Anna Goldenberg

Anna Goldenberg

University of Toronto

H-index: 40

North America-Canada

About Anna Goldenberg

Anna Goldenberg, With an exceptional h-index of 40 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of machine learning, computational biology, network modeling, disease heterogeneity, data integration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Genomic and clinical characterization of a familial GIST kindred intolerant to imatinib

Improving Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios

Measurement Scheduling for ICU Patients with Offline Reinforcement Learning

Learning from Time Series under Temporal Label Noise

Integrate Any Omics: Towards genome-wide data integration for patient stratification

Early Cancer Detection in Li–Fraumeni Syndrome with Cell-Free DNA

Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning

Does anyone fit the average? Describing the heterogeneity of pregnancy symptoms using wearables and mobile apps

Anna Goldenberg Information

University

Position

Scientist SickKids Research Institute; Assistant Professor Department of Computer Science

Citations(all)

12441

Citations(since 2020)

10142

Cited By

5740

hIndex(all)

40

hIndex(since 2020)

35

i10Index(all)

88

i10Index(since 2020)

78

Email

University Profile Page

Google Scholar

Anna Goldenberg Skills & Research Interests

machine learning

computational biology

network modeling

disease heterogeneity

data integration

Top articles of Anna Goldenberg

Genomic and clinical characterization of a familial GIST kindred intolerant to imatinib

NPJ Genomic Medicine

2024/3/27

Improving Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios

2024/2/13

Measurement Scheduling for ICU Patients with Offline Reinforcement Learning

arXiv preprint arXiv:2402.07344

2024/2/12

Anna Goldenberg
Anna Goldenberg

H-Index: 25

Learning from Time Series under Temporal Label Noise

arXiv preprint arXiv:2402.04398

2024/2/6

Integrate Any Omics: Towards genome-wide data integration for patient stratification

arXiv preprint arXiv:2401.07937

2024/1/15

Early Cancer Detection in Li–Fraumeni Syndrome with Cell-Free DNA

Cancer Discovery

2024/1/12

Early prediction of pediatric asthma in the Canadian Healthy Infant Longitudinal Development (CHILD) birth cohort using machine learning

Pediatric Research

2024/1/11

Does anyone fit the average? Describing the heterogeneity of pregnancy symptoms using wearables and mobile apps

medRxiv

2024

Moment-alignment domain adaptation in the few-shot and low-resource context

2023/11/15

Systemic lupus erythematosus phenotypes formed from machine learning with a specific focus on cognitive impairment

Rheumatology

2023/11/1

Learning with Temporal Label Noise

2023/10/13

Artificial intelligence model development and validation

2023/9/2

The promises and challenges of clinical AI in community paediatric medicine

Paediatrics & Child Health

2023/7/1

RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings

EuroVis 2023-Short Papers

2023/6/14

What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB

2023/6/12

Maintaining Stability and Plasticity for Predictive Churn Reduction

arXiv preprint arXiv:2305.04135

2023/5/6

Benjamin Haibe-Kains
Benjamin Haibe-Kains

H-Index: 57

Anna Goldenberg
Anna Goldenberg

H-Index: 25

Multiple germline events contribute to cancer development in patients with Li-Fraumeni syndrome

Cancer research communications

2023/5/1

Machine learning COVID-19 detection from wearables

The Lancet Digital Health

2023/4/1

Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI models

medRxiv

2023/3/29

From single-visit to multi-visit image-based models: single-visit models are enough to predict obstructive hydronephrosis

2023/3/6

See List of Professors in Anna Goldenberg University(University of Toronto)

Co-Authors

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