Michal Rosen-Zvi
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Israeli artificial intelligence academic
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Artificial Intelligence
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Computer Science
Why Is Michal Rosen-Zvi Influential?
(Suggest an Edit or Addition)According to Wikipedia, Michal Rosen-Zvi is an Israeli academic and researcher in the fields of artificial intelligence and deep learning and their applications to healthcare. She is research director for Healthcare Informatics at IBM Research in Haifa.
Michal Rosen-Zvi's Published Works
Published Works
- The Author-Topic Model for Authors and Documents (2004) (1660)
- Probabilistic author-topic models for information discovery (2004) (666)
- Exponential Family Harmoniums with an Application to Information Retrieval (2004) (513)
- Learning author-topic models from text corpora (2010) (331)
- Hidden Topic Markov Models (2007) (301)
- Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models (2010) (108)
- Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms. (2019) (82)
- Selecting anti-HIV therapies based on a variety of genomic and clinical factors (2008) (73)
- Latent Topic Models for Hypertext (2008) (66)
- Comparison of Classifier Fusion Methods for Predicting Response to Anti HIV-1 Therapy (2008) (65)
- Toward personalized care management of patients at risk: the diabetes case study (2011) (58)
- Mutual learning in a tree parity machine and its application to cryptography. (2002) (57)
- Investigation of expert rule bases, logistic regression, and non-linear machine learning techniques for predicting response to antiretroviral treatment (2008) (55)
- Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project (2012) (49)
- Cryptography based on neural networks—analytical results (2002) (48)
- Prediction of response to antiretroviral therapy by human experts and by the EuResist data‐driven expert system (the EVE study) (2010) (48)
- Changing the approach to treatment choice in epilepsy using big data (2016) (45)
- On the role of artificial intelligence in medical imaging of COVID-19 (2020) (31)
- On the relationship between deterministic and probabilistic directed Graphical models: From Bayesian networks to recursive neural networks (2005) (22)
- AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 (2021) (20)
- Health-care improvements in a financially constrained environment (2016) (19)
- Quantification of tumor heterogeneity: from data acquisition to metric generation. (2021) (15)
- Information technology for healthcare transformation (2011) (15)
- Correction: Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models (2011) (14)
- Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. (2022) (14)
- Learnability of periodic activation functions: General results (1998) (13)
- The DLR Hierarchy of Approximate Inference (2005) (12)
- Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data (2021) (12)
- Training a perceptron in a discrete weight space. (2001) (11)
- History-alignment models for bias-aware prediction of virological response to HIV combination therapy (2012) (9)
- Smarter log analysis (2011) (9)
- Probabilistic Graphical Models of Dyslexia (2015) (9)
- Efficacy of Antiretroviral Therapy Switch in HIV-Infected Patients: A 10-Year Analysis of the EuResist Cohort (2012) (8)
- Time series prediction by feedforward neural networks—is it difficult? (2003) (8)
- WNTRAC: AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. (2020) (8)
- Correction to: The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net (2020) (6)
- Integrated multisystem analysis in a mental health and criminal justice ecosystem (2014) (6)
- Multilayer neural networks with extensively many hidden units. (2001) (6)
- On-line learning in the Ising perceptron (2000) (5)
- Lessons from the first DBTex Challenge (2021) (5)
- Multimodal Prediction of Five-Year Breast Cancer Recurrence in Women Who Receive Neoadjuvant Chemotherapy (2022) (5)
- WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19 (2020) (4)
- 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 (2021) (2)
- On the role of artificial intelligence in medical imaging of COVID-19 (2021) (2)
- A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic (2022) (2)
- Evaluation of Combined Artificial Intelligence and Neurologist Assessment to Annotate Scalp Electroencephalography Data (2020) (2)
- Novel Uncertainty Framework for Deep Learning Ensembles (2019) (2)
- Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms (2021) (1)
- Generalization and capacity of extensively large two-layered perceptrons. (2002) (1)
- Estimating the Impact of Prevention Action: A simulation Model of Cervical Cancer Progression (2014) (1)
- Models for Hypertext : How Many Words is a Single Link Worth ? (2008) (1)
- Virtual Biopsy by Using Artificial Intelligence-based Multimodal Modeling of Binational Mammography Data. (2022) (1)
- Trends in clinical characteristics and associations of severe non-respiratory events related to SARS-CoV-2 (2021) (1)
- Boosting conditional probability estimators (2017) (1)
- HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods (2009) (1)
- The EuResist Approach for Predicting Response to Anti HIV-1 Therapy (2008) (1)
- Frequency-Domain Photon Migration in Two-Layered Tissues (1996) (1)
- The EuResist expert model for customised HAART optimisation: 2010 update and extension to newest compounds (2010) (1)
- Integrated multisystem analysis in a mental health and criminal justice ecosystem (2017) (0)
- Towards effect estimation of COVID-19 Non-pharmaceutical Interventions (2021) (0)
- How the COVID-19 Pandemic Accelerated AI Technology Development and Adoption in Healthcare: Lessons Learned (2021) (0)
- Editorial: Explainable multimodal AI in cancer patient care: how can we reduce the gap between technology and practice? (2023) (0)
- The Impact of COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams: An Observational Study in a Nationwide Israeli Health Organization. (2022) (0)
- The HiGrid Vision - A Tightrope Walk (2010) (0)
- Lessons Learned from the Development and Application of Medical Imaging-Based AI Technologies for Combating COVID-19: Why Discuss, What Next (2021) (0)
- Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment (2022) (0)
- Proceedings of the First International Workshop on Data Mining for Service and Maintenance (2011) (0)
- Impact of the COVID-19 Pandemic on Clinical Findings in Medical Imaging Exams in a Nationwide Israeli Health Organization: Observational Study (2023) (0)
- Sustaining Lamivudine/Emtricitabine, Abacavir, Zidovudine or Atazanavir from a Previous Treatment Shows a Clinical Benefit (2008) (0)
- Boosting conditional probability estimators (2015) (0)
- Approximate inference by Markov chains on union spaces (2004) (0)
- Prediction of Five-Year Breast Cancer Recurrence in Women Treated with Neoadjuvant Chemotherapy (2021) (0)
- A commentary on “Emulated Clinical Trials from Longitudinal Real World Data Efficiently Identify Candidates for Neurological Disease Modification: Examples from Parkinson’s disease” and its Relevance to COVID-19 challenges (2021) (0)
- AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 (2021) (0)
- Title: On the Role of Artificial Intelligence in Medical Imaging of COVID-19 Running Title: On the Role of AI in Medical Imaging of COVID-19 (2020) (0)
- Improved Prediction of HIV Resistance In-Vitro by Biochemically-Driven Models (0)
- 0 Se p 20 02 Mutual learning in a tree parity ma hine and its appli ation to ryptography (2020) (0)
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What Schools Are Affiliated With Michal Rosen-Zvi?
Michal Rosen-Zvi is affiliated with the following schools: