Mattias Ohlsson
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- 2023
-
Mark
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
Kucukdemirci, Melda LU ; Landeschi, Giacomo LU ; Ohlsson, Mattias LU
and Dell'Unto, Nicolo
LU
(2023)
In Archaeological Prospection
30(2).
p.209-219
- Contribution to journal › Article
-
Mark
Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2023)
European Emergency Medicine Congress 2023
- Contribution to conference › Poster
-
Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
Dihge, Looket LU ; Bendahl, Pär Ola LU ; Skarping, Ida LU
; Hjärtström, Malin
LU
; Ohlsson, Mattias
LU
and Rydén, Lisa
LU
(2023)
In Frontiers in Oncology
13.
- Contribution to journal › Article
-
Mark
Deep learning prediction models based on EHR trajectories : A systematic review
Amirahmadi, Ali ; Ohlsson, Mattias LU
and Etminani, Kobra
(2023)
In Journal of biomedical informatics
144.
- Contribution to journal › Scientific review
-
Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
de Capretz, Pontus Olsson LU ; Björkelund, Anders LU ; Björk, Jonas LU
; Ohlsson, Mattias
LU
; Mokhtari, Arash
LU
; Nyström, Axel
LU
and Ekelund, Ulf
LU
(2023)
In BMC Medical Informatics and Decision Making
23(1).
- Contribution to journal › Article
-
Mark
A machine learning model for prediction of 30-day primary graft failure after heart transplantation
Linse, Björn LU ; Ohlsson, Mattias LU
; Stehlik, Joseph
; Lund, Lars H.
; Andersson, Bodil
LU
and Nilsson, Johan
LU
(2023)
In Heliyon
9(3).
- Contribution to journal › Article
-
Mark
Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Dahlén Holmqvist, Lina
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2023)
Swedish Emergency Medicine Talks - SWEETS23
- Contribution to conference › Poster
-
Mark
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
Amirahmadi, Ali ; Ohlsson, Mattias LU
; Etminani, Kobra
; Melander, Olle
LU
and Björk, Jonas
LU
(2023)
33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023
In Studies in Health Technology and Informatics
302.
p.609-610
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks
Sarmadi, Hamid ; Rognvaldsson, Thorsteinn ; Carlsson, Nils Roger LU ; Ohlsson, Mattias LU
; Wahab, Ibrahim
LU
and Hall, Ola
LU
(2023)
10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023
In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Delayed traumatic intracranial haemorrhage : The prevalence is very low in patients on oral anticoagulation
André, Lars ; Björkelund, Anders LU ; Ekelund, Ulf LU
; Vedin, Tomas
LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
and Lundager Forberg, Jakob
LU
(2022)
Swedish Emergency Medicine Talks 2022
- Contribution to conference › Poster