Mattias Ohlsson
Lunds Universitet
H-index: 40
Europe-Sweden
Top articles of Mattias Ohlsson
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
The skåne emergency medicine (SEM) cohort | Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | Ulf Ekelund Bodil Ohlsson Olle Melander Jonas Björk Mattias Ohlsson | 2024 |
How does an AI diagnose dyspnoea in ED triage without human guidance? | Ellen Tolestam Heyman Awais Ashfaq Ulf Ekelund Mattias Ohlsson Jonas Björk | 2024/3/20 | |
Improving Concordance Index in Regression-based Survival Analysis: Discovery of Loss Function for Neural Networks | Mohammed Ghaith Altarabichi Abdallah Alabdallah Sepideh Pashami Mattias Ohlsson Thorsteinn Rögnvaldsson | 2024 | |
TOO-BERT: A Trajectory Order Objective BERT for self-supervised representation learning of temporal healthcare data | Ali Amirahmadi Farzaneh Etminani Jonas Bjork Olle Melander Mattias Ohlsson | 2024/3/5 | |
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients | Journal of Electrocardiology | Axel Nyström Pontus Olsson de Capretz Anders Björkelund Jakob Lundager Forberg Mattias Ohlsson | 2024/1/1 |
A Masked language model for multi-source EHR trajectories contextual representation learning | arXiv preprint arXiv:2402.06675 | Ali Amirahmadi Mattias Ohlsson Kobra Etminani Olle Melander Jonas Björk | 2024/2/7 |
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models | Artificial Intelligence in Medicine | Abdallah Alabdallah Mattias Ohlsson Sepideh Pashami Thorsteinn Rögnvaldsson | 2024/2/1 |
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast … | BMC cancer | Ida Skarping Julia Ellbrant Looket Dihge Mattias Ohlsson Linnea Huss | 2024/1/16 |
Abstract PO2-07-03: Retrospective Validation Study of an Artificial Neural Network-Based Preoperative Decision-Support Tool for Noninvasive Lymph Node Staging (NILS) in Women … | Cancer Research | Ida Skarping Julia Ellbrant Looket Dihge Mattias Ohlsson Linnea Huss | 2024/5/2 |
Deep learning prediction models based on EHR trajectories: A systematic review | Ali Amirahmadi Mattias Ohlsson Kobra Etminani | 2023/6/26 | |
Noninvasive Staging of Lymph Node Status (NILS) in Breast Cancer using Machine Learning: External Validation and Further Model Development | medRxiv | M Hjärtström L Dihge PO Bendahl I Skarping J Ellbrant | 2023/2/14 |
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset | Ellen Tolestam Heyman Awais Ashfaq Ulf Ekelund Mattias Ohlsson Jonas Björk | 2023/5/31 | |
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 and decision making | Pontus Olsson de Capretz Anders Björkelund Jonas Björk Mattias Ohlsson Arash Mokhtari | 2023/2/2 |
Investigating ancient agricultural field systems in Sweden from airborne LIDAR data by using convolutional neural network | Archaeological Prospection | Melda Küçükdemirci Giacomo Landeschi Mattias Ohlsson Nicolo Dell'Unto | 2023/4 |
Understanding Survival Models through Counterfactual Explanations | Abdallah Alabdallah Jakub Jakubowski Sepideh Pashami Szymon Bobek Mattias Ohlsson | 2023 | |
Abstract P5-01-08: Steps toward noninvasive lymph node staging (NILS) in clinically node negative patients: Artificial neural network model to preoperatively predict … | Cancer Research | Malin Hjärtström Looket Dihge Pär-Ola Bendahl Mattias Ohlsson Lisa Rydén | 2023/3/1 |
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning: External Validation and Further Model Development | JMIR cancer | Malin Hjärtström Looket Dihge Pär-Ola Bendahl Ida Skarping Julia Ellbrant | 2023/11/20 |
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department | Ellen Tolestam Heyman Awais Ashfaq Ulf Ekelund Mattias Ohlsson Jonas Björk | 2023 | |
A machine learning model for prediction of 30-day primary graft failure after heart transplantation | Heliyon | Björn Linse Mattias Ohlsson Josef Stehlik Lars H Lund Bodil Andersson | 2023/3/1 |
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks | Hamid Sarmadi Thorsteinn Rögnvaldsson Nils Roger Carlsson Mattias Ohlsson Ibrahim Wahab | 2023/10/9 |
Co-Authors
