Prof. Dr. Henrique Coelho Fernandes

Profil

Derzeitige StellungProfessor W-1 und Äquivalente
FachgebietPolymere und biogene Werkstoffe und darauf basierende Verbundwerkstoffe,Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous and Wearable Computing
Keywordsnon-destructive testing, deep learning, infrared thermography, computational model, composite material

Aktuelle Kontaktadresse

LandBrasilien
OrtUberlandia
Universität/InstitutionUniversidade Federal de Uberlandia (UFU)
Institut/AbteilungFaculdade de Computacao

Gastgeber*innen während der Förderung

Prof. Dr.-Ing. Hans-Georg HerrmannZustandsüberwachung und Lebensdauermanagement, Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren (IZFP), Saarbrücken
Beginn der ersten Förderung01.03.2019

Programm(e)

2018CAPES-Humboldt-Forschungsstipendien-Programm für Postdocs

Publikationen (Auswahl)

2025Fagundes, P. N. and Silva, P. V. C. and Guilarducci, J. S. and Pimenta, L. C. J. P. and Murgas, L. D. S. and Resende, L. V. and Fernandes, H. and Malheiros, F. C.: A Comparative Study of Artificial Intelligence Classification Models for Analyzing Vitiligo Effects in Zebrafish (Danio rerio) Images. In: Journal of the Brazilian Computer Society (Online), 31, 2025, 629-639
2025Bardis, K. and Avdelidis, N. and Ibarra-Castanedo, C. and Maldague, X. and Fernandes, H.: Advanced Diagnostics of Aircraft Structures Using Automated Non-Invasive Imaging Techniques: A Comprehensive Review. In: Applied Sciences-Basel, 15, 2025, 3584
2025Rosa, R. G. and Barella, B. P. and Vargas, I. G. and Tarpani, J. R. and Herrmann, Hans-Georg and Fernandes, H.: Advanced Thermal Imaging Processing and Deep Learning Integration for Enhanced Defect Detection in CFRP Laminates. In: Materials, 18, 2025, 1448
2025Rivas, R. E. G. and Bertarini, P. L. L. and Fernandes, H.: Automated Coffee Roast Level Classification Using Machine Learning and Deep Learning Models. In: Journal of Food Science, 90, 2025, e70532
2025Hidayat, Z. and Avdelidis, Nicolas and Fernandes, H.: Brief Review of Vibrothermography and Optical Thermography for Defect Quantification in CFRP Material. In: Sensors, 25, 2025, 1847
2025Vargas, I. G. and Fernandes, H.: Composite Material Defect Segmentation Using Deep Learning Models and Infrared Thermography. In: Revista de Informática Teórica e Aplicada: RITA, 2025,
2025Moraes, M. F. B. and Sfarrra, S. and Fernandes, H. and Figueiredo, A. A. A.: Influence of thermal contrast and limitations of a deep-learning based estimation of early-stage tumour parameters in different breast shapes using simulated passive and dynamic thermography. In: Thermal Science and Engineering Progress, 60, 2025, 103418
2025Hidayat, Z. and Torbali, M. E. and Avdelidis, N. and Fernandes, H.: Low-Power Vibrothermography for Detecting Barely Visible Impact Damage in CFRP Laminates: A Comparative Imaging Study. In: Applied Sciences-Basel, 15, 2025, 8514
2025Rivas, R. E. G. and Melo, R. S. and Saide, S. M. and Backes, A. R. and Fernandes, H.: Rust detection in coffee leaves using Otsu’s method and mathematical morphology. In: Revista de Informática Teórica e Aplicada: RITA, 2025,
2025Vargas, I. G. and Fernandes, H.: Spatial and Temporal Deep Learning Algorithms for Defect Segmentation in Infrared Thermographic Imaging of Carbon Fiber-Reinforced Polymers. In: Nondestructive Testing and Evaluation, 41, 2025, 1-21
2024Wang, X. and Jinag, G. and Hu, J. and Mostacci, M. and Sfarrra, S. and Fernandes, H. and Avdelidis, N. and Maldague, X. and Zhang, H.: Automatic defect detection in infrared thermal images of ancient polyptychs based on numerical simulation and a new efficient channel attention mechanism aided Faster R-CNN model. In: Heritage Science, 12, 2024, 1-15
2024Pierre, M. M. and Fernandes, H. C.: Detection and classification of Brazilian vertical traffic signs and lights from a car using Single Shot Multibox Detector. In: Journal of the Brazilian Computer Society (Online), 30, 2024, 163-174
2024Barella, B. P. and Rosa, R. G. and Oliveira, G. M. B. and Fernandes, H.: Enhancing Fault Characterization in Composites Using Infrared Thermography: A Bee Colony Optimization Approach with Self-Organizing Maps. In: Quantitative InfraRed Thermography Journal, 22, 2024, 1-19
2024Figueiredo, A. A. A. and Dalessandro, G. and Perilli, S. and Sfarrra, S. and Fernandes, H.: Exploring the Potentialities of Thermal Asymmetries in Composite Wind Turbine Blade Structures via Numerical and Thermographic Methods: a thermophysical perspective. In: Journal of Thermal Analysis and Calorimetry (Online), 149, 2024, 1-15
2024Jiang, Guimin and Zhu, Pengfei and Gai, Yonggang and Jiang, Tingyi and Yang, Dazhi and Sfarrra, Stefano and Waschkies, Thomas and Osman, Ahmad and Fernandes, Henrique and Avdelidis, Nicolas P. and Maldague, Xavier and Zhang, Hai: Non-invasive inspection for a hand-bound book of the 19th century: Numerical simulations and experimental analysis of infrared, terahertz, and ultrasonic methods. In: Infrared Physics \& Technology, 140, 2024, 105353
2024Pereira, P. E. C. and Rezende, S. W. F. and Fernandes, H. and Moura Junior, J. R. V. and Finzi Neto, R. M.: On damage location techniques and future prospects for industrial applications utilizing the electromechanical impedance method: a systematic review. In: Journal of the Brazilian Society of Mechanical Sciences and Engineering, 46, 2024, 311
2023Garcia Sobrinho, R. A. and PiauHy-Neto, F. and Fernandes, H.: Public Database of Cracks Images in Mortar Coating with Different Types of Surface Finishes. In: Buildings, 13, 2023, 1872-1904
2022Goncalves, C. B. and Souza, J. R. and Fernandes, Henrique: CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images. In: Computers in Biology and Medicine, 142, 2022, 105205-105218
2022Yousefi, B. and Vigil, N. and Nouri, B. M. and Fernandes, H. and Ibarra-Castanedo, C. and Maldague, X.: Convex Factorization Embedding Thermography for Breast Cancer Diagnostic. In: IEEE Open Journal of Instrumentation \& Measurement, 2022,
2022Fernandes, H. and Zhang, H. and Quirin, S. and Hu, J. and Schwarz, M. and Jost, H. and Herrmann, H.-G.: Infrared thermographic inspection of 3D hybrid aluminium-CFRP composite using different spectral bands and new unsupervised probabilistic low-rank component factorization model. In: NDT \& E International, 125, 2022, 102561-102572
2021Fernandes, H. and Summa, J. and Daudre, J. and Rabe, U. and Sfarrra, S. and Gargiulo, G. and Herrmann, H.-G.: Characterization of Ancient Marquetry Using Different Non-Destructive Testing Techniques. In: Applied Sciences-Basel, 11, 2021, 7979-7991
2021Yousefi, B. and Hershman, M. and Fernandes, Henrique and Maldague, Xavier: Concentrated Thermomics for Early Diagnosis of Breast Cancer. Engineering Proceedings. 2021. 30-35
2021Wei, Z. and Fernandes, H. and Herrmann, H.-G. and Tarpani, Jos{\'e} R. and Osman, Ahmad: Deep learning method for impact damage segmentation of curve-shaped CFRP specimens inspected by infrared thermography. In: Sensors, 395, 2021, 395-413
2021Klein, Samuel and Fernandes, Henrique and Herrmann, Hans-Georg: Estimating Thermal Material Properties Using Solar Loading Lock-in Thermography. In: Applied Sciences-Basel, 11, 2021, 3097-4010
2021Silva, Leandro Soares and Fernandes, Henrique and Schwarz, Michael and Herrmann, Hans-Georg and Cavalini, Aldemir: Numerical and Non-Destructive Analysis of an Aluminum-CFRP Hybrid 3D Structure. In: Metals, 11, 2021, 1938-1950
2021Yousefi, B. and Akbari, H. and Hershman, M. and Kawakita, S. and Fernandes, H. and Ibarra-Castanedo, C. and Ahadian, S. and Maldague, X.: SPAER: Sparse Deep Convolutional Autoencoder Model to Extract Low Dimensional Imaging Biomarkers for Early Detection of Breast Cancer Using Dynamic Thermography. In: Applied Sciences-Basel, 11, 2021, 3248-3263
2020Chaves, Esdras and Gon{\c{c}}alves, Caroline and Albertini, Marcelo and Lee, Soojeong and Jeon, Gwanggil and Fernandes, Henrique: Evaluation of transfer learning of pre-trained CNNs applied to breast cancer detection on infrared images. In: Applied Optics, 59, 2020, E23-E28
2020Ignacio, L. H. S. and Malheiros, F. C. and Figueiredo, A. A. A. and Duarte, C. A. R. and Fernandes, H.: Heat flux estimation using simplified models by means of deviation time. In: International Communications in Heat and Mass Transfer, 114, 2020, 104592-104602
2020Figueiredo, Alisson A. A. and Fernandes, H. C. and Malheiros, F. C. and Guimaraes, G.: Influence analysis of thermophysical properties on temperature profiles on the breast skin surface. In: International Communications in Heat and Mass Transfer, 111, 2020, 104453-104446
2020Lee, S. and Son, C. and Albertini, M. K. and Fernandes, H. C.: Multi-phases and various feature extraction and selection methodology for ensemble gradient boosting in estimating respiratory rate. In: IEEE Access, 8, 2020, 125648-125658
2019Figueiredo, A. A. A. and Nascimento, J. G. and Malheiros, F. C. and Ignacio, L. H. S. and Fernandes, H. C. and Guimaraes, G.: Breast tumor localization using skin surface temperatures from a 2D anatomic model without knowledge of the thermophysical properties. In: Computer Methods and Programs in Biomedicine, 2019, 65-77
2019Malheiros, F. C. and Figueiredo, A. A. A. and Ignacio, L. H. S. and Fernandes, H. C.: Estimation of thermal properties using only one surface by means of infrared thermography. In: Applied Thermal Engineering, 2019, 113696
2019Duan, Y. and Zhang, H. and Sfarrra, S. and Avdelidis, N. and Loutas, T. and Sotiriadis, G. and Kostopoulos, V. and Fernandes, H. and Petrescu, F. and Ibarra-Castanedo, C. and Maldague, X.: On the Use of Infrared Thermography and Acousto-Ultrasonics NDT Techniques for Ceramic-Coated Sandwich Structures. In: Energies, 12, 2019, 2537
2019Liu, B. and He, L. and Zhang, H. and Sfarrra, S. and Fernandes, H. and Perilli, S. and Ren, J.: Quantitative study of magnetic memory signal characteristic affected by external magnetic field. In: Measurement, 131, 2019, 730-736