:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Song, Hongkang, Zhang, Zihui, Zhou, Yanpeng, Hu, Jie, Wang, Zishuo, Chan, Hou Him, Lei, Chon Lok, Xu, Chen, Xin, Yu, Yang, Bo
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2412.06507
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

U2AD: Uncertainty-based Unsupervised Anomaly Detection Framework for Detecting T2 Hyperintensity in MRI Spinal Cord
by: Zhang, Qi, et al.
Published: (2025)

DeepGI: An Automated Approach for Gastrointestinal Tract Segmentation in MRI Scans
by: Zhang, Ye, et al.
Published: (2024)

Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan
by: Liu, Mengyuan, et al.
Published: (2025)

Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images
by: Elahi, Maryam Tavakol
Published: (2024)

Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)
by: Gautam, Siddhant, et al.
Published: (2025)

BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
by: Bilic, Anthony, et al.
Published: (2024)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
by: Zhou, Lei, et al.
Published: (2024)

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
by: Gao, Yifan, et al.
Published: (2024)

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation
by: Tsai, Ting Yu, et al.
Published: (2024)

HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)

Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision
by: Dhar, Aryan, et al.
Published: (2025)

Scan-Adaptive Dynamic MRI Undersampling Using a Dictionary of Efficiently Learned Patterns
by: Gautam, Siddhant, et al.
Published: (2026)

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)

Evaluating the Impact of Sequence Combinations on Breast Tumor Segmentation in Multiparametric MRI
by: Min, Hang, et al.
Published: (2024)

MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor Segmentation
by: Reasat, Tahsin, et al.
Published: (2024)

EDU-Net: Retinal Pathological Fluid Segmentation in OCT Images with Multiscale Feature Fusion and Boundary Optimization
by: Lei, Zijun, et al.
Published: (2026)

Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI
by: Pal, Rikathi, et al.
Published: (2024)

MIP-Based Tumor Segmentation: A Radiologist-Inspired Approach
by: Zarik, Romario, et al.
Published: (2025)

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

Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
by: Spaanderman, Douwe J., et al.
Published: (2024)

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
by: Ferreira, André, et al.
Published: (2025)

Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction
by: Yu, Hongze, et al.
Published: (2025)

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
by: Hou, Benjamin, et al.
Published: (2024)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)

Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
by: Vajiram, Jayanthi, et al.
Published: (2024)

Colormap-Enhanced Vision Transformers for MRI-Based Multiclass (4-Class) Alzheimer's Disease Classification
by: Ahmed, Faisal
Published: (2025)

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)

Diffusion-Based Semantic Segmentation of Lumbar Spine MRI Scans of Lower Back Pain Patients
by: Monzon, Maria, et al.
Published: (2024)

Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
by: Maleki, Nazanin, et al.
Published: (2025)

GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
by: Yang, Jiaxin, et al.
Published: (2025)

RATNUS: Rapid, Automatic Thalamic Nuclei Segmentation using Multimodal MRI inputs
by: Feng, Anqi, et al.
Published: (2024)

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
by: Diakite, Alou, et al.
Published: (2024)

Surface Coil Intensity Correction for MRI
by: Lei, Xuan, et al.
Published: (2023)

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
by: Yavari, Sara, et al.
Published: (2025)

Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction
by: Leynes, Andrew P., et al.
Published: (2022)

Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net
by: Ziaee, Seyed Sina, et al.
Published: (2025)

Adversarial Deep Learning for Simultaneous Segmentation of Ventricular and White Matter Hyperintensities in Clinical MRI
by: Bawil, Mahdi Bashiri, et al.
Published: (2025)

Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
by: Gösche, Erik, et al.
Published: (2024)

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation
by: Shi, Gen, et al.
Published: (2025)

Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet
by: Pandey, Sumit, et al.
Published: (2024)