Olof Enqvist

Showing 37 publications

2020

Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival

Pablo Borrelli, Måns Larsson, Johannes Ulen et al
Clinical Physiology and Functional Imaging. Vol. In Press
Journal article
2020

Deep learning-based quantification of PET/CT prostate gland uptake: association with overall survival

Eirini Polymeri, M. Sadik, R. Kaboteh et al
Clinical Physiology and Functional Imaging. Vol. 40 (2), p. 106-113
Journal article
2020

RECOMIA - a cloud-based platform for artificial intelligence research in nuclear medicine and radiology

E. Tragardh, Pablo Borrelli, R. Kaboteh et al
EJNMMI Physics. Vol. 7 (1)
Journal article
2020

Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach

David Minarik, Olof Enqvist, E. Tragardh
Journal of nuclear medicine : official publication, Society of Nuclear Medicine. Vol. 61 (2), p. 298-303
Journal article
2019

Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases

S. L. Belal, M. Sadik, R. Kaboteh et al
European Journal of Radiology. Vol. 113, p. 89-95
Journal article
2019

AI-based Tools for Automated Quantification of PET/CT Studies

L. Edenbrandt, J. Ulen, Olof Enqvist et al
Conference contribution
2019

AI-based Detection of Lung Lesions in FDG-PET/CT from Lung Cancer Patients

L. Edenbrandt, R. Kaboteh, S. Salehian et al
Conference contribution
2019

Artificial intelligence-based versus manual assessment of prostate cancer in the prostate gland: a method comparison study

Mike A. Mortensen, Pablo Borrelli, M. H. Poulsen et al
Clinical Physiology and Functional Imaging. Vol. 39 (6), p. 399-406
Journal article
2019

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. Vol. 39 (1), p. 78-84
Journal article
2019

Shape-aware label fusion for multi-atlas frameworks

Jennifer Alvén, Fredrik Kahl, Olof Enqvist
Pattern Recognition Letters
Journal article
2018

Artificial Intelligence Based Method for Automated PET/CT Measurements of Prostate Gland Volume and Choline Uptake

Pablo Borrelli, Mike Mortensen, Olof Enqvist et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 45
Paper in proceedings
2018

Deep learning algorithms for automated assessment of total and cancerous prostate gland volume based on PET/CT

Pablo Borrelli, Mike Mortensen, Olof Enqvist et al
Journal of Nuclear Medicine. Vol. 59 (Supplement 1)
Paper in proceedings
2017

Action sequencing in the spontaneous swimming behavior of zebrafish larvae - implications for drug development

T. Palmer, F. Ek, Olof Enqvist et al
Scientific Reports. Vol. 7 (1), p. Article Number: 3191-
Journal article
2017

Variability in reference levels for Deauville classifications applied to lymphoma patients examined with 18F-FDG-PET/CT

May Sadik, Erica Lind, Olof Enqvist et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 44
Paper in proceedings
2017

Multiatlas Segmentation Using Robust Feature-Based Registration

Frida Fejne, Matilda Landgren, Jennifer Alvén et al
, Cloud-Based Benchmarking of Medical Image Analysis, p. 203-218
Book chapter
2017

Automated quantification of reference levels in liver and mediastinum (blood pool) for the Deauville therapy response classification using FDG-PET/CT in lymphoma patients

Erica Lind, May Sadik, Olof Enqvist et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 44
Paper in proceedings
2017

Automated evaluation of normal uptake in different skeletal parts using 18F-sodium fluoride (NaF) PET/CT using a new convolutional neural network method

May Sadik, Sarah Lindgren Belal, Reza Kaboteh et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 44
Paper in proceedings
2017

Analytical validation of an automated method for segmentation of the prostate gland in CT images

Eirini Polymeri, May Sadik, Reza Kaboteh et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 44
Paper in proceedings
2017

Convolutional neural network based quantification of choline uptake in PET/CT studies is associated with overall survival in patients with prostate cancer

Reza Kaboteh, Eirini Polymeri, May Sadik et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 44
Paper in proceedings
2017

Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images

May Sadik, Eirini Polymeri, Reza Kaboteh et al
Journal of Nuclear Medicine. Vol. 58
Paper in proceedings
2017

Convolutional neural networks for segmentation of 49 selected bones in CT images show high reproducibility

May Sadik, Reza Kaboteh, Elin Trägårdh et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 44 (Supplement 2)
Paper in proceedings
2017

3D prostate gland uptake of 18F-choline - association with overall survival in patients with hormone-naïve prostate cancer

May Sadik, Eirini Polymeri, Reza Kaboteh et al
Journal of Nuclear Medicine. Vol. 58
Paper in proceedings
2017

City-scale localization for cameras with known vertical direction

Linus Svärm, Olof Enqvist, Fredrik Kahl et al
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 39 (7), p. 1455-1461
Journal article
2017

3D skeletal uptake of F-18 sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

S. L. Belal, M. Sadik, R. Kaboteh et al
EJNMMI Research. Vol. 7 (1)
Journal article
2016

Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography

Alexander Norlén, Jennifer Alvén, David Molnar et al
Journal of Medical Imaging. Vol. 3 (3), p. Article number 034003-
Journal article
2016

Überatlas: Fast and robust registration for multi-atlas segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Pattern Recognition Letters. Vol. 80, p. 249-255
Journal article
2016

Automated segmentation of the skeleton in PET/CT scans

May Sadik, Reza Kaboteh, N. Hasani et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 43, p. S392-S392
Conference contribution
2016

Efficient algorithms for robust estimation of relative translation

Johan Fredriksson, Viktor Larsson, Carl Olsson et al
Image and Vision Computing. Vol. 52, p. 114-
Journal article
2015

Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9127, p. 92-102
Paper in proceedings
2015

Good Features for Reliable Registration in Multi-Atlas Segmentation

Fredrik Kahl, Jennifer Alvén, Olof Enqvist et al
Proceedings of the VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015). Vol. 1390 (January), p. 12-17
Paper in proceedings
2015

Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Linus Svärm, Olof Enqvist, Fredrik Kahl et al
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16-19 April 2015, p. 824-828
Paper in proceedings
2015

A Combinatorial Approach to L1-Matrix Factorization

Fangyuan Jiang, Olof Enqvist, Fredrik Kahl
Journal of Mathematical Imaging and Vision. Vol. 51 (3), p. 430-441
Journal article
2015

Tractable Algorithms for Robust Model Estimation

Olof Enqvist, Erik Ask, Fredrik Kahl et al
International Journal of Computer Vision. Vol. 112 (1), p. 115-129
Journal article
2014

Accurate Localization and Pose Estimation for Large 3D Models

Linus Svärm, Olof Enqvist, Magnus Oskarsson et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 532-539
Paper in proceedings
2014

Tractable and Reliable Registration of 2D Point Sets

Erik Ask, Olof Enqvist, Linus Svärm et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8689 (PART 1), p. 393-406
Paper in proceedings
2014

Fast and Reliable Two-View Translation Estimation

Johan Fredriksson, Olof Enqvist, Fredrik Kahl
27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, United States, 23-28 June 2014, p. 1606-1612
Paper in proceedings

Download publication list

You can download this list to your computer.

Filter and download publication list

As logged in user (Chalmers employee) you find more export functions in MyResearch.

You may also import these directly to Zotero or Mendeley by using a browser plugin. These are found herer:

Zotero Connector
Mendeley Web Importer

There are no projects.
There might be more projects where Olof Enqvist participates, but you have to be logged in as a Chalmers employee to see them.