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- 2024
-
Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
Skarping, Ida LU
; Ellbrant, Julia
LU
; Dihge, Looket
LU
; Ohlsson, Mattias
LU
; Huss, Linnea
LU
; Bendahl, Pär Ola
LU
and Rydén, Lisa
LU
(2024)
In BMC Cancer
24(1).
- Contribution to journal › Article
-
Mark
Surveillance of Disease Outbreaks Using Unsupervised Uni-Multivariate Anomaly Detection of Time-Series Symptoms
Hashemi, Atiye Sadat LU ; Ghazani, Mirfarid Musavian LU ; Ohlsson, Mattias LU
; Björk, Jonas
LU
and Dietler, Dominik
LU
(2024)
34th Medical Informatics Europe Conference, MIE 2024
In Studies in Health Technology and Informatics
316.
p.1916-1920
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Human bias and CNNs’ superior insights in satellite based poverty mapping
Sarmadi, Hamid ; Wahab, Ibrahim LU ; Hall, Ola LU ; Rögnvaldsson, Thorsteinn and Ohlsson, Mattias LU
(2024)
In Scientific Reports
14.
- Contribution to journal › Article
-
Mark
TARGET : A Major European Project Aiming to Advance the Personalised Management of Atrial Fibrillation-Related Stroke via the Development of Health Virtual Twins Technology and Artificial Intelligence
Ortega-Martorell, Sandra ; Olier, Ivan ; Ohlsson, Mattias LU
and Lip, Gregory Y.H.
(2024)
In Thrombosis and Haemostasis
125(1).
p.7-11
- Contribution to journal › Article
-
Mark
A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
Heyman, Ellen T. LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2024)
In PLoS ONE
19(12).
- Contribution to journal › Article
-
Mark
The Concordance Index decomposition : A measure for a deeper understanding of survival prediction models
Alabdallah, Abdallah ; Ohlsson, Mattias LU
; Pashami, Sepideh
and Rögnvaldsson, Thorsteinn
(2024)
In Artificial Intelligence in Medicine
148.
- Contribution to journal › Article
- 2023
-
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
-
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
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
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