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- 2024
-
Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
2024) Swedish Emergency Medicine Talks - SWEETS24(
- Contribution to conference › Poster
-
Mark
The skåne emergency medicine (SEM) cohort
(
- Contribution to journal › Article
- 2023
-
Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
2023) Swedish Emergency Medicine Talks - SWEETS23(
- Contribution to conference › Poster
-
Mark
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
2023) European Emergency Medicine Congress 2023(
- Contribution to conference › Poster
-
Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
- 2021
-
Mark
Mapping archeological signs from airborne lidar data using deep neural networks : Primary results
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
- 2020
-
Mark
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
(
- Contribution to journal › Article
- 2008
-
Mark
Pre-hospital prediction of transmural myocardial infarction and the need of acute coronary reperfusion by an artificial neural network compared to real-time prediction by a cardiac care unit physician
2008) National Meeting in Emergency Medicine, 2008(
- Contribution to conference › Poster
- 2002
-
Mark
Value of exercise data for the interpretation of myocardial perfusion SPECT
(
- Contribution to journal › Article