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Matteo Menolotto
Matteo Menolotto
Tyndall National Institute
Verified email at tyndall.ie
Title
Cited by
Cited by
Year
Motion capture technology in industrial applications: A systematic review
M Menolotto, DS Komaris, S Tedesco, B O’Flynn, M Walsh
Sensors 20 (19), 5687, 2020
1902020
A review of feature-based retinal image analysis
KC Jordan, M Menolotto, NM Bolster, IAT Livingstone, ME Giardini
Expert Review of Ophthalmology 12 (3), 207-220, 2017
312017
Towards the development of a wearable electrical impedance tomography system: A study about the suitability of a low power bioimpedance front-end
M Menolotto, S Rossi, P Dario, L Della Torre
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
92015
An imaging-based autorefractor
M Menolotto, IAT Livingstone, ME Giardini
2021 IEEE International Instrumentation and Measurement Technology …, 2021
22021
Validation of Endurance Model for Manual Tasks *
P O’Sullivan, M Menolotto, B O’Flynn, DS Komaris
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
12023
Estimation of Maximum Shoulder and Elbow Joint Torques Based on Demographics and Anthropometrics
P O'sullivan, M Menolotto, B O'Flynn, DS Komaris
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
12022
Synthetic stereo images of the optic disc from the CORD dataset
I Coghill, KC Jordan, M Menolotto, RA Black, IAT Livingstone, ME Giardini
41st Annual International Conference of the IEEE Engineering in Medicine and …, 2019
12019
A dataset for fatigue estimation during shoulder internal and external rotation movements using wearables
MN Yasar, M Sica, B O’Flynn, S Tedesco, M Menolotto
Scientific Data 11 (1), 433, 2024
2024
AI-Based Task Classification With Pressure Insoles for Occupational Safety
P O’Sullivan, M Menolotto, A Visentin, B O’Flynn, DS Komaris
IEEE Access, 2024
2024
Open Access Database of Industry 4.0 Tasks for the Development of AI-Based Classifier
F Mongelli, M Menolotto, B O'Flynn, D Demarchi
2023 Smart Systems Integration Conference and Exhibition (SSI), 1-5, 2023
2023
The use of datasets of bad quality images to define fundus image quality
M Menolotto, ME Giardini
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
2022
Artifact removal in digital retinal images
M Menolotto
2020
Comprehensive Ophthalmic Research Database (CORD): a new framework for open access ophthalmic data
M Menolotto, KC Jordan, I Coghill, IAT Livingstone, K Gilmour, ...
Scottish Ophthalmology Club Spring Meeting 2019, 2019
2019
Improving Dynamic Endurance Time Predictions for Shoulder Fatigue: A Comparative Evaluation
P O'Sullivan, M Menolotto, B O'Flynn, DS Komaris
Available at SSRN 4835334, 0
Livingstone, Iain AT and Giardini, Mario E (2017) A review of feature-based retinal image analysis. Expert Review of Ophthalmology, 12 (3). pp. 207-220. ISSN 1746-9899
KC Jordan, M Menolotto, NM Bolster
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