Mattias Ohlsson

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)

Ida Skarping, Julia Ellbrant, Looket Dihge, Mattias Ohlsson, Linnea Huss, et al.
(2024) BMC Cancer, 24
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The skåne emergency medicine (SEM) cohort

Ulf Ekelund, Bodil Ohlsson, Olle Melander, Jonas Björk, Mattias Ohlsson, et al.
(2024) Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 32 p.1-8
Artikel i tidskrift

How does an AI diagnose dyspnoea in ED triage without human guidance?

Ellen Tolestam Heyman, Awais Ashfaq, Ulf Ekelund, Mattias Ohlsson, Jonas Björk, et al.
(2024)
Affisch

The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models

Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn Rögnvaldsson
(2024) Artificial Intelligence in Medicine, 148
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Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients

Axel Nyström, Pontus Olsson de Capretz, Anders Björkelund, Jakob Lundager Forberg, Mattias Ohlsson, et al.
(2024) Journal of Electrocardiology, 82 p.42-51
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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

Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, et al.
(2023) BMC Medical Informatics and Decision Making, 23
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Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department

Ellen Tolestam Heyman, Awais Ashfaq, Ulf Ekelund, Mattias Ohlsson, Jonas Björk, et al.
(2023)
Affisch

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

Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani
(2023) Journal of biomedical informatics, 144
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Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset

Ellen Tolestam Heyman, Awais Ashfaq, Ulf Ekelund, Mattias Ohlsson, Jonas Björk, et al.
(2023)
Affisch

A machine learning model for prediction of 30-day primary graft failure after heart transplantation

Björn Linse, Mattias Ohlsson, Joseph Stehlik, Lars H. Lund, Bodil Andersson, et al.
(2023) Heliyon, 9
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Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network

Melda Kucukdemirci, Giacomo Landeschi, Mattias Ohlsson, Nicolo Dell'Unto
(2023) Archaeological Prospection, 30 p.209-219
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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

Looket Dihge, Pär Ola Bendahl, Ida Skarping, Malin Hjärtström, Mattias Ohlsson, et al.
(2023) Frontiers in Oncology, 13
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A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning

Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk
(2023) Studies in Health Technology and Informatics, 302 p.609-610
Konferensbidrag

Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks

Hamid Sarmadi, Thorsteinn Rognvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, et al.
(2023) 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings
Konferensbidrag

A review of explainable AI in the satellite data, deep machine learning, and human poverty domain

Ola Hall, Mattias Ohlsson, Thorsteinn Rögnvaldsson
(2022) Patterns, 3
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Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation

Lars André, Anders Björkelund, Ulf Ekelund, Tomas Vedin, Jonas Björk, et al.
(2022)
Affisch

Characteristics and severe outcomes of patients presenting to the Emergency Department with dizziness

Donika Haziri, Anders Björkelund, Ulf Ekelund, Jonas Björk, Mattias Ohlsson, et al.
(2022)
Affisch

The implementation of a noninvasive lymph node staging (NILS) preoperative prediction model is cost effective in primary breast cancer

Ida Skarping, Kristoffer Nilsson, Looket Dihge, Adam Fridhammar, Mattias Ohlsson, et al.
(2022) Breast Cancer Research and Treatment, 194 p.577-586
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Deterministic annealing with Potts neurons for multi-robot routing

Jennifer David, Thorsteinn Rögnvaldsson, Bo Söderberg, Mattias Ohlsson
(2022) Intelligent Service Robotics, 15 p.321-334
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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)

Ida Skarping, Looket Dihge, Pär Ola Bendahl, Linnea Huss, Julia Ellbrant, et al.
(2022) Diagnostics, 12
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Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality

Hugo Pomares-Millan, Alaitz Poveda, Naeimeh Atabaki Pasdar, Jonas Björk, Mattias Ohlsson, et al.
(2022) Nutrients, 14 p.1-13
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Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths

Ellen Tolestam Heyman, Awais Ashfaq, Ardavan Khoshnood, Mattias Ohlsson, Ulf Ekelund, et al.
(2021) Journal of Emergency Medicine, 61 p.763-773
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Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11

Mariana Reza, Manfred Wirth, Teuvo Tammela, Virgilio Cicalese, Francisco Gomez Veiga, et al.
(2021) European Urology Oncology, 4 p.49-55
Artikel i tidskrift

Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations

Anders Björkelund, Mattias Ohlsson, Jakob Lundager Forberg, Arash Mokhtari, Pontus Olsson de Capretz, et al.
(2021) Journal of the American college of emergency physicians open, 2
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Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study

Naeimeh Atabaki-Pasdar, Hugo Pomares-Millan, Robert W Koivula, Andrea Tura, Andrew Brown, et al.
(2021) medRxiv
Preprint

Proteomic data analysis for differential profiling of the autoimmune diseases SLE, RA, SS, and ANCA-associated vasculitis

Mattias Ohlsson, Thomas Hellmark, Anders A. Bengtsson, Elke Theander, Carl Turesson, et al.
(2021) Journal of Proteome Research, 20 p.1252-1260
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Mapping archeological signs from airborne lidar data using deep neural networks : Primary results

Melda Küçükdemirci, Giacomo Landeschi, Nicolo Dell'Unto, Mattias Ohlsson
(2021) ArcheoSciences, 45 p.291-293
Konferensbidrag

Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation

Alexander Galozy, Slawomir Nowaczyk, Anita Sant'Anna, Mattias Ohlsson, Markus Lingman
(2020) International Journal of Medical Informatics, 136
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Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival

Eirini Polymeri, May Sadik, Reza Kaboteh, Pablo Borrelli, Olof Enqvist, et al.
(2020) Clinical Physiology and Functional Imaging, 40 p.106-113
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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Naeimeh Atabaki Pasdar, Mattias Ohlsson, Hugo Pomares-Millan, Robert Koivula, Azra Kurbasic, et al.
(2020) PLoS Medicine, 17 p.1003149-1003149
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Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems

Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson
(2019) Neurocomputing, 365 p.137-146
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Human Leukocyte Antigen-Based Risk Stratification in Heart Transplant Recipients-Implications for Targeted Surveillance

Johan Nilsson, David Ansari, Mattias Ohlsson, Peter Höglund, Ann Sofie Liedberg, et al.
(2019) Journal of the American Heart Association, 8
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Artificial neural network models to predict nodal status in clinically node-negative breast cancer

Looket Dihge, Mattias Ohlsson, Patrik Edén, Pär Ola Bendahl, Lisa Rydén
(2019) BMC Cancer, 19
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Variational auto-encoders with Student’s t-prior

Najmeh Abiri, Mattias Ohlsson
(2019) ESANN 2019 - Proceedings : The 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Konferensbidrag

Improving prediction of heart transplantation outcome using deep learning techniques

Dennis Medved, Mattias Ohlsson, Peter Höglund, Bodil Andersson, Pierre Nugues, et al.
(2018) Scientific Reports
Artikel i tidskrift

Using Deep Neural Networks to Simulate Heart Allocation Policies : Journal of Heart and Lung Transplantation

D. Medved, P. Nugets, M. Ohlsson, P. Hoglund, B. Andersson, et al.
(2018) The Journal of Heart and Lung Transplantation, 37 p.171-172
Konferensbidrag: abstract

3D skeletal uptake of ¹⁸F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

Sarah Lindgren Belal, May Sadik, Reza Kaboteh, Nezar Hasani, Olof Enqvist, et al.
(2017) EJNMMI Research, 7
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Tumor tissue protein signatures reflect histological grade of breast cancer

Petter Skoog, Mattias Ohlsson, Mårten Fernö, Lisa Rydén, Carl Borrebaeck, et al.
(2017) PLoS ONE
Artikel i tidskrift

Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks

Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels C. Overgaard, Agnieszka Krzyzanowska, et al.
(2017) Medical Imaging 2017: Digital Pathology, 10140
Konferensbidrag

Influence of Structurally Based HLA Mismatching on Long-Term Graft Loss in Adult Heart Transplant Recipients

J. Nilsson, A. Nilsson, V. Jernryd, M. Ohlsson, B. Andersson
(2017) The Journal of Heart and Lung Transplantation, 36 p.204-204
Konferensbidrag: abstract

Statistical power considerations in genotype-based recall randomized controlled trials

Naeimeh Atabaki-Pasdar, Mattias Ohlsson, Dmitry Shungin, Azra Kurbasic, Erik Ingelsson, et al.
(2016) Scientific Reports, 6
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Technical advances of the recombinant antibody microarray technology platform for clinical immunoproteomics

Payam Delfani, Linda Dexlin Mellby, Malin Nordström, Andreas Holmér, Mattias Ohlsson, et al.
(2016) PLoS ONE, 11
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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

Mariana Reza Felix, Mattias Ohlsson, Reza Kaboteh, Aseem Anand, Ingela Franck Lissbrant, et al.
(2016) European Urology Focus, 2 p.540-546
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Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease

Sebastian Palmqvist, H. Zetterberg, N. Mattsson, Per Johansson, Lennart Minthon, et al.
(2015) Neurology, 85 p.1240-1249
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Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis.

Cristina Pina, José Teles, Cristina Fugazza, Gillian May, Dapeng Wang, et al.
(2015) Cell Reports, 11 p.1503-1510
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Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms

Jonas Kalderstam, Patrik Edén, Mattias Ohlsson
(2015) PLoS ONE, 10
Artikel i tidskrift

ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients.

Henrik Bergenfeldt, Peter Höglund, Bodil Andersson, Göran Rådegran, Mattias Ohlsson, et al.
(2015) Annals of Thoracic Surgery, 99 p.762-769
Artikel i tidskrift

Analysis of the Influence of HLA-A Matching Relative to HLA-B and -DR Matching on Heart Transplant Outcomes

David Ansari, Dragan Bućin, Peter Höglund, Mattias Ohlsson, Bodil Andersson, et al.
(2015) Transplantation direct, 1
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The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival.

Johan Nilsson, Mattias Ohlsson, Peter Höglund, Björn Ekmehag, Bansi Koul, et al.
(2015) PLoS ONE, 10
Artikel i tidskrift

Prediction of Primary Graft Dysfunction After Heart Transplantation

J. Nilsson, M. Ohlsson, J. Stehlik, Lars H Lund, B. Andersson
(2015) The Journal of Heart and Lung Transplantation, 34 p.35-35
Konferensbidrag: abstract

Bone Scan Index as a prognostic imaging biomarker during androgen deprivation therapy.

Mariana Reza, Anders Bjartell, Mattias Ohlsson, Reza Kaboteh, Per Wollmer, et al.
(2014) EJNMMI Research, 4
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Identification of B-cell lymphoma subsets by plasma protein profiling using recombinant antibody microarrays.

Frida Pauly, Karin E Smedby, Mats Jerkeman, Henrik Hjalgrim, Mattias Ohlsson, et al.
(2014) Leukemia Research: A Forum for Studies on Leukemia and Normal Hemopoiesis, 38 p.682-690
Artikel i tidskrift

Analysis of regional bone scan index measurements for the survival of patients with prostate cancer.

Jonas Kalderstam, May Sadik, Lars Edenbrandt, Mattias Ohlsson
(2014) BMC Medical Imaging, 14
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Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index

Reza Kaboteh, Peter Gjertsson, Håkan Leek, Milan Lomsky, Mattias Ohlsson, et al.
(2013) EJNMMI Research, 3
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CODUSA - Customize Optimal Donor Using Simulated Annealing In Heart Transplantation.

Daniel Ansari, Bodil Andersson, Mattias Ohlsson, Peter Höglund, Roland Andersson, et al.
(2013) Scientific Reports, 3
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Transcriptional regulation of lineage commitment - a stochastic model of cell fate decisions.

José Teles, Cristina Pina, Patrik Edén, Mattias Ohlsson, Tariq Enver, et al.
(2013) PLoS Computational Biology, 9
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Cerebrospinal Fluid Levels of Heart Fatty Acid Binding Protein are Elevated Prodromally in Alzheimer's Disease and Vascular Dementia

Bob Olsson, Joakim Hertze, Mattias Ohlsson, Katarina Nägga, Kina Hoglund, et al.
(2013) Journal of Alzheimer's Disease, 34 p.673-679
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Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.

Jonas Kalderstam, Patrik Edén, Pär-Ola Bendahl, Carina Forsare, Mårten Fernö, et al.
(2013) Artificial Intelligence in Medicine, 58 p.125-132
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Bone Scan Index: A prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy

Reza Kaboteh, Jan-Erik Damber, Peter Gjertsson, Peter Höglund, Milan Lomsky, et al.
(2013) EJNMMI Research, 3 p.1-6
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Prognosis of patients without perfusion defects with and without rest study in myocardial perfusion scintigraphy

Lars Edenbrandt, Mattias Ohlsson, Elin Trägårdh
(2013) EJNMMI Research, 3
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Ensembles of genetically trained artificial neural networks for survival analysis

Jonas Kalderstam, Patrik Edén, Mattias Ohlsson
(2013) ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning , p.333-338
Konferensbidrag

Influence of HLA Matching on Heart Transplant Outcomes

J. Nilsson, D. Bucin, P. Hoglund, M. Ohlsson, B. Andersson
(2012) American Journal of Transplantation, 12 p.382-383
Konferensbidrag

Evaluation of a previously suggested plasma biomarker panel to identify Alzheimer's disease.

Maria Björkqvist, Mattias Ohlsson, Lennart Minthon, Oskar Hansson
(2012) PLoS ONE, 7
Artikel i tidskrift

Risk predictions for individual patients from logistic regression were visualized with bar-line charts.

Jonas Björk, Ulf Ekelund, Mattias Ohlsson
(2012) Journal of Clinical Epidemiology, 65 p.335-342
Artikel i tidskrift

A Novel Automated Platform for Quantifying the Extent of Skeletal Tumour Involvement in Prostate Cancer Patients Using the Bone Scan Index.

David Ulmert, Reza Kaboteh, Josef J Fox, Caroline Savage, Michael J Evans, et al.
(2012) European Urology, 62 p.78-84
Artikel i tidskrift

Likelihood of acute coronary syndrome in emergency department chest pain patients varies with time of presentation

Ulf Ekelund, Mahin Akbarzadeh, Ardavan Khoshnood, Jonas Björk, Mattias Ohlsson
(2012) BMC Research Notes, 5
Artikel i tidskrift

Referring physicians underestimate the extent of abnormalities in final reports from myocardial perfusion imaging

Elin Tragardh, Peter Höglund, Mattias Ohlsson, Mattias Wieloch, Lars Edenbrandt
(2012) EJNMMI Research, 2
Artikel i tidskrift

An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

Jakob L Forberg, Ardavan Khoshnood, Michael Green, Mattias Ohlsson, Jonas Björk, et al.
(2012) Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 20 p.1-9
Artikel i tidskrift

ABO Blood Type Matching and Survival after Heart Transplantation: Analyze of the ISHLT Registry : Journal of Heart and Lung Transplantation

J. Nilsson, M. Ohlsson, P. Hoglund, B. Ekmehag, B. Koul, et al.
(2012) The Journal of Heart and Lung Transplantation, 31 p.136-136
Konferensbidrag: abstract

Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases.

Anders Carlsson, Christer Wingren, Malin Nordström, Carsten Rose, Mårten Fernö, et al.
(2011) Proceedings of the National Academy of Sciences, 108 p.14252-14257
Artikel i tidskrift

Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy.

Peter Gjertsson, Lena Johansson, Milan Lomsky, Mattias Ohlsson, Stephen Richard Underwood, et al.
(2011) Clinical Physiology and Functional Imaging, 31 p.240-245
Artikel i tidskrift

An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images

Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Christian Overgaard, et al.
(2011) Lecture Notes in Computer Science, 6688 p.489-500
Konferensbidrag

Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks.

Bodil Andersson, Roland Andersson, Mattias Ohlsson, Johan Nilsson
(2011) Pancreatology, 11 p.328-335
Artikel i tidskrift

Diagnostic evaluation of three cardiac software packages using a consecutive group of patients

Lena Johansson, Milan Lomsky, Jens Marving, Mattias Ohlsson, Sven-Eric Svensson, et al.
(2011) EJNMMI Research, 1 p.1-7
Artikel i tidskrift

Electrocardiograms of men and women with suspected acute coronary syndrome in the ED

Catarina Ellehuus Hilmersson, Jakob Lundager Forberg, Mattias Ohlsson, Ulf Ekelund
(2011) , p.23-23
Konferensbidrag: abstract

Artificial Neural Networks - A Method for Optimal. Donor-Recipient Matching. Large Scale Simulation of Survival after Heart Transplantation

J Nilsson, M Ohlsson, P Höglund, B Ekmehag, B Koul
(2010) Journal of Heart and Lung Transplantation, 29 p.29-29
Konferensbidrag: abstract

Pre-treatment Bone Scan Index as an Outcome Measure Predicting for Survival in Patients with Castration-Refractory Prostate Cancer

Lars Edenbrandt, Peter Höglund, Håkan Leek, Mattias Ohlsson
(2010) European Journal of Nuclear Medicine and Molecular Imaging, 37 p.270-270
Konferensbidrag: abstract

Genetic profiles of gastroesophageal cancer: combined analysis using expression array and tiling array-comparative genomic hybridization

Anna Isinger Ekstrand, Jan Johansson, Mattias Ohlsson, Princy Francis, Johan Staaf, et al.
(2010) Cancer Genetics and Cytogenetics, 200 p.120-126
Artikel i tidskrift

Automated Decision Support for Bone Scintigraphy

Mattias Ohlsson, Karl Sjostrand, Jens Richter, Reza Kaboteh, May Sadik, et al.
(2009) 2009 22nd IEEE International Symposium on Computer-Based Medical Systems , p.298-303
Konferensbidrag

In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.

Jakob L Forberg, Michael Green, Jonas Björk, Mattias Ohlsson, Lars Edenbrandt, et al.
(2009) Journal of Electrocardiology, 42 p.58-63
Artikel i tidskrift

Virtual Cross-Matching in Heart Transplantation : Large Scale Simulation of Survival after Heart Transplantation Using Artificial Neural Networks

J Nilsson, M Ohlsson, Peter Höglund, B Ekmehag, B Koul
(2009) Journal of Heart and Lung Transplantation, 28 p.231-232
Konferensbidrag: abstract

Exploring new possibilities for case based explanation of artificial neural network ensembles

Michael Green, Ulf Ekelund, Lars Edenbrandt, Jonas Björk, Jakob Lundager Hansen, et al.
(2009) Neural Networks, 22 p.75-81
Artikel i tidskrift

Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT

Milan Lomsky, Peter Gjertsson, Lena Johansson, Jens Richter, Mattias Ohlsson, et al.
(2008) European Journal of Nuclear Medicine and Molecular Imaging, 35 p.1523-1529
Artikel i tidskrift

Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients

Michael Green, Ulf Ekelund, Lars Edenbrandt, Jonas Björk, Jakob Lundager Hansen, et al.
(2008) Proceedings of the ICML/UAI/COLT 2008 Workshop on Machine Learning for Health-Care Applications
Konferensbidrag

Computer-Assisted Interpretation of Planar Whole-Body Bone Scans.

May Sadik, Iman Hamadeh, Pierre Nordblom, Madis Suurkula, Peter Höglund, et al.
(2008) Journal of Nuclear Medicine, 49 p.1958-1965
Artikel i tidskrift

Pre-hospital prediction of transmural myocardial infarction and the need of acute coronary reperfusion by an artificial neural network compared to real-time prediction by a cardiac care unit physician

Jakob Lundager Forberg, Ardavan Khoshnood, Michael Green, Mattias Ohlsson, Lars Edenbrandt, et al.
(2008)
Affisch

Exploring new possibilities for case based explanation of artificial neural network ensembles

Michael Green, Mattias Ohlsson
(2008)
Affisch

Automated interpretation of PET/CT images in patients with lung cancer.

Henrik Gutte, David Jakobsson, Fredrik Olofsson, Mattias Ohlsson, Sven Valind, et al.
(2007) Nuclear Medicine Communications, 28 p.79-84
Artikel i tidskrift

Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome.

Michael Green, Mattias Ohlsson, Jakob Lundager Forberg, Jonas Björk, Lars Edenbrandt, et al.
(2007) Journal of Electrocardiology, 40 p.251-256
Artikel i tidskrift

Comparison of standard resampling methods for performance estimation of artificial neural network ensembles

Michael Green, Mattias Ohlsson
(2007) Third International Conference on Computational Intelligence in Medicine and Healthcare
Konferensbidrag

Patient gender and radiopharmaceutical tracer is of minor importance for the interpretation of myocardial perfusion images using an artificial neural network.

Kristina Tägil, S Richard Underwood, Glyn Davies, Katherine A Latus, Mattias Ohlsson, et al.
(2006) Clinical Physiology and Functional Imaging, 26 p.146-150
Artikel i tidskrift

Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room

Michael Green, Jonas Björk, Jakob Forberg, Ulf Ekelund, Lars Edenbrandt, et al.
(2006) Artificial Intelligence in Medicine, 38 p.305-318
Artikel i tidskrift

Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy.

Emma Niméus, Cecilia Ritz, Patrik Edén, Anders Johnsson, Mattias Ohlsson, et al.
(2006) European Journal of Cancer, 42 p.2729-2737
Artikel i tidskrift

Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks.

Johan Nilsson, Mattias Ohlsson, Lars Thulin, Peter Höglund, Samer A M Nashef, et al.
(2006) Journal of Thoracic and Cardiovascular Surgery, 132 p.12-31
Artikel i tidskrift

A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department

Jonas Björk, Jakob Lundager Hansen, Mattias Ohlsson, Lars Edenbrandt, Hans Öhlin, et al.
(2006) BMC Medical Informatics and Decision Making, 6
Artikel i tidskrift

The added value of ECG-gating for the diagnosis of myocardial infarction using myocardial perfusion scintigraphy and artificial neural networks

Peter Gjertsson, Milan Lomsky, Jens Richter, Mattias Ohlsson, Deborah Tout, et al.
(2006) Clinical Physiology and Functional Imaging, 26 p.301-304
Artikel i tidskrift

Decision Support for the Initial Triage of Patients with Acute Myocardial Infarction

Sven-Erik Olsson, Mattias Ohlsson, Hans Öhlin, Samir Dzaferagic, Marie-Louise Nilsson, et al.
(2006) Clinical Physiology and Functional Imaging, 26 p.151-156
Artikel i tidskrift

A new computer-based decision-support system for the interpretation of bone scans.

May Sadik, David Jakobsson, Fredrik Olofsson, Mattias Ohlsson, Madis Suurkula, et al.
(2006) Nuclear Medicine Communications, 27 p.417-423
Artikel i tidskrift

Method for protein structure alignment

(2005)
Patent

Interpretation of captopril renography using artificial neural networks.

Magnus Nielsen, Göran Granerus, Mattias Ohlsson, Holger Holst, Ola Thorsson, et al.
(2005) Clinical Physiology and Functional Imaging, 25 p.293-296
Artikel i tidskrift

Detection of acute coronary syndromes in chest pain patients using neural network ensembles

Michael Green, Jonas Björk, Jakob Lundager Hansen, Ulf Ekelund, Lars Edenbrandt, et al.
(2005) Second International Conference on Computational Intelligence in Medicine and Healthcare , p.182-187
Konferensbidrag

Toward personal eHealth in cardiology. Results from the EPI-MEDICS telemedicine project

Paul Rubel, Jocelyne Fayn, Giandomenico Nollo, Deodato Assanelli, Bo Li, et al.
(2005) [Host publication title missing], 38 p.100-106
Konferensbidrag

Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks.

Henrik Haraldsson, Lars Edenbrandt, Mattias Ohlsson
(2004) Artificial Intelligence in Medicine, 32 p.127-136
Artikel i tidskrift

WeAidU - a decision support system for myocardial perfusion images using artificial neural networks

Mattias Ohlsson
(2004) Artificial Intelligence in Medicine, 30 p.49-60
Artikel i tidskrift

New Paradigms in Telemedicine: Ambient Intelligence, Wearable, Pervasive and Personalized

Paul Rubel, Jocelyne Fayn, Lucas Simon-Chautemps, Hussein Atoui, Mattias Ohlsson, et al.
(2004) Wearable eHealth Systems for Personalised Health Management: State of the Art and Future Challenges, 108 p.123-132
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Regional Cerebral Blood Flow in Alzheimer's Disease: Classification and Analysis of Heterogeneity.

Siegbert Warkentin, Mattias Ohlsson, Per Wollmer, Lars Edenbrandt, Lennart Minthon
(2004) Dementia and Geriatric Cognitive Disorders, 17 p.207-214
Artikel i tidskrift

Protein structure alignment using mean field annealing

Mattias Ohlsson
(2004)
Konferensbidrag

Matching protein structures with fuzzy alignments

R Blankenbecler, Mattias Ohlsson, Carsten Peterson, Markus Ringnér
(2003) Proceedings of the National Academy of Sciences, 100 p.11936-11940
Artikel i tidskrift

Role of ventilation scintigraphy in diagnosis of acute pulmonary embolism: an evaluation using artificial neural networks.

Eva Evander, Holger Holst, Andreas Järund, Mattias Ohlsson, Per Wollmer, et al.
(2003) European Journal of Nuclear Medicine and Molecular Imaging, 30 p.961-965
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A novel approach to local reliability of sequence alignments.

Maximilian Schlosshauer, Mattias Ohlsson
(2002) Bioinformatics, 18 p.847-854
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Value of exercise data for the interpretation of myocardial perfusion SPECT

Henrik Haraldsson, Mattias Ohlsson, Lars Edenbrandt
(2002) Journal of Nuclear Cardiology, 9 p.169-173
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Neural networks--a diagnostic tool in acute myocardial infarction with concomitant left bundle branch block.

Sven-Erik Olsson, Mattias Ohlsson, Hans Öhlin, Lars Edenbrandt
(2002) Clinical Physiology and Functional Imaging, 22 p.295-299
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An efficient mean field approach to the set covering problem

Mattias Ohlsson, Carsten Peterson, Bo Söderberg
(2001) European Journal of Operational Research, 133 p.583-595
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Usefulness of serial electrocardiograms for diagnosis of acute myocardial infarction

Mattias Ohlsson, Hans Öhlin, Susanna Maria Wallerstedt, Lars Edenbrandt
(2001) American Journal of Cardiology, 88 p.478-481
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An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks

Holger Holst, Klas Måre, Andreas Järund, Karl Åström, Eva Evander, et al.
(2001) European Journal Of Nuclear Medicine, 28 p.33-38
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The optimal reference population for cardiac normality in myocardial SPET in the detection of coronary artery stenoses: patients with normal coronary angiography or subjects with low likelihood of coronary artery disease?

Jens Toft, Dan Lindahl, Mattias Ohlsson, John Palmer, Anders Lundin, et al.
(2001) European Journal Of Nuclear Medicine, 28 p.831-835
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Using hidden Markov models to characterize disease trajectories

Carsten Peterson, Mattias Ohlsson
(2001) Proceedings of the Neural Networks and Expert Systems in Medicine and Healthcare Conference, 324-326 (2001), eds. G.M. Papadourakis , p.324-326
Del av eller Kapitel i bok

A novel approach to structure alignment

Mattias Ohlsson, Carsten Peterson, Markus Ringnér, Richard Blankenbecler
(2000) LU TP 00-07
Rapport

A confident decision support system for interpreting electrocardiograms

Holger Holst, Mattias Ohlsson, Carsten Peterson, Lars Edenbrandt
(1999) Clinical Physiology, 19 p.410-418
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Intelligent computer reporting 'lack of experience' : A confidence measure for decision support systems

H. Holst, M. Ohlsson, C. Peterson, L. Edenbrandt
(1998) Clinical Physiology, 18 p.139-147
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Automated interpretation of myocardial SPECT perfusion images using artificial neural networks

Dan Lindahl, John Palmer, Mattias Ohlsson, Carsten Peterson, Anders Lundin, et al.
(1997) Journal of Nuclear Medicine, 38 p.1870-1875
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A study of the mean field approach to knapsack problems

Mattias Ohlsson, Hong Pi
(1997) Neural Networks, 10 p.263-271
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Agreement between artificial neural networks and experienced electrocardiographer on electrocardiographic diagnosis of healed myocardial infarction

Bo Hedén, Mattias Ohlsson, Ralf Rittner, Olle Pahlm, Wesley K. Haisty, et al.
(1996) Journal of the American College of Cardiology, 28 p.1012-1016
Artikel i tidskrift

Mattias Ohlsson

Publikationer