Mattias Ohlsson

Orcid: 0000-0003-1145-4297

According to our database1, Mattias Ohlsson authored at least 35 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Deep learning prediction models based on EHR trajectories: A systematic review.
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

Deterministic annealing with Potts neurons for multi-robot routing.
Intell. Serv. Robotics, 2022

Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain.
CoRR, 2022

The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models.
CoRR, 2022

SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP.
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

Corrupted Contextual Bandits with Action Order Constraints.
CoRR, 2020

2019
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems.
Neurocomputing, 2019

Variational auto-encoders with Student's t-prior.
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

Ensembles of genetically trained artificial neural networks for survival analysis.
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

Automated decision support for bone scintigraphy.
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
A novel approach to local reliability of sequence alignments.
Bioinform., 2002

2001
An efficient mean field approach to the set covering problem.
Eur. J. Oper. Res., 2001

2000
Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

Internet Based Artificial Neural Networks for the Interpretation of Medical Images.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

A New Artificial Neural Network Method for the Interpretation of ECGs.
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
A Study of the Mean Field Approach to Knapsack Problems.
Neural Networks, 1997

1993
Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem.
Neural Comput., 1993


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