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- 2023
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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
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Mark
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning : External Validation and Further Model Development
(
- Contribution to journal › Article
-
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
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
(
- Contribution to journal › Article
-
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
- 2022
-
Mark
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
(
- Contribution to journal › Scientific review
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Mark
Deterministic annealing with Potts neurons for multi-robot routing
(
- Contribution to journal › Article
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Mark
Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness
2022) Swedish Emergency Medicine Talks 2022(
- Contribution to conference › Poster
-
Mark
Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation
2022) Swedish Emergency Medicine Talks 2022(
- Contribution to conference › Poster
-
Mark
The NILS Study Protocol : A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)
(
- Contribution to journal › Article