:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	de Grauw, M. J. J., Scholten, E. Th., Smit, E. J., Rutten, M. J. C. M., Prokop, M., van Ginneken, B., Hering, A.
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2406.05231
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unstable Prompts, Unreliable Segmentations: A Challenge for Longitudinal Lesion Analysis
by: Rocholl, Niels, et al.
Published: (2025)

ULS+: Data-driven Model Adaptation Enhances Lesion Segmentation
by: Weber, Rianne, et al.
Published: (2026)

TotalRegistrator: Towards a Lightweight Foundation Model for CT Image Registration
by: Pham, Xuan Loc, et al.
Published: (2025)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography
by: Xu, Murong, et al.
Published: (2025)

Investigating the Use of Traveltime and Reflection Tomography for Deep Learning-Based Sound-Speed Estimation in Ultrasound Computed Tomography
by: Jeong, Gangwon, et al.
Published: (2023)

SlicerNNInteractive: A 3D Slicer extension for nnInteractive
by: de Vente, Coen, et al.
Published: (2025)

CTorch: PyTorch-Compatible GPU-Accelerated Auto-Differentiable Projector Toolbox for Computed Tomography
by: Jiang, Xiao, et al.
Published: (2025)

Lumbar spine segmentation in MR images: a dataset and a public benchmark
by: van der Graaf, Jasper W., et al.
Published: (2023)

DM4CT: Benchmarking Diffusion Models for Computed Tomography Reconstruction
by: Shi, Jiayang, et al.
Published: (2026)

Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography
by: Yang, Diyu, et al.
Published: (2024)

Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis
by: Musah, Toufiq, et al.
Published: (2024)

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
by: Deng, Yang, et al.
Published: (2021)

A Paired Point-of-Care Ultrasound Dataset for Image Quality Enhancement and Benchmarking via a cGAN Baseline
by: van Karnenbeek, Lennard M., et al.
Published: (2026)

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis
by: Molchanova, Nataliia, et al.
Published: (2025)

Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment
by: Sanjid, Kazi Shahriar, et al.
Published: (2024)

Nodule detection and generation on chest X-rays: NODE21 Challenge
by: Sogancioglu, Ecem, et al.
Published: (2024)

PediDemi -- A Pediatric Demyelinating Lesion Segmentation Dataset
by: Popa, Maria, et al.
Published: (2025)

Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed Tomography
by: Liu, Jie, et al.
Published: (2024)

Inexpensive Optical Projection Tomography on a Mobile Phone Platform
by: Smith, Gennifer T., et al.
Published: (2026)

Vision Foundation Models for Computed Tomography
by: Pai, Suraj, et al.
Published: (2025)

Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge
by: Wang, Ching-Wei, et al.
Published: (2024)

Quality assurance of the Federal Interagency Traumatic Brain Injury Research (FITBIR) MRI database to enable integrated multi-site analysis
by: Saunders, Adam M., et al.
Published: (2025)

UNISELF: A Unified Network with Instance Normalization and Self-Ensembled Lesion Fusion for Multiple Sclerosis Lesion Segmentation
by: Zhang, Jinwei, et al.
Published: (2025)

Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
by: Sadegheih, Yousef, et al.
Published: (2025)

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
by: Sadegheih, Yousef, et al.
Published: (2026)

Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)

Development of Focused X-ray Luminescence Compute Tomography Imaging
by: Fang, Yile, et al.
Published: (2024)

Implicit Neural Representation for Sparse-view Photoacoustic Computed Tomography
by: Yao, Bowei, et al.
Published: (2024)

Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (2024)

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
by: Wu, Zhaodong, et al.
Published: (2025)

TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
by: Deb, Prantik, et al.
Published: (2023)

Integrating Deep Unfolding with Direct Diffusion Bridges for Computed Tomography Reconstruction
by: Verinaz-Jadan, Herman, et al.
Published: (2024)

NERD: Network-Regularized Diffusion Sampling For 3D Computed Tomography
by: Liang, Shijun, et al.
Published: (2025)

Automated Muscle and Fat Segmentation in Computed Tomography for Comprehensive Body Composition Analysis
by: Chen, Yaqian, et al.
Published: (2025)

Classifier-guided registration of coronary CT angiography and intravascular ultrasound
by: van Herten, R. L. M., et al.
Published: (2024)

Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
by: Hansen, Lasse, et al.
Published: (2025)

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
by: Molchanova, Nataliia, et al.
Published: (2024)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
by: Imran, Muhammad, et al.
Published: (2025)

TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation
by: Khan, Tariq M, et al.
Published: (2024)