Mariia Dmitrieva

According to our database1, Mariia Dmitrieva authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Profiling DNA Damage in 3D Histology Samples.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data.
F1000Research, 2021

2020
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics.
CoRR, 2019

Classification of spherical objects based on the form function of acoustic echoes.
CoRR, 2019

Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

2017
Object classification with convolution neural network based on the time-frequency representation of their echo.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2015
Adaptive Bio-inspired Signals for Better Object Characterisation.
Proceedings of the Biomimetic and Biohybrid Systems - 4th International Conference, 2015


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