:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Jinho, Nickel, Marcel Dominik, Knoll, Florian
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2508.09200
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Learning-based Accelerated MR Cholangiopancreatography without Fully-sampled Data
by: Kim, Jinho, et al.
Published: (2024)

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
by: Cerri, Stefano, et al.
Published: (2025)

Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
by: Huang, Hejun, et al.
Published: (2024)

Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles
by: Szűcs, Ádám István, et al.
Published: (2024)

A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging
by: Li, Peichao, et al.
Published: (2024)

Low-Trace Adaptation of Zero-shot Self-supervised Blind Image Denoising
by: Hu, Jintong, et al.
Published: (2024)

A generalizable 3D framework and model for self-supervised learning in medical imaging
by: Xu, Tony, et al.
Published: (2025)

NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines
by: Ahonen, Jukka I., et al.
Published: (2024)

Variational Zero-shot Multispectral Pansharpening
by: Rui, Xiangyu, et al.
Published: (2024)

SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs
by: Muzeau, Max, et al.
Published: (2024)

A self-supervised CNN for image watermark removal
by: Tian, Chunwei, et al.
Published: (2024)

Enhancing image quality prediction with self-supervised visual masking
by: Çoğalan, Uğur, et al.
Published: (2023)

Label-free segmentation from cardiac ultrasound using self-supervised learning
by: Ferreira, Danielle L., et al.
Published: (2022)

Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentation
by: Morano, José, et al.
Published: (2023)

Single-image reflection removal via self-supervised diffusion models
by: Lu, Zhengyang, et al.
Published: (2024)

Compact single-shot ranging and near-far imaging using metasurfaces
by: Luo, Junjie, et al.
Published: (2026)

MoRe-3DGSMR: Motion-resolved reconstruction framework for free-breathing pulmonary MRI based on 3D Gaussian representation
by: Peng, Tengya, et al.
Published: (2025)

Color Universal Design Neural Network for the Color Vision Deficiencies
by: Seo, Sunyong, et al.
Published: (2025)

Joint image reconstruction and segmentation of real-time cardiac MRI in free-breathing using a model based on disentangled representation learning
by: Wech, Tobias, et al.
Published: (2024)

Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
by: Guan, Yu, et al.
Published: (2024)

Robust multi-coil MRI reconstruction via self-supervised denoising
by: Aali, Asad, et al.
Published: (2024)

Hyperspectral and multispectral image fusion with arbitrary resolution through self-supervised representations
by: Wang, Ting, et al.
Published: (2024)

DarkDeblur: Learning single-shot image deblurring in low-light condition
by: Sharif, S M A, et al.
Published: (2025)

Real-time nonlinear inversion of magnetic resonance elastography with operator learning
by: Rivera, Juampablo E. Heras, et al.
Published: (2025)

LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds
by: Wang, Chen, et al.
Published: (2025)

Self-supervised learning for classifying paranasal anomalies in the maxillary sinus
by: Bhattacharya, Debayan, et al.
Published: (2024)

Semise: Semi-supervised learning for severity representation in medical image
by: Tran, Dung T., et al.
Published: (2025)

Deshadow-Anything: When Segment Anything Model Meets Zero-shot shadow removal
by: Zhang, Xiao Feng, et al.
Published: (2023)

Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images
by: Wang, Lu, et al.
Published: (2020)

Zero-shot Bias Correction: Efficient MR Image Inhomogeneity Reduction Without Any Data
by: Yang, Hongxu, et al.
Published: (2025)

OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
by: Li, Runyi, et al.
Published: (2024)

ZEAL: Surgical Skill Assessment with Zero-shot Tool Inference Using Unified Foundation Model
by: Kondo, Satoshi
Published: (2024)

Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
by: Jiang, Jue, et al.
Published: (2024)

Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning
by: Megahed, Youssef, et al.
Published: (2025)

An OpenMind for 3D medical vision self-supervised learning
by: Wald, Tassilo, et al.
Published: (2024)

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification
by: Gan, Haitao, et al.
Published: (2024)

A multi-stage semi-supervised learning for ankle fracture classification on CT images
by: Liu, Hongzhi, et al.
Published: (2024)

Zero-shot Multi-Contrast Brain MRI Registration by Intensity Randomizing T1-weighted MRI (LUMIR25)
by: Liu, Hengjie, et al.
Published: (2026)

Slot-BERT: Self-supervised Object Discovery in Surgical Video
by: Liao, Guiqiu, et al.
Published: (2025)

Improved monocular depth prediction using distance transform over pre-semantic contours with self-supervised neural networks
by: Hariat, Marwane, et al.
Published: (2026)