Mattias Ohlsson

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Carsten PetersonProfessor, Computational Biology, Theoretical Physics, Lund UniversityVerified email at thep.lu.se
Peter HöglundClinical Pharmacology, Lund UniversityVerified email at med.lu.se
Ulf EkelundLund UniversityVerified email at med.lu.se
Johan NilssonTranslantional Medicin, Thoracic surgery and bioinformatics, Lund universityVerified email at med.lu.se
Michael GreenDesupervisedVerified email at desupervised.io
Thorsteinn RögnvaldssonProfessor of Computer Science, Halmstad UniversityVerified email at hh.se
Ardavan M. KhoshnoodDepartment of Clinical Sciences, Lund UniversityVerified email at med.lu.se
Fredrik KahlProfessor, Chalmers University of TechnologyVerified email at chalmers.se
Oskar HanssonProfessor of Neurology, Lund UniversityVerified email at med.lu.se
Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerified email at maths.lth.se
Markus RingnérScience for Life Laboratory and Lund UniversityVerified email at scilifelab.se
Jonas KalderstamComputational Biology and Biological Physics, Lund University, SwedenVerified email at thep.lu.se
Jose TelesPostodoctoral researcher, Sainsbury Laboratory Cambridge UniversityVerified email at slcu.cam.ac.uk
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Aseem Undvall Anandmemorial sloan kettering cancer center, Lund UniversityVerified email at mskcc.org
Jan LarsenTechnical University of Denmark, DTU ComputeVerified email at dtu.dk
Anders CarlssonCEO BionamicVerified email at bionamic.io
Åke BorgDepartment of Oncology, Clinical Sciences, Lund University, SwedenVerified email at med.lu.se
Finn Årup NielsenAssociate Professor, DTU Compute, Technical University of DenmarkVerified email at imm.dtu.dk
Johan StaafDepartment of Oncology, Clinical Sciences, Lund University, SwedenVerified email at med.lu.se

Mattias Ohlsson

Professor, Computational Biology and Biological Physics, Lund University, Sweden

Verified email at cec.lu.se - Homepage

Machine Learning Neural Networks Deep Learning


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Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease S Palmqvist, H Zetterberg, N Mattsson, P Johansson, L Minthon, ... Neurology 85 (14), 1240-1249, 2015	357	2015
A novel automated platform for quantifying the extent of skeletal tumour involvement in prostate cancer patients using the Bone Scan Index D Ulmert, R Kaboteh, JJ Fox, C Savage, MJ Evans, H Lilja, ... European urology 62 (1), 78-84, 2012	222	2012
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room M Green, J Forberg, L Edenbrandt, M Ohlsson Artificial Intelligence in Medicine 38 (3), 305-318, 2006	168	2006
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, ... Journal of electrocardiology 38 (4), 100-106, 2005	168	2005
Track finding with deformable templates—the elastic arms approach M Ohlsson, C Peterson, AL Yuille Computer Physics Communications 71 (1-2), 77-98, 1992	160	1992
Computer-assisted interpretation of planar whole-body bone scans M Sadik, I Hamadeh, P Nordblom, M Suurkula, P Höglund, M Ohlsson, ... Journal of Nuclear Medicine 49 (12), 1958-1965, 2008	156	2008
Evaluation of a previously suggested plasma biomarker panel to identify Alzheimer's disease M Björkqvist, M Ohlsson, L Minthon, O Hansson PloS one 7 (1), e29868, 2012	145	2012
Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks H Haraldsson, L Edenbrandt, M Ohlsson Artificial intelligence in medicine 32 (2), 127-136, 2004	133	2004
Design and regularization of neural networks: the optimal use of a validation set J Larsen, LK Hansen, C Svarer, M Ohlsson Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE …, 1996	132	1996
Neural networks for optimization problems with inequality constraints: the knapsack problem M Ohlsson, C Peterson, B Söderberg neural computation 5 (2), 331-339, 1993	129	1993
Risk factor identification and mortality prediction in cardiac surgery using artificial neural networks J Nilsson, M Ohlsson, L Thulin, P Höglund, SAM Nashef, J Brandt The Journal of thoracic and cardiovascular surgery 132 (1), 12-19. e1, 2006	128	2006
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, ... Proceedings of the National Academy of Sciences 108 (34), 14252-14257, 2011	126	2011
Prediction of severe acute pancreatitis at admission to hospital using artificial neural networks B Andersson, R Andersson, M Ohlsson, J Nilsson Pancreatology 11 (3), 328-335, 2011	121	2011
A new computer-based decision-support system for the interpretation of bone scans M Sadik, D Jakobsson, F Olofsson, M Ohlsson, M Suurkula, L Edenbrandt Nuclear Medicine Communications 27 (5), 417-423, 2006	97	2006
WeAidU—a decision support system for myocardial perfusion images using artificial neural networks M Ohlsson Artificial Intelligence in Medicine 30 (1), 49-60, 2004	90	2004
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, B Andersson PloS one 10 (3), e0118644, 2015	87	2015
Predicting System Loads with Artificial Neural Networks--Methods and Results from" The Great Energy Predictor Shootout" MBO Ohlsson, CO Peterson, H Pi, TS Rognvaldsson, BPW Soderberg ASHRAE Transactions-American Society of Heating Refrigerating …, 1994	79	1994
Improving prediction of heart transplantation outcome using deep learning techniques D Medved, M Ohlsson, P Höglund, B Andersson, P Nugues, J Nilsson Scientific reports 8 (1), 3613, 2018	78	2018
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, ... Cell reports 11 (10), 1503-1510, 2015	77	2015
A confident decision support system for interpreting electrocardiograms H Holst, M Ohlsson, C Peterson, L Edenbrandt Clinical Physiology 19 (5), 410-418, 1999	74	1999

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