Mattias Ohlsson
- Computational Biology and Biological Physics - Has been reorganised
- Department of Astronomy and Theoretical Physics - Has been reorganised
- Artificial Intelligence in CardioThoracic Sciences (AICTS)
- eSSENCE: The e-Science Collaboration
- Faculty Office
- LU Profile Area: Natural and Artificial Cognition
- Centre for Environmental and Climate Science (CEC)
- Computational Science for Health and Environment
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- 2024
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Mark
How does an AI diagnose dyspnoea in ED triage without human guidance?
2024) Swedish Emergency Medicine Talks - SWEETS24(
- Contribution to conference › Poster
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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)
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- Contribution to journal › Article
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Mark
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
(
- Contribution to journal › Article
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The skåne emergency medicine (SEM) cohort
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- Contribution to journal › Article
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Mark
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
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- Contribution to journal › Article
- 2023
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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
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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
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Mark
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
2023) 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 In Studies in Health Technology and Informatics 302. p.609-610(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
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- Contribution to journal › Article
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Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
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- Contribution to journal › Article
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Deep learning prediction models based on EHR trajectories : A systematic review
(
- Contribution to journal › Scientific review
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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
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
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Mark
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
2023) 10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023 In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
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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
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Mark
Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
(
- 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
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Mark
Deterministic annealing with Potts neurons for multi-robot routing
(
- Contribution to journal › Article
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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
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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
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Mark
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain
(
- Contribution to journal › Scientific review
- 2021
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Mark
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11
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- Contribution to journal › Article
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Proteomic data analysis for differential profiling of the autoimmune diseases SLE, RA, SS, and ANCA-associated vasculitis
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- Contribution to journal › Article
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Mark
Mapping archeological signs from airborne lidar data using deep neural networks : Primary results
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
(
- Contribution to journal › Article
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Mark
Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study
2021) In medRxiv(
- Working paper/Preprint › Preprint in preprint archive
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Mark
Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations
(
- Contribution to journal › Article
- 2020
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Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
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- Contribution to journal › Article
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Mark
Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation
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- Contribution to journal › Article
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Mark
Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts
(
- Contribution to journal › Article
- 2019
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Mark
Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance
(
- Contribution to journal › Article
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Mark
Variational auto-encoders with Student’s t-prior
2019) 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
(
- Contribution to journal › Article
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Mark
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
(
- Contribution to journal › Article
- 2018
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Mark
Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation
2018) 38th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 37(4 Suppl). p.171-172(
- Contribution to journal › Published meeting abstract
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Mark
Improving prediction of heart transplantation outcome using deep learning techniques
2018) In Scientific Reports(
- Contribution to journal › Article
- 2017
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Mark
3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
(
- Contribution to journal › Article
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Mark
Influence of Structurally Based HLA Mismatching on Long-Term Graft Loss in Adult Heart Transplant Recipients
2017) 37th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation In The Journal of Heart and Lung Transplantation 36(4 Suppl). p.204-204(
- Contribution to journal › Published meeting abstract
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Mark
Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Tumor tissue protein signatures reflect histological grade of breast cancer
2017) In PLoS ONE(
- Contribution to journal › Article
- 2016
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Mark
Technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics
(
- Contribution to journal › Article
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Mark
Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer : A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice
(
- Contribution to journal › Article
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Mark
Statistical power considerations in genotype-based recall randomized controlled trials
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- Contribution to journal › Article
- 2015
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Mark
The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.
(
- Contribution to journal › Article
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Mark
Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.
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- Contribution to journal › Article
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Mark
Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease
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- Contribution to journal › Article
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Mark
Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms
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- Contribution to journal › Article
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Mark
ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients.
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- Contribution to journal › Article
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Mark
Analysis of the Influence of HLA-A Matching Relative to HLA-B and -DR Matching on Heart Transplant Outcomes
(
- Contribution to journal › Article
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Mark
Prediction of Primary Graft Dysfunction After Heart Transplantation
2015) 35th Annual Meeting and Scientific Sessions of the International Society for Heart and Lung Transplantation In The Journal of Heart and Lung Transplantation 34(4). p.35-35(
- Contribution to journal › Published meeting abstract