Computational Science for Health and Environment
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- 2025
-
Mark
Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, Ellen LU
; Ashfaq, Awais
; Ekelund, Ulf
LU
; Ohlsson, Mattias
LU
; Björk, Jonas
LU
; Schubert, Alexander Marcel
; Lingman, Markus
and Khoshnood, Ardavan M.
LU
(2025)
In International Journal of Medical Informatics
202(October 2025).
- Contribution to journal › Article
-
Mark
Synergistic effects of multiple “good agricultural practices” for promoting organic carbon in soils : A systematic review of long-term experiments
López i Losada, Raül LU
; Hedlund, Katarina
LU
; Haddaway, Neal Robert
; Sahlin, Ullrika
LU
; Jackson, Louise E.
; Kätterer, Thomas
; Lugato, Emanuele
; Jørgensen, Helene B.
LU
and Isberg, Per Erik
LU
(2025)
In Ambio
- Contribution to journal › Scientific review
-
Mark
A spectroscopy-based machine learning framework on photoacoustic imaging data for automatic 3D delineation of melanoma tumors
Merdasa, Aboma LU
; Fracchia, Alice
; Stridh, Magne
LU
; Hult, Jenny
LU
; Andersson, Emil
LU
; Edén, Patrik
LU
; Olariu, Victor
LU
and Malmsjö, Malin
LU
(2025)
Photons Plus Ultrasound: Imaging and Sensing 2025
In Progress in Biomedical Optics and Imaging - Proceedings of SPIE
13319.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Stained DNA Dot Detection (SD3) : An automated tool for quantifying fluorescent features along single stretched DNA molecules
- Contribution to journal › Article
-
Mark
Effects of pre-treatment on characterization of microplastics in biosolids via optical photothermal infrared spectroscopy
Bertoldi, Crislaine LU
; Pucetaite, Milda
LU
; Hansson, Maria C.
LU
; Troein, Carl
LU
and van Praagh, Martijn
LU
(2025)
In Journal of Hazardous Materials
496.
- Contribution to journal › Article
-
Mark
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
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 npj Digital Medicine
8(1).
- Contribution to journal › Article
-
Mark
Predicting adverse cardiac events at the emergency department : A deep learning approach
(2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
-
Mark
Advancing personalised care in atrial fibrillation and stroke : The potential impact of AI from prevention to rehabilitation
Ortega-Martorell, Sandra LU ; Olier, Ivan ; Ohlsson, Mattias LU
and Lip, Gregory Y.H.
(2025)
In Trends in Cardiovascular Medicine
35(4).
p.205-211
- Contribution to journal › Scientific review
-
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
-
Mark
Immune Response in Triple-Negative Breast Cancer - Machine Learning-based Insights from Histology and -Omics
- Thesis › Doctoral thesis (compilation)