Konstantina S. Nikita

Sex in CKD trials: representation and treatment effects of cardiorenoprotective therapies.

Journal: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association

Published: August 31, 2026

Source-Free Active Learning for Adapting Alzheimer's Diagnostic Deep Learning Models Across Neuroimaging Cohorts.

Journal: ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics

Published: July 03, 2026

Development of autoencoder-guided attention-LSTM models for predicting nocturnal hypoglycemia risk in Type 1 Diabetes.

Journal: IEEE transactions on bio-medical engineering

Published: June 01, 2026

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Interpretable Graph Convolutional Networks for cardiovascular disease risk prediction in patients with Type 2 Diabetes Mellitus.

Journal: Journal of biomedical informatics

Published: September 23, 2025

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals.

Journal: Nature communications

Published: April 21, 2025

Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: March 05, 2025

A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis.

Journal: Scientific reports

Published: November 18, 2024

A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.

Journal: Journal of medical Internet research

Published: September 27, 2024

Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic.

Journal: Children (Basel, Switzerland)

Published: December 08, 2023

Sex in CKD trials: representation and treatment effects of cardiorenoprotective therapies.

Sex in CKD trials: representation and treatment effects of cardiorenoprotective therapies.

Source-Free Active Learning for Adapting Alzheimer's Diagnostic Deep Learning Models Across Neuroimaging Cohorts.

Source-Free Active Learning for Adapting Alzheimer's Diagnostic Deep Learning Models Across Neuroimaging Cohorts.

Development of autoencoder-guided attention-LSTM models for predicting nocturnal hypoglycemia risk in Type 1 Diabetes.

Development of autoencoder-guided attention-LSTM models for predicting nocturnal hypoglycemia risk in Type 1 Diabetes.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images.

Comparative assessment of fairness definitions and bias mitigation strategies in machine learning-based diagnosis of Alzheimer's disease from MR images.

Interpretable Graph Convolutional Networks for cardiovascular disease risk prediction in patients with Type 2 Diabetes Mellitus.

Interpretable Graph Convolutional Networks for cardiovascular disease risk prediction in patients with Type 2 Diabetes Mellitus.

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals.

Coupled cross-sectional and longitudinal non-negative matrix factorization reveals dominant brain aging trajectories in 48,949 individuals.

Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes.

Development of personalized interpretable multilevel prediction models for the risk assessment of hypoglycemia in Type 1 Diabetes.

A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis.

A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer's disease diagnosis.

A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.

A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation.

Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals.

Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals.

Spiking Laguerre Volterra networks-predicting neuronal activity from local field potentials.

Spiking Laguerre Volterra networks-predicting neuronal activity from local field potentials.

Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic.

Parenting Styles and Psychosocial Factors of Mother-Child Dyads Participating in the ENDORSE Digital Weight Management Program for Children and Adolescents during the COVID-19 Pandemic.