Mattias Ohlsson
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- 2011
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Mark
Clinical data do not improve artificial neural network interpretation of myocardial perfusion scintigraphy.
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- Contribution to journal › Article
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Mark
Prediction of Severe Acute Pancreatitis at Admission to Hospital Using Artificial Neural Networks.
(
- Contribution to journal › Article
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Mark
An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Diagnostic evaluation of three cardiac software packages using a consecutive group of patients
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- Contribution to journal › Article
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Mark
Electrocardiograms of men and women with suspected acute coronary syndrome in the ED
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- Contribution to conference › Abstract
- 2010
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Mark
Artificial Neural Networks - A Method for Optimal. Donor-Recipient Matching. Large Scale Simulation of Survival after Heart Transplantation
2010) 30th Annual Meeting and Scientific Sessions of the International-Society-for-Heart-and-Lung-Transplantation In Journal of Heart and Lung Transplantation 29(2 Suppl. 1). p.29-29(
- Contribution to journal › Published meeting abstract
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Mark
Pre-treatment Bone Scan Index as an Outcome Measure Predicting for Survival in Patients with Castration-Refractory Prostate Cancer
2010) 23rd Annual Congress of the European-Association-of-Nuclear-Medicine (EANM) In European Journal of Nuclear Medicine and Molecular Imaging 37. p.270-270(
- Contribution to journal › Published meeting abstract
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Mark
Genetic profiles of gastroesophageal cancer: combined analysis using expression array and tiling array-comparative genomic hybridization
(
- Contribution to journal › Article
- 2009
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Mark
In search of the best method to predict acute coronary syndrome using only the electrocardiogram from the emergency department.
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- Contribution to journal › Article
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Mark
Automated Decision Support for Bone Scintigraphy
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding