Search Results - "Zharov, Yaroslav"

Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning by Zharov, Yaroslav, Ametova, Evelina, Spiecker, Rebecca, Baumbach, Tilo, Burca, Genoveva, Heuveline, Vincent

“…Shot noise is a critical issue in radiographic and tomographic imaging, especially when additional constraints lead to a significant reduction of the…”
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A Knowledge Distillation Framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image by Bhatt, Jwalin, Zharov, Yaroslav, Suh, Sungho, Baumbach, Tilo, Heuveline, Vincent, Lukowicz, Paul

“…Morphological atlases are an important tool in organismal studies, and modern high-throughput Computed Tomography (CT) facilities can produce hundreds of…”
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Dose-efficient in vivo X-ray phase contrast imaging at micrometer resolution by Bragg magnifiers by Spiecker, Rebecca, Pfeiffer, Pauline, Biswal, Adyasha, Shcherbinin, Mykola, Spiecker, Martin, Hessdorfer, Holger, Hurst, Mathias, Zharov, Yaroslav, Bellucci, Valerio, Faragó, Tomáš, Zuber, Marcus, Herz, Annette, Cecilia, Angelica, Czyzycki, Mateusz, Dias, Carlos Sato Baraldi, Novikov, Dmitri, Krogmann, Lars, Hamann, Elias, van de Kamp, Thomas, Baumbach, Tilo

“…X-ray imaging enables the study of morphodynamic and physiological processes in living organisms. However, the required photon flux increases with the desired…”
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Optimizing the Procedure of CT Segmentation Labeling by Zharov, Yaroslav, Baumbach, Tilo, Heuveline, Vincent

“…In Computed Tomography, machine learning is often used for automated data processing. However, increasing model complexity is accompanied by increasingly large…”
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Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks by Grotov, Konstantin, Borzilov, Artem, Krivobok, Maksim, Bryksin, Timofey, Zharov, Yaroslav

“…Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development…”
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On The Importance of Reasoning for Context Retrieval in Repository-Level Code Editing by Kovrigin, Alexander, Eliseeva, Aleksandra, Zharov, Yaroslav, Bryksin, Timofey

“…Recent advancements in code-fluent Large Language Models (LLMs) enabled the research on repository-level code editing. In such tasks, the model navigates and…”
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Tool-Augmented LLMs as a Universal Interface for IDEs by Zharov, Yaroslav, Khudyakov, Yury, Fedotova, Evgeniia, Grigorenko, Evgeny, Bogomolov, Egor

“…Modern-day Integrated Development Environments (IDEs) have come a long way from the early text editing utilities to the complex programs encompassing thousands…”
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Untangling Knots: Leveraging LLM for Error Resolution in Computational Notebooks by Grotov, Konstantin, Titov, Sergey, Zharov, Yaroslav, Bryksin, Timofey

“…Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development…”
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Tool-Augmented LLMs as a Universal Interface for IDEs by Zharov, Yaroslav, Khudyakov, Yury, Fedotova, Evgeniia, Grigorenko, Evgeny, Bogomolov, Egor

“…Modern-day Integrated Development Environments (IDEs) have come a long way from the early text editing utilities to the complex programs encompassing thousands…”
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Towards Realistic Evaluation of Commit Message Generation by Matching Online and Offline Settings by Tsvetkov, Petr, Eliseeva, Aleksandra, Dig, Danny, Bezzubov, Alexander, Golubev, Yaroslav, Bryksin, Timofey, Zharov, Yaroslav

“…Commit message generation (CMG) is a crucial task in software engineering that is challenging to evaluate correctly. When a CMG system is integrated into the…”
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Dynamic Retrieval-Augmented Generation by Shapkin, Anton, Litvinov, Denis, Zharov, Yaroslav, Bogomolov, Egor, Galimzyanov, Timur, Bryksin, Timofey

“…Current state-of-the-art large language models are effective in generating high-quality text and encapsulating a broad spectrum of world knowledge. These…”
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Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training by Zharov, Yaroslav, Ershov, Alexey, Baumbach, Tilo, Heuveline, Vincent

“…The technical advances in Computed Tomography (CT) allow to obtain immense amounts of 3D data. For such datasets it is very costly and time-consuming to obtain…”
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Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning by Zharov, Yaroslav, Ametova, Evelina, Spiecker, Rebecca, Baumbach, Tilo, Burca, Genoveva, Heuveline, Vincent

“…Noise is an important issue for radiographic and tomographic imaging techniques. It becomes particularly critical in applications where additional constraints…”
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A Knowledge Distillation framework for Multi-Organ Segmentation of Medaka Fish in Tomographic Image by Bhatt, Jwalin, Zharov, Yaroslav, Suh, Sungho, Baumbach, Tilo, Heuveline, Vincent, Lukowicz, Paul

“…Morphological atlases are an important tool in organismal studies, and modern high-throughput Computed Tomography (CT) facilities can produce hundreds of…”
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Self-Supervised Learning for Biological Sample Localization in 3D Tomographic Images by Zharov, Yaroslav, Ershov, Alexey, Baumbach, Tilo, Heuveline, Vincent

“…In synchrotron-based Computed Tomography (CT) there is a trade-off between spatial resolution, field of view and speed of positioning and alignment of samples…”
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YASENN: Explaining Neural Networks via Partitioning Activation Sequences by Zharov, Yaroslav, Korzhenkov, Denis, Shvechikov, Pavel, Tuzhilin, Alexander

“…We introduce a novel approach to feed-forward neural network interpretation based on partitioning the space of sequences of neuron activations. In line with…”
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