Olof Enqvist

Forskare vid Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Digitala bildsystem och bildanalys

Olof Enqvist är forskarassistent i forskargruppen Bildanalys och datorseende.

Källa: chalmers.se

Visar 28 publikationer

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 i proceeding
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
Artikel i vetenskaplig tidskrift
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 i proceeding
2018

Shape-aware label fusion for multi-atlas frameworks

Jennifer Alvén, Fredrik Kahl, Olof Enqvist
Pattern Recognition Letters
Artikel i vetenskaplig tidskrift
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-
Artikel i vetenskaplig tidskrift
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 i proceeding
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
Kapitel i bok
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 i proceeding
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 i proceeding
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 i proceeding
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 i proceeding
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 i proceeding
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 i proceeding
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 i proceeding
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)
Artikel i vetenskaplig tidskrift
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-
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
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
Konferensbidrag (offentliggjort, men ej förlagsutgivet)
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-
Artikel i vetenskaplig tidskrift
2016

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
Artikel i vetenskaplig tidskrift
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. Vol. 9127, p. 92-102
Paper i proceeding
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 i proceeding
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 i proceeding
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
Artikel i vetenskaplig tidskrift
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
Artikel i vetenskaplig tidskrift
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 i proceeding
2014

Tractable and Reliable Registration of 2D Point Sets

Erik Ask, Olof Enqvist, Linus Svärm et al
Lecture Notes in Computer Science. Vol. 8689 (PART 1), p. 393-406
Paper i proceeding
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 i proceeding

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