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Bibliographic Details
Main Authors:	Lee, Haebom, Kim, Gyeongjung
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.14123
Tags:	Add Tag No Tags, Be the first to tag this record!

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)

Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images
by: Sadia, Rabeya Tus, et al.
Published: (2024)

LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images
by: Ding, Yujie, et al.
Published: (2025)

LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
by: Jiang, Juntao, et al.
Published: (2024)

Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables
by: Kim, Wontae, et al.
Published: (2025)

Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
by: Bui, Phuoc-Nguyen, et al.
Published: (2024)

Enhancing Medical Image Analysis through Geometric and Photometric transformations
by: Rais, Khadija, et al.
Published: (2025)

Universal Medical Imaging Model for Domain Generalization with Data Privacy
by: Radwan, Ahmed, et al.
Published: (2024)

LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation
by: Liao, Weibin, et al.
Published: (2024)

MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation
by: Zeng, Yucheng
Published: (2025)

TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation
by: Wu, Yanlin, et al.
Published: (2024)

Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
by: Li, Jianan, et al.
Published: (2026)

Lightweight Medical Image Restoration via Integrating Reliable Lesion-Semantic Driven Prior
by: Zheng, Pengcheng, et al.
Published: (2025)

Region Attention Transformer for Medical Image Restoration
by: Yang, Zhiwen, et al.
Published: (2024)

Complex Style Image Transformations for Domain Generalization in Medical Images
by: Spanos, Nikolaos, et al.
Published: (2024)

Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery
by: Lee, Kyung-hwan, et al.
Published: (2024)

On Disentangled Training for Nonlinear Transform in Learned Image Compression
by: Li, Han, et al.
Published: (2025)

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
by: Yadav, Nand Kumar, et al.
Published: (2025)

LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement
by: Brateanu, A., et al.
Published: (2024)

Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging
by: Lee, Byeonghyeon, et al.
Published: (2024)

De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
by: Rempe, Moritz, et al.
Published: (2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
by: Li, Liu, et al.
Published: (2024)

Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise
by: Yu, Yeonguk, et al.
Published: (2024)

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion
by: Lee, Chia-Ming, et al.
Published: (2025)

Deep Perceptual Enhancement for Medical Image Analysis
by: Sharif, S M A, et al.
Published: (2025)

PINNs for Medical Image Analysis: A Survey
by: Banerjee, Chayan, et al.
Published: (2024)

Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)

MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
by: Zhu, Hancan, et al.
Published: (2025)

Learning from Compressed CT: Feature Attention Style Transfer and Structured Factorized Projections for Resource-Efficient Medical Image Analysis
by: Yousuf, Shadid, et al.
Published: (2026)

AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation
by: Qiu, Peijie, et al.
Published: (2024)

Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data
by: Feng, Yinqiu, et al.
Published: (2024)

Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
by: Hou, Jinhui, et al.
Published: (2023)

LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction
by: Yu, Zhongxin, et al.
Published: (2024)

Multi-Scale Feature Prediction with Auxiliary-Info for Neural Image Compression
by: Shin, Chajin, et al.
Published: (2024)

Diffusion-Based Approaches in Medical Image Generation and Analysis
by: Nafi, Abdullah al Nomaan, et al.
Published: (2024)

Federated Learning for Medical Image Analysis: A Survey
by: Guan, Hao, et al.
Published: (2023)

Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
by: Zhan, Qishi, et al.
Published: (2024)

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
by: Zhang, Andrew, et al.
Published: (2025)

Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study
by: Kim, Jonghun, et al.
Published: (2023)

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