Publications - Mattias Ohlsson

[refereed articles] [conference proceedings] [unpublished reports] [thesis]

Refereed articles:

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, Ulf Ekelund and Jonas Björk
Journal of the American College of Emergency Physicians Open 2, e12363 (2021)
[ doi link ]

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, Cecilia Klint, Christer Wingren and Anna Isinger Ekstrand
Journal of Proteome Research 20, 1252--1260 (2021)
[ doi link ]

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, Peter Mulders, Kurt Miller, Andrea Tubaro, Frans Debruyne, Anup Patel, Christien Caris, Wim Witjes, Ola Thorsson, Per Wollmer, Lars Edenbrandt, Mattias Ohlsson, Elin Trägårdh and Anders Bjartell
European Urology Oncology (2021)
[ abstract ] [ doi link ]

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, Ana Viñuela, Francesca Frau, Hugo Pomares-Millan, Mark Haid, Angus G Jones, E Louise Thomas, Robert W Koivula, Azra Kurbasic, Pascal M Mutie, Hugo Fitipaldi, Juan Fernandez, Adem Y Dawed, Giuseppe N Giordano, Ian M Forgie, Timothy J McDonald, Femke Rutters, Henna Cederberg, Elizaveta Chabanova, Matilda Dale, Federico De Masi, Cecilia Engel Thomas, Kristine H Allin, Tue H Hansen, Alison Heggie, Mun-Gwan Hong, Petra JM Elders, Gwen Kennedy, Tarja Kokkola, Helle Krogh Pedersen, Anubha Mahajan, Donna McEvoy, Francois Pattou, Violeta Raverdy, Ragna S Häussler, Sapna Sharma, Henrik S Thomsen, Jagadish Vangipurapu, Henrik Vestergaard, Leen M ‘t Hart, Jerzy Adamski, Petra B Musholt, Soren Brage, Søren Brunak, Emmanouil Dermitzakis, Gary Frost, Torben Hansen, Markku Laakso, Oluf Pedersen, Martin Ridderstråle, Hartmut Ruetten, Andrew T Hattersley, Mark Walker, Joline WJ Beulens, Andrea Mari, Jochen M Schwenk, Ramneek Gupta, Mark I McCarthy, Ewan R Pearson, Jimmy D Bell, Imre Pavo and Paul W Franks
PLoS medicine 17:6, e1003149 (2020)
[ doi link ]

Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation
Alexander Galozy, Slawomir Nowaczyk, Anita Sant’Anna, Mattias Ohlsson and Markus Lingman
International Journal of Medical Informatics 136, 104092 (2020)
[ doi link ]

Deep Learning-Based Quantification of PET/CT Prostate Gland Uptake: Association with Overall Survival
Eirini Polymeri, May Sadik, Reza Kaboteh, Pablo Borelli, Olof Engvist, Johannes Ullén, Mattias Ohlsson, Elin Trägårdh, Mads Hvid Aaberg Poulsen, Jane Simonsen, Poul Flemming Hoilund-Carlsen, Åse A. Johnsson and Lars Edenbrandt
Clinical Physiology and Functional Imaging 40:2, 106-113 (2020)
[ abstract ] [ doi link ]

Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
Najmeh Abiri, Björn Linse, Patrik Edén and Mattias Ohlsson
Neurocomputing 365:6, 137-146 (2019)
[ abstract ] [ doi link ]

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, J. Gustav Smith, Pierre Nugues and Bodil Andersson
Journal of the American Heart Association 8:15, e011124 (2019)
[ abstract ] [ doi link ]

Artificial neural network models to predict nodal status in clinically node-negative breast cancer
Looket Dihge, Mattias Ohlsson, Patrik Edén, Pär-Ola Bendahl and Lisa Rydén
BMC Cancer 19:1, 610 (2019)
[ abstract ] [ doi link ]

Improving prediction of heart transplantation outcome using deep learning techniques
Dennis Medved, Mattias Ohlsson, Peter Höglund, Bodil Andersson, Pierre Nugues and Johan Nilsson
Scientific Reports 8, 3613 (2018)
[ abstract ] [ doi link ]

Tumor tissue protein signatures reflect histological grade of breast cancer
Petter Skoog, Mattias Ohlsson, Mårten Fernö, Lisa Rydén, Carl A.K. Borrebaeck and Christer Wingren
PLoS ONE 12:6, ee0179775 (2017)
[ abstract ] [ doi link ]

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, Linus Svärm, Fredrik Kahl, Jane Simonsen, Mads H. Poulsen, Mattias Ohlsson, Poul F. Høilund-Carlsen, Lars Edenbrandt and Elin Trägårdh
EJNMMI Research 7:15 (2017)
[ abstract ] [ doi link ]

Statistical power considerations in genotype-based recall randomized controlled trials
Naeimeh Atabaki-Pasdar, Mattias Ohlsson, Dmitry Shungin, Azra Kurbasic, Erik Ingelsson, Ewan Pearson, Ashfaq Ali and Paul W. Franks
Scientific Reports 6, 37307 (2016)
[ abstract ] [ doi link ]

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, Mattias Ohlsson, Reza Kaboteh, Aseem Anand, Ingela Franck-Lissbrant, Jan-Erik Damber, Anders Widmark, Camilla Thellenberg-Karlsson, Lars Budäus, Thomas Steuber, Till Eichenauer, Per Wollmer, Lars Edenbrandt, Elin Trägårdh and Anders Bjartell
European Urology Focus 2:5, 540-546 (2016)
[ abstract ] [ doi link ]

Technical Advances of the Recombinant Antibody Microarray Technology Platform for Clinical Immunoproteomics
Payam Delfani, Linda Dexlin Mellby, Malin Nordström, Andreas Holmér, Mattias Ohlsson, Carl A. K. Borrebaeck and Christer Wingren
PloS one 11:7, e0159138 (2016)
[ abstract ] [ doi link ]

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 and Johan Nilsson
Transplantation Direct 1, e38 (2015)
[ abstract ] [ doi link ]

Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer's disease
S. Palmqvist, H. Zetterberg, N. Mattsson, P. Johansson, L. Minthon, K. Blennow, M. Ohlsson and O. Hansson
Neurology 85:14, 1240-1249 (2015)
[ abstract ] [ doi link ]

Finding risk groups by optimizing artificial neural networks on the area under the survival curve using genetic algorithms
J. Kalderstam, P. Edén and M. Ohlsson
PLoS ONE 10:9, e0137597 (2015)
[ abstract ] [ doi link ]

Single-Cell Network Analysis Identifies DDIT3 as a Nodal Lineage Regulator in Hematopoiesis
C. Pina, J. Teles, C. Fugazza, G. May, D. Wang, Y. Guo, S. Soneji, J. Brown, P. Eden, M. Ohlsson, C. Peterson and T. Enver
Cell Reports 11:10, 1503-1510 (2015)
[ abstract ] [ doi link ]

ABO-Identical Blood Group Matching Has No Survival Benefit for AB Heart Transplant Recipients
H. Bergenfeldt, P. Höglund, B. Andersson, G. Rådegran, M. Ohlsson and Johan Nilsson
The Annals of Thoracic Surgery 99:3, 762-768 (2015)
[ abstract ] [ doi link ]

The International Heart Transplant Survival Algorithm (IHTSA): A New Model to Improve Organ Sharing and Survival
J. Nilsson, M. Ohlsson, P. Höglund, B. Ekmehag, B. Koul and B. Andersson
PLoS ONE 10:3, e29868 (2015)
[ abstract ] [ doi link ]

Bone Scan index as a Prognostic Imaging Biomarker During Androgen Deprivation Therapy
M. Reza, A. Bjartell, M. Ohlsson, R. Kaboteh, P. Wollmer, L. Edenbrandt and E. Trägårdh
EJNMMI Research 4:58 (2014)
[ abstract ] [ doi link ]

Analysis of regional bone scan index measurements for the survival of patients with prostate cancer
J. Kalderstam, M. Zadik, L. Edenbrandt and M. Ohlsson
BMC Medical Imaging 14:24 (2014)
[ abstract ] [ doi link ]

Identification of B-cell lymphoma subsets by plasma protein profiling using recombinant antibody microarrays
F. Pauly, M. Jerkeman, H. Hjalgrim, K. Ekström-Smedby, M. Ohlsson, C. A. K. Borrebaeck and C. Wingren
Leukemia Research 38:6, 682-690 (2014)
[ abstract ] [ doi link ]

Transcriptional regulation of lineage commitment - a stochastic model of cell fate decisions
J. Teles, C. Pina, P. Edén, M. Ohlsson, T. Enver and C. Peterson
PLoS Computational Biology 9:8 (2013)
[ abstract ] [ doi link ]

Progression of Bone Metastases in Patients with Prostate Cancer - Automated Detection of New Lesions and Calculation of Bone Scan Index
R. Kaboteha, P. Gjertsson, H. Leek, M. Lomsky, M. Ohlsson, K. Sjöstrand and L. Edenbrandt
EJNMMI Research 3:64 (2013)
[ abstract ] [ doi link ]

Prognosis of patients without perfusion defects with and without rest study in myocardial perfusion scintigraphy
L. Edenbrandt, M. Ohlsson and E. Trägårdh
EJNMMI Research 3:58 (2013)
[ abstract ] [ doi link ]

CODUSA - Customize Optimal Donor Using Simulated Annealing In Heart Transplantation
D. Ansari, B. Andersson, M. Ohlsson, P. Höglund, R. Andersson and J. Nilsson
Scientific Reports 3, 1922 (2013)
[ abstract ] [ doi link ]

Training neural networks directly on the concordance index for censored data using genetic algorithms
J. Kalderstam, P. Edén, P-O. Bendahl, C. Strand, M. Fernö and M. Ohlsson
Artificial Intelligence in Medicine 58:2, 125-132 (2013)
[ abstract ] [ doi link ]

Cerebrospinal Fluid Levels of Heart Fatty Acid Binding Protein are Elevated Prodromally in Alzheimer's Disease and Vascular Dementia
B. Olsson, J. Hertze, M. Ohlsson, K. Nägga, K. Höglund, H. Basun, P. Annas, L. Lannfelt, N. Andreasen, L. Minthon, H. Zetterberg, K. Blennow and O. Hansson
Journal of Alzheimer's Disease 34:3, 673-679 (2013)
[ abstract ] [ doi link ]

Bone Scan Index: a prognostic imaging biomarker for high-risk prostate cancer patients receiving primary hormonal therapy
R. Kaboteh, J-E. Damber, P. Gjertsson, P. Höglund, M. Lomsky, M. Ohlsson and L. Edenbrandt
EJNMMI Research 3:9 (2013)
[ abstract ] [ doi link ]

Likelihood of acute coronary syndrome in emergency department chest pain patients varies with time of presentation
U. Ekelund, M. Akbarzadeh, A. Khoshnood, J. Björk and M. Ohlsson
BMC Research Notes 5:420 (2012)
[ abstract ] [ doi link ]

Referring physicians underestimate the extent of abnormalities based on the final report in myocardial perfusion imaging
E. Trägårdh, P. Höglund, M. Ohlsson, M. Wieloch and L. Edenbrandt
EJNMMI Research 2:27 (2012)
[ abstract ] [ doi link ]

A Novel Automated Platform to Quantify the Extent of Skeletal Tumor Involvement in Prostate Cancer Patients with Bone Scan Index
D. Ulmert, R. Kaboteh, J. J. Fox, C. Savage, M. J. Evans, H. Lilja, P-E. Abrahamsson, T. Björk, A. Gerdtsson, A. Bjartell, P. Gjertsson, P. Höglund, M. Lomsky, M. Ohlsson, J. Richter, M. Sadik, M. J. Morris, H. I. Scher, K. Sjöstrand, A. Yu, M. Suurkula, A. J. Vickers, L. Edenbrandt and S. M. Larson
European Urology 62:1, 78-84 (2012)
[ abstract ] [ doi link ]

Evaluation of a Previously Suggested Plasma Biomarker Panel to Identify Alzheimer's Disease
M. Björkqvist, M. Ohlsson, L. Minthon and O. Hansson
PLoS ONE 7:1, e29868 (2012)
[ abstract ] [ doi link ]

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
J.L. Forberg, A. Khoshnood, M. Green, M. Ohlsson, J. Björk, S. Jovinge, L. Edenbrandt and U. Ekelund
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 20:8 (2012)
[ abstract ] [ doi link ]

Risk predictions for individual patients from logistic regression can be visualized with bar-line charts
J. Björk, U. Ekelund and M. Ohlsson
Journal of Clinical Epidemiology 65, 335-342 (2012)
[ abstract ] [ doi link ]

Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
L. Johansson, M. Lomsky, J. Marving, M. Ohlsson, S-E. Svensson and L. Edenbrandt
EJNMMI Research 1:22 (2011)
[ abstract ] [ doi link ]

Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks
B. Andersson, R. Andersson, M. Ohlsson and Johan Nilsson
Pancreatology 11, 328-335 (2011)
[ abstract ] [ doi link ]

Molecular serum portraits in patients with primary breast cancer predict the development of distant metastases
A. Carlsson, C. Wingren, M. Kristensson, C. Rose, M. Fernö, H. Olsson, H. Jernström, S. Ek, E. Gustavsson, C. Ingvar, M. Ohlsson, C. Peterson and C.A.K. Borrebaeck
Proceedings of the National Academy of Sciences USA 108, 14252-14257 (2011)
[ abstract ] [ doi link ]

Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy
P. Gjertsson, L. Johansson, M. Lomsky, M. Ohlsson, S.R. Underwood and L. Edenbrandt
Clinical Physiology and Functional Imaging 31:3, 240-245 (2011)
[ abstract ] [ doi link ]

Genetic profiles of gastroesophageal cancer: combined analysis using expression array and tiling array-comparative genomic hybridization
A. Isinger-Ekstrand, J. Johansson, M. Ohlsson, P. Francis, J. Staaf, M. Jönsson, Å. Borg and M. Nilbert
Cancer Genetics and Cytogenetics 200:2, 120-126 (2010)
[ abstract ] [ doi link ]

Exploring new possibilities for case based explanation of artificial neural network ensembles
M. Green, U. Ekelund, L. Edenbrandt, J. Björk, J. L. Foreberg and M. Ohlsson
Neural Networks 22:1, 75-81 (2009)
[ abstract ] [ doi link ]

In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department
J. L. Foreberg, M. Green, J. Björk, M. Ohlsson, L. Edenbrandt, H. Öhlin and U. Ekelund
Journal of Electrocardiology 42:1, 58-63 (2009)
[ abstract ] [ doi link ]

Computer-Assisted Interpretation of planar whole-body bone scans
M. Sadik, I. Hamadeh, P. Nordblom, M. Suurkula, P. Höglund, M. Ohlsson and L. Edenbrandt
Journal of Nuclear Medicine 49:12, 1958-1965 (2008)
[ abstract ] [ doi link ]

Evaluation of a decision support system for interpretation of myocardial perfusion gated SPECT
M. Lomsky, P. Gjertsson, L. Johansson, J. Richter, M. Ohlsson, D. Tout, R. S. Underwood and L. Edenbrandt
European Journal of Nuclear Medicine and Molecular Imaging 35:8, 1523-1529 (2008)
[ abstract ] [ doi link ]

Best leads in the standard electrocardiogram for the emergency detection of acute coronary syndrome
M. Green, M. Ohlsson, J. L. Forberg, J. Björk, L. Edenbrandt and U. Ekelund
Journal of Electrocardiology 40:3, 251-256 (2007)
[ abstract ] [ doi link ]

Automated Interpretation of PET/CT images in Patients with Lung Cancer
H. Gutte, D. Jakobsson, F. Olofsson, M. Ohlsson, S. Valind, A. Loft, L. Edenbrandt and A. Kjær
Nuclear Medicine Communications 28:2, 79-84 (2007)
[ abstract ] [ doi link ]

Gene expression profilers and conventional clinical markers to predict distant recurrences for premenopausal breast cancer patients after adjuvant chemotherapy (CMF)
E. Niméus-Malmström, C. Ritz, P. Edén, A. Johnsson, M. Ohlsson, C. Strand, G. Östberg, M. Fernö and C. Peterson
European Journal of Cancer 42, 2729-2737 (2006)
[ abstract ] [ doi link ]

Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room
M. Green, J. Björk, J. Forberg, U. Ekelund, L. Edenbrandt and M. Ohlsson
Artificial Intelligence in Medicine 38, 305-318 (2006)
[ abstract ] [ doi link ]

The added value of ECG-gating for the diagnosis of myocardial infarction using myocardial perfusion scintigraphy and artificial neural networks
P. Gjertsson, M. Lomsky, J. Richter, M. Ohlsson, D. Tout, A. van Aswegen, R. Underwood and L. Edenbrandt
Clinical Physiology and Functional Imaging 26, 301-304 (2006)
[ abstract ] [ doi link ]

A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department
J. Björk, J. L. Forberg, M. Ohlsson, L. Edenbrandt, H. Öhlin and U. Ekelund
BMC Medical Informatics and Decision Making 6 (2006)
[ abstract ] [ doi link ]

Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks
J. Nilsson, M. Ohlsson, L. Thulin, P. Höglund, S.A. Nashef and J. Brandt
The Journal of Thoracic and Cardiovascular Surgery 132, 12-19 (2006)
[ abstract ] [ doi link ]

Patient gender and radiopharmaceutical tracer is of minor importance for the interpretation of myocardial perfusion images using an artificial neural network
K. Tägil, R. S. Underwood, G. Davies, K. A. Latus, M. Ohlsson, C. Wallin and L. Edenbrandt
Clinical Physiology and Functional Imaging 26:3, 146-150 (2006)
[ abstract ] [ doi link ]

A new computer-based decision-support system for the interpretation of bone scans
M. Sadik, D. Jakobsson, F. Olofsson, M. Ohlsson, M. Suurkula and L. Edenbrandt
Nuclear Medicine Communications 27:5, 417-423 (2006)
[ abstract ] [ at journal ]

Decision support for the initial triage of patients with acute myocardial infarction
S-E. Olsson, M. Ohlsson, H. Öhlin, S. Dzaferagic, M-L. Nilsson, P. Sandkull and L. Edenbrandt
Clinical Physiology and Functional Imaging 26:3, 151-156 (2006)
[ abstract ] [ doi link ]

Toward Personal eHealth in Cardiology. Results From the EPI-MEDICS Telemedicine project
P. Rubel, J. Fayn, G. Nollo, D. Assanelli, B. Li, L. Restier, S. Adami, S. Arod, H. Atoui, M. Ohlsson, L. Simon-Chautemps, D. Telisson, C. Malossi, G-L. Ziliani, A. Galassi, L. Edenbrandt and P. Chevalier
Journal of Electrocardiology 38:4, 100-106 (2005)
[ abstract ] [ doi link ]

Interpretation of Captopril Renography Using Artificial Neural Networks
M. Nielsen, G. Granerus, M. Ohlsson, H. Holst, O. Thorsson and L. Edenbrandt
Clinical Physiology and Functional Imaging 25:5, 293-296 (2005)
[ abstract ] [ doi link ]

Regional Cerebral Blood Flow in Alzheimer's Disease: Classification and Analysis of Heterogeneity
S. Warkentin, M. Ohlsson, P. Wollmer, L. Edenbrandt and L. Minthon
Dementia and Geriatric Cognitive Disorders 17, 204-217 (2004)
[ abstract ] [ doi link ]

WeAidU - A Decision Support System for Myocardial Perfusion Images Using Artificial Neural Networks
M. Ohlsson
Artificial Intelligence in Medicine 30, 49-60 (2004)
[ abstract ] [ doi link ]

Detecting Acute Myocardial Infarction in the 12-lead ECG using Hermite Expansions and Neural Networks
H. Haraldsson, L. Edenbrandt and M. Ohlsson
Artificial Intelligence in Medicine 32, 127-136 (2004)
[ abstract ] [ doi link ]

Matching Protein Structures with Fuzzy Alignments
R. Blankenbecler, M. Ohlsson, C. Peterson and M. Ringnér
Proceedings of the National Academy of Sciences 100, 11936-11940 (2003)
[ abstract ] [ doi link ]

Role of Ventilation Scintigraphy in Diagnosis of Acute Pulmonary Embolism: An Evaluation Using Artificial Neural Networks
E. Evander, H. Holst, A. Järund, M. Ohlsson, P. Wollmer, K. Åström and L. Edenbrandt
European Journal of Nuclear Medicine and Molecular Imaging 30:7, 961-965 (2003)
[ abstract ] [ doi link ]

Neural Networks - a Diagnostic Tool in Acute Myocardial Infarction with Concomitant Left Bundle Branch Block
S-E. Olsson, M. Ohlsson, H. Öhlin and L. Edenbrandt
Clinical Physiology and Functional Imaging 22:4, 295-299 (2002)
[ abstract ] [ doi link ]

A Novel Approach to Local Reliability of Sequence Alignments
M. Schlosshauer and M. Ohlsson
Bioinformatics 18, 847-854 (2002)
[ abstract ] [ doi link ]

Value of Exercise Data for the Interpretation of Myocardial Perfusion SPECT
H. Haraldsson, M. Ohlsson and L. Edenbrandt
Journal of Nuclear Medicine 9:2, 169-173 (2002)
[ abstract ] [ doi link ]

Usefulness of Serial Electrocardiograms for Diagnosis of Acute Myocardial Infarction
M. Ohlsson, H. Öhlin, S. Wallerstedt and L. Edenbrandt
The American Journal of Cardiology 88:5, 478-481 (2001)
[ abstract ] [ doi link ]

The Optimal Reference Population for Cardiac Normality in Myocardial SPECT in the Detection of Coronary Artery Stenoses: Patients with Normal Coronary Angiography or Subjects with Low Likelihood of Coronary Artery Disease?
J.C. Toft, D. Lindahl, M. Ohlsson, J. Palmer, A. Lundin, L. Edenbrandt and B. Hesse
European Journal of Nuclear Medicine 28:7, 831-835 (2001)
[ abstract ] [ doi link ]

An Efficient Mean Field Approach to the Set Covering Problem
M. Ohlsson, C. Peterson and B. Söderberg
The European Journal of Operations Research 133, 583-595 (2001)
[ abstract ] [ pdf ] [ doi link ]

An Independent Evaluation of a New Method for Automated Interpretation of Lung Scintigrams Using Artificial Neural Networks
H. Holst, K. Måre, A. Järund, K. Åström, E. Evander, K. Tägil, M. Ohlsson and L. Edenbrandt
European Journal of Nuclear Medicine 28:1, 33-38 (2001)
[ abstract ] [ doi link ]

A Confident Decision Support System for Interpreting Electrocardiograms
H. Holst, M. Ohlsson, C. Peterson and L. Edenbrandt
Clinical Physiology 19:5, 410-418 (1999)
[ abstract ] [ pdf ] [ doi link ]

Intelligent Computer Reporting "Lack of Experience": - a Confidence Measure for Decision Support Systems
H. Holst, M. Ohlsson, C. Peterson and L. Edenbrandt
Clinical Physiology 18:2, 139-147 (1998)
[ abstract ] [ doi link ]

Automated Interpretation of Myocardial SPECT Perfusion Images Using Artificial Neural Networks
D. Lindahl, J. Palmer, M. Ohlsson, C. Peterson, A. Lundin and L. Edenbrandt
Journal of Nuclear Medicine 38:12, 1870-1875 (1997)
[ abstract ] [ pdf ]

A Study of the Mean Field Approach to Knapsack Problems
M. Ohlsson and H. Pi
Neural Networks 10, 263-271 (1997)
[ abstract ] [ pdf ] [ doi link ]

Detection of Frequently Overlooked Electrocardiographic Lead Reversals Using Artificial Neural Networks
B. Hedén, M. Ohlsson, H. Holst, M. Mjöman, O. Pahlm, R. Rittner, C. Peterson and L. Edenbrandt
The American Journal of Cardiology 78:5, 600-604 (1996)
[ abstract ] [ pdf ] [ doi link ]

Agreement Between Artificial Neural Networks and Experienced Electrocardiographer on Electrocardiographic Diagnosis of Healed Myocardial Infarction
B. Hedén, M. Ohlsson, R. Rittner, O. Pahlm, W.K. Haisty, C. Peterson and L. Edenbrandt
Journal of the American College of Cardiology 28:4, 1012-1016 (1996)
[ abstract ] [ pdf ] [ doi link ]

Artificial Neural Networks for Recognition of Electrocardiographic Lead Reversal
B. Hedén, M. Ohlsson, L. Edenbrandt, R. Rittner, O. Pahlm and C. Peterson
The American Journal of Cardiology 75:14, 929-933 (1995)
[ abstract ] [ pdf ] [ doi link ]

Finite-Size Scaling at Phase Coexistence
S. Gupta, A. Irbäck and M. Ohlsson
Nuclear Physics B409, 663-683 (1993)
[ abstract ] [ pdf ] [ doi link ]

Extensions and Explorations of the Elastic Arms Algorithm
M. Ohlsson
Computer Physics Communications 77, 19-32 (1993)
[ abstract ] [ pdf ] [ doi link ]

Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem
M. Ohlsson, C. Peterson and B. Söderberg
Neural Computation 5, 331-339 (1993)
[ abstract ] [ pdf ]

Track Finding with Deformable Templates - The Elastic Arms Approach
M. Ohlsson, C. Peterson and A. Yuille
Computer Physics Communications 71, 77-98 (1992)
[ abstract ] [ pdf ] [ doi link ]

Conference proceedings:

Variational auto-encoders with Student’s t-prior
Najmeh Abiri and Mattias Ohlsson
In The 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings (2019)
[ abstract ] [ pdf ]

Automatic Gleason grading of HE stained microscopic prostate images using deep convolutional neural networks
A. Gummeson, I. Arvidsson, M. Ohlsson, N. C. Overgaards, A. Krzyzanowska, A. Heyden, A. Bjartell and K. Åström
In SPIE Proceedings 10140 (2017)
pp. 101400S-101400S-7
(SPIE Medical Imaging Conference, Orlando, Florida, USA, Februari 2017)
[ doi link ]

Ensembles of genetically trained artificial neural networks for survival analysis
J. Kalderstam, P. Edén and M. Ohlsson
In The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Proceedings (2013)
[ pdf ]

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 and B. Koul
In Journal of Heart and Lung Transplantation 29 (2010)
pp. S69
(30th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation, Chicago, April 21-24, 2010)
[ doi link ]

Virtual Cross-Matching in Heart Transplantation: Large Scale Simulation of Survival after Heart Transplantation Using Artificial Neural Networks
J. Nilsson, M. Ohlsson, P. Höglund, B. Ekmehag and B. Koul
In Journal of Heart and Lung Transplantation 28 (2009)
pp. S231-S232
(29th Annual Meeting and Scientific Session of the International-Society-for-Heart-and-Lung-Transplantation, Paris, 2009)
[ doi link ]

Automated Decision Support for Bone Scintigraphy
M. Ohlsson, K. Sjöstrand, J. Richter, R. Kaboteh, M. Sadik and L. Edenbrandt
In 22nd IEEE International Symposium on Computer-Based Medical Systems (2009)
pp. 298-303
[ doi link ]

Statistical Regularization of Deformation Fields for Atlas-based Segmentation of Bone Scintigraphy Images
K. Sjöstrand, M. Ohlsson, J. Richter and L. Edenbrandt
In Medical Image Computing And Computer-Assisted Intervention - MICCAI 2009, PT I, Proceedings 5761 (2009)
pp. 664-671
[ doi link ]

Explaining artificial neural network ensembles: A case study with electrocardiograms from chest pain patients
M. Green, U. Ekelund, L. Edenbrandt, J. Björk, J. L. Foreberg and M. Ohlsson
In Proceedings of the 25th International Conference on Machine Learning (2008)
(eds. M. Hauskrecht)
[ abstract ] [ pdf ]

Comparison of standard resampling methods for performance estimation of artificial neural network ensembles
M. Green and M. Ohlsson
In Proceedings of Computational Intelligence in Medicine and Healthcare (CIMED) (2007)
(eds. E. Ifeachor)
[ abstract ] [ pdf ]

Detection of acute coronary syndromes in chest pain patients using neural network ensembles
M. Green, J. Björk, J. Hansen, U. Ekelund, L. Edenbrandt and M. Ohlsson
In Proceedings of Computational Intelligence in Medicine and Healthcare (CIMED) (2005)
pp. 182-187
[ abstract ] [ pdf ]

Protein structure alignment using mean field annealing
M. Ohlsson
In Proceedings of the WSEAS International Conference on Mathematical Biology and Ecology (2004)
(paper no. 488-208)
[ abstract ] [ pdf ]

New Paradigms in Telemedicine: Ambient Intelligence, Wearable, Pervasive and Personalized
Paul Rubel, J. Fayn, L. Simon-Chautemps, H. Atoui, M. Ohlsson, D. Telisson, S. Adami, S. Arod, M. C. Forlini, C. Malossi, J. Placide, G. L. Ziliani, D. Assanelli and P. Chevalier
In Studies in Health Technology and Informatics 108 (2004)
(eds. A. Lymberis and D. de Rossi)
pp. 123-132
[ abstract ] [ at journal ]

Pervasive self-care solutions in telecardiology. Typical use cases from the EPI-MEDICS project
F. Gouaux, L.S. Chautemps, J. Fayn, S. Adami, M. Arzi, D. Assanelli, M.C. Forlini, C. Malossi, A. Martinez, M. Ohlsson, J. Placide, G.L. Ziliani and P. Rubel
In Studies in Health Technology and Informatics 95 (2003)
(eds. R. Baud, M. Fieschi, P. Le Beux and P. Ruch)
pp. 119-124
[ abstract ]

Using Hidden Markov Models to Characterize Disease Trajectories
M. Ohlsson, C. Peterson and M. Dictor
In Proceedings of the Neural Networks and Expert Systems in Medicine and Healthcare Conference (2001)
(eds. G.M. Papadourakis)
pp. 324-326
[ abstract ] [ pdf ]

Case-Based Sensitivity Analysis for Artificial Neural Networks with Applications in Medicine
M. Ohlsson and L. Edenbrandt
In Proceedings of the Neural Networks and Expert Systems in Medicine and Healthcare Conference (2001)
(eds. G.M. Papadourakis)
pp. 102-106
[ abstract ] [ pdf ]

A New Artificial Neural Network Method for the Interpretation of ECGs
H. Holst, L. Edenbrandt, M. Ohlsson and H. Öhlin
In Proceedings of the Artificial Neural Networks in Medicine and Biology Conference (2000)
(eds. H. Malmgren, M. Borga and L. Niklasson)
pp. 186-191

Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks
M. Ohlsson, H. Holst and L. Edenbrandt
In Proceedings of the Artificial Neural Networks in Medicine and Biology Conference (2000)
(eds. H. Malmgren, M. Borga and L. Niklasson)
pp. 209-214
[ abstract ] [ pdf ]

Internet Based Artificial Neural Networks for the Interpretation of Medical Images
A. Järund, L. Edenbrandt, M. Ohlsson and E. Borälv
In Proceedings of the Artificial Neural Networks in Medicine and Biology Conference (2000)
(eds. H. Malmgren, M. Borga and L. Niklasson)
pp. 87-92
[ abstract ] [ pdf ]

WWW Based Service for Automated Interpretation of Diagnostic Images: The AIDI-Heart Project
M. Ohlsson, A. Järund and L. Edenbrandt
In Proceedings of High-Performance Computing and Networking (1999)
(eds. P. Sloot, M. Bubak, A. Hoekstra and B. Hertzberger)
pp. 941-950
[ abstract ] [ pdf ]

Active Surface Models for Brain Imaging
M. Ohlsson, P. Toft, L. K. Hansen and F. Å. Nielsen
In Proceedings of the Interdisciplinary Inversion Workshop 5 (1997)
(eds. B. H. Jacobsen)
pp. 68-77
[ abstract ] [ pdf ]

Design and Regularization of Neural Networks: The Optimal Use of A Validation Set
J. Larsen, L.K. Hansen, C. Svarer and M. Ohlsson
In Proceedings of the IEEE Workshop on Neural Networks for Signal Processing VI (1996)
(eds. S. Usui, Y. Tohkura, S. Katagiri and E. Wilson)
pp. 62-71
[ abstract ] [ pdf ] [ doi link ]

Misplacement of the Left Foot ECG Electrode Detected by Artificial Neural Networks
B. Hedén, M. Ohlsson, R. Rittner, O. Pahlm, C. Peterson and L. Edenbrandt
In Computers in Cardiology (1995)
pp. 225-228
[ abstract ] [ pdf ] [ doi link ]

Predicting System Loads with Artificial Neural Networks - Methods and Results from the "Great Energy Predictor Shootout"
M. Ohlsson, C. Petersen, H. Pi, T. Rögnvaldsson and B. Söderberg
In 1994 Annual Proceedings of the American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. 100 (1994)
pp. 1063-1074
[ abstract ] [ pdf ]

Unpublished reports:

A regression model for survival data using neural networks
J. Kalderstam, P. Edén, J. Nilsson and M. Ohlsson
LU TP 15-08 (2015)

A Fuzzy Matching Approach to Multiple Structure Alignment of Proteins
H. Haraldsson and M. Ohlsson
LU TP 03-17 (2003)
[ abstract ] [ pdf ]

A New Learning Scheme for Neural Network Ensembles
H. Haraldsson and M. Ohlsson
LU TP 02-04 (2002)
[ abstract ] [ pdf ]

A Novel Approach to Structure Alignment
M. Ohlsson, M. Rignér, C. Peterson and R. Blankenbecler
LU TP 00-07 (2000)
[ abstract ] [ pdf ]

High Specificity - a Necessity for Automated Detection of Lead Reversals in the 12-lead ECG
M. Ohlsson, B. Hedén and L. Edenbrandt
LU TP 99-24 (1999)
[ abstract ] [ pdf ]

Clustering Noisy Data with Deterministic Annealing
M. Ohlsson
LU TP 93-28 (1993)
[ abstract ] [ pdf ]

Thesis:

Artificial Neural Networks and Combinatorial Optimization
Mattias Ohlsson
Department of Theoretical Physics, Lund University, Sweden, 1995

This page was created in 1998.
Available at http://cbbp.thep.lu.se/~mattias/publications/index.html.
Latest update: March 17, 2022.

©1998-2022 Mattias Ohlsson