Lars Vedel Kessing

Orcid: 0000-0001-9377-9436

According to our database1, Lars Vedel Kessing authored at least 16 papers between 2009 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms.
ACM Trans. Comput. Heal., 2021

2020
Wearable Computing Technology for Assessment of Cognitive Functioning of Bipolar Patients and Healthy Controls.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

MUBS: A Personalized Recommender System for Behavioral Activation in Mental Health.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Personalizing Mental Health: A Feasibility Study of a Mobile Behavioral Activation Tool for Depressed Patients.
Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2019

2018
Personalized versus Generic Mood Prediction Models in Bipolar Disorder.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Design and Implementation of a Web-based Application to Assess Cognitive Impairment in Affective Disorder.
Proceedings of the 2018 International Conference on Digital Health, 2018

2017
Designing for hourly activity sampling in behavioral activation.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017

Supporting smartphone-based behavioral activation: a simulation study.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016
The Center for Integrated Molecular Brain Imaging (Cimbi) database.
NeuroImage, 2016

Designing context-aware cognitive behavioral therapy for unipolar and bipolar disorders.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
Impact factor analysis: combining prediction with parameter ranking to reveal the impact of behavior on health outcome.
Pers. Ubiquitous Comput., 2015

2014
Tell me your apps and I will tell you your mood: correlation of apps usage with bipolar disorder state.
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments, 2014

2013
Personal health systems for bipolar disorder Anecdotes, challenges and lessons learnt from MONARCA project.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

Supporting disease insight through data analysis: refinements of the monarca self-assessment system.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Designing mobile health technology for bipolar disorder: a field trial of the monarca system.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2009
High familial risk for mood disorder is associated with low dorsolateral prefrontal cortex serotonin transporter binding.
NeuroImage, 2009


  Loading...