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- 2024
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Mark
Identifying mobility segments for leisure travel : A cluster analysis based on a one-month travel survey
(
- Contribution to journal › Article
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Mark
Bacterial community characterization by deep learning aided image analysis in soil chips
(
- Contribution to journal › Article
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Mark
Zero-Shot Segmentation of Eye Features Using the Segment Anything Model (SAM)
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- Contribution to journal › Article
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Mark
Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation
2024) Medical Imaging 2024: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 12925.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
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Mark
Integrating Color Deconvolution Thresholding and Weakly Supervised Learning for Automated Segmentation of Neurofibrillary Tangle and Neuropil Threads
2023) Medical Imaging 2023: Digital and Computational Pathology In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 12471.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury
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- Contribution to journal › Article
- 2022
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Mark
Analytical performance of aPROMISE : automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized reporting
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- Contribution to journal › Article
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Mark
Risky and anxious-aggressive drivers : A key barrier to traffic safety legislation in Germany
(
- Contribution to journal › Article
- 2021
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Mark
Soft measures to shift modality
2021) In Bulletin - Lund University, Faculty of Engineering, Department of Technology and Society(
- Thesis › Doctoral thesis (compilation)
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Mark
AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients
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- Contribution to journal › Article
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Mark
Automated motion analysis of bony joint structures from dynamic computer tomography images : A multi-atlas approach
(
- Contribution to journal › Article
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Mark
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
(
- Contribution to journal › Article
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Mark
Ensemble of Deep Convolutional Neural Networks with Monte Carlo Dropout Sampling for Automated Image Segmentation Quality Control and Robust Deep Learning Using Small Datasets
2021) 25th Annual Conference on Medical Image Understanding and Analysis, MIUA 2021 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12722 LNCS. p.280-293(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Brain tissues have single-voxel signatures in multi-spectral MRI
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- Contribution to journal › Article
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Mark
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours
(
- Contribution to journal › Article
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Mark
Assessing Ribosome Distribution Along Transcripts with Polarity Scores and Regression Slope Estimates
(
- Chapter in Book/Report/Conference proceeding › Book chapter
- 2020
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Mark
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
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- Contribution to journal › Article
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Mark
Artificial intelligence in PET-CT. From Image Enhancement to Imaging Biomarkers.
2020) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Characterization of hippocampal subfields using ex vivo MRI and histology data : Lessons for in vivo segmentation
(
- Contribution to journal › Article
- 2019
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Mark
Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas
(
- Contribution to journal › Article