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- 2020
-
Reducing bias in dual flip angle T1-mapping in human brain at 7T
Olsson, Hampus LU ; Andersen, Mads LU ; Lätt, Jimmy LU ; Wirestam, Ronnie LU
and
Helms, Gunther
LU
(2020)
In Magnetic Resonance in Medicine
Mark
-
Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival
Polymeri, Eirini ; Sadik, May ; Kaboteh, Reza ; Borrelli, Pablo ; Enqvist, Olof ; Ulén, Johannes LU ; Ohlsson, Mattias LU
;
Trägårdh, Elin
LU
;
Poulsen, Mads H.
and
Simonsen, Jane A.
, et al.
(2020)
In Clinical Physiology and Functional Imaging
40(2).
p.106-113
Mark
- Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network : A Monte Carlo Simulation Approach
- Standardisation of nailfold capillaroscopy for the assessment of patients with Raynaud's phenomenon and systemic sclerosis
- A versatile, low-cost, snapshot multidimensional imaging approach based on structured light
- Reconstructing intragranular strain fields in polycrystalline materials from scanning 3DXRD data
-
Performance improvement of automated melanoma diagnosis system by data augmentation
Kato, Kana ; Nemoto, Mitsutaka ; Kimura, Yuichi ; Kiyohara, Yoshio ; Koga, Hiroshi ; Yamazaki, Naoya ; Christensen, Gustav LU ; Ingvar, Christian LU ; Nielsen, Kari LU
and
Nakamura, Atsushi
, et al.
(2020)
In Advanced Biomedical Engineering
9.
p.62-70
Mark
- 2019
-
Improved Tracking Performance in High Frame Rate Imaging Using Iterative Phase Tracking
Erlöv, Tobias LU ; Larsson, Roger LU
;
Boni, Enrico
;
Ramalli, Alessandro
;
Rydén Ahlgren, Åsa
LU
and
Cinthio, Magnus
LU
(2019)
In IEEE International Ultrasonics Symposium (IUS)
2019.
p.2158-2161
Mark
-
A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images
Alvén, Jennifer ; Heurling, Kerstin ; Smith, Ruben LU ; Strandberg, Olof LU ; Schöll, Michael LU ; Hansson, Oskar LU
and
Kahl, Fredrik
(2019)
22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019
In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11765 LNCS.
p.355-363
Mark
- Connecting CMR and Physiology : Expanding the capabilities of cardiovascular magnetic resonance in quantifying physiology