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- 2025
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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)
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Mark
Late-Onset Asthma Phenotypes by Onset Age : A Cluster Analysis in Swedish Population-Based Cohorts
(
- Contribution to journal › Letter
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Mark
Advances in machine learning for the detection and characterization of microplastics in the environment
(
- Contribution to journal › Scientific review
- 2024
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Mark
BioEncoder : A metric learning toolkit for comparative organismal biology
(
- Contribution to journal › Article
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Mark
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance
(
- Contribution to journal › Article
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Mark
Random effects during training : Implications for deep learning-based medical image segmentation
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- Contribution to journal › Article
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Mark
Space tourism : Value-attitude-behavior theory, artificial intelligence, and sustainability
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- Contribution to journal › Article
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Mark
A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models
2024) 8th International Conference on Engineering of Computer-Based Systems, ECBS 2023 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14390 LNCS. p.259-262(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer
(
- Contribution to journal › Article
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Mark
Novel radiological approaches for diagnosis and treatment of diseases in the pelvic region. Applications in the uterus and the prostate.
2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)