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- 2021
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Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
(2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418
- Contribution to journal › Published meeting abstract
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Mark
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
- Contribution to journal › Article
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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
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Mark
End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
- Contribution to journal › Article
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Mark
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
(2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A side-channel attack on a masked IND-CCA secure saber KEM implementation
- Contribution to journal › Article
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Mark
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
- Contribution to journal › Article
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Mark
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
- Contribution to journal › Article
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Mark
Realeasy : real-time capable simulation to reality domain adaptation
(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
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Mark
Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
- Thesis › Doctoral thesis (compilation)
