:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Goncharov, Mikhail, Soboleva, Eugenia, Donskova, Mariia, Ignatyev, Daniil, Belyaev, Mikhail, Oseledets, Ivan, Munkhoeva, Marina, Panov, Maxim
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2502.08321
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
by: Shirokikh, Boris, et al.
Published: (2025)

Anatomical Positional Embeddings
by: Goncharov, Mikhail, et al.
Published: (2024)

Medical Semantic Segmentation with Diffusion Pretrain
by: Li, David, et al.
Published: (2025)

Random Direct Preference Optimization for Radiography Report Generation
by: Samokhin, Valentin, et al.
Published: (2025)

Robust Curve Detection in Volumetric Medical Imaging via Attraction Field
by: Yaushev, Farukh, et al.
Published: (2024)

The impact of deep learning aid on the workload and interpretation accuracy of radiologists on chest computed tomography: a cross-over reader study
by: Kurmukov, Anvar, et al.
Published: (2024)

General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
by: Korzh, Dmitrii, et al.
Published: (2023)

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models
by: Aliev, Ali, et al.
Published: (2026)

Hierarchical Loss And Geometric Mask Refinement For Multilabel Ribs Segmentation
by: Leonov, Aleksei, et al.
Published: (2024)

Group and Shuffle: Efficient Structured Orthogonal Parametrization
by: Gorbunov, Mikhail, et al.
Published: (2024)

Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation
by: Kats, Eytan, et al.
Published: (2024)

Spread them Apart: Towards Robust Watermarking of Generated Content
by: Pautov, Mikhail, et al.
Published: (2025)

Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation
by: Hassanpour, Jamshid, et al.
Published: (2024)

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images
by: Tasai, Ren, et al.
Published: (2025)

Multimodal Prototype Alignment for Semi-supervised Pathology Image Segmentation
by: Fu, Mingxi, et al.
Published: (2025)

Geological Field Restoration through the Lens of Image Inpainting
by: Trifonov, Vladislav, et al.
Published: (2025)

Self-supervised Visualisation of Medical Image Datasets
by: Nwabufo, Ifeoma Veronica, et al.
Published: (2024)

Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
by: Chen, Jiahe, et al.
Published: (2025)

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
by: Zhao, Zhen, et al.
Published: (2023)

Weakly-supervised Medical Image Segmentation with Gaze Annotations
by: Zhong, Yuan, et al.
Published: (2024)

VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification
by: Liu, Zelong, et al.
Published: (2024)

Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation
by: Gu, Yuliang, et al.
Published: (2023)

Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation
by: Soboleva, Vera, et al.
Published: (2025)

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
by: Miao, Juzheng, et al.
Published: (2024)

FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation
by: He, Along, et al.
Published: (2024)

Dual Teacher-Student Learning for Semi-supervised Medical Image Segmentation
by: Zhang, Pengchen, et al.
Published: (2025)

Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation
by: Koo, Heejoon
Published: (2023)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Diversity-enhanced Collaborative Mamba for Semi-supervised Medical Image Segmentation
by: Li, Shumeng, et al.
Published: (2025)

Pairwise Similarity Regularization for Semi-supervised Graph Medical Image Segmentation
by: Zhou, Jialu, et al.
Published: (2025)

Semi-supervised Medical Image Segmentation via Query Distribution Consistency
by: Wu, Rong, et al.
Published: (2023)

Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
by: Wu, Han, et al.
Published: (2025)

FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising
by: Wei, Guoquan, et al.
Published: (2026)

Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Vision-Language Enhanced Foundation Model for Semi-supervised Medical Image Segmentation
by: Guo, Jiaqi, et al.
Published: (2025)

A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
by: Wang, Wei-Chien, et al.
Published: (2023)

EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
by: He, Yuanpeng
Published: (2024)

Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
by: Li, Lijian
Published: (2024)

Translation Consistent Semi-supervised Segmentation for 3D Medical Images
by: Liu, Yuyuan, et al.
Published: (2022)

SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
by: Papkov, Mikhail, et al.
Published: (2023)