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Journal Articles
- 2021
[j10]Sandra Morales, Adrián Colomer
, José Manuel Mossi, Rocío del Amor, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo:
Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks. Comput. Methods Programs Biomed. 198: 105788 (2021)- [j9]Michael Larsen, Anna Larsen:
Multiplicative series, modular forms, and Mandelbrot polynomials. Math. Comput. 90(327): 345-377 (2021) - 2003
- [j8]Michael Larsen, Mrdjan Jankovic, Petar V. Kokotovic:
Coordinated passivation designs. Autom. 39(2): 335-341 (2003) - [j7]Murat Arcak, Michael Larsen, Petar V. Kokotovic:
Circle and Popov criteria as tools for nonlinear feedback design, . Autom. 39(4): 643-650 (2003) - 2002
- [j6]Murat Arcak, Michael Larsen, Petar V. Kokotovic:
Boundedness without Absolute Stability in Systems with Stiffening Nonlinearities. Eur. J. Control 8(3): 243-250 (2002) - 2001
- [j5]Michael Larsen, Petar V. Kokotovic:
On passivation with dynamic output feedback. IEEE Trans. Autom. Control. 46(6): 962-967 (2001) - 1999
- [j4]John B. Friedlander, Michael Larsen, Daniel Lieman, Igor E. Shparlinski:
On The Correlation of Binary Sequences. Des. Codes Cryptogr. 16(3): 249-256 (1999) - 1998
- [j3]Mads Hintz-Madsen, Lars Kai Hansen, Jan Larsen, Morten With Pedersen, Michael Larsen:
Neural classifier construction using regularization, pruning and test error estimation. Neural Networks 11(9): 1659-1670 (1998) - 1995
- [j2]Michael Larsen:
The Problem of Kings. Electron. J. Comb. 2 (1995) - [j1]Michael Larsen, James Gary Propp, Daniel Ullman:
The fractional chromatic number of mycielski's graphs. J. Graph Theory 19(3): 411-416 (1995)
Conference and Workshop Papers
- 2023
- [c4]James J. Mahshie, Michael Larsen:
Did you see that? Exploring the role of vision in the development of consonant feature contrasts in children with cochlear implants. INTERSPEECH 2023: 137-140 - 2020
- [c3]Astrid M. E. Engberg, Abdullah Amini, Anne Willerslev, Michael Larsen, Birgit Sander, Line Kessel, Anders B. Dahl, Vedrana Andersen Dahl:
Automated Quantification of Macular Vasculature Changes from OCTA Images of Hematologic Patients. ISBI 2020: 1987-1991 - 2019
- [c2]Rocío del Amor, Sandra Morales, Adrián Colomer, José Manuel Mossi, David Woldbye, Kristian Klemp, Michael Larsen, Valery Naranjo:
Towards Automatic Glaucoma Assessment: An Encoder-decoder CNN for Retinal Layer Segmentation in Rodent OCT images. EUSIPCO 2019: 1-5 - 2018
- [c1]Félix Fuentes-Hurtado, Sandra Morales, José Manuel Mossi, Valery Naranjo, Vadim Fedulov, David Woldbye, Kristian Klemp, Marie Torm, Michael Larsen:
Deep-Learning-Based Classification of Rat OCT Images After Intravitreal Injection of ET-1 for Glaucoma Understanding. IDEAL (1) 2018: 27-34
Coauthor Index
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