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Casper Kaae Sønderby
Casper Kaae Sønderby
Founder@twig.energy, ML/DL Research Scientist
Verified email at twig.energy - Homepage
Title
Cited by
Cited by
Year
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
23952019
Ladder variational autoencoders
CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther
Neural Information Processing Systems, 2016
775*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
6952017
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
International conference on machine learning, 1445-1453, 2016
4512016
Amortised map inference for image super-resolution
CK Sønderby, J Caballero, L Theis, W Shi, F Huszár
International Conference on Learning Representations (ICLR), 2016
4342016
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
3442019
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
2512016
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
2222013
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
1392015
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
1332017
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
1222020
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
1152020
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
104*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
362015
Diffusion weighted imaging with circularly polarized oscillating gradients
H Lundell, CK Sønderby, TB Dyrby
Magnetic resonance in medicine 73 (3), 1171-1176, 2015
352015
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
272020
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
262014
Apparent exchange rate imaging in anisotropic systems
CK Sønderby, HM Lundell, LV Søgaard, TB Dyrby
Magnetic resonance in medicine 72 (3), 756-762, 2014
25*2014
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
242017
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