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Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
July 21, 2019
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach
David Minarik, Olof Enqvist, Elin Trägårdh
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 12, 2016
City-Scale Localization for Cameras with Known Vertical Direction
Linus Svarm, Olof Enqvist, Fredrik Kahl, et al.
Clinical Physiology and Functional Imaging
|
April 2, 2024
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
Elin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging
|
June 15, 2025
Evaluation of [18F]PSMA-1007 uptake variability in patients with prostate cancer
Elin Trägårdh, Måns Larsson, David Minarik, et al.
Journal of Neuroscience Methods
|
February 7, 2012
A system for automated tracking of motor components in neurophysiological research
Tobias Palmér, Martin Tamtè, Pär Halje, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 5, 2026
Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset
May Sadik, Måns Larsson, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging
|
October 5, 2018
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
May Sadik, Erica Lind, Eirini Polymeri, et al.
Clinical Physiology and Functional Imaging
|
June 27, 2022
Automated classification of PET-CT lesions in lung cancer: An independent validation study
Pablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, et al.
EJNMMI Research
|
October 12, 2021
Convolutional neural network-based automatic heart segmentation and quantitation in <sup>123</sup>I-metaiodobenzylguanidine SPECT imaging
Shintaro Saito, Kenichi Nakajima, Lars Edenbrandt, et al.
Scientific Reports
|
June 11, 2017
Action sequencing in the spontaneous swimming behavior of zebrafish larvae - implications for drug development
Tobias Palmér, Fredrik Ek, Olof Enqvist, et al.
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Showing results (1-10 of 50) with videos related to
Sort By:
Page
of 5
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
July 21, 2019
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach
David Minarik, Olof Enqvist, Elin Trägårdh
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
August 12, 2016
City-Scale Localization for Cameras with Known Vertical Direction
Linus Svarm, Olof Enqvist, Fredrik Kahl, et al.
Clinical Physiology and Functional Imaging
|
April 2, 2024
Improving sensitivity through data augmentation with synthetic lymph node metastases for AI-based analysis of PSMA PET-CT images
Elin Trägårdh, Johannes Ulén, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging
|
June 15, 2025
Evaluation of [18F]PSMA-1007 uptake variability in patients with prostate cancer
Elin Trägårdh, Måns Larsson, David Minarik, et al.
Journal of Neuroscience Methods
|
February 7, 2012
A system for automated tracking of motor components in neurophysiological research
Tobias Palmér, Martin Tamtè, Pär Halje, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
March 5, 2026
Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset
May Sadik, Måns Larsson, Olof Enqvist, et al.
Clinical Physiology and Functional Imaging
|
October 5, 2018
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
May Sadik, Erica Lind, Eirini Polymeri, et al.
Clinical Physiology and Functional Imaging
|
June 27, 2022
Automated classification of PET-CT lesions in lung cancer: An independent validation study
Pablo Borrelli, José Luis Loaiza Góngora, Reza Kaboteh, et al.
EJNMMI Research
|
October 12, 2021
Convolutional neural network-based automatic heart segmentation and quantitation in <sup>123</sup>I-metaiodobenzylguanidine SPECT imaging
Shintaro Saito, Kenichi Nakajima, Lars Edenbrandt, et al.
Scientific Reports
|
June 11, 2017
Action sequencing in the spontaneous swimming behavior of zebrafish larvae - implications for drug development
Tobias Palmér, Fredrik Ek, Olof Enqvist, et al.
Page
of 5