Cover Image

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lu, Jinpeng, Cai, Linghan, Chen, Yinda, Tang, Guo, Jiang, Songhan, Shi, Haoyuan, Xiong, Zhiwei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
by: Lu, Jinpeng, et al.
Published: (2024)

IPGPhormer: Interpretable Pathology Graph-Transformer for Survival Analysis
by: Tang, Guo, et al.
Published: (2025)

Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registration
by: Liu, Che, et al.
Published: (2025)

PathReasoner-R1: Instilling Structured Reasoning into Pathology Vision-Language Model via Knowledge-Guided Policy Optimization
by: Jiang, Songhan, et al.
Published: (2026)

TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
by: Chen, Yinda, et al.
Published: (2024)

PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology
by: Liu, Fengchun, et al.
Published: (2025)

Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
by: Jiang, Songhan, et al.
Published: (2024)

EventSTU: Event-Guided Efficient Spatio-Temporal Understanding for Video Large Language Models
by: Xu, Wenhao, et al.
Published: (2025)

Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry
by: Deng, Chengyuan, et al.
Published: (2025)

Rethinking Attention-Based Multiple Instance Learning for Whole-Slide Pathological Image Classification: An Instance Attribute Viewpoint
by: Cai, Linghan, et al.
Published: (2024)

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
by: Chen, Yinda, et al.
Published: (2024)

On Sparsity and Sub-Gaussianity in the Johnson-Lindenstrauss Lemma
by: Garivier, Aurélien, et al.
Published: (2024)

SEINE: Structure Encoding and Interaction Network for Nuclei Instance Segmentation
by: Zhang, Ye, et al.
Published: (2024)

PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic Reasoning
by: Chen, Jingyun, et al.
Published: (2025)

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
by: Mao, Fuyou, et al.
Published: (2025)

An Analysis of the Johnson-Lindenstrauss Lemma with the Bivariate Gamma Distribution
by: Bernstein, Jason, et al.
Published: (2023)

Dual form Complementary Masking for Domain-Adaptive Image Segmentation
by: Wang, Jiawen, et al.
Published: (2025)

U-MAN: U-Net with Multi-scale Adaptive KAN Network for Medical Image Segmentation
by: Huang, Bohan, et al.
Published: (2025)

Tiny-YOLOSAM: Fast Hybrid Image Segmentation
by: Xu, Kenneth, et al.
Published: (2025)

3DMedAgent: Unified Perception-to-Understanding for 3D Medical Analysis
by: Wang, Ziyue, et al.
Published: (2026)

QMamba: Post-Training Quantization for Vision State Space Models
by: Li, Yinglong, et al.
Published: (2025)

TK-Mamba: Marrying KAN With Mamba for Text-Driven 3D Medical Image Segmentation
by: Yang, Haoyu, et al.
Published: (2025)

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation
by: Lan, Libin, et al.
Published: (2024)

Query-guided Prototype Evolution Network for Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2024)

SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
by: Perera, Shehan, et al.
Published: (2024)

Dynamic Pseudo Label Optimization in Point-Supervised Nuclei Segmentation
by: Wang, Ziyue, et al.
Published: (2024)

Interactive 3D Medical Image Segmentation with SAM 2
by: Shen, Chuyun, et al.
Published: (2024)

UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
by: Shaker, Abdelrahman, et al.
Published: (2022)

Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
by: An, Delin, et al.
Published: (2024)

ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation
by: Xin, Yu, et al.
Published: (2026)

Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation
by: Lin, Hongbin, et al.
Published: (2025)

VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
by: He, Yufan, et al.
Published: (2024)

ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation
by: Lan, Qizhen, et al.
Published: (2026)

GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision
by: Li, Zehao, et al.
Published: (2024)

Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)

RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation
by: Gao, Xiang, et al.
Published: (2024)

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation
by: Yang, Runzhao, et al.
Published: (2024)

Staged Voxel-Level Deep Reinforcement Learning for 3D Medical Image Segmentation with Noisy Annotations
by: Fu, Yuyang, et al.
Published: (2026)

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
by: Zhang, Jinming, et al.
Published: (2026)

Multimodal 3D Reasoning Segmentation with Complex Scenes
by: Jiang, Xueying, et al.
Published: (2024)