Aggelos K Katsaggelos (A K Katsaggelos)

ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Venues

JMIR public health and surveillance

Sensors (Basel, Switzerland)

JMIR formative research

JMIR medical informatics

Northwestern University

Georgia Institute of Technology (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Northwestern University Sep 01 1985

United States

Professor :: EECS

Education History

Georgia Institute of Technology Sep 01 1981 - Aug 31 1985

United States

PHD :: EE

Georgia Institute of Technology Jan 05 1980 - Aug 31 1981

United States

MSC :: EE

Publications

Nicole L Vike, Sumra Bari, Leandros Stefanopoulos, Shamal Lalvani, Byoung Woo Kim, Nikolaos Maglaveras, Martin Block, Hans C Breiter, Aggelos K Katsaggelos
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. JMIR public health and surveillance 10 (2024)
Nicole L Vike, Sumra Bari, Leandros Stefanopoulos, Shamal Lalvani, Byoung Woo Kim, Nikolaos Maglaveras, Martin Block, Hans C Breiter, Aggelos K Katsaggelos
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. JMIR public health and surveillance 10 (2024)
Nicole L Vike, Sumra Bari, Leandros Stefanopoulos, Shamal Lalvani, Byoung Woo Kim, Nikolaos Maglaveras, Martin Block, Hans C Breiter, Aggelos K Katsaggelos
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. JMIR public health and surveillance 10 (2024)
Nicole L Vike, Sumra Bari, Leandros Stefanopoulos, Shamal Lalvani, Byoung Woo Kim, Nikolaos Maglaveras, Martin Block, Hans C Breiter, Aggelos K Katsaggelos
Predicting COVID-19 Vaccination Uptake Using a Small and Interpretable Set of Judgment and Demographic Variables: Cross-Sectional Cognitive Science Study. JMIR public health and surveillance 10 (2024)
Hasan Asy'ari Arief, Peter James Thomas, Kevin Constable, Aggelos K Katsaggelos
Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning. Sensors (Basel, Switzerland) 22 (24) (2022)
Hasan Asy'ari Arief, Peter James Thomas, Kevin Constable, Aggelos K Katsaggelos
Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning. Sensors (Basel, Switzerland) 22 (24) (2022)
Georgios Petmezas, Leandros Stefanopoulos, Vasileios Kilintzis, Andreas Tzaveils, John A Rogers, Aggelos K Katsaggelos, Nikolaos Maglaveras
State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review. JMIR medical informatics 10 (8) (2022)
Sumra Bari, Nicole L Vike, Khrystyna Stetsiv, Sean F Woodward, Shamal Lalvani, Leandros Stefanopoulos, Byoung Woo Kim, Nikolaos Maglaveras, Hans C Breiter, Aggelos K Katsaggelos
The Prevalence of Psychotic Symptoms, Violent Ideation, and Disruptive Behavior in a Population With SARS-CoV-2 Infection: Preliminary Study. JMIR formative research 6 (8) (2022)
Sean F Woodward, Sumra Bari, Nicole L Vike, Shamal Lalvani, Khrystyna Stetsiv, Byoung Woo Kim, Leandros Stefanopoulos, Nikolaos Maglaveras, Hans C Breiter, Aggelos K Katsaggelos
Anxiety, Post-COVID-19 Syndrome-Related Depression, and Suicidal Thoughts and Behaviors in COVID-19 Survivors: Cross-sectional Study. JMIR formative research 6 (10) (2022)
Michael Iorga, Michael Drakopoulos, Andrew M Naidech, Aggelos K Katsaggelos, Todd B Parrish, Virginia B Hill
Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing. AJNR. American journal of neuroradiology 43 (5) (2022)
Hasan Asy'ari Arief, Peter James Thomas, Kevin Constable, Aggelos K Katsaggelos
Towards Building a Distributed Virtual Flow Meter via Compressed Continual Learning. Sensors (Basel, Switzerland) 22 (24) (2022)
Emanuel Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, Todd B Parrish, S Kathleen Bandt, Aggelos K Katsaggelos, null null
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings 12474 (2020)
Ramsey M Wehbe, Jiayue Sheng, Shinjan Dutta, Siyuan Chai, Amil Dravid, Semih Barutcu, Yunan Wu, Donald R Cantrell, Nicholas Xiao, Bradley D Allen, Gregory A MacNealy, Hatice Savas, Rishi Agrawal, Nishant Parekh, Aggelos K Katsaggelos
DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set. Radiology 299 (1) (2020)

Aggelos K Katsaggelos.css-eqlu8i{font-size:small;padding-left:4px;} (A K Katsaggelos)

Publication Activity (10 Years)

Top Topics

Top Venues

Aggelos K Katsaggelos (A K Katsaggelos)