| 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 | 328 | 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 | 218 | 2012 |
| 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 |
| 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 | 160 | 2006 |
| Track finding with deformable templates—the elastic arms approach M Ohlsson, C Peterson, AL Yuille Computer Physics Communications 71 (1-2), 77-98, 1992 | 159 | 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 | 137 | 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 | 130 | 2004 |
| Neural networks for optimization problems with inequality constraints: the knapsack problem M Ohlsson, C Peterson, B Söderberg neural computation 5 (2), 331-339, 1993 | 128 | 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 | 126 | 2006 |
| 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 | 126 | 1996 |
| 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 | 122 | 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 | 117 | 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 | 96 | 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 | 88 | 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 | 82 | 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 | 78 | 1994 |
| 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 | 76 | 2015 |
| Detection of frequently overlooked electrocardiographic lead reversals using artificial neural networks B Hedén, M Ohlsson, H Holst, M Mjöman, R Rittner, O Pahlm, C Peterson, ... The American journal of cardiology 78 (5), 600-604, 1996 | 74 | 1996 |
| 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 | 72 | 2018 |
Carsten PetersonProfessor, Computational Biology, Theoretical Physics, Lund University在 thep.lu.se 的电子邮件经过验证
