Localization of mobile nodes based on inaccurate round-trip-time measurements using Bayesian inference. - Esmaeil S. Nadimi; Victoria Blanes-Vidal; Vahid Tarokh (RACS, 2011)

The Effect on Wireless Sensor Communication When Deployed in Biomass. - Jakob Juul Larsen; Ole Green; Esmaeil S. Nadimi; Thomas Skjødeberg Toftegaard (Sensors, 2011)

Semidefinite programming-based localization algorithm in networks with inhomogeneous media. - Esmaeil S. Nadimi; Victoria Blanes-Vidal; Vahid Tarokh (RACS, 2012)

Bayesian-based localization in inhomogeneous transmission media. - Esmaeil S. Nadimi; Victoria Blanes-Vidal; Per Michael Johansen (RACS, 2013)

Bayesian-based localization of wireless capsule endoscope using received signal strength. - Esmaeil S. Nadimi; Victoria Blanes-Vidal; Vahid Tarokh; Per Michael Johansen (EMBC, 2014)

Semi-definite programming-based localization algorithm in networks with inhomogeneous transmission medium. - Esmaeil S. Nadimi; Jürgen Herp; Mohammad H. Ramezani (RACS, 2015)

Adaptive intra-body channel modeling of attenuation coefficient using transmission line theory. - Mohammad H. Ramezani; Victoria Blanes-Vidal; Esmaeil S. Nadimi (RACS, 2015)

An adaptive localization technique for wireless capsule endoscopy. - Hamed Farhadi; Javid Atai; Mikael Skoglund; Esmaeil S. Nadimi; Kaveh Pahlavan; Vahid Tarokh (ISMICT, 2016)

Statistical modeling of grid voltage fluctuations at wind turbine generator output by extreme value analysis. - Saber Farajzadeh; Mohammad Hossein Ramezani; Peter Nielsen; Esmaeil S. Nadimi (RACS, 2016)

Upper bound performance of semi-definite programming for localisation in inhomogeneous media. - Esmaeil S. Nadimi; Victoria Blanes-Vidal (MLSP, 2017)

Texture classification from single uncalibrated images: Random matrix theory approach. - Esmaeil S. Nadimi; Jürgen Herp; Maria M. Buijs; Victoria Blanes-Vidal (MLSP, 2017)

Dependency in State Transitions of Wind Turbines - Inference on Model Residuals for State Abstractions. - Jürgen Herp; Mohammad H. Ramezani; Esmaeil S. Nadimi (IEEE Trans. Ind. Electron., 2017)

Machine learning-based colorectal cancer detection. - Victoria Blanes-Vidal; Gunnar Baatrup; Esmaeil S. Nadimi (RACS, 2018)

Dimensionality reduction by bayesian eigenvalue-analysis for state prediction in large sensor systems: with application in wind turbines. - Jürgen Herp; Esmaeil S. Nadimi (RACS, 2018)

On the ratio of independent complex Gaussian random variables. - Esmaeil S. Nadimi; Mohammad H. Ramezani; Victoria Blanes-Vidal (Multidimens. Syst. Signal Process., 2018)

Comparison of Deep Learning-Based Recognition Techniques for Medical and Biomedical Images. - Tomás Majtner; Esmaeil S. Nadimi (CAIP (1), 2019)

On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. - Tomás Majtner; Buda Bajic; Joakim Lindblad; Natasa Sladoje; Victoria Blanes-Vidal; Esmaeil S. Nadimi (SCIA, 2019)

An Innovative Polyp Detection Method from Colon Capsule Endoscopy Images Based on A Novel Combination of RCNN and DRLSE. - Ashkan Tashk; Esmaeil S. Nadimi (CEC, 2020)

Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. - Esmaeil S. Nadimi; Maria M. Buijs; Jürgen Herp; Rasmus Kroijer; Morten Kobaek-Larsen; Emilie Nielsen; Claus D. Pedersen; Victoria Blanes-Vidal; Gunnar Baatrup (Comput. Electr. Eng., 2020)

Non-invasive detection of diabetic complications via pattern analysis of temporal facial colour variations. - Tomás Majtner; Esmaeil S. Nadimi; Knud Bonnet Yderstraede; Victoria Blanes-Vidal (Comput. Methods Programs Biomed., 2020)

Accelerating FPGA-Implementations for Mobile Medical Devices with high-level AI libraries: an Object Detection Model for Colorectal Polyp Images. - Sunyoung Yoo; Yunlong Wang 002; Jan-Matthias Braun; Esmaeil S. Nadimi (IST, 2021)

Video-based eye tracking performance for computer-assisted diagnostic support of diabetic neuropathy. - Luis David Avendaño-Valencia; Knud Bonnet Yderstraede; Esmaeil S. Nadimi; Victoria Blanes-Vidal (Artif. Intell. Medicine, 2021)

A locally-processed light-weight deep neural network for detecting colorectal polyps in wireless capsule endoscopes. - Yunlong Wang 002; Sunyoung Yoo; Jan-Matthias Braun; Esmaeil S. Nadimi (J. Real Time Image Process., 2021)

A CNN Architecture for Detection and Segmentation of Colorectal Polyps from CCE Images. - Ashkan Tashk; Kasim E. Sahin; Jürgen Herp; Esmaeil S. Nadimi (IPAS, 2022)

In-vivo Experimental Validation of the Attenuation Path Loss Model for Localization of Wireless Implanted Transmitters at 2.45 GHz. - Yana A. Salchak; Noor M. Albadri; Tracey Bjorkman; Cora Lau; Esmaeil S. Nadimi; Peter Bollen; Hugo G. Espinosa; David Victor Thiel (IEEE Access, 2022)

Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers - A Case Study in Prostate Cancer. - 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 (IEEE Access, 2023)

Efficient Knowledge Deletion from Trained Models through Layer-wise Partial Machine Unlearning. - Vinay Chakravarthi Gogineni; Esmaeil S. Nadimi (CoRR, 2024)

Towards Full Integration of Artificial Intelligence in Colon Capsule Endoscopy's Pathway. - Esmaeil S. Nadimi; Jan-Matthias Braun; Benedicte Schelde-Olesen; Emile Prudhomme; Victoria Blanes-Vidal; Gunnar Baatrup (CoRR, 2024)

A systematic review and research recommendations on artificial intelligence for automated cervical cancer detection. - Smith K. Khare; Victoria Blanes-Vidal; Berit Bargum Booth; Lone Kjeld Petersen; Esmaeil S. Nadimi (WIREs Data. Mining. Knowl. Discov., 2024)

Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations. - Smith K. Khare; Victoria Blanes-Vidal; Esmaeil S. Nadimi; U. Rajendra Acharya (Inf. Fusion, 2024)

An explainable attention model for cervical precancer risk classification using colposcopic images. - Smith K. Khare; Berit Bargum Booth; Victoria Blanes-Vidal; Lone Kjeld Petersen; Esmaeil S. Nadimi (Comput. Methods Programs Biomed., 2025)