Lemire, Daniel; Mezghani, Neila; Boissières, Élodie; Godin, Robert; Louafi, Habib; Osei, Richmond; Shuraida, Shadi; Schmitt, Renée-Maria et Vieru, Dragos (2024). La science des données: Théorie et applications avec R et Python. ISBN 979-8-3257-7723-3

J.A. de Guise, N. Mezghani, R. Aissaoui and N. Hagemeister, “Understanding Osteoarthritis from Bench to Bedside: New comprehensive methods for the biomechanical analysis of knee osteoarthritis”, 2011: 85-102 ISBN: 978-81-308-0459-0. Editors: J. Martel-Pelletier and J.P. Pelletier.

Jemal, I.; Abou-Abbas, L.; Henni, K.; Mitiche, A.; Mezghani, N. (2024). Domain adaptation for EEG-based, cross-subject epileptic seizure prediction. Front. Neuroinform.18(1303380): 1-14.

Abou-Abbas Lina, Hagemeister Nicola, Ouakrim Youssef, Cagnin Alix, Laundry Philippe, Richardson Glen, Dunbar Michael J. and Mezghani Neila. (2024). Unveiling distinct kinematic profiles among total knee arthroplasty candidates through clustering technique. J Orthop Surg Res. 19(479): 1-12.

Lina Abou-Abbas, Khadidja Henni, Imene Jemal, Neila Mezghani. (2024). Generative AI with WGAN-GP for Boosting Seizure Detection Accuracy. Front. Artif. Intell.7

Lalonde-Larocque, D., Mezghani, N., Bureau, N. J., Aissaoui, R., & Hagemeister, N. (2024). Triaxial knee joint kinematics estimation from inertial measurement units using LSTM neural networks.hal-04738000.

Gérard, M., Dubois, G., Hanne-Poujade, S., Mezghani, N., & Chateau, H. (2024). Automatic gait classification for equine lameness detection using transfer learning.hal.science. 1,

Cagnin, A.; Choinière, M.; Bureau, N. J.; Durand, M.; Mezghani, N.; Gaudreault, N.; Hagemeister, N. (2023). Targeted exercises can improve biomechanical markers in individuals with knee osteoarthritis: A secondary analysis from a cluster randomized controlled trial. The Knee. 40: 122-134.

Abou-Abbas, L., Henni, K., Jemal, I., Mitiche, A., & Mezghani, N. (2023). Patient-independent epileptic seizure detection by stable feature selection.Expert Systems with Applications. 232: 120585.

Ben Arous, M.; Haddar, I.; Truong, A.; Ayena, JC.; Ouakrim, Y.; El Kamel, L.; Chikhaoui, B. and Mezghani, N. (2023). Non-invasive wearable devices for urinary incontinence detection—a mini review. Frontiers in Sensors. 4(1279158): 1-7.

Hatrisse, C.; Macaire, C.; Hebert, C.; Hanne-Poujade, S.; De Azevedo, E.; Audigié, F.; Ben Mansour, K.; Marin, F.; Martin, P.; Mezghani, N.; Chateau, H. and Chèze, L. (2023). A Method for Quantifying Back Flexion/Extension from Three Inertial Measurement Units Mounted on a Horse’sWithers, Thoracolumbar Region, and Pelvis. Sensors. 23(9625): 1-14.

Z Bensaddek, N Mezghani, K Loulou, Y Ouakrim, A Cagnin, NJ Bureau, N Hagemeister. (2023). Phenotypes Based On Kinematic Profiles In Individuals With Mid-To Late-Stage Knee Osteoarthritis. Osteoarthritis and Cartilage. 31: S141-S142.

Jemal, I.; Mezghani, N.; Abou-Abbas, L.; Mitiche, A. (2022). An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data. IEEE Access. 10: 60141-60150.

Abou-Abbas, L.; Jemal, I.; Henni, K.; Ouakrim, Y. Mitiche, A. Mezghani, N. (2022). EEG Oscillatory Power and Complexity for Epileptic Seizure Detection. Applied Sciences. 12(9): 4181.

Bensalma, F.; Mezghani, N. Cagnin, A.; Fuente, A. Lenoir, L.; Hagemeister, N. (2022). Multimodal data analysis of knee osteoarthritis assessment: factors selection for conservative care decision making. Computer Methods in Biomechanics and Biomedical Engineering. 26(4): 450-459.

Mezghani, N.; Soltana, R.; Ouakrim, Y.; Cagnin, A.; Fuentes, A. Hagemeister, N.; Venditolli, P.-A. (2022). Phenotypes In 3D Knee Kinematics Of Healthy Individuals: Identification And Characterization: 1160. Medicine & Science in Sports & Exercise. 54(9S): 284.

Hagemeister, N.; Lenoir, L.; Cagnin, A.; Segal, NA.; Mezghani, N. (2022). Associations between biomechanical markers from a knee kinesiography exam and patient outcome measures: A comprehensive review. Osteoarthritis and Cartilage. 30: S135.

Bensalma, F.; Hagemeister, N.; Cagnin, A.; Ouakrim, Y.; Bureau, N. J.; Choinière, M.; Mezghani, N. (2022). Biomechanical markers associations with pain, symptoms, and disability compared to radiographic severity in knee osteoarthritis patients: a secondary analysis from a cluster randomized controlled trial. BMC Musculoskeletal Disorders. 23(1): 896.

Cagnin, A.; Mezghani, N.; Choinière, M.; Bureau, N.J.; Hagemeister, N. (2022). Home-based neuromuscular exercises can address biomechanical markers linked to knee osteoarthritis: A secondary analysis from a cluster randomized controlled trial. Osteoarthritis and Cartilage. 30: S136–S137.

Bensalma F, Hagemeister N, Cagnin A, Ouakrim Y, Fuentes A, Mezghani N, Choinière M, Bureau N, Durand M, Gaudreault N. (2021). Musculoskeletal and biomechanical characteristics are better associated with knee clinical condition than radiographic severity in osteoarthritis patients. Osteoarthritis and Cartilage. 29: S265-S267.

Mezghani, N.; Soltana, R. Ouakrim, Y.; Cagnin, A.; Fuentes, A.; Hagemeister, N.; Vendittoli, P.-A. (2021). Healthy knee kinematic phenotypes identification based on a clustering data analysis. Applied Sciences. 11(24): 12054.

Tlili F, Haddad R, Bouallegue R, Mezghani N. (2021). A Real-time Posture Monitoring System Towards Bad Posture Detection. Wireless Personal Communications. 1: 1-21.

Mezghani, M; Hagemeister, N; Ouakrim, Y; Cagnin, A; Fuentes, A; Mezghani N. (2021). 3D kinematics and decision trees to predict the impact of a physical exercise program on knee osteoarthritis patients. Applied Sciences (Switzerland). 11(2): 1-12.

Benamor, J; Mezghani, N; Periago, MJ; Navarro-Gonzalez, I; Elvira-Torales, LI; Ouakrim, Y; Tarchoun, N. (2021). Variations in the sugars and antioxidant compounds related to root colour in tunisian carrot (daucus carota subsp. sativus) landraces. Italian Journal of Food Science. 32(3): 1-20.

Ben Nasr, M. C.; Ben Jebara, S.; Otis, S.; Abdulrazak, B.; Mezghani, N. (2021). A spectral-based approach for bcg signal content classification. Sensors. 21(3): 1020.

Abid, M; Khabou, A ; Ouakrim, Y ; Watel, H ; Chemkhi, S ; Mitiche, A ; Benazza-Benyahia, A ; Mezghani, N. (2021). Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers. Sensors. 21(14): 1-26.

Chikh-Rouhou, H; Mezghani N; Mnasri, S; Mezghani N; Garcés-Claver, A. (2021). Assessing the Genetic Diversity and Population Structure of a Tunisian Melon (Cucumis melo L.) Collection Using Phenotypic Traits and SSR Molecular Markers. Agronomy. 11(6): 1121.

Jemal, I.; Mitiche, A.; Mezghani, N. (2021). A study of eeg feature complexity in epileptic seizure prediction. Applied Sciences. 11(4): 1579.

Henni, H; Mezghani, N; Mitiche, A. (2020). Cluster Density Properties Define a Graph for Effective Pattern Feature Selection. IEEE Access. 8: 62841-62854.

Bensalma F, Glen R, Dunbar M, Ouakrim Y, Fuentes, Hagemeister N, Mezghani N. (2020). A combined visualization method for multivariate data analysis. Application to knee kinematic and clinical parameters relationships. Applied Sciences. Special issue : The Application of Data Mining to Health Data. 10(15): 1762.

Bensalma, F; Mezghani, N; Ouakrim, Y; Fuentes, A; Choinière, M; Bureau, N; Durand, M; Hagemeister, N. (2019). A Multivariate Relationship Between the Kinematic and Clinical Parameters of Knee Osteoarthritis Population. BioMedical Engineering OnLine. 18(1): 58.

Ben Nouma B, Mitiche A, Mezghani N. (2019). A Sample-encoding Kohonen Associative Memory and Application to Knee Kinematic Data Representation and Pathology Classification. Applied Science. 9: 1741.

Mezghani, N; Spooner, DM; Mezghani, N; Simon, PW; Ruess, H; Ben Amor, J; Tarchoun, N. (2019). Biodiversity and conservation of carrot wild relatives in Tunisia: An overview. Acta Horticulturae. 1264: 143.

Ben Nouma B, Mitiche A, Ouakim O, Mezghani N. (2019). Pattern Classification by the Hotelling Statistic and Application To Knee Osteoarthritis Kinematic Signals. Machine Learning and Knowledge Extraction. 1(9): 768-784.

Clément J, Blakeney W, Hagemeister N, Desmeules F, Mezghani N, Lowry V, Venditolli PA. (2019). HipKnee-Ankle (HKA) Angle Modification During Gait in Healthy Subjects. Gait and posture. 72: 62-68.

Abid M, Mezghani N, Mitiche M. (2019). Knee Joint Biomechanical Gait Data Classification for Knee Pathologies Asseement: A literature Review. Journal of Applied Bionics and Biomechanics. 747203: 1-14.

Abid M, Mitiche A, Ouakrim Y, Venditolli PA, Hagemeister N, Mezghani N. (2019). Application of end-toend deep learning models to distinguish osteoarthritic from asymptomatic knee kinematic data. Artificial Intelligence in Medicine.

Cagnin A, Choinière M, Bureau NJ, Durand M, Mezghani N, Gaudreault N, Hagemeister N. (2019). A multiarm cluster randomized clinical trial of the use of knee kinesiography in the management of osteoarthritis patients in a primary care setting. Postgraduate Medicine. 131(6): 1-11.

Henni K, Mezghani N, Gouin-Vallerand C, Ruer P, Ouakrim Y, Vallières E. (2018). Feature Selection for Driving Fatigue Characterization and Detection Using Visual and Signal based Sensors. Applied Informatic. 5(7): 1-10.

Ben Nouma B, Mitiche A, Ouakrim Y, Mezghani N. (2018). Knee kinematic Curve Representation and Application to Knee Pathology Classification. Journal of Biomedical Engineering and Informatics. 4(1): 33-39.

Mezghani N, Mechmeche I, Mitiche A, Ouakrim Y, de Guise JA. (2018). An Analysis of 3D Knee Kinematic Data Complexity in Knee Osteoarthritis and Asymptomatic Controls. PloSOne. 13(10): e0202348.

K. Henni, N. Mezghani, C. Gouin-Vallerand, Unsupervised graph-based feature selection via subspace and pagerank centrality, Expert Systems with Applications, Vol. 114, 46-53, 2018, ISSN 0957-4174, doi:10.1016/j.eswa.2018.07.029. [PDF]

N. Mezghani, Y. Ouakrim, A. Fuentes, A. Mitiche, N. Hagemeister and J.A. de Guise, Mechanical biomarkers of medial compartment knee osteoarthritis diagnosis and severity grading: discovery phase". Accepté Journal of biomechanics, Novembre 2016, Vol. 52, 106-112, 2017. [PDF]

Najla Mezghani, J. Ben Amor, D.M. Spooner, P.W. Simon, N. Mezghani, H. Boubaker, A.M. Namji, N. Tarchoun. Multivariate analysis of morphological diversity among closely related Daucus species and subspecies in Tunisia”. Genetic Resources and Crop Evolution. March 2017. [PDF]

L. Ayoubian, A. Fuentes, G. Grimard, J.A. de Guise, N. Mezghani, (2016). 3D knee kinematics variability pre-operation versus post-operation in adolescence with Anterior Cruciate Ligament injury using functional principle component analysis. Internal Medecine Review, Vol. 2, No. 11, Novembre 2016. [PDF]

N. Mezghani, N. Gaudreault, A. Mitiche, L. Ayoubian, Y. Ouakrim, N. Hagemeister, and J.A De Guise, “Kinematic gait analysis of workers exposed to knee straining postures by Bayes decision rule”, Journal of Artificial Intelligence Research, Vol. 4, No. 2, pp: 106 – 111, 2015. [PDF]

P. Phan, N. Mezghani, E. Wai, J.A. de Guise, H. Labelle, “A rule-based algorithm can efficiently output surgical strategy alternatives in the treatment of AIS”. European Spine Journal, Vol. 24, No. 7, 1370-1381, 2015. [PDF]

N. Mezghani, A. Fuentes, N. Gaudreault, A. Mitiche, N. Hagemeister, R. Aissaoui, and J.A De Guise, “Identification of knee frontal plane kinematic patterns in normal gait by principal component analysis”, Journal of Mechanics in Medicine and Biology, Vol. 13, No. 3, pp: 284-291, 2013.

N. Gaudreault, Fuentes A, N. Mezghani, O. Gauthier, K. Turcot. “Relationship between knee gait kinematics and lower limb muscle flexibility in runners”. Journal of sports Rehabilitation, Vol. 22, No. 4, pp: 279-287, 2013.

P. Phan, N. Mezghani, E. Wai, J.A. de Guise, H. Labelle, “Artificial neural networks can generate a clinically relevant classification for Adolescent Idiopathic Scoliosis, leading to treatment recommendations similar to Lenke classification”, The Spine journal, 13 (11), 1527-1533, 2013. [PDF]

N. Mezghani, A. Mitiche and M. Cheriet, “Maximum entropy Gibbs density modeling for pattern classification”, Entropy, Vol. 14, No. 12, pp: 2478-2491, 2012.

N. Mezghani, P. Phan, A. Mitiche, H. Labelle and J.A. de Guise, “A Kohonen neural network description of scoliosis fused region and their corresponding Lenke classification”, International Journal of Computer assisted radiology and surgery, Vol. 7, No. 2, pp: 257-264, 2012.

N. Gaudreault, N. Mezghani, K. Turcot, K. Boivin, N. Hagemeister, J.A. de Guise “Effects of physiotherapy treatment on knee OA gait data using principal component analysis”. Clinical Biomechanics, Vol. 26, No. 3, pp: 284-291, 2011.

P. Phan, N. Mezghani, M.L Nault, C.E. Aubin, S. Parent, J.A. de Guise, H. Labelle, “A decision tree can increase speed and accuracy for classification of adolescent idiopathic scoliosis”, The Spine journal, Vol. 35, No. 10, pp: 1154-1159, 2010.

P. Phan, N. Mezghani, C.E. Aubin, J.A. de Guise, H. Labelle, “A review of computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis”, European Spine Journal, Vol. 20, No. 7, pp: 1058-1068, 2010.

D.R. Labbé, J.A. de Guise, N. Mezghani, V. Godbout, G. Grimard, D. Baillargeon, P. Lavigne, J. Fernandes, P. Ranger, N. Hagemeister, “Feature Selection Using a Principle Component Analysis of the Kinematics of the Pivot Shift Phenomenon in the Knee”.  Journal of Biomechanics, Vol. 43, No 16, pp: 3080-3084, 2010.

D.R. Labbe, J.A. de Guise, N. Mezghani, V. Godbout, G. Grimard, D. Baillargeon, P. Lavigne, J. Fernandes, P. Ranger, N. Hagemeister, “Classification method for automatic and objective attribution of the pivot shift grade”. Journal of Biomechanics, Vol. 44, No 1, pp: 1-5, 2010.

N. Mezghani, A. Mitiche and M. Cheriet, “Bayes classification of online Arabic characters by Gibbs modelling of class conditional densities”, IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol. 30, No. 7, pp: 1121-1131, 2008.

N. Mezghani, S. Husse, K. Boivin, K. Turcot, N. Hagemeister, R. Aissaoui, and J.A De Guise, “Automatic classification of asymptomatic and osteoarthritis knee gait patterns using kinetic data features and the nearest neighbour classifier”, IEEE Transactions on Biomedical Engineering. Vol. 55, No. 3, pp: 1230-1232, 2008.

N. Mezghani, R. Chav, L. Humbert, S. Parent, W. Skalli, and J. A. De Guise, “A computer-based classifier of three-dimensional spinal scoliosis severity”,  International Journal of Computer assisted radiology and surgery .Vol. 3, No. 1-2, pp: 55-60, 2008.

N. Mezghani, S. Husse, K. Boivin, K. Turcot, N. Hagemeister, R. Aissaoui, M. Pelletier, and J.A De Guise, “Hierarchical analysis and classification of asymptomatic and knee osteoarthritis gait patterns using a wavelet representation of kinetic data and the nearest neighbour classifier”, Journal of Mechanics in Medicine and Biology. Vol. 8, No. 1, pp: 45-54, 2008.

N. Mezghani, A. Mitiche and M. Cheriet, “A new representation of shape and its use for superior performance in on-line Arabic character recognition by an associative memory”, International Journal on Document Analysis and Recognition, Vol. 7, No. 4, pp: 201-210, 2005.

N. Mezghani et A. Mitiche, “Reconnaissance de caractères manuscrits par un réseau neuromimétique de Kohonen”, Journal Marocain d’Automatique, d’Informatique, et de Traitement du Signal, Vol. 3, No. 1, 2002

Najla Mezghani, J. Ben Amor, D.M. Spooner, P.W. Simon, N. Mezghani, H. Boubaker, A.M. Namji, N. Tarchoun. Multivariate analysis of morphological diversity among closely related Daucus species and subspecies in Tunisia". Genetic Resources and Crop Evolution (En révision : GRES-D-16-00466.R1, décembre 2016.

N. Mezghani, D. Billard, A. Fuentes, N. Hagemeister, « A biomechanical analysis of the Impact of Knee osteoarthritis on hip and ankle kinematics ». Soumis à Journal of Biomedical Engineering and Informatics, décembre 2016.

N. Mezghani, Y. Ouakrim, Md. R. Islam, R. Yared, B. Abdulrazzak, "Context aware adaptable approach for fall detection bases on smart textile". Soumis à IEEE International Conference on Biomedical and Health Informatics, Février 2017.

É. Vallières, J. Bergeron, P. Ruer, C. Gouin-Vallerand, P.M Duff, and N. Mezghani. “Speed among older drivers: A simulator and on-road study comparison”. The Road Safety and Simulation conference, Octobre 2017.

P. Ruer, É. Vallières, J. Bergeron, N. Mezghani, C P.M Duff, and Gouin-Vallerand, and. “The impact of age and duration of driving time for elderly drivers: an experimental study on simulator”. The Road Safety and Simulation conference, Octobre 2017.

Aruny Pathammavong, David R. Labbé, Neila Mezghani, Luc Duong. Estimating Spinal Position in 3D Using a Connected Garmentto Assess Bracing Fit for Adolescent Idiopathic Scoliosis. 3DBODY.TECH Journal – Vol. 1, 2024. The 15th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Lugano, Suisse.

J. Benamor, N. Mezghani, D. Palma, A. Bettayb, N. Mezghani, E. Geoffriau, P.W. Simon, S. Sestili, and N. Tarchoun (2024). Unlocking the genetic diversity in Tunisian carrot (Daucus carota subsp. sativus) using phenotypic and molecular markers. ISHS Acta Horticulturae 1393: III International Symposium on Carrot and Other Apiaceae, York, United Kingdom, (231-238).

N. Mezghani, J.B. Amor, P.W. Simon, N. Mezghani, C.K. Khoury, D. Carver, N. Tarchoun (2024). Carrot wild relatives in Tunisia: genetic diversity and potential for climate change adaptation. ISHS Acta Horticulturae 1393: III International Symposium on Carrot and Other Apiaceae, York, United Kingdom, (313-319).

Henni, K., Abou-Abbas, L., Jmal, I., Mitiche, A., & Mezghani, N. (2024). Imbalance-aware Machine Learning for Epileptic Seizure Detection. IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC), Marrakech, Maroc.

Jebara, S. B., Ouakrim, Y., Dixon, P. C., & Mezghani, N. (2024, May). On the Use of Hidden Markovian Model to Detect Cough from Respiratory Signals. IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC), Marrakech, Maroc.

Belhaj Messaoud, I.; Ben Cheikh, E.; Chiboub, A.; Loulou, K.; Ouakrim, Y.; Ben Jebara, S.; Mezghani, N. Machine Learning based Approaches for Cough Detection From Acceleration Signal. 2023 IEEE Int. conference on cyberworlds, Sousse, Tunisie.

Coulombe, A.; Guérineau, J.; Mezghani, N. (2023). Smart apparel design for urinary incontinence detection. IOP Conference Series: Materials Science and Engineering. 8th International Conference on Intelligent Textiles & Mass Customisation, Montreal, Canada (012007).

Hagemeister, N.; Zeni Jr, J.; Cagnin, A.; Crescenzo, Sh.; Mezghani, N. (2022). Knee kinesiography exam: literature review of an innovative dynamic assessment of knee dysfunctions: towards functional imaging. Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging. Proceedings in Biomedical, Optics and Imaging, Californie, États-Unis d’Amérique (401–405). SPIE

Jemal, I.; Mitiche, A.; Abou-Abbas, L.; Henni, K.; Mezghani, N. (2021). An Effective Deep Neural Network Architecture for Cross-Subject Epileptic Seizure Detection in EEG Data. Proceedings of CECNet 2021. The 11th International Conference on Electronics, Communications and Networks (CECNet), (54–62). IOS.

Abou-Abbas, L.; Jemal, I.; Henni, K.; Mitiche, A.; Mezghani, N. (2021). Focal and generalized seizures distinction by rebalancing class data and random forest classification. Bioengineering and Biomedical Signal and Image Processing: First International Conference, BIOMESIP 2021, Meloneras, Grande Canarie, Espagne (63–70).

Bensalma, F; Richardson, G; Ouakrim, Y; Fuentes, A; Dunba, M; Hagemeister, N; Mezghani, N. (2020). Graphical-based multivariate analysis for knee joint clinical and kinematic data correlation assessment. Proceeding of IEEE. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), (5362-5368).

Ben Nasr, M.C.; Ben Jebara, S. Otis, S.; Abdulrazak, B.; Mezghani, N. (2020). Respiratory Activity Classification Based on Ballistocardiogram Analysis. The Impact of Digital Technologies on Public Health in Developed and Developing Countries. 18th International Conference, ICOST 2020, Hammamet, Tunisie.

Mezghani M, Hagemeister N, Kouki A, Ouakrim Y, Mezghani N. (2020). Prediction of the impact of physical exercises on osteoarthritis knee using kinematic signals analysis and decision trees. 13th International Joint Conference on Biomedical Engineering Systems and Technologies – Biostec 2020, Valetta, Malte.

Chaari M, Abid M, Ouakrim Y, Mezghani N. (2020). A Mobile Application for Physical Activity Recognition Using Acceleration Data from Wearable Sensors for Cardiac Rehabilitation. SCITEPRESS Digital Library.

Mezghani M, Hagemeister N, Kouki A, Ouakrim Y, Mezghani N. (2020). Prediction of the impact of physical exercise on osteoarthritis of the knee, using kinematic signal analysis and decision trees. Springer. 13th International Conference on Bio-inspired Systems and Signal Processing, Valetta, Malte.

Abid M, Mitiche A, Ouakrim Y, Vendittoli PA, Fuentes A, Hagemeister N, Mezghani N. (2019). A comparative study of end-to-end discriminative deep learning models for knee joint kinematic time series classification. 2019 IEEE Signal Processing in Medicine and Biology Symposium, Pennsylvania, États-Unis d’Amérique.

Otis S, Mezghani N, Abdulrazak B, Ben Jebara S, Tournoux F. (2019). Smart Mat for Respiratory Activity Detection : Study in Clinical Setting. Springer. 17th International Conference On Smart Living and Public Health (ICOST 2019), New York City, États-Unis d’Amérique.

Abid M, Mezghani N, Ouakrim Y. (2019). Representative Knee Kinematic Patterns Identification Using Within-Subject Variability Analysis. Computer Methods in Biomechanics and Biomedical Engineering, New York, États-Unis d’Amérique (382).

Tlili F, Haddad R , Bouallegue R, Ouakrim Y, Mezghani N. (2018). A review on posture monitoring systems. IEEE SmartNets, Hammamet, Tunisie.

Henni K, Mezghani N, Gouin-Vallerand C, Ruer P, Ouakrim P, Vallière E. (2018). Driving Fatigue Characterization using Feature Ranking. IEEE 9th International Symposium on Signal, Image, Video and Communications ISIVC, Rabat, Maroc.

Otis S, Mezghani N, Abdulrazak B, Tournoux F, de Guise JA. (2018). Comparative Study of Heart Rate Extraction Methods for a Novel Intelligent Mattress. 9th International Symposium on Signal, Image, Video and Communications ISIVC, Rabat, Maroc.

Saidani S, Haddad R, Mezghani N, Bouallegue R. (2018). A Survey on smart shoe insole systems. IEEE SmartNets, Hammamet, Tunisie.

Cherif N, Ouakrim Y, Benazza-Benyahia A, Mezghani N. (2018). Physical Activity Classification Using a Smart Textile. IEEE Life Science 2018, Montréal, Canada.

Bensalma F, Dunbar M, Whynot S, Fuentes A, Macdonald H, Ouakrim Y, Richardson G, Mezghani N. (2018). Correlations Between Kinematics and Clinical Measures in end-staged Knee Osteoarthritis Patients. The 20th Biennial Meeting of the Canadian Society for Biomechanics (CSB), Halifax, Canada (P074).

Elforaici MA, Chaaraoui I, Bouachir W, Ouakrim Y, Mezghani N. (2018). Posture Recognition Using an RGB-D Camera: Exploring 3D Body Modeling and Deep Learning Approaches. IEEE Life Science 2018, Montréal, Canada.

Zgolli F, Henni K, Haddad R, Mitiche a, Ouakrim Y, Hagemeister N, Vendittoli PA, Mezghani N. (2018). Kinematic Data Clustering for Healthy Knee Gait Characterization. IEEE Life Science, Montréal, Canada.

Mezghani N, Bensalma F, Dunbar M, Whynot S, Fuentes A, Macdonald H, Ouakrim Y, Richardson G. (2018). Correlations between kinematics and clinical measures in end-staged knee osteoarthritis patients. International Society of Orthopaedic Surgery and Traumatology. 39th SICOT Orthopaedic World Congress, Montreal, Canada.

Tlili F, Haddad R, Bouallegue R, Ouakrim Y, Mezghani N. (2018). A survey on sitting posture monitoring. 9th International Symposium on Signal, Image, Video and Communications ISIVC, Rabat, Maroc.

Ouakrim Y, Dunbar M, Fuentes A, Whynot S, Macdonald H, Richardson G, Mezghani N. (2018). Classification Tool Identifying Knee Arthroplasty Candidates Based on Kinematic Data and Gender. The 20th Biennial Meeting of the Canadian Society for Biomechanics (CSB), Halifax, Canada, Date de la conférence: 2018/8.

Clarisse B, Hagemeister N, Mezghani N, Tétreault P, Skalli W. (2018). Lien entre lamorphologie de la scapula, le diagnostic imagerie et la fonction de l’épaule. 37 Journées POES, Montréal, Canada.

Riahi D, Bouachir W, Ouakrim Y, Mezghani N. (2018). Depth Imaging System for Human Posture Recognition. IEEE Middle East Conference on Biomedical Engineering (MECBME), Hammamet, Tunisie.

Ben Nouma B, Mitiche A, Ouakrim Y, Mezghani N. (2018). Knee Kinematic Curve Representation and application to knee pathology classification. The ACM second Mediterranean Conference on Pattern Recognition and Artificial Intelligence, Rabat, Maroc.

Ben Arous, MA; Dunbar, D; Arfaoui, S; Mitiche, A; Ouakrim, Y; Fuentes, A; Mezghani, N. (2018). Knee Kinematics Feature Selection for Surgical and Nonsurgical Arthroplasty Candidate Characterization. 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Fumchal, Portugal.

Cherif NH, Mezghani N, Gaudreault N, Ouakrim Y, Mouzoune I, Boulay P. (2018). Physiological Data Validation of the Hexoskin Smart Textile. 11th International Joint Conference on Biomedical Engineering Systems and Technologies, Funchal, Portugal.

M. Dunbar, N. Mezghani, Y. Ouakrim, A. Fuentes, H. Macdonald, S. Whynot, and G. Richardson “Objective Knee Functional Assessment to Document Appropriateness for Total Knee Arthroplasty”, The 26^th annual meeting of the American Academy of Orthopaedic Surgeons (AAOS), November 2016 (taux d’acceptation 200/1830).

N. Mezghani, Y. Ouakrim, A. Fuentes, A. Mitiche, S. Whynot, G. Richardson and M. Dunbar, "Biomechanical signal classification of surgical and non-surgical candidates for knee arthroplasty”, The IEEE International Symposium on signal, Image, Video and Communication (ISIVC) 2016, November 2016.

I. Mechmeche, A. Mitiche, Y. Ouakrim, J.A. de Guise, N. Mezghani, "Data Correction to Determine a Representative Pattern of a Set of 3D Knee Kinematic Measurements”, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 884-887, August 2016.

C. Coulombe, G. Paquette and N. Mezghani, " Improving MOOCs’ Perseverance and Completion Rates Using Best Practice Design Principles”, 14th International Conference on Education and Information Systems, Technologies and Applications (EISTA 2016), July 2016.

N. Mezghani, Y. Ouakrim, A. Fuentes, A. Mitiche, N. Hagemeister and J.A. de Guise, “Severity grading mechanical biomarkers of knee osteoarthritis”, Ostearthritis and cartilage 24, S125-S126, Avril 2016.

M. Dunbar, N. Mezghani, Y. Ouakrim, A. Fuentes, H. Macdonald, S. Whynot, and G. Richardson “Objective Classification of Surgical and Non-surgical Candidates for Arthroplasty Using 3D Knee Kinematics”, The COA/CORS Annual Meeting, June 2016

S. Ben Makhlouf, N. Mezghani, N. Kara, "Towards the Identification of Players’ Profiles Using Game’s Data Analysis Based on Regression Model and Clustering", IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Paris, France, Aout 2015

É. Vallières, P. Ruer, J. Bergeron, P. MC Duff, C. Gouin-Vallerand, K. Ait-Seddik, and N. Mezghani. “Perceived Fatigue among Aging Drivers: An Examination of the Impact of Age and Duration of Driving Time on a Simulation”. 2nd International conference on education, social sciences and humanities. Turquie, Juin, 2015.

C. Gouin-Vallerand, N. Mezghani. "An analysis of the transitions between mobile application usages based on markov chains". The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, pp. 273-278, September 2014.

N. Mezghani, M. Toumi, A. Fuentes, A. Mitiche, N. Hagemeister, and J. A. de Guise, "Knee kinematic signals clustering for the identification of sagittal and transverse gait patterns". The international conference on computing technology and information management, Dubai 11-13 avril 2014.

N. Mezghani, N. Gaudreault, L. Ayoubian, A. Fuentes, A. Mitiche, N. Hagemeister, and J.A. de Guise, “Identification des patrons de la cinématique du genou par une analyse en composantes principales”. Conférence en Traitement et l’analyse de l’information (TAIMA). Mai 2013.

A. Habli, N. Mezghani, A. Fuentes and A. Ben Azza, “ Classification de pathologies du genou en se basant sur la carte de douleur ePKPM ”. Conférence en Traitement et l’analyse de l’information (TAIMA). Mai 2013.

N. Gaudreault, A. Fuentes, N. Mezghani, M.H Dubé and F. Matte, “Comparison of knee gait kinematics of runners to that of non runners: preliminary results”. International society of biomechanics conference, (ISB 2011), Brussels, July 2011.

N. Mezghani, P. Phan, A. Mitiche, H. Labelle, and J.A. De Guise, “A computer-aided method for scoliosis fusion level selection by a topologically ordered self-organizing Kohonen network”. IEEE International conference on pattern recognition (ICPR 2010), Turkey.

N. Mezghani, P. Phan, A. Mitiche, H. Labelle, and J.A. De Guise, “Computer-aided association of scoliosis fusion levels and Lenke classes”. International conference on computer assisted radiology and surgery (CARS 2010), Geneva.

N. Mezghani, P. Phan, C.E. Aubin, H. Labelle, and J.A. De Guise, “A Computer-aided Lenke classification of scoliotic spines”, International Conference on Medical Informatics and Biomedical Engineering (ICMIBE 2009), June 2009.

N. Mezghani and A. Mitiche, “A Gibbsian Kohonen network for online Arabic character recognition”, International Symposium on Visual Computing (ISVC 2008), Las Vegas, 1-3 December. pp. 493–500, 2008.

N. Mezghani, S. Husse, K. Boivin, K. Turcot, N. Hagemeister, R. Aissaoui, and J.A. De Guise. “Asymptomatic and knee osteoarthritis automatic gait pattern analysis using a wavelet representation of kinetic data and the nearest neighbour classifier”. The International Conference on Mechanics in Medicine and Biology (ICMMB 2006). Singapore. 6-8 December 2006. pp: 61-64.

N. Mezghani, S. Deschênes, B. Godbout, D. Branchaud and J.A. de Guise. “Spinal vertebrae edge detection by anisotropic filtering and a local Canny-Deriche edge detector”, IEEE International symposium on Image/video communications, ISIVC 2006, Tunisie.

E. Nourouzian, N. Mezghani, A. Mitiche, and B. R. Johnson, “On-line Persian/Arabic character recognition by polynomial representation and a Kohonen network”. IEEE International conference on pattern recognition (ICPR 2006), Singapour.

N. Mezghani, A. Mitiche et M. Cheriet, “Estimation de densités de probabilité par maximum d’entropie et reconnaissance bayesienne de caractères Arabes en-ligne”, 15e congrès francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA 2006).

N. Mezghani, A. Mitiche et M. Cheriet, “Représentation des formes par des histogrammes de caractéristiques et son application à la reconnaissance en-ligne de caractères Arabes isolés”, 3ème Conférence internationale: Sciences Électroniques, Technologies de l’Information et des Télécommunications (SETIT 2005)

N. Mezghani, A. Mitiche, and M. Cheriet, “A New representation of character shape and its use in on-line character recognition by a Self Organizing Map”, IEEE International Conference on Image Processing (ICIP 2004), Vol. 3, pp. 2123-2126

N. Mezghani, A. Mitiche, and M. Cheriet, “On-line character recognition using histograms of features and an associative memory”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), Montreal, Vol. 5, pp. 841-844.

N. Mezghani, M. Cheriet, and A. Mitiche, “Combination of pruned Kohonen maps for on-line Arabic character recognition”, IEEE International Conference on Document Analysis and Retrieval, (ICDAR 2003), Edinburgh, pp. 900-905.

N. Mezghani, A. Mitiche et M. Cheriet, “Filtrage, élagage et combinaison de mémoires de Kohonen pour la reconnaissance en-ligne de caractères arabes manuscrits”, Conférence Internationale sur le Traitement et Analyse d’Images: Méthodes et Applications, (TAIMA 2003), Hammamet, pp. 99-104

N. Mezghani, M. Cheriet, and A. Mitiche, “On-line recognition of handwritten Arabic characters using a Kohonen neural network”, IEEE International Workshop on Frontiers of Handwriting Recognition, (IWFHR8 2002), Niagara-on-the-Lake, pp. 490-495.

N. Mezghani, A. Mitiche et M. Cheriet, “Reconnaissance en-Ligne de caractères Arabes manuscrits par un réseau de Kohonen”, 15th International Conference on Vision Interface (VI 2002), Calgary, pp. 186-191.

Cagnin A, Choinière M, Bureau NJ, Durand M, Mezghani N, Gaudreault N, Hagemeiste N. (2019). Effective Conservative Care Targeting Mechanical Markers as Risk Factors for Knee Osteoarthritis Progression: a Cluster Randomized Controlled Trial. Osteoarthritis Research Society International (OARSI) World Congress, Osteoarthritis and Cartilage, Toronto, Canada (S485).

Cagnin A, Choinière M, Bureau NJ, Durand M, Mezghani N, Gaudreault N, Hagemeister N. (2019). Impact of a Personalized Home Exercise Program for Knee Osteoarthritis Patients on 3d Kinematics: A Cluster Randomized Controlled Trial. Osteoarthritis Research Society International (OARSI) World Congress, Osteoarthritis and Cartilage, Toronto, Canada (S34-S35F).

I. Mechmeche, A. Mitiche, Y. Ouakrim, J.A de Guise, N. Mezghani (2016). Analyse de complexité des données cinématiques tridimensionnelles du genou. Dans Actes de la Journée scientifique du LICEF. Modélisation d’environnements fonctionnels (p. 66-70). Montréal, Canada : TÉLUQ.

I. Mechmeche, A. Mitiche, Y. Ouakrim, J.A de Guise, N. Mezghani (2016).  Détermination d’un patron représentatif de la cinématique 3D du genou à l’aide d’une analyse fonctionnelle des données. Dans Actes de la Journée scientifique du LICEF. Modélisation d’environnements fonctionnels (p. 61-65). Montréal, Canada : TÉLUQ.

B. Ben Nouma, N. Mezghani, Y. Ouakrim, A. Mitiche (2016). Estimation de la cinématique tridimensionnelle du genou basée sur l’optimisation par essaim de particules. Dans Actes de la Journée scientifique du LICEF. Modélisation d’environnements fonctionnels (p. 10-13). Montréal, Canada : TÉLUQ.

N. Mezghani, D. Billard, A. Fuentes, N. Hagemeister, « A biomechanical analysis of the Impact of Knee osteoarthritis on hip and ankle ». 13th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Montreal, 2015.

T. Chahboun, N Mezghani, A. Fuentes, N. Hagemeister, and J. A. de Guise. « Knee kinematic and clinical data correlation in a knee osteoarthritis population ». 13th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Montreal, 2015.

T. Chahboun, N Mezghani, A. Fuentes, K Boivin; J. A. de Guise. « Multivariate analysis of clinical data and kinematic data of the knee of osteoarthritis population ». 2015 World Congress on Osteoarthritis (OARSI), 22, S364, Seatle, 2015.

T. Chahboun, N Mezghani, A. Fuentes, K Boivin; J. A. de Guise. « Analyse multivariée de données cliniques et données cinématiques du genou d’une population gonarthrosique. 34e Journée POES, 2014.

J. Blouin, T. Derek, V. Cooke, M. Brean, N. Mezghani, A. Fuentes. “Correlation between Knee 3D kinematic parameters during gait and patellofemoral osteoarthritis radiographic grading scale”. 2014 World Congress on Osteoarthritis (OARSI), 22, S97-S98, Paris.

J. Blouin, T. Derek, V. Cooke, M. Brean, N. Mezghani, A. Fuentes. “Correlation between Knee 3D kinematic tibio femoral radiographic osteoarthritis”. 2014 World Congress on Osteoarthritis (OARSI), 22, S96-S97, Paris.

A. Fuentes, N. Bureau, K. Boivin, N. Mezghani, Y. Ouakrim, J.A. de Guise, N. Hagemeister. “Knee Frontal Plane Dynamic Alignment in Knee Osteoarthritis Patients: Impact of a 12-week Physical Therapy Program and Relationship with Functional Scores”. American Academy of Physical Medicine and Rehabilitation. Maryland, USA 2013 Sep 1; 5(S): S207–8. 

N. Mezghani, N. Gaudreault, L. Ayoubian, A. Mitiche, N. Hagemeister, and J.A. de Guise, “A Probabilistic Approach to Identify Worker Vulnerability to Knee Osteoarthritis Development”. Joint World Congress of ISPGR and Gait & Mental Function. June 2012.

L. Ayoubian, A. Fuentes, G. Grimard, J. de Guise, N. Mezghani, “Quantitative assessment of ACL reconstructive surgery in adolescents on 3D knee kinematic data”. Joint World Congress of ISPGR and Gait & Mental Function. June 2012.

N. Mezghani, Y. Ouakrim, A. Fuentes, N. Hagemeister, R. Aissaoui, and J.A. de Guise, “knee osteoarthritis assessment using knee kinematic data classification”. 2012 World Congress on Osteoarthritis (OARSI). Barcelona, 2012.

D. Billard, N. Mezghani, N. Hagemeister, “Classification de patients gonarthrosiques vs. sujets asymptomatiques peut être faite à partir de leurs cinématiques à la hanche et à la cheville”. 32 Journées POES, mai 2012.

D. Billard, N. Mezghani, N. Hagemeister, “Impact de l’arthrose au genou sur les articulations de la hanche et de la cheville en se basant sur une analyse statistique des cinématiques”. 32 Journées POES, mai 2012.

N. Gaudreault, N. Mezghani, K. Turcot, K. Boivin, N. Hagemeister, J.A. de Guise.  “Principal component clustering of frontal plane knee kinematics”. Osteoarthritis and Cartilage, Volume 18, Supplement 2, Belgium, October 2010.

Y. Ouakrim, N. Mezghani and J.A. de Guise, “Automatic classification of asymptomatic and osteoarthritis subjects based on kinematic data of the knee”, MITACS/CORS 2010 Annual Conference, Mai 2010, Canada.

S. Franiatte, N. Mezghani, A. Fuentes and J.A. de Guise, “Analyse de corrélations entre données cinétiques et données cinématiques du genou”, Journée scientifique Réseau provincial de Recherche en adaptation-réadaptation, mai 2011, Canada.

A. Fuentes, N. Mezghani, Neila, N. Hagemeister and J.A. de Guise, “Classification automatique de données cinétiques 3D provenant de patients ayant une rupture du ligament croisé antérieur et des participants sains”. 29e Journée POES, 2009.

P. Phan, N. Mezghani, S. Parent, H. Labelle, and J.A. De Guise, “The use of a decision tree increases accuracy when classifying adolescent idiopathic scoliosis using Lenke classification”, The International Research Society of Spinal Deformities (IRSSD 2008), Liverpool, 8-9 July 2008.

N. Mezghani, K. Boivin, K. Turcot, N. Hagemeister, R. Aissaoui, and J.A. De Guise. “Analyse et classification automatique de données cinétiques provenant de sujets asymptomatiques et arthrosiques”. Annual Meeting of the Canadian Orthopaedic Residents Association (ACO 2007). Halifax. 1-3 June 2007. pp. 125.

N. Mezghani, K. Boivin, K. Turcot, N. Hagemeister, R. Aissaoui, and J.A. De Guise. “Components of ground reaction force vector analysis for asymptomatic and knee osteoarthritis gait classification”, Gait and Clinical Movement Analysis Society (GCMA 2007). Massachusetts. 11-14 April 2007.