Dr Pui Anantrasirichai

M.Sc.(Asian I.T.,Bangkok), Ph.D.(Bristol)

Senior Research Fellow, Department of Electrical & Electronic Engineering
Visual Information Laboratory

https://orcid.org/0000-0002-2122-5781

EmailN.Anantrasirichai@bristol.ac.uk

BS8 1UB

Research output per year

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1 Finished

8031 Vision-based Abnormal Red Blood Cells (RBC) Detection & Classification
Anantrasirichai, P.
15/09/18 → 14/09/19
Project: Research

26 Conference Contribution (Conference Proceeding)
18 Article (Academic Journal)
2 Chapter in a book
2 Conference Abstract

Baseline monitoring of volcanic regions with little recent activity: application of Sentinel-1 InSAR to Turkish volcanoes
Biggs, J. J., Dogru, F., Dagliyar, A., Albino, F., Yip, S. T. H., Brown, S. K., Anantrasirichai, N. & Atici, G., 2020, (In preparation) In : Journal of Applied Volcanology.
Research output: Contribution to journal › Article (Academic Journal) › peer-review
Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network
Anantrasirichai, N., Biggs, J. J., Kelevitz, K., Sadeghi, Z., Wright, T., Thompson, J., Achim, A. M. & Bull, D. R., 31 Aug 2020, In : IEEE Transactions on Geoscience and Remote Sensing. 11 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
37 Downloads (Pure)
Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization
Karakuş, O., Anantrasirichai, N., Aguersif, A., Silva, S., Basarab, A. & Achim, A., 12 Aug 2020, In : IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 67, 11, p. 2218 - 2229 12 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
37 Downloads (Pure)

8031 Vision-based Abnormal Red Blood Cells (RBC) Detection & Classification

Baseline monitoring of volcanic regions with little recent activity: application of Sentinel-1 InSAR to Turkish volcanoes

Detecting Ground Deformation in the Built Environment Using Sparse Satellite InSAR Data With a Convolutional Neural Network

Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization