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- 2022
-
Mark
Towards computational modelling of active response in cyclist falls from in-the-wild footage
- Contribution to conference › Paper, not in proceeding
-
Mark
Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks
(2022)
- Working paper/Preprint › Preprint in preprint archive
- 2021
-
Mark
Considerations on Performance Evaluation of Atrial Fibrillation Detectors
- Contribution to journal › Article
-
Mark
Accurate Indoor Positioning Based on Learned Absolute and Relative Models
Kjellson, Christoffer ; Larsson, Martin LU
; Astrom, Kalle
LU
and Oskarsson, Magnus
LU
(2021)
2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
Lempart, Michael LU ; Nilsson, Martin LU ; Scherman, Jonas ; Nilsson, Mikael LU ; Jamtheim Gustafsson, Christian LU ; Munck Af Rosenschöld, Per LU
and Olsson, Lars E
LU
(2021)
European Society Radiation Oncology 2021
In Radiotherapy and Oncology
161(Suppl 1).
p.1417-1418
- Contribution to journal › Published meeting abstract
-
Mark
Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
- Thesis › Doctoral thesis (compilation)
-
Mark
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
Olsson, Alexander E. LU ; Malešević, Nebojša LU ; Björkman, Anders LU and Antfolk, Christian LU
(2021)
In Journal of NeuroEngineering and Rehabilitation
18.
- Contribution to journal › Article
-
Mark
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
Srikrishna, Meera ; Pereira, Joana B. LU ; Heckemann, Rolf A. ; Volpe, Giovanni ; van Westen, Danielle LU
; Zettergren, Anna
; Kern, Silke
; Wahlund, Lars Olof
; Westman, Eric
and Skoog, Ingmar
, et al.
(2021)
In NeuroImage
244.
- Contribution to journal › Article
-
Mark
FLoPAD-GRU : A Flexible, Low Power, Accelerated DSP for Gated Recurrent Unit Neural Network
(2021) 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021 In Proceedings - 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
- Contribution to journal › Article