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- 2025
-
Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
Zhang, Daqu LU ; Dihge, Looket LU ; Bendahl, Pär-Ola LU ; Arvidsson, Ida LU
; Dustler, Magnus
LU
; Ellbrant, Julia
LU
; Gulis, Kim
LU
; Hjärtström, Malin
LU
; Ohlsson, Mattias
LU
and Rejmer, Cornelia
LU
, et al.
(2025)
In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
- 2024
-
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
-
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
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
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
How does an AI diagnose dyspnoea in ED triage without human guidance?
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Khoshnood, Ardavan M.
LU
and Lingman, Markus
(2024)
Swedish Emergency Medicine Talks - SWEETS24
- Contribution to conference › Poster
-
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
Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients
Nyström, Axel LU ; Olsson de Capretz, Pontus LU ; Björkelund, Anders LU ; Lundager Forberg, Jakob LU ; Ohlsson, Mattias LU
; Björk, Jonas
LU
and Ekelund, Ulf
LU
(2024)
In Journal of Electrocardiology
82.
p.42-51
- Contribution to journal › Article
-
Mark
The skåne emergency medicine (SEM) cohort
Ekelund, Ulf LU
; Ohlsson, Bodil
LU
; Melander, Olle
LU
; Björk, Jonas
LU
; Ohlsson, Mattias
LU
; Forberg, Jakob Lundager
LU
; de Capretz, Pontus Olsson
LU
; Nyström, Axel
LU
and Björkelund, Anders
LU
(2024)
In Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
32.
p.1-8
- Contribution to journal › Article
- 2023
-
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