Yaroslav Zharov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Tomographic Images

Organ Segmentation

Top Venues

Publications

Konstantin Grotov, Sergey Titov, Yaroslav Zharov, Timofey Bryksin
Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks. CoRR (2024)
Alexander Kovrigin, Aleksandra Eliseeva, Yaroslav Zharov, Timofey Bryksin
On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing. CoRR (2024)
Yaroslav Zharov, Yury Khudyakov, Evgeniia Fedotova, Evgeny Grigorenko, Egor Bogomolov
Tool-Augmented LLMs as a Universal Interface for IDEs. CoRR (2024)
Yaroslav Zharov, Evelina Ametova, Rebecca Spiecker, Tilo Baumbach, Genoveva Burca, Vincent Heuveline
Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning. CoRR (2023)
Yaroslav Zharov, Tilo Baumbach, Vincent Heuveline
Optimizing the Procedure of CT Segmentation Labeling. CoRR (2023)
Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz
A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. CoRR (2023)
Jwalin Bhatt, Yaroslav Zharov, Sungho Suh, Tilo Baumbach, Vincent Heuveline, Paul Lukowicz
A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image. ISBI (2023)
Yaroslav Zharov, Alexey Ershov, Tilo Baumbach, Vincent Heuveline
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training. CoRR (2022)
Yaroslav Zharov, Alexey Ershov, Tilo Baumbach
Self Supervised Learning for Object Localisation in 3D Tomographic Images. CoRR (2020)
Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov, Alexander Tuzhilin
YASENN: Explaining Neural Networks via Partitioning Activation Sequences. CoRR (2018)