Michal Rosen-Zvi

Orcid: 0000-0001-7616-9724

Affiliations:
  • Thomas J. Watson Research Center, Yorktown Heights, USA


According to our database1, Michal Rosen-Zvi authored at least 32 papers between 2004 and 2023.

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Bibliography

2023
A historical perspective of biomedical explainable AI research.
Patterns, September, 2023

2022
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment.
Proceedings of the AMIA 2022, 2022

2021
On the role of artificial intelligence in medical imaging of COVID-19.
Patterns, 2021

Lessons from the first DBTex Challenge.
Nat. Mach. Intell., 2021

Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next.
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Towards effect estimation of COVID-19 Non-pharmaceutical Interventions.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19.
CoRR, 2020

The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Novel Uncertainty Framework for Deep Learning Ensembles.
CoRR, 2019

2017
Boosting conditional probability estimators.
Ann. Math. Artif. Intell., 2017

2015
Probabilistic Graphical Models of Dyslexia.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression.
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Integrated Multisystem Analysis in a Mental Health and Criminal Justice Ecosystem.
Proceedings of the AMIA 2014, 2014

2012
History-alignment models for bias-aware prediction of virological response to HIV combination therapy.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011
Information technology for healthcare transformation.
IBM J. Res. Dev., 2011

Smarter log analysis.
IBM J. Res. Dev., 2011

Toward personalized care management of patients at risk: the diabetes case study.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010
Learning author-topic models from text corpora.
ACM Trans. Inf. Syst., 2010

2009
HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods.
Proceedings of the Similarity-Based Clustering, 2009

2008
Latent Topic Models for Hypertext.
Proceedings of the UAI 2008, 2008

Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007
Hidden Topic Markov Models.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2005
On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks.
Neural Networks, 2005

The DLR Hierarchy of Approximate Inference.
Proceedings of the UAI '05, 2005

2004
The Author-Topic Model for Authors and Documents.
Proceedings of the UAI '04, 2004

Exponential Family Harmoniums with an Application to Information Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Probabilistic author-topic models for information discovery.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Approximate inference by Markov chains on union spaces.
Proceedings of the Machine Learning, 2004


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