracy of imaging approaches for early tumor detection in children with Li-Fraumeni syndrome (2022) (0)
Achieving Clinical Automation in Emergency Medicine with Machine Learning Medical Directives (2021) (0)
From single-visit to multi-visit image-based models: single-visit models are enough to predict obstructive hydronephrosis (2022) (0)
25. Large scale analysis in Von Hippel-Lindau disease (2022) (0)
MB-104GENETIC PREDICTORS OF INTELLECTUAL OUTCOME IN CHILDREN TREATED FOR MEDULLOBLASTOMA (2016) (0)
MP44-18 ACCURATE ESTIMATE OF SPLIT DIFFERENTIAL RENAL FUNCTION USING ULTRASOUND ALONE FOR INFANTS WITH HYDRONEPHROSIS (2021) (0)
An alternative to the ‘light touch’ digital health remote study: The Stress and Recovery in Frontline COVID-19 Healthcare Workers Study (Preprint) (2021) (0)
Consistency in large pharmacogenomic studies Reply (2016) (0)
Abstract IA02: Novel strategies for early cancer detection and prevention: The Li-Fraumeni syndrome story (2020) (0)
Finding associations in a heterogeneous setting: statistical test for aberration enrichment (2021) (0)
Artificial neural network approach to data analysis and parameter estimation in experimental spectroscopy (2001) (0)
Learning Unsupervised Representations for ICU Timeseries (2022) (0)
Mb-87Integrated Genomics Reveals Novel Subtypes Of Medulloblastoma Subgroups (2016) (0)
O43. Novel Brain-Behaviour Similarity Subgroups Across Neurodevelopmental Disorders (2019) (0)
Erratum: Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis (2016) (0)
Using cell lines and patient samples to improve the drug response prediction of patients (2015) (0)
Abstract 1639: Predictive modeling of cancer-type in Li-Fraumeni syndrome (2019) (0)
Differential Expression Enrichment Tool (DEET): an interactive atlas of human differential gene expression (2022) (0)
Assessment of pharmacogenomic agreement Please share how this access benefits you. Your story matters (2016) (0)
Modeling trajectories of mental health: challenges and opportunities (2016) (0)
Proceedings of the 2006 conference on Statistical network analysis (2006) (0)
Extracting Expert's Goals by What-if Interpretable Modeling (2021) (0)
Abstract 3409: Age of cancer onset differentiated by sex and TP53 codon change in Li-Fraumeni Syndrome patient population (2017) (0)
Abstract 3378: Systematic pharmacogenomic analysis of large patient derived xenografts data (2019) (0)
Abstract 973: Methylation accurately predicts age of cancer onset in patients with Li Fraumeni Syndrome (2017) (0)
The Ontario Data Safe Haven: Bringing High Performance Computing to Population-wide Data Assets (2018) (0)
Time-Varying Correlation Networks for Interpretable Change Point Detection (2022) (0)
Statistical and Physical Models for Social Networks and Their Evolution (2004) (0)
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI (2021) (0)
Method iReckon : Simultaneous isoform discovery and abundance estimation from RNA-seq data (2013) (0)
Machine learning COVID-19 detection from wearables (2023) (0)
Single Cell Mapper [R package scMappR version 0.1.4] (2020) (0)
Assessment of pharmacogenomic agreement [version 1; peer review: 3 approved] (2022) (0)

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Other Resources About Anna Goldenberg

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What Schools Are Affiliated With Anna Goldenberg?

Anna Goldenberg is affiliated with the following schools: