Tutkijaopettaja Tuomas Eerola

E-mail: Tuomas.Eerola@lut.fi
Mobile phone: +358 504042054
ORCID ID: 0000-0003-1352-0999 (Go to ORCID profile)
CV:
Uploaded on: 24/04/2020

Current Organisation
Computational and Process Engineering (Superior organisation: LUT School of Engineering Science)

Projects as Co-Investigator
Smart technologies for lifecycle perform (01/01/2015 - 30/06/2015)
Funder: Tekes



Publications
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Modelling internal knot distribution using external log features (2020)
A1 Journal article (refereed), original research
Zolotarev Fedor, Eerola Tuomas, Lensu Lasse, et al.
Computers and Electronics in Agriculture
Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process (2020)
A1 Journal article (refereed), original research
Zafari Sahar, Murashkina Mariia, Eerola Tuomas, et al.
Journal of Visual Communication and Image Representation
Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification (2020)
A4 Conference proceedings
Nepovinnykh Ekaterina, Eerola Tuomas, Kälviäinen Heikki
2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)
3D Hand Movement Measurement Framework for Studying Human-Computer Interaction (2019)
A4 Conference proceedings
Kuronen Toni, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Networks and Systems
Cyber-Physical Systems and Control
Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound (2019)
A4 Conference proceedings
Zafari Sahar, Eerola Tuomas, Ferreira Paulo, et al.
Lecture Notes in Computer Science
Computer Analysis of Images and Patterns, Springer Lecture Notes in Computer Science
Automated Segmentation of the Pectoral Muscle in Axial Breast MR Images (2019)
A4 Conference proceedings
Zafari Sahar, Diab Mazen, Eerola Tuomas, et al.
Lecture Notes in Computer Science
Proceedings of International Symposium on Visual Computing (ISVC 2019)
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks (2019)
A4 Conference proceedings
Rudakov Nikolay, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
German Conference on Pattern Recognition. GCPR 2018.
Fine-Grained Wood Species Identification Using Convolutional Neural Networks (2019)
A4 Conference proceedings
Shustrov Dmitrii, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
Image Analysis. SCIA 2019. Lecture Notes in Computer Science
Timber Tracing with Multimodal Encoder-Decoder Networks (2019)
A4 Conference proceedings
Zolotarev Fedor, Eerola Tuomas, Lensu Lasse, et al.
Lecture Notes in Computer Science
CAIP 2019: Computer Analysis of Images and Patterns
Comparison of bubble detectors and size distribution estimators (2018)
A1 Journal article (refereed), original research
Ilonen Jarmo, Juránek Roman, Eerola Tuomas, et al.
Pattern Recognition Letters




Last updated on 2020-24-04 at 05:03

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