Eleni Litsa - Concepedia

Author

Eleni Litsa

Rice University ORCID

Also Known As

E. Litsa, Eleni E. Litsa, Eleni Litsa

Publications

522

Citations

H-Index

Concepts

All Affiliations

Rice University IBM Research - Thomas J. Watson Research Center National Technical University of Athens

About

Eleni Litsa is an author at Rice University specializing in machine learning, engineering, and computational biology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	144
2	Health Sciences	2	2	135
3	Natural Sciences	2	2	21
4	Medicine	1	1	109
5	Public Health	1	1	26

Eleni Litsa

Publications

381

Citations

H-Index

Page 1

	Year	Citations
Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring Konstantia Zarkogianni, Konstantinos Mitsis, Eleni Litsa, Medical & Biological Engineering & Computing ObesityMetabolic SyndromeType 1Physical ActivityBody Composition	2015	109
Machine Learning-Guided Three-Dimensional Printing of Tissue Engineering Scaffolds Anja Conev, Eleni Litsa, Marissa R. Perez, Tissue Engineering Part A Tissue EngineeringEngineeringMachine LearningMachine Learning ToolBiofabrication	2020	108
Prediction of drug metabolites using neural machine translation Eleni Litsa, Payel Das, Lydia E. Kavraki Chemical Science	2020	53
An end-to-end deep learning framework for translating mass spectra to de-novo molecules Eleni Litsa, Vijil Chenthamarakshan, Payel Das, Communications Chemistry	2023	49
Personalized glucose-insulin metabolism model based on self-organizing maps for patients with Type 1 Diabetes Mellitus Konstantia Zarkogianni, Eleni Litsa, Andriani Vazeou, Glucose-insulin Metabolism ModelSc Insulin KineticsArtificial PancreasObesityMetabolic Syndrome	2013	26
Machine Learning Guided Atom Mapping of Metabolic Reactions Eleni Litsa, Matthew I. Peña, Mark Moll, Journal of Chemical Information and Modeling Bond StabilitiesEngineeringMachine LearningComputational ChemistryChemistry	2018	15
Spec2Mol: An end-to-end deep learning framework for translating MS/MS Spectra to de-novo molecules Eleni Litsa, Vijil Chenthamarakshan, Payel Das, EngineeringMachine LearningDe-novo MoleculesAutoencodersMolecular Biology	2021	11
Spec2Mol: An end-to-end deep learning framework for translating MS/MS Spectra to de-novo molecules Eleni Litsa, Vijil Chenthamarakshan, Payel Das, EngineeringMachine LearningDe-novo MoleculesAutoencodersMolecular Biology	2021	10

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