Personal profile
Short presentation
I aim to utilize big data to identify novel associations within the cardiometabolic area using one of two methods:
1) Epidemiology using large Danish registers or population studies.
2) Deep learning models for powerful ECG analysis with explainble AI.
Teaching
I welcome students at all levels to express their interest. I undertake teaching at the BSc, MSc, and PhD levels.
Education/Academic qualification
Master of Science in Biomedical Engineering
Keywords
- Faculty of Health and Medical Sciences
- Machine Learning
- Electrocardiology
- ECG
- Epidemiology
Collaborations and top research areas from the last five years
Research output
-
Explaining deep neural networks for knowledge discovery in electrocardiogram analysis
Hicks, S. A., Isaksen, J. L., Thambawita, V., Ghouse, J., Ahlberg, G., Linneberg, A., Grarup, N., Strümke, I., Ellervik, C., Olesen, M. S., Hansen, T., Graff, C., Holstein-Rathlou, N.-H., Halvorsen, P., Maleckar, M. M., Riegler, M. A. & Kanters, J. K., 2021, In: Scientific Reports. 11, 1, 11 p., 10949.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile69 Citations (Scopus)181 Downloads (Pure) -
DeepFake electrocardiograms: the key for open science for artificial intelligence in medicine
Thambawita, V., Isaksen, J. L., Hicks, S. A., Ghouse, J., Ahlberg, G., Linneberg, A., Grarup, N., Ellervik, C., Olesen, M. S., Hansen, T., Graff, C., Holstein-Rathlou, N.-H., Strümke, I., Hammer, H. L., Maleckar, M., Halvorsen, P., Riegler, M. A. & Kanters, J. K., 2022, 17 p. (medRxiv).Research output: Working paper › Preprint
File175 Downloads (Pure) -
Artificial intelligence for the detection, prediction, and management of atrial fibrillation
Isaksen, J. L., Baumert, M., Hermans, A. N. L., Maleckar, M. & Linz, D., 2022, In: Herzschrittmachertherapie und Elektrophysiologie. 33, p. 34–41Research output: Contribution to journal › Review › peer-review
Open AccessFile33 Citations (Scopus)106 Downloads (Pure) -
Electrocardiographic T-wave morphology and risk of mortality
Isaksen, J. L., Ghouse, J., Graff, C., Olesen, M. S., Holst, A. G., Pietersen, A., Nielsen, J. B., Skov, M. W. & Kanters, J. K., 2021, In: International Journal of Cardiology. 328, p. 199-205Research output: Contribution to journal › Journal article › Research › peer-review
22 Citations (Scopus) -
Cardiac repolarization and depolarization in people with Type 1 diabetes with normal ejection fraction and without known heart disease: a case-control study
Isaksen, J. L., Graff, C., Ellervik, C., Jensen, J. S., Rossing, P., Kanters, J. K. & Jensen, M. T., 2018, In: Diabetic Medicine. 35, 10, p. 1337-1344 8 p.Research output: Contribution to journal › Journal article › Research › peer-review
16 Citations (Scopus) -
Health-related quality of life of children with strabismus
Boulakh, L., Isaksen, J. L., Ellervik, C., Kanters, J. K., Hesgaard, H. B. & Sandfeldt, L., 2026, In: Acta Ophthalmologica. 104, 1, p. 82-88Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile5 Downloads (Pure) -
Pooling cohorts for deep learning analysis: a potential source of bias for electrocardiogram analysis
Mørch-Pedersen, M., Nørregaard, M., Graff, C., Vad, O. B., Lundegaard, P. R., Svendsen, J. H., Hansen, T., Linneberg, A., Jørgensen, P. G., Jensen, M. T., Rossing, P., Ellervik, C., Linz, D., Thambawita, V., Maleckar, M. M., Riegler, M. A., Kanters, J. K. & Isaksen, J. L., 2026, In: Biomedical Signal Processing and Control. 122, 7 p., 110424.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure) -
Clinically useful evaluation of reconstruction techniques and use of Einthoven's Law
Isaksen, J. L., Linz, D. & Kanters, J. K., 2025, In: Journal of Electrocardiology. 92, 2 p., 154090.Research output: Contribution to journal › Letter
Prizes
-
EliteForsk Rejsestipendium
Isaksen, J. L. (Recipient), 23 Aug 2021
Prize: Prizes, scholarships, distinctions