Mattias Ohlsson
Orcid: 0000-0003-1145-4297
According to our database1,
Mattias Ohlsson
authored at least 39 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on thep.lu.se
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Bibliography
2024
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis.
CoRR, 2024
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models.
Artif. Intell. Medicine, 2024
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024
Proceedings of the Computational Science - ICCS 2024, 2024
Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation.
BMC Medical Informatics Decis. Mak., December, 2023
J. Biomed. Informatics, August, 2023
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2022
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain.
Patterns, 2022
Intell. Serv. Robotics, 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain.
CoRR, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
2020
Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation.
Int. J. Medical Informatics, 2020
2019
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems.
Neurocomputing, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2017
Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
2014
Analysis of regional bone scan index measurements for the survival of patients with prostate cancer.
BMC Medical Imaging, 2014
2013
Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions.
PLoS Comput. Biol., 2013
Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
Artif. Intell. Medicine, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2011
An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images.
Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011
2009
Exploring new possibilities for case-based explanation of artificial neural network ensembles.
Neural Networks, 2009
Statistical Regularization of Deformation Fields for Atlas-Based Segmentation of Bone Scintigraphy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009
2006
A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department.
BMC Medical Informatics Decis. Mak., 2006
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room.
Artif. Intell. Medicine, 2006
2004
WeAidU - a decision support system for myocardial perfusion images using artificial neural networks.
Artif. Intell. Medicine, 2004
Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks.
Artif. Intell. Medicine, 2004
2003
Pervasive Self-Care Solutions in Telecardiology. Typical use cases from the EPI-MEDICS project.
Proceedings of the New Navigators: from Professionals to Patients, 2003
2002
2001
Eur. J. Oper. Res., 2001
2000
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
1999
WWW Based Service for Automated Interpretation of Diagnostic Imgages: The AIDI-Heart Project.
Proceedings of the High-Performance Computing and Networking, 7th International Conference, 1999
1997
1993
Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem.
Neural Comput., 1993