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Casper Kaae Sønderby
Casper Kaae Sønderby
Founder@twig.energy, ML/DL Research Scientist
Bekræftet mail på twig.energy - Startside
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SignalP 5.0 improves signal peptide predictions using deep neural networks
JJ Almagro Armenteros, KD Tsirigos, CK Sønderby, TN Petersen, ...
Nature biotechnology 37 (4), 420-423, 2019
22052019
Ladder variational autoencoders
CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther
Neural Information Processing Systems, 2016
748*2016
DeepLoc: prediction of protein subcellular localization using deep learning
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Bioinformatics 33 (21), 3387-3395, 2017
6482017
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
International conference on machine learning, 1445-1453, 2016
4432016
Amortised map inference for image super-resolution
CK Sønderby, J Caballero, L Theis, W Shi, F Huszár
International Conference on Learning Representations (ICLR), 2016
4182016
NetSurfP‐2.0: Improved prediction of protein structural features by integrated deep learning
MS Klausen, MC Jespersen, H Nielsen, KK Jensen, VI Jurtz, ...
Proteins: Structure, Function, and Bioinformatics 87 (6), 520-527, 2019
3122019
BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis
FO Bagger, D Sasivarevic, SH Sohi, LG Laursen, S Pundhir, CK Sønderby, ...
Nucleic acids research 44 (D1), D917-D924, 2016
2422016
Orientationally invariant metrics of apparent compartment eccentricity from double pulsed field gradient diffusion experiments
SN Jespersen, H Lundell, CK Sønderby, TB Dyrby
NMR in Biomedicine 26 (12), 1647-1662, 2013
2072013
Convolutional LSTM networks for subcellular localization of proteins
SK Sønderby, CK Sønderby, H Nielsen, O Winther
International conference on algorithms for computational biology, 68-80, 2015
1362015
An introduction to deep learning on biological sequence data: examples and solutions
VI Jurtz, AR Johansen, M Nielsen, JJ Almagro Armenteros, H Nielsen, ...
Bioinformatics 33 (22), 3685-3690, 2017
1272017
scVAE: variational auto-encoders for single-cell gene expression data
CH Grønbech, MF Vording, PN Timshel, CK Sønderby, TH Pers, ...
Bioinformatics 36 (16), 4415-4422, 2020
1182020
Metnet: A neural weather model for precipitation forecasting
CK Sønderby, L Espeholt, J Heek, M Dehghani, A Oliver, T Salimans, ...
arXiv preprint arXiv:2003.12140, 2020
952020
Improved metagenome binning and assembly using deep variational autoencoders
JN Nissen, J Johansen, RL Allesøe, CK Sønderby, JJA Armenteros, ...
Nature biotechnology 39 (5), 555-560, 2021
88*2021
Recurrent spatial transformer networks
SK Sønderby, CK Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
552015
Tumor suppressor ASXL1 is essential for the activation of INK4B expression in response to oncogene activity and anti-proliferative signals
X Wu, IH Bekker-Jensen, J Christensen, KD Rasmussen, S Sidoli, Y Qi, ...
Cell research 25 (11), 1205-1218, 2015
342015
Diffusion weighted imaging with circularly polarized oscillating gradients
H Lundell, CK Sønderby, TB Dyrby
Magnetic resonance in medicine 73 (3), 1171-1176, 2015
342015
Idf++: Analyzing and improving integer discrete flows for lossless compression
R Berg, AA Gritsenko, M Dehghani, CK Sønderby, T Salimans
arXiv preprint arXiv:2006.12459, 2020
252020
Commentary on “Microanisotropy imaging: quantification of microscopic diffusion anisotropy and orientation of order parameter by diffusion MRI with magic-angle spinning of the …
SN Jespersen, H Lundell, CK Sønderby, TB Dyrby
Frontiers in Physics 2, 28, 2014
252014
Deep recurrent conditional random field network for protein secondary prediction
AR Johansen, CK Sønderby, SK Sønderby, O Winther
Proceedings of the 8th ACM international conference on bioinformatics …, 2017
232017
Apparent exchange rate imaging in anisotropic systems
CK Sønderby, HM Lundell, LV Søgaard, TB Dyrby
Magnetic resonance in medicine 72 (3), 756-762, 2014
23*2014
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Artikler 1–20