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Characterisation of movement disorder in parkinson's disease using evolutionary algorithms.

S. Lacy, M. Lones, S. Smith, J. Alty, D. Jamieson, K. Possin, und N. Schuff. GECCO (Companion), Seite 1479-1486. ACM, (2013)

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L. Ahlgrimm

Dr. Stephen Hocker University of Stuttgart

Dr. rer. nat. Ashley Smith University of Stuttgart

Lambert Theisen University of Stuttgart

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Weitere Publikationen von Autoren mit dem selben Namen

Redundancy and Computational Efficiency in Cartesian Genetic Programming.J. Miller, und S. Smith. IEEE Trans. Evolutionary Computation, 10 (2): 167-174 (2006)Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients.M. Lones, S. Smith, J. Alty, S. Lacy, K. Possin, D. Jamieson, und A. Tyrrell. IEEE Trans. Evolutionary Computation, 18 (4): 559-576 (2014)Active sensing for motion planning in uncertain environments via mutual information policies.R. MacDonald, und S. Smith. I. J. Robotics Res., (2019)Learning User Preferences in Robot Motion Planning Through Interaction.N. Wilde, D. Kulic, und S. Smith. ICRA, Seite 619-626. IEEE, (2018)Benefits of Employing an Implicit Context Representation on Hardware Geometry of CGP.X. Cai, S. Smith, und A. Tyrrell. ICES, Volume 3637 von Lecture Notes in Computer Science, Seite 143-154. Springer, (2005)Medical Applications of Evolutionary Computation.S. Smith. GECCO (Companion), Seite 765-793. ACM, (2016)Classification of resting-state fMRI for olfactory dysfunction in parkinson's disease using evolutionary algorithms.A. Dehsarvi, und S. Smith. GECCO (Companion), Seite 264-265. ACM, (2018)Going through directional changes: evolving human movement classifiers using an event based encoding.M. Lones, J. Alty, J. Cosgrove, S. Jamieson, und S. Smith. GECCO (Companion), Seite 1365-1371. ACM, (2017)Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial ability.S. Smith, und M. Lones. IEEE Congress on Evolutionary Computation, Seite 1072-1078. IEEE, (2009)Optimal path planning under temporal logic constraints.S. Smith, J. Tumova, C. Belta, und D. Rus. IROS, Seite 3288-3293. IEEE, (2010)