Yali Nie
Doktorand|Doctoral Student
- Professional title: Doctoral Student
- Telephone: +46 (0)10-1427819
- Email: yali.nie@miun.se
- Room number: S225
- Location: Sundsvall
- Computer Science
- Electrical Engineering
- STC Research Centre
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Employed at the subject:
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Research centers:
Publications
Conference
Publications
Articles in journals
Conference papers
Doctoral theses, comprehensive summaries
Licentiate theses, comprehensive summaries
Articles in journals
Nie, Y. , Sommella, P. , Carratù, M. , O'Nils, M. & Lundgren, J. (2023). A Deep CNN Transformer Hybrid Model for Skin Lesion Classification of Dermoscopic Images Using Focal Loss. Diagnostics, vol. 13: 1
Xie, Y. , Ma, Y. , Yang, J. , Nie, Y. , Chen, Z. , Zhang, C. & Zuo, L. (2022). Development and validation of multilayer perceptual neural network in glomerular filtration rate evaluation. Chinese Journal of Nephrology, vol. 38: 5, pp. 369-378.
Nie, Y. , Sommella, P. , Carratu, M. , Ferro, M. , O'Nils, M. & Lundgren, J. (2022). Recent Advances in Diagnosis of Skin Lesions using Dermoscopic Images based on Deep Learning. IEEE Access, vol. 10, pp. 95716-95747.
Conference papers
Nie, Y. , Carratu, M. , O'Nils, M. , Sommella, P. , Moise, A. U. & Lundgren, J. (2022). Skin Cancer Classification based on Cosine Cyclical Learning Rate with Deep Learning. In Conference Record - IEEE Instrumentation and Measurement Technology Conference.
Nie, Y. , Ferro, M. , Sommella, P. , Carratù, M. , Cacciapuoti, S. , Di Leo, G. , Lundgren, J. & Fabbrocini, G. (2021). Ensembling CNNs for dermoscopic analysis of suspicious skin lesions. In 2021 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
Nie, Y. , De Santis, L. , Carratu, M. , O'Nils, M. , Sommella, P. & Lundgren, J. (2020). Deep Melanoma classification with K-Fold Cross-Validation for Process optimization. In 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).
Nie, Y. , Sommella, P. , O'Nils, M. , Liguori, C. & Lundgren, J. (2019). Automatic Detection of Melanoma with Yolo Deep Convolutional Neural Networks. In 2019 E-Health and Bioengineering Conference (EHB).
Doctoral theses
Nie, Y. (2023). Deep Learning Approaches towards Skin Lesion Classification with Dermoscopic Images. Dis. (Comprehensive summary) Sundsvall : Mid Sweden University, 2023 (Mid Sweden University doctoral thesis : 383)
Licentiate theses, comprehensive summaries
Nie, Y. (2021). Automatic Melanoma Diagnosis in Dermoscopic Imaging Base on Deep Learning System. Lic. (Comprehensive summary) Mid Sweden University, 2021 (Mid Sweden University licentiate thesis : 180)