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ORCIDEsmaeil S. Nadimi
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2020 – today
- 2024
[j11]Smith K. Khare
, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya:
Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations. Inf. Fusion 102: 102019 (2024)- [j10]Smith K. Khare, Victoria Blanes-Vidal, Berit Bargum Booth, Lone Kjeld Petersen, Esmaeil S. Nadimi:
A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection. WIREs Data. Mining. Knowl. Discov. 14(6) (2024) - [i3]Vinay Chakravarthi Gogineni, Esmaeil S. Nadimi:
Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning. CoRR abs/2403.07611 (2024) - [i2]Esmaeil S. Nadimi, Jan-Matthias Braun, Benedicte Schelde-Olesen, Emile Prudhomme, Victoria Blanes-Vidal, Gunnar Baatrup:
Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway. CoRR abs/2406.09761 (2024) - [i1]Smith K. Khare, Berit Bargum Booth, Victoria Blanes-Vidal, Lone Kjeld Petersen, Esmaeil S. Nadimi:
An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images. CoRR abs/2411.09469 (2024) - 2023
- [j9]Jürgen Herp, Jan-Matthias Braun, Manuella L. Cantuaria, Ashkan Tashk, Torben Brøchner Pedersen, M. H. A. Poulsen, Merete Krogh, Esmaeil S. Nadimi, S. P. Sheikh:
Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers - A Case Study in Prostate Cancer. IEEE Access 11: 50295-50309 (2023) - 2022
- [j8]Yana A. Salchak, Noor M. Albadri, Tracey Bjorkman, Cora Lau, Esmaeil S. Nadimi, Peter Bollen, Hugo G. Espinosa, David Victor Thiel:
In-vivo Experimental Validation of the Attenuation Path Loss Model for Localization of Wireless Implanted Transmitters at 2.45 GHz. IEEE Access 10: 84894-84912 (2022) - [c17]Ashkan Tashk, Kasim E. Sahin, Jürgen Herp, Esmaeil S. Nadimi:
A CNN Architecture for Detection and Segmentation of Colorectal Polyps from CCE Images. IPAS 2022: 1-6 - 2021
- [j7]Luis David Avendaño-Valencia, Knud Bonnet Yderstraede, Esmaeil S. Nadimi, Victoria Blanes-Vidal:
Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy. Artif. Intell. Medicine 114: 102050 (2021) - [j6]Yunlong Wang, Sunyoung Yoo, Jan-Matthias Braun, Esmaeil S. Nadimi:
A locally-processed light-weight deep neural network for detecting colorectal polyps in wireless capsule endoscopes. J. Real Time Image Process. 18(4): 1183-1194 (2021) - [c16]Sunyoung Yoo, Yunlong Wang, Jan-Matthias Braun, Esmaeil S. Nadimi:
Accelerating FPGA-Implementations for Mobile Medical Devices with high-level AI libraries: an Object Detection Model for Colorectal Polyp Images. IST 2021: 1-6 - 2020
- [j5]Esmaeil S. Nadimi, Maria M. Buijs, Jürgen Herp, Rasmus Kroijer, Morten Kobaek-Larsen, Emilie Nielsen, Claus D. Pedersen, Victoria Blanes-Vidal, Gunnar Baatrup:
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. Comput. Electr. Eng. 81: 106531 (2020) - [j4]Tomás Majtner, Esmaeil S. Nadimi, Knud Bonnet Yderstraede, Victoria Blanes-Vidal:
Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations. Comput. Methods Programs Biomed. 196: 105619 (2020) - [c15]Ashkan Tashk, Esmaeil S. Nadimi:
An Innovative Polyp Detection Method from Colon Capsule Endoscopy Images Based on A Novel Combination of RCNN and DRLSE. CEC 2020: 1-6
2010 – 2019
- 2019
- [c14]Tomás Majtner, Esmaeil S. Nadimi:
Comparison of Deep Learning-Based Recognition Techniques for Medical and Biomedical Images. CAIP (1) 2019: 492-504 - [c13]Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi:
On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. SCIA 2019: 439-451 - 2018
- [j3]Esmaeil S. Nadimi, Mohammad H. Ramezani, Victoria Blanes-Vidal:
On the ratio of independent complex Gaussian random variables. Multidimens. Syst. Signal Process. 29(4): 1553-1561 (2018) - [c12]Jürgen Herp, Esmaeil S. Nadimi:
Dimensionality reduction by bayesian eigenvalue-analysis for state prediction in large sensor systems: with application in wind turbines. RACS 2018: 1-5 - [c11]Victoria Blanes-Vidal, Gunnar Baatrup, Esmaeil S. Nadimi:
Machine learning-based colorectal cancer detection. RACS 2018: 43-46 - 2017
- [j2]Jürgen Herp, Mohammad H. Ramezani, Esmaeil S. Nadimi:
Dependency in State Transitions of Wind Turbines - Inference on Model Residuals for State Abstractions. IEEE Trans. Ind. Electron. 64(6): 4836-4845 (2017) - [c10]Esmaeil S. Nadimi, Victoria Blanes-Vidal:
Upper bound performance of semi-definite programming for localisation in inhomogeneous media. MLSP 2017: 1-6 - [c9]Esmaeil S. Nadimi, Jürgen Herp, Maria M. Buijs, Victoria Blanes-Vidal:
Texture classification from single uncalibrated images: Random matrix theory approach. MLSP 2017: 1-6 - 2016
- [c8]Hamed Farhadi, Javid Atai, Mikael Skoglund, Esmaeil S. Nadimi, Kaveh Pahlavan, Vahid Tarokh:
An adaptive localization technique for wireless capsule endoscopy. ISMICT 2016: 1-5 - [c7]Saber Farajzadeh, Mohammad Hossein Ramezani, Peter Nielsen, Esmaeil S. Nadimi:
Statistical modeling of grid voltage fluctuations at wind turbine generator output by extreme value analysis. RACS 2016: 7-11 - 2015
- [c6]Esmaeil S. Nadimi, Jürgen Herp, Mohammad H. Ramezani:
Semi-definite programming-based localization algorithm in networks with inhomogeneous transmission medium. RACS 2015: 223-226 - [c5]Mohammad H. Ramezani, Victoria Blanes-Vidal, Esmaeil S. Nadimi:
Adaptive intra-body channel modeling of attenuation coefficient using transmission line theory. RACS 2015: 237-241 - [e3]Esmaeil S. Nadimi, Tomás Cerný, Sung-Ryul Kim, Wei Wang:
Proceedings of the 2015 Conference on research in adaptive and convergent systems, RACS 2015, Prague, Czech Republic, October 9-12, 2015. ACM 2015, ISBN 978-1-4503-3738-0 [contents] - 2014
- [c4]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh, Per Michael Johansen:
Bayesian-based localization of wireless capsule endoscope using received signal strength. EMBC 2014: 5988-5991 - [e2]Chao Lu, Esmaeil S. Nadimi, Sung-Ryul Kim, Wei Wang:
Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014, Towson, Maryland, USA, October 5-8, 2014. ACM 2014, ISBN 978-1-4503-3060-2 [contents] - 2013
- [c3]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Per Michael Johansen:
Bayesian-based localization in inhomogeneous transmission media. RACS 2013: 226-231 - [e1]Ching Y. Suen, Amir G. Aghdam, Minyi Guo, Jiman Hong, Esmaeil S. Nadimi:
Research in Adaptive and Convergent Systems, RACS'13, Montreal, QC, Canada, October 1-4, 2013. ACM 2013, ISBN 978-1-4503-2348-2 [contents] - 2012
- [c2]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh:
Semidefinite programming-based localization algorithm in networks with inhomogeneous media. RACS 2012: 191-196 - 2011
- [j1]Jakob Juul Larsen, Ole Green, Esmaeil S. Nadimi, Thomas Skjødeberg Toftegaard:
The Effect on Wireless Sensor Communication When Deployed in Biomass. Sensors 11(9): 8295-8308 (2011) - [c1]Esmaeil S. Nadimi, Victoria Blanes-Vidal, Vahid Tarokh:
Localization of mobile nodes based on inaccurate round-trip-time measurements using Bayesian inference. RACS 2011: 152-157
Coauthor Index
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