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Mariia Dmitrieva
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2020 – today
- 2023
- [c9]Alexander Sauer, Mariia Dmitrieva, Hongqing Han, Jens Rittscher:
Leveraging Inter-Annotator Disagreement for Semi-Supervised Segmentation. ISBI 2023: 1-5 - 2022
- [c8]Hongqing Han
, Mariia Dmitrieva, Alexander Sauer, Ka Ho Tam, Jens Rittscher:
Self-Supervised Voxel-Level Representation Rediscovers Subcellular Structures in Volume Electron Microscopy. CVPR Workshops 2022: 1873-1882 - [c7]Kristofer E. delas Peñas, Ralf Haeusler, Sally Feng
Profiling DNA Damage in 3D Histology Samples. MOVI@MICCAI 2022: 84-93 - 2021
- [j1]Sharib Ali
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70: 102002 (2021) - [i4]Francesco Reina
TRAIT2D: a Software for Quantitative Analysis of Single Particle Diffusion Data. F1000Research 10: 838 (2021) - 2020
- [c6]Mariia Dmitrieva, Joël Lefebvre, Kristofer delas Peñas, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher:
Short Trajectory Segmentation with 1D UNET Framework: Application to Secretory Vesicle Dynamics. ISBI 2020: 891-894 - [c5]Joël Lefebvre, Avelino Javer, Mariia Dmitrieva, Jens Rittscher, Bohdan Lewków, Edward Allgeyer, George Sirinakis, Daniel St Johnston:
Single-Molecule Localization Microscopy Reconstruction Using Noise2Noise for Super-Resolution Imaging of Actin Filaments. ISBI 2020: 1596-1599 - [c4]Kristofer delas Peñas, Mariia Dmitrieva, Joël Lefebvre, Helen L. Zenner, Edward Allgeyer, Martin Booth, Daniel St Johnston, Jens Rittscher:
Extracting Axial Depth and Trajectory Trend Using Astigmatism, Gaussian Fitting, and CNNs for Protein Tracking. ISBI 2020: 1634-1637 - [i3]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:
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR abs/2010.06034 (2020)
2010 – 2019
- 2019
- [c3]Mariia Dmitrieva, Helen L. Zenner, Jennifer Richens, Daniel St Johnston, Jens Rittscher:
Protein Tracking By CNN-Based Candidate Pruning And Two-Step Linking With Bayesian Network. MLSP 2019: 1-6 - [i2]Mariia Dmitrieva, Keith E. Brown, Gary J. Heald, David M. Lane:
Classification of spherical objects based on the form function of acoustic echoes. CoRR abs/1910.08501 (2019) - [i1]Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova
Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics. CoRR abs/1910.13144 (2019) - 2017
- [c2]Mariia Dmitrieva, Matias Valdenegro-Toro
Object classification with convolution neural network based on the time-frequency representation of their echo. MLSP 2017: 1-6 - 2015
- [c1]Mariia Dmitrieva, Keith E. Brown
Adaptive Bio-inspired Signals for Better Object Characterisation. Living Machines 2015: 403-409
Coauthor Index
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