Mariia Dmitrieva

14 papers Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation.
ISBI
Alexander Sauer, Mariia Dmitrieva, Hongqing Han, Jens Rittscher
2022 — conf
Profiling DNA Damage in 3D Histology Samples.
MOVI@MICCAI
Kristofer E. delas Peñas, Ralf Haeusler, Sally Feng, Valentin Magidson, Mariia Dmitrieva, David Wink, Stephen J. Lockett, Robert J. Kinders, Jens Rittscher
2022 — conf
Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy.
CVPR Workshops
Hongqing Han, Mariia Dmitrieva, Alexander Sauer, Ka Ho Tam, Jens Rittscher
2021 J jnl
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal.
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2021 J jnl
TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data.
F1000Research
Francesco Reina, John M. A. Wigg, Mariia Dmitrieva, Joël Lefebvre, Jens Rittscher, Christian Eggeling
2020 J jnl
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
2020 — conf
Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking.
ISBI
Kristofer delas Peñas, Mariia Dmitrieva, Joël Lefebvre, Helen L. Zenner, Edward Allgeyer, Martin Booth, Daniel St Johnston, Jens Rittscher
2020 — conf
Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics.
ISBI
Mariia Dmitrieva, Joël Lefebvre, Kristofer delas Peñas, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher
2020 — conf
Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments.
ISBI
Joël Lefebvre, Avelino Javer, Mariia Dmitrieva, Jens Rittscher, Bohdan Lewków, Edward Allgeyer, George Sirinakis, Daniel St Johnston
2019 J jnl
Classification of spherical objects based on the form function of acoustic echoes.
CoRR
Mariia Dmitrieva, Keith E. Brown, Gary J. Heald, David M. Lane
2019 — conf
Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network.
MLSP
Mariia Dmitrieva, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher
2019 J jnl
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics.
CoRR
Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova, Klemen Istenic, Thomas Guerneve
2017 — conf
Object classification with convolution neural network based on the time-frequency representation of their echo.
MLSP
Mariia Dmitrieva, Matias Valdenegro-Toro, Keith E. Brown, Gary Heald, David M. Lane
2015 — conf
Adaptive Bio-inspired Signals for Better Object Characterisation.
Living Machines
Mariia Dmitrieva, Keith E. Brown, David M. Lane