Mattias Ohlsson

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 22

Top Topics

Machine Learning

Acute Myocardial Infarction

Top Venues

Artif. Intell. Medicine

Int. J. Medical Informatics

Publications

Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models. Artif. Intell. Medicine 148 (2024)
Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami
CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis. CoRR (2024)
Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Grzegorz J. Nalepa
Understanding Survival Models Through Counterfactual Explanations. ICCS (4) (2024)
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk
A Masked language model for multi-source EHR trajectories contextual representation learning. CoRR (2024)
Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson
Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks. GECCO Companion (2024)
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani, Olle Melander, Jonas Björk
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning. MIE (2023)
Pontus Olsson de Capretz, Anders Björkelund, Jonas Björk, Mattias Ohlsson, Arash Mokhtari, Axel Nyström, Ulf Ekelund
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation. BMC Medical Informatics Decis. Mak. 23 (1) (2023)
Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. CoRR (2023)
Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks. DSAA (2023)
Ali Amirahmadi, Mattias Ohlsson, Kobra Etminani
Deep learning prediction models based on EHR trajectories: A systematic review. J. Biomed. Informatics 144 (2023)
Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson
The Concordance Index decomposition: a measure for a deeper understanding of survival prediction models. CoRR (2022)
Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain. CoRR (2022)
Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson
SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP. DSAA (2022)
Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain. Patterns 3 (10) (2022)
Jennifer David, Thorsteinn S. Rögnvaldsson, Bo Söderberg, Mattias Ohlsson
Deterministic annealing with Potts neurons for multi-robot routing. Intell. Serv. Robotics 15 (3) (2022)
Najmeh Abiri, Mattias Ohlsson
Variational auto-encoders with Student's t-prior. CoRR (2020)
Alexander Galozy, Slawomir Nowaczyk, Mattias Ohlsson
Corrupted Contextual Bandits with Action Order Constraints. CoRR (2020)
Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems. CoRR (2020)
Alexander Galozy, Slawomir Nowaczyk, Anita Pinheiro Sant'Anna, Mattias Ohlsson, Markus Lingman
Pitfalls of medication adherence approximation through EHR and pharmacy records: Definitions, data and computation. Int. J. Medical Informatics 136 (2020)
Najmeh Abiri, Mattias Ohlsson
Variational auto-encoders with Student's t-prior. ESANN (2019)
Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems. Neurocomputing 365 (2019)
Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Anders Heyden, Anders Bjartell, Kalle Åström
Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks. Medical Imaging: Digital Pathology (2017)
Jonas Kalderstam, May Sadik, Lars Edenbrandt, Mattias Ohlsson
Analysis of regional bone scan index measurements for the survival of patients with prostate cancer. BMC Medical Imaging 14 (2014)
Jonas Kalderstam, Patrik Edén, Pär-Ola Bendahl, Carina Strand, Mårten Fernö, Mattias Ohlsson
Training artificial neural networks directly on the concordance index for censored data using genetic algorithms. Artif. Intell. Medicine 58 (2) (2013)
Jonas Kalderstam, Patrik Edén, Mattias Ohlsson
Ensembles of genetically trained artificial neural networks for survival analysis. ESANN (2013)
Jose Teles, Cristina Pina, Patrik Edén, Mattias Ohlsson, Tariq Enver, Carsten Peterson
Transcriptional Regulation of Lineage Commitment - A Stochastic Model of Cell Fate Decisions. PLoS Comput. Biol. 9 (8) (2013)
Matilda Landgren, Karl Sjöstrand, Mattias Ohlsson, Daniel Ståhl, Niels Chr. Overgaard, Kalle Åström, Rune Sixt, Lars Edenbrandt
An Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images. SCIA (2011)
Mattias Ohlsson, Reza Kaboteh, May Sadik, Madis Suurkula, Milan Lomsky, Peter Gjertsson, Karl Sjöstrand, Jens Richter, Lars Edenbrandt
Automated decision support for bone scintigraphy. CBMS (2009)
Karl Sjöstrand, Mattias Ohlsson, Lars Edenbrandt
Statistical Regularization of Deformation Fields for Atlas-Based Segmentation of Bone Scintigraphy Images. MICCAI (1) (2009)
Michael Green, Ulf Ekelund, Lars Edenbrandt, Jonas Björk, Jakob Lundager Forberg, Mattias Ohlsson
Exploring new possibilities for case-based explanation of artificial neural network ensembles. Neural Networks 22 (1) (2009)
Jonas Björk, Jakob Lundager Forberg, Mattias Ohlsson, Lars Edenbrandt, Hans Öhlin, Ulf Ekelund
A simple statistical model for prediction of acute coronary syndrome in chest pain patients in the emergency department. BMC Medical Informatics Decis. Mak. 6 (2006)
Michael Green, Jonas Björk, Jakob Lundager Forberg, Ulf Ekelund, Lars Edenbrandt, Mattias Ohlsson
Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room. Artif. Intell. Medicine 38 (3) (2006)
Mattias Ohlsson
WeAidU - a decision support system for myocardial perfusion images using artificial neural networks. Artif. Intell. Medicine 30 (1) (2004)
Henrik Haraldsson, Lars Edenbrandt, Mattias Ohlsson
Detecting acute myocardial infarction in the 12-lead ECG using Hermite expansions and neural networks. Artif. Intell. Medicine 32 (2) (2004)
Flore Gouaux, Lucas Simon Chautemps, Jocelyne Fayn, Stefano Adami, Mohammad Arzi, Deodato Assanelli, Marie-Claire Forlini, Cesare Malossi, Antonio Martinez, Mattias Ohlsson, Joël Placide, Gian-Luca Ziliani, Paul Rubel
Pervasive Self-Care Solutions in Telecardiology. Typical use cases from the EPI-MEDICS project. MIE (2003)
Maximilian Schlosshauer, Mattias Ohlsson
A novel approach to local reliability of sequence alignments. Bioinform. 18 (6) (2002)
Mattias Ohlsson, Carsten Peterson, Bo Söderberg
An efficient mean field approach to the set covering problem. Eur. J. Oper. Res. 133 (3) (2001)
Holger Holst, Lars Edenbrandt, Mattias Ohlsson, Hans Öhlin
A New Artificial Neural Network Method for the Interpretation of ECGs. ANNIMAB (2000)
Andreas Järund, Lars Edenbrandt, Mattias Ohlsson, Erik Borälv
Internet Based Artificial Neural Networks for the Interpretation of Medical Images. ANNIMAB (2000)
Mattias Ohlsson, Holger Holst, Lars Edenbrandt
Acute Myocardial Infarction: Analysis of the ECG Using Artificial Neural Networks. ANNIMAB (2000)
Mattias Ohlsson, Andreas Järund, Lars Edenbrandt
WWW Based Service for Automated Interpretation of Diagnostic Imgages: The AIDI-Heart Project. HPCN Europe (1999)
Mattias Ohlsson, Carsten Peterson, Bo Söderberg
An Efficient Mean Field Approach to the Set Covering Problem CoRR (1999)
Mattias Ohlsson, Hong Pi
A Study of the Mean Field Approach to Knapsack Problems. Neural Networks 10 (2) (1997)
Mattias Ohlsson, Carsten Peterson, Bo Söderberg
Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem. Neural Comput. 5 (2) (1993)