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Adaptive parameter computation for the automatic measure of the Tear Break-Up Time.

L. Ramos, N. Barreira, A. González, M. Currás, H. Pena-Verdeal, M. Fernández, and M. Penedo. KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 1370-1379. IOS Press, (2012)

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L. Ahlgrimm

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, and 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, and 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, and 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, and T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

Univ. -Prof. Dr. Remco Ingmar Leine University of Stuttgart

Christian León University of Stuttgart

Other publications of authors with the same name

Adaptive parameter computation for the automatic measure of the Tear Break-Up Time.L. Ramos, N. Barreira, A. González, M. Currás, H. Pena-Verdeal, M. Giráldez, and M. Penedo. KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 1370-1379. IOS Press, (2012)Treatment planning of brain implants using vascular information and a new template technique.J. de Bree, J. Lagendijk, B. Raaymakers, C. Bakker, M. Hulshof, R. Koot, P. Hanlo, H. Struikmans, L. Ramos, and J. Battermann. IEEE Trans. Med. Imaging, 17 (5): 729-736 (1998)Adaptive parameter computation for the automatic measure of the Tear Break-Up Time.L. Ramos, N. Barreira, A. González, M. Currás, H. Pena-Verdeal, M. Fernández, and M. Penedo. KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 1370-1379. IOS Press, (2012)A Lattice Version of the Multichannel Fast QRD Algorithm Based on A Posteriori Backward Errors.A. Ramos, and J. Jr.. ICT, volume 3124 of Lecture Notes in Computer Science, page 488-497. Springer, (2004)A Graph Signal Processing Approach to Direction of Arrival Estimation.L. Moreira, A. Ramos, M. de Campos, J. Apolinário, and F. Serrenho. EUSIPCO, page 1-5. IEEE, (2019)A general approach to the derivation of block Multichannel Fast QRD-RLS algorithms.A. Ramos, J. Apolinário, and S. Werner. EUSIPCO, page 1-4. IEEE, (2005)Gunshot Airborne Surveillance with Rotary Wing UAV-Embedded Microphone Array.F. Serrenho, J. Apolinário, A. Ramos, and R. Fernandes. Sensors, 19 (19): 4271 (2019)Bearings-only aerial shooter localization using a microphone array mounted on a drone.R. Fernandes, J. Apolinário, and A. Ramos. LASCAS, page 1-4. IEEE, (2017)Improved DoA estimation with application to bearings-only acoustic source localization.J. Ribeiro, F. Serrenho, J. Apolinário, and A. Ramos. ISSPIT, page 100-105. IEEE Computer Society, (2017)Multichannel fast QRD-RLS adaptive filtering: Block-channel and sequential-channel algorithms based on updating backward prediction errors.A. Ramos, J. Jr., and S. Werner. Signal Processing, 87 (7): 1781-1798 (2007)