Mariia Dmitrieva
Mariia Dmitrieva
Postdoctoral Researcher, University of Oxford
Verified email at
Cited by
Cited by
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat, A Temizel, A Krenzer, ...
Medical image analysis 70, 102002, 2021
Object classification with convolution neural network based on the time-frequency representation of their echo
M Dmitrieva, M Valdenegro-Toro, K Brown, G Heald, D Lane
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
Protein tracking by cnn-based candidate pruning and two-step linking with bayesian network
M Dmitrieva, HL Zenner, J Richens, D St Johnston, J Rittscher
2019 IEEE 29th International Workshop on Machine Learning for Signal …, 2019
TRAIT2D: a software for quantitative analysis of single particle diffusion data
F Reina, JMA Wigg, M Dmitrieva, B Vogler, J Lefebvre, J Rittscher, ...
F1000Research 10, 2021
Material recognition based on the time delay of secondary reflections using wideband sonar pulses
M Dmitrieva, K Brown, G Heald, D Lane
IET Radar, Sonar & Navigation 13 (11), 2034-2040, 2019
Self-supervised voxel-level representation rediscovers subcellular structures in volume electron microscopy
H Han, M Dmitrieva, A Sauer, KH Tam, J Rittscher
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics
M Dmitrieva, J Lefebvre, K delas Penas, HL Zenner, J Richens, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 891-894, 2020
Classification of spherical objects based on the form function of acoustic echoes
M Dmitrieva, KE Brown, GJ Heald, DM Lane
4th Underwater Acoustics Conference and Exhibition, Skiathos, Greece, pp.483-488, 2017
Adaptive bio-inspired signals for better object characterisation
M Dmitrieva, K Brown, D Lane
Biomimetic and Biohybrid Systems: 4th International Conference, Living …, 2015
Endoscopy Artefact Detection (EAD) Dataset (includes updated 2020 version)
S Ali, M Dmitrieva, F Zhou, C Daul, B Braden, A Bailey, J East, S Realdon, ...
Mendeley Data 3, 2021
Single-molecule localization microscopy reconstruction using Noise2Noise for super-resolution imaging of actin filaments
J Lefebvre, A Javer, M Dmitrieva, J Rittscher, B Lewków, E Allgeyer, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1596-1599, 2020
Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking
K delas Penas, M Dmitrieva, J Lefebvre, H Zenner, E Allgeyer, M Booth, ...
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1634-1637, 2020
Object characterisation using wideband sonar pulses
M Dmitrieva
Heriot-Watt University, 2018
Sea floor recognition with bio-inspired echolocation
M Dmitrieva, K Brown, G Heald, D Lane
OCEANS 2017-Aberdeen, 1-5, 2017
Tracking exocytic vesicle movements with MSP-tracker/viewer reveals the spatial control of secretion in epithelial cells.
JH Richens, M Dmitrieva, HL Zenner, N Muschalik, R Butler, J Glashauser, ...
bioRxiv, 2024.01. 25.577201, 2024
Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation
A Sauer, M Dmitrieva, H Han, J Rittscher
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Annotation-free learning of a spatio-temporal manifold of the cell life cycle
K delas Peñas, M Dmitrieva, D Waithe, J Rittscher
Biological Imaging 3, e19, 2023
Profiling DNA Damage in 3D Histology Samples
KE delas Peñas, R Haeusler, S Feng, V Magidson, M Dmitrieva, D Wink, ...
International Workshop on Medical Optical Imaging and Virtual Microscopy …, 2022
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics
M Valdenegro-Toro, MDL Alvarez, M Dmitrieva, B Wehbe, G Salavasidis, ...
arXiv preprint arXiv:1910.13144, 2019
Image processing based strategy for adaptive wideband echolocation
M Dmitrieva, K Brown, G Heald, D Lane
IEEE International Conference on Acoustics Speech and Signal Processing PhD …, 2017
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