A 2.4 kbps high-quality speech coder. - Jesper Haagen; Henrik Nielsen; Steffen Duus Hansen (ICASSP, 1991)

High performance coder: a possible candidate for the GSM half-rate system. - Yuhang Wu 010; Henrik B. Hansen; Knud J. Larsen; Henrik Nielsen; John Aasted Sørensen (ICASSP, 1991)

Improvements in 2.4 kbps high-quality speech coding. - Jesper Haagen; Henrik Nielsen; Steffen Duus Hansen (ICASSP, 1992)

Comparative study of error correction coding schemes for the GSM half-rate channel. - Henrik Nielsen; Keld B. Mikkelsen; Henrik B. Hansen; Yuhang Wu 010; Knud J. Larsen; John Aasted Sørensen (ICASSP, 1992)

Sequence of a new snRNA from the ciliate Tetrahymena thermophila. - Henrik Ørum; Henrik Nielsen; Jan Engberg (Nucleic Acids Res., 1992)

Improving the spectral balance of digital speech synthesis applied to a female, synthetic voice. - Ida Frehr; Marianne Elmlund; Henrik Nielsen (EUROSPEECH, 1993)

Non-linear short-term prediction in speech coding. - Jes Thyssen; Henrik Nielsen; Steffen Duus Hansen (ICASSP (1), 1994)

Using Mirror Cameras for Estimating Depth. - Jens Arnspang; Henrik Nielsen; Morten Christensen; Knud Henriksen (CAIP, 1995)

Quantization of non-linear predictors in speech coding. - Jes Thyssen; Henrik Nielsen; Steffen Duus Hansen (ICASSP, 1995)

Neural Network Prediction of Translation Initiation Sites in Eukaryotes: Perspectives for EST and Genome Analysis. - Anders Gorm Pedersen; Henrik Nielsen (ISMB, 1997)

A Neural Network Method for Identification of Prokaryotic and Eukaryotic Signal Peptides and Prediction of their Cleavage Sites. - Henrik Nielsen; Jacob Engelbrecht; Søren Brunak; Gunnar von Heijne (Int. J. Neural Syst., 1997)

Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model. - Henrik Nielsen; Anders Krogh (ISMB, 1998)

Metrics and Similarity Measures for Hidden Markov Models. - Rune B. Lyngsø; Christian N. S. Pedersen; Henrik Nielsen (ISMB, 1999)

Assessing the accuracy of prediction algorithms for classification: an overview. - Pierre Baldi; Søren Brunak; Yves Chauvin; Claus A. F. Andersen; Henrik Nielsen (Bioinform., 2000)

Prediction of twin-arginine signal peptides. - Jannick Dyrløv Bendtsen; Henrik Nielsen; David Widdick; Tracy Palmer; Søren Brunak (BMC Bioinform., 2005)

LocTree3 prediction of localization. - Tatyana Goldberg; Maximilian Hecht; Tobias Hamp; Timothy Karl; Guy Yachdav; Nadeem Ahmed; Uwe Altermann; Philipp Angerer; Sonja Ansorge; Kinga Balasz; Michael Bernhofer; Alexander Betz; et al. (Nucleic Acids Res., 2014)

Convolutional LSTM Networks for Subcellular Localization of Proteins. - Søren Kaae Sønderby; Casper Kaae Sønderby; Henrik Nielsen; Ole Winther (AlCoB, 2015)

DeepLoc: prediction of protein subcellular localization using deep learning. - José Juan Almagro Armenteros; Casper Kaae Sønderby; Søren Kaae Sønderby; Henrik Nielsen; Ole Winther (Bioinform., 2017)

An introduction to deep learning on biological sequence data: examples and solutions. - Vanessa Isabell Jurtz; Alexander Rosenberg Johansen; Morten Nielsen 001; José Juan Almagro Armenteros; Henrik Nielsen; Casper Kaae Sønderby; Ole Winther; Søren Kaae Sønderby (Bioinform., 2017)

Deep protein representations enable recombinant protein expression prediction. - Hannah-Marie Martiny; José Juan Almagro Armenteros; Alexander Rosenberg Johansen; Jesper Salomon; Henrik Nielsen (Comput. Biol. Chem., 2021)

NetSolP: predicting protein solubility in Escherichia coli using language models. - Vineet Thumuluri; Hannah-Marie Martiny; José Juan Almagro Armenteros; Jesper Salomon; Henrik Nielsen; Alexander Rosenberg Johansen (Bioinform., 2022)

NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning. - Magnus Haraldson Høie; Erik Nicolas Kiehl; Bent Petersen; Morten Nielsen 001; Ole Winther; Henrik Nielsen; Jeppe Hallgren; Paolo Marcatili (Nucleic Acids Res., 2022)

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models. - Vineet Thumuluri; José Juan Almagro Armenteros; Alexander Rosenberg Johansen; Henrik Nielsen; Ole Winther (Nucleic Acids Res., 2022)

SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects. - Alfred Ferrer Florensa; José Juan Almagro Armenteros; Henrik Nielsen; Frank Møller Aarestrup; Philip Thomas Lanken Conradsen Clausen (CoRR, 2024)

NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model. - Line Sandvad Nielsen; Anders Gorm Pedersen; Ole Winther; Henrik Nielsen (BMC Bioinform., 2025)