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Martens, Harald
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1

Hyperspectral Video Analysis by Motion and Intensity Prepro..:

Vitale, Raffaele ; Ruckebusch, Cyril ; Burud, Ingunn.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964463/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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2

Corrigendum: Hyperspectral Video Analysis by Motion and Int..:

Vitale, Raffaele ; Ruckebusch, Cyril ; Burud, Ingunn.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159147/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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3

Improvement of a Robotic Manipulator Model Based on Multiva..:

Gale, Serge ; Rahmati, Hodjatolah ; Gravdahl, Jan Tommy.
https://www.frontiersin.org/articles/10.3389/frobt.2017.00028/full.  , 2017
Link: http://hdl.handle.net/11..
 
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4

Genome-wide association mapping for milk fat composition an..:

Olsen, Hanne Gro ; Knutsen, Tim Martin ; Kohler, Achim...
info:eu-repo/semantics/altIdentifier/doi/10.1186/s12711-017-0294-5.  , 2017
Link: https://hal.archives-ouv..
 
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5

Multivariate data modelling for de-shadowing of airborne hy..:

Fortuna, João ; Martens, Harald
https://doi.org/10.1255/jsi.2017.a2.  , 2017
Link: http://hdl.handle.net/11..
 
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6

On-The-Fly Processing of continuous high-dimensional data s..:

Vitale, Raffaele ; Zhyrova, Anna ; Fortuna, Joao F...
Chemometrics and Intelligent Laboratory Systems.  , 2017
Link: http://hdl.handle.net/10..
 
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7

Genome-wide association mapping for milk fat composition an..:

Olsen, Hanne Gro ; Knutsen, Tim Martin ; Kohler, Achim...
Genetics Selection Evolution. 2017, 49:20 1-13..  , 2017
Link: http://hdl.handle.net/11..
 
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8

Genome-wide association mapping for milk fat composition an..:

Olsen, Hanne Gro ; Knutsen, Tim Martin ; Kohler, Achim...
Genetics Selection Evolution. 2017, 49:20 1-13..  , 2017
Link: http://hdl.handle.net/11..
 
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9

150 Years of the Mass Action Law:

Voit, Eberhard ; Martens, Harald ; Omholt, Stig William
PLoS Computational Biology. 2015, 11 (1), ..  , 2015
Link: http://hdl.handle.net/11..
 
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10

High-Throughput Biochemical Fingerprinting of Saccharomyces..:

Kohler, Achim ; Böcker, Ulrike ; Shapaval, Volha...
PLoS ONE 2015, 10(2).  , 2015
Link: http://hdl.handle.net/11..
 
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11

A computational pipeline for quantification of mouse myocar..:

Nordbø, Oyvind ; Lamata de la Orden, Pablo ; Land, Sander...
Nordbø , O , Lamata de la Orden , P , Land , S , Niederer , S , Aronsen , J M , Louch , W E , Sjaastad , I , Martens , H , Gjuvsland , A B , Tøndel , K , Torp , H , Lohezic , M , Schneider , J E , Remme , E W , Smith , N , Omholt , S W & Vik , J O 2014 , ' A computational pipeline for quantification of mouse myocardial stiffness parameters ' , Computers in Biology and Medicine , vol. 53 , pp. 65-75 . https://doi.org/10.1016/j.compbiomed.2014.07.013.  , 2014
Link: https://kclpure.kcl.ac.u..
 
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12

A computational pipeline for quantification of mouse myocar..:

Nordbø, Øyvind ; Lamata, P ; Land, Sander...
Stiftelsen Kristian Gerhard Jebsen: SKGJ-MED-005.  , 2014
Link: http://hdl.handle.net/11..
 
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13

A computational pipeline for quantification of mouse myocar..:

Nordbø, Oyvind ; Lamata de la Orden, Pablo ; Land, Sander...
Nordbø , O , Lamata de la Orden , P , Land , S , Niederer , S , Aronsen , J M , Louch , W E , Sjaastad , I , Martens , H , Gjuvsland , A B , Tøndel , K , Torp , H , Lohezic , M , Schneider , J E , Remme , E W , Smith , N , Omholt , S W & Vik , J O 2014 , ' A computational pipeline for quantification of mouse myocardial stiffness parameters ' , Computers in Biology and Medicine , vol. 53 , pp. 65-75 . https://doi.org/10.1016/j.compbiomed.2014.07.013.  , 2014
Link: https://kclpure.kcl.ac.u..
 
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14

A computational pipeline for quantification of mouse myocar..:

Nordbø, Øyvind ; Lamata, P ; Land, Sander...
Stiftelsen Kristian Gerhard Jebsen: SKGJ-MED-005.  , 2014
Link: http://hdl.handle.net/11..
 
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15

A computational pipeline for quantification of mouse myocar..:

Nordbø, Øyvind ; Lamata, Pablo ; Land, Sander...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4625543/.  , 2014
Link: http://www.ncbi.nlm.nih...
 
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