A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal $\left[^{18}\text{F}\right]$FDG PET imaging
Fuente:
arXiv
Saved in:
| Main Authors: | Salomonsen, Christian, Luppino, Luigi T, Aspheim, Fredrik, Wickstrøm, Kristoffer K., Wetzer, Elisabeth, Kampffmeyer, Michael C., Berzaghi, Rodrigo, Sundset, Rune, Jenssen, Robert, Kuttner, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [${}^{18}$F]FDG PET Images
by: Salomonsen, Christian, et al.
Published: (2025)
by: Salomonsen, Christian, et al.
Published: (2025)
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
by: Salomonsen, Christian, et al.
Published: (2025)
by: Salomonsen, Christian, et al.
Published: (2025)
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
by: Wickstrøm, Kristoffer, et al.
Published: (2025)
by: Wickstrøm, Kristoffer, et al.
Published: (2025)
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)
by: Wickstrøm, Kristoffer K., et al.
Published: (2024)
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
by: Thrun, Solveig, et al.
Published: (2025)
by: Thrun, Solveig, et al.
Published: (2025)
Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
by: Salahuddin, Suaiba Amina, et al.
Published: (2025)
by: Salahuddin, Suaiba Amina, et al.
Published: (2025)
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
by: Thrun, Solveig, et al.
Published: (2025)
by: Thrun, Solveig, et al.
Published: (2025)
Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net
by: Leffler, Klara, et al.
Published: (2025)
by: Leffler, Klara, et al.
Published: (2025)
Filling of incomplete sinograms from sparse PET detector configurations using a residual U‐Net
by: Klara Leffler, et al.
Published: (2026)
by: Klara Leffler, et al.
Published: (2026)
Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation
by: Østmo, Eirik A., et al.
Published: (2025)
by: Østmo, Eirik A., et al.
Published: (2025)
From Colors to Classes: Emergence of Concepts in Vision Transformers
by: Dorszewski, Teresa, et al.
Published: (2025)
by: Dorszewski, Teresa, et al.
Published: (2025)
FLEXtime: Filterbank learning to explain time series
by: Brüsch, Thea, et al.
Published: (2024)
by: Brüsch, Thea, et al.
Published: (2024)
Use of FDG ‐ PET in Balamuthia mandrillaris Amebic Encephalitis
by: Kristoffer E. Leon, et al.
Published: (2025)
by: Kristoffer E. Leon, et al.
Published: (2025)
NOFE - Neural Operator Function Embedding
by: Uebbing, Lars, et al.
Published: (2026)
by: Uebbing, Lars, et al.
Published: (2026)
FreqRISE: Explaining time series using frequency masking
by: Brüsch, Thea, et al.
Published: (2024)
by: Brüsch, Thea, et al.
Published: (2024)
Determination of unscaled blood input for human dynamic FDG brain PET
by: Terrell, William, et al.
Published: (2025)
by: Terrell, William, et al.
Published: (2025)
SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering
by: Singh, Durgesh, et al.
Published: (2025)
by: Singh, Durgesh, et al.
Published: (2025)
MITOCHONDRIAL GENES AND ISOPOD PHYLOGENY (PERACARIDA: ISOPODA)
by: Wetzer, R
Published: (2002)
by: Wetzer, R
Published: (2002)
From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation
by: Wickstrøm, Kristoffer, et al.
Published: (2024)
by: Wickstrøm, Kristoffer, et al.
Published: (2024)
Leveraging tensor kernels to reduce objective function mismatch in deep clustering
by: Trosten, Daniel J., et al.
Published: (2020)
by: Trosten, Daniel J., et al.
Published: (2020)
Supercm: Revisiting Clustering for Semi-Supervised Learning
by: Singh, Durgesh, et al.
Published: (2025)
by: Singh, Durgesh, et al.
Published: (2025)
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
by: Mancisidor, Rogelio A, et al.
Published: (2025)
by: Mancisidor, Rogelio A, et al.
Published: (2025)
First-Principle-Inspired Reduced-Order Models of Chemical-Kinetics in $\text{H}_2\left(\text{X}^1Σ_g^+\right)$+$\text{H}\left({}^2\text{S}\right)$ System
by: Jeong, Hye Su, et al.
Published: (2026)
by: Jeong, Hye Su, et al.
Published: (2026)
Educação permanente em saúde: metassíntese
by: Fernanda Luppino Miccas
Published: (2014)
by: Fernanda Luppino Miccas
Published: (2014)
Deep learning-derived arterial input function for dynamic brain PET
by: Chen, Junyu, et al.
Published: (2025)
by: Chen, Junyu, et al.
Published: (2025)
Aberrant origin of the left coronary artery from the right coronary sinus with a common orifice with the right coronary artery
by: Jamal Ataya, et al.
Published: (2024)
by: Jamal Ataya, et al.
Published: (2024)
Chapter Plasmonics in Sensing: From Colorimetry to SERS Analytics
by: Kuttner, Christian
Published: (2021)
by: Kuttner, Christian
Published: (2021)
WickstromLab/Punovuori-et-al.-Cell-2024: Punovuori et al., Cell 2024; Kaivola et al., Nat Materials 2025
by: WickströmLab
Published: (2025)
by: WickströmLab
Published: (2025)
Magnetism of kagome metals $\left(\text{Fe}_{1-x} \text{Co}_{x}\right) \text{Sn}$ studied by $μ$SR
by: Cai, Yipeng, et al.
Published: (2025)
by: Cai, Yipeng, et al.
Published: (2025)
FDG PET/CT in large vessel vasculitis
by: Karan Bir Singh, et al.
Published: (2024)
by: Karan Bir Singh, et al.
Published: (2024)
A field in motion: The parallel evolution of coaching in modern health professions education and elite sports
by: Rune D. Jensen, et al.
Published: (2026)
by: Rune D. Jensen, et al.
Published: (2026)
HearCog Trial‐ Findings from FDG‐PET
by: Heidi Espedal, et al.
Published: (2025)
by: Heidi Espedal, et al.
Published: (2025)
Muscular polyarteritis nodosa detected by FDG‐PET/CT
by: Yoshinori Taniguchi, et al.
Published: (2024)
by: Yoshinori Taniguchi, et al.
Published: (2024)
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
by: Singh, Durgesh Kumar, et al.
Published: (2025)
by: Singh, Durgesh Kumar, et al.
Published: (2025)
Isolated right subclavian artery with left‐sided kinked aortic arch in association with criss‐cross pulmonary arteries
by: Archit Dikshit, et al.
Published: (2024)
by: Archit Dikshit, et al.
Published: (2024)
Prehospital Identification of Patients With Stroke—mNIHSS Versus FAST
by: Anders Lind, et al.
Published: (2025)
by: Anders Lind, et al.
Published: (2025)
Patchy FDG uptake on FDG PET/CT in a patient with vasculitic neuropathy in restricted lower‐limb vasculitis
by: Hiroshi Sakiyama, et al.
Published: (2024)
by: Hiroshi Sakiyama, et al.
Published: (2024)
The role of combined FDG and SST PET / CT in neuroendocrine tumors
by: Martina Di Franco, et al.
Published: (2024)
by: Martina Di Franco, et al.
Published: (2024)
FDG‐PET patterns associate with survival in patients with prion disease
by: Nick Corriveau‐Lecavalier, et al.
Published: (2024)
by: Nick Corriveau‐Lecavalier, et al.
Published: (2024)
EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode
by: Singh, Durgesh K., et al.
Published: (2025)
by: Singh, Durgesh K., et al.
Published: (2025)
Similar Items
-
Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [${}^{18}$F]FDG PET Images
by: Salomonsen, Christian, et al.
Published: (2025) -
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN
by: Salomonsen, Christian, et al.
Published: (2025) -
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
by: Wickstrøm, Kristoffer, et al.
Published: (2025) -
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
by: Wickstrøm, Kristoffer K., et al.
Published: (2024) -
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction
by: Thrun, Solveig, et al.
Published: (2025)