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- 2024
-
Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
(
- Contribution to journal › Article
- 2023
-
Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
(
- Contribution to journal › Article
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Mark
A novel approach for brake emission estimation based on traffic microsimulation, vehicle system dynamics, and machine learning modeling
(
- Contribution to journal › Article
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Mark
Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
(
- Contribution to journal › Article
- 2022
-
Mark
Application of artificial neural network to forecast engine performance and emissions of a spark ignition engine
(
- Contribution to journal › Article
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Mark
The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer
(
- Contribution to journal › Article
-
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
- 2021
-
Mark
Predictive modeling and severity scoring after cardiac arrest in patients treated with targeted temperature management
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2020
-
Mark
Contactless real-time heartbeat detection via 24 ghz continuous-wave doppler radar using artificial neural networks
(
- Contribution to journal › Article
-
Mark
Integration of machine learning with phase field method to model the electromigration induced Cu6Sn5 IMC growth at anode side Cu/Sn interface
(
- Contribution to journal › Article
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Mark
On neural network modeling to maximize the power output of PEMFCs
(
- Contribution to journal › Article
- 2018
-
Mark
Passive design optimization of newly-built residential buildings in Shanghai for improving indoor thermal comfort while reducing building energy demand
(
- Contribution to journal › Article
-
Mark
Predictors of Lymph Node Metastasis in Primary Breast Cancer - Risk Models for Tailored Axillary Management
2018)(
- Thesis › Doctoral thesis (compilation)
- 2017
-
Mark
Prehospital Diagnosis and Oxygen Treatment in ST Elevation Myocardial Infarction
2017) In Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
- 2013
-
Mark
Semen Parameters Can Be Predicted from Environmental Factors and Lifestyle Using Artificial Intelligence Methods
(
- Contribution to journal › Article
- 2012
-
Mark
Predicting seminal quality with artificial intelligence methods
(
- Contribution to journal › Article
-
Mark
Developing a module for estimating climate warming effects on hydropower pricing in California
(
- Contribution to journal › Article
- 2011
-
Mark
Evolution of Prey Polymorphism Induced by Learning Predators
(
- Contribution to journal › Article
- 2010
-
Mark
Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant
2010) 21st International Conference on Efficiency, Cost, Optimization , Simulation and Environmental Impact of Energy Systems 35(2). p.1114-1120(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding