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- 2022
-
Mark
Accurately Identifying Coronary Atherosclerotic Heart Disease through Merged Beats of Electrocardiogram
Wang, Xinfeng ; Qi, Mengling ; Dong, Chengzhi ; Zhang, Haoyang LU
; Yang, Yuedong
and Zhao, Huiying
(2022)
2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
p.1249-1254
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Discriminating Against Unrealistic Interpolations in Generative Adversarial Networks
(2022)
- Working paper/Preprint › Preprint in preprint archive
- 2021
-
Mark
Heart rate modeling and prediction using autoregressive models and deep learning
- Contribution to journal › Article
-
Mark
End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
Olsson, Alexander E LU ; Malešević, Nebojša LU ; Björkman, Anders LU and Antfolk, Christian LU
(2021)
In Frontiers in Neuroscience
15.
p.1-10
- Contribution to journal › Article
-
Mark
Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
- Thesis › Doctoral thesis (compilation)
-
Mark
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
Lempart, Michael LU ; Benedek, Hunor LU ; Nilsson, Mikael LU ; Eliasson, Niklas ; Bäck, Sven LU ; Munck af Rosenschöld, Per LU
; Olsson, Lars E.
LU
and Jamtheim Gustafsson, Christian
LU
(2021)
In Physics and imaging in radiation oncology
19.
p.112-119
- Contribution to journal › Article
-
Mark
Machine learning in the prediction of cancer therapy
Rafique, Raihan ; Islam, S. M.Riazul and Kazi, Julhash U. LU
(2021)
In Computational and Structural Biotechnology Journal
19.
p.4003-4017
- Contribution to journal › Scientific review
-
Mark
Non-attracting regions of local minima in deep and wide neural networks
- Contribution to journal › Article
-
Mark
Realeasy : real-time capable simulation to reality domain adaptation
Dürr, Alexander LU
; Neric, Liam
; Krueger, Volker
LU
and Topp, Elin Anna
LU
(2021)
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)
p.2009-2016
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Reinforcement Learning for Active Visual Perception
(2021)
- Thesis › Doctoral thesis (compilation)