Saved in:
| Main Authors: | Weber, Tobias, Dexl, Jakob, Rügamer, David, Ingrisch, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.09683 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025)
by: Lin, Shijie, et al.
Published: (2025)
3D Skin Segmentation Methods in Medical Imaging: A Comparison
by: Paccini, Martina, et al.
Published: (2025)
by: Paccini, Martina, et al.
Published: (2025)
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
by: Peng, Yaopeng, et al.
Published: (2024)
by: Peng, Yaopeng, et al.
Published: (2024)
Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
by: Wang, He, et al.
Published: (2024)
by: Wang, He, et al.
Published: (2024)
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)
by: Kurmukov, Anvar, et al.
Published: (2024)
UNet-3D with Adaptive TverskyCE Loss for Pancreas Medical Image Segmentation
by: Zhang, Xubei, et al.
Published: (2025)
by: Zhang, Xubei, et al.
Published: (2025)
Image Compression with Isotropic and Anisotropic Shepard Inpainting
by: Mohideen, Rahul Mohideen Kaja, et al.
Published: (2024)
by: Mohideen, Rahul Mohideen Kaja, et al.
Published: (2024)
USEANet: Ultrasound-Specific Edge-Aware Multi-Branch Network for Lightweight Medical Image Segmentation
by: Gao, Jingyi, et al.
Published: (2025)
by: Gao, Jingyi, et al.
Published: (2025)
Skill-Evolving Grounded Reasoning for Free-Text Promptable 3D Medical Image Segmentation
by: Zhang, Tongrui, et al.
Published: (2026)
by: Zhang, Tongrui, et al.
Published: (2026)
Dante: An Open Source Model Pre-Training and Fine-Tuning Tool for the Dafne Federated Framework for Medical Image Segmentation
by: Timpano, Giuseppe, et al.
Published: (2026)
by: Timpano, Giuseppe, et al.
Published: (2026)
A Survey on Medical Image Compression: From Traditional to Learning-Based Approaches
by: Tong, Guofeng, et al.
Published: (2025)
by: Tong, Guofeng, et al.
Published: (2025)
On Efficient Neural Network Architectures for Image Compression
by: Zhang, Yichi, et al.
Published: (2024)
by: Zhang, Yichi, et al.
Published: (2024)
Semi-supervised Medical Image Segmentation via Geometry-aware Consistency Training
by: Liu, Zihang, et al.
Published: (2022)
by: Liu, Zihang, et al.
Published: (2022)
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression
by: Cao, Zhi, et al.
Published: (2024)
by: Cao, Zhi, et al.
Published: (2024)
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation
by: Wang, Chuhan, et al.
Published: (2025)
by: Wang, Chuhan, et al.
Published: (2025)
Advancing Medical Image Segmentation via Self-supervised Instance-adaptive Prototype Learning
by: Liang, Guoyan, et al.
Published: (2025)
by: Liang, Guoyan, et al.
Published: (2025)
Synthetic Volumetric Data Generation Enables Zero-Shot Generalization of Foundation Models in 3D Medical Image Segmentation
by: Chakrabarty, Satrajit, et al.
Published: (2026)
by: Chakrabarty, Satrajit, et al.
Published: (2026)
D-CNN and VQ-VAE Autoencoders for Compression and Denoising of Industrial X-ray Computed Tomography Images
by: Hejazi, Bardia, et al.
Published: (2025)
by: Hejazi, Bardia, et al.
Published: (2025)
CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
by: Mallick, Siddhartha, et al.
Published: (2026)
by: Mallick, Siddhartha, et al.
Published: (2026)
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation
by: Saragih, Daniel, et al.
Published: (2023)
by: Saragih, Daniel, et al.
Published: (2023)
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2025)
by: Shen, Zhiqiang, et al.
Published: (2025)
GMISeg: General Medical Image Segmentation without Re-Training
by: Xu, Jing
Published: (2023)
by: Xu, Jing
Published: (2023)
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
by: Celaya, Adrian, et al.
Published: (2023)
by: Celaya, Adrian, et al.
Published: (2023)
Universal End-to-End Neural Network for Lossy Image Compression
by: Arezki, Bouzid, et al.
Published: (2024)
by: Arezki, Bouzid, et al.
Published: (2024)
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
by: Bui-Tran, Quang-Khai, et al.
Published: (2025)
Compressed BC-LISTA via Low-Rank Convolutional Decomposition
by: Wang, Han, et al.
Published: (2026)
by: Wang, Han, et al.
Published: (2026)
Linear Algebraic Approaches to Neuroimaging Data Compression: A Comparative Analysis of Matrix and Tensor Decomposition Methods for High-Dimensional Medical Images
by: Kim, Jaeho, et al.
Published: (2025)
by: Kim, Jaeho, et al.
Published: (2025)
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
by: Gösche, Erik, et al.
Published: (2024)
by: Gösche, Erik, et al.
Published: (2024)
Deconver: A Deconvolutional Network for Medical Image Segmentation
by: Ashtari, Pooya, et al.
Published: (2025)
by: Ashtari, Pooya, et al.
Published: (2025)
Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation
by: Sheng, Jiaxi, et al.
Published: (2025)
by: Sheng, Jiaxi, et al.
Published: (2025)
Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities
by: Wang, Yuli, et al.
Published: (2024)
by: Wang, Yuli, et al.
Published: (2024)
Human Gaze-based Dual Teacher Guidance Learning for Semi-Supervised Medical Image Segmentation
by: Ge, Rongjun, et al.
Published: (2026)
by: Ge, Rongjun, et al.
Published: (2026)
Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
by: Fischer, Maximilian, et al.
Published: (2025)
by: Fischer, Maximilian, et al.
Published: (2025)
Conformal Lesion Segmentation for 3D Medical Images
by: Tan, Binyu, et al.
Published: (2025)
by: Tan, Binyu, et al.
Published: (2025)
BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
by: Nawała, Jakub, et al.
Published: (2024)
by: Nawała, Jakub, et al.
Published: (2024)
A Lightweight Model for Perceptual Image Compression via Implicit Priors
by: Wei, Hao, et al.
Published: (2025)
by: Wei, Hao, et al.
Published: (2025)
M$^4$oE: A Foundation Model for Medical Multimodal Image Segmentation with Mixture of Experts
by: Jiang, Yufeng, et al.
Published: (2024)
by: Jiang, Yufeng, et al.
Published: (2024)
Optimization of Fractal Image Compression
by: Bagheritabar, Nastaran Pourshab Mohsen
Published: (2025)
by: Bagheritabar, Nastaran Pourshab Mohsen
Published: (2025)
Reduced bit median quantization: A middle process for Efficient Image Compression
by: Abebayew, Fikresilase Wondmeneh
Published: (2024)
by: Abebayew, Fikresilase Wondmeneh
Published: (2024)
Tensor Star Tensor Decomposition and Its Applications to Higher-order Compression and Completion
by: Zhou, Wuyang, et al.
Published: (2024)
by: Zhou, Wuyang, et al.
Published: (2024)
Similar Items
-
MDN: Mamba-Driven Dualstream Network For Medical Hyperspectral Image Segmentation
by: Lin, Shijie, et al.
Published: (2025) -
3D Skin Segmentation Methods in Medical Imaging: A Comparison
by: Paccini, Martina, et al.
Published: (2025) -
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
by: Peng, Yaopeng, et al.
Published: (2024) -
Unsupervised Hyperspectral and Multispectral Image Blind Fusion Based on Deep Tucker Decomposition Network with Spatial-Spectral Manifold Learning
by: Wang, He, et al.
Published: (2024) -
The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
by: Kurmukov, Anvar, et al.
Published: (2024)