Cover Image

Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nazib, Abdullah, Hassan, Riad, Islam, Zahidul, Fookes, Clinton
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
by: Islam, Md Rakibul, et al.
Published: (2024)

Uncertainty in Real-Time Semantic Segmentation on Embedded Systems
by: Goan, Ethan, et al.
Published: (2022)

An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images
by: Naziba, Abdullah, et al.
Published: (2025)

Physics-Informed Computer Vision: A Review and Perspectives
by: Banerjee, Chayan, et al.
Published: (2023)

AI, Entrepreneurs, and Privacy: Deep Learning Outperforms Humans in Detecting Entrepreneurs from Image Data
by: Obschonka, Martin, et al.
Published: (2024)

Spectral-Enhanced Transformers: Leveraging Large-Scale Pretrained Models for Hyperspectral Object Tracking
by: Mohamed, Shaheer, et al.
Published: (2025)

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

Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation
by: Zhang, Sheng, et al.
Published: (2024)

Biomechanically Accurate Gait Analysis: A 3d Human Reconstruction Framework for Markerless Estimation of Gait Parameters
by: Pemasiri, Akila, et al.
Published: (2026)

AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images
by: Chen, Gongping, et al.
Published: (2022)

Rethinking U-net Skip Connections for Biomedical Image Segmentation
by: Wilm, Frauke, et al.
Published: (2024)

MOSAIC: A Multi-View 2.5D Organ Slice Selector with Cross-Attentional Reasoning for Anatomically-Aware CT Localization in Medical Organ Segmentation
by: Ghouse, Hania, et al.
Published: (2025)

ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators
by: Ibadulla, Riad, et al.
Published: (2025)

FMD-TransUNet: Abdominal Multi-Organ Segmentation Based on Frequency Domain Multi-Axis Representation Learning and Dual Attention Mechanisms
by: Lu, Fang, et al.
Published: (2025)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation
by: Jha, Debesh, et al.
Published: (2024)

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
by: Liu, Jie, et al.
Published: (2023)

From Registration Uncertainty to Segmentation Uncertainty
by: Chen, Junyu, et al.
Published: (2024)

Progressive Uncertainty-Guided Evidential U-KAN for Trustworthy Medical Image Segmentation
by: Yang, Zhen, et al.
Published: (2025)

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

Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation
by: Čevora, Kate, et al.
Published: (2024)

Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders
by: Lippenszky, Levente, et al.
Published: (2025)

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
by: Krishnaswamy, Deepa, et al.
Published: (2025)

Multi-scale Cascaded Foundation Model for Whole-body Organs-at-risk Segmentation
by: Hao, Rui, et al.
Published: (2024)

Hard Spatial Gating for Precision-Driven Brain Metastasis Segmentation: Addressing the Over-Segmentation Paradox in Deep Attention Networks
by: Prerona, Rowzatul Zannath
Published: (2025)

A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
by: Huang, Ziyan, et al.
Published: (2023)

Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
by: Zami, Abduz, et al.
Published: (2025)

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
by: Jiang, Yufeng, et al.
Published: (2024)

Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature Fusion
by: Wazir, Saad, et al.
Published: (2025)

GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
by: Sun, Chengkun, et al.
Published: (2024)

Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
by: Chen, Gongping, et al.
Published: (2022)

Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans
by: Quetin, Sébastien, et al.
Published: (2024)

Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
by: Luo, Xiangde, et al.
Published: (2024)

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

MD-RWKV-UNet: Scale-Aware Anatomical Encoding with Cross-Stage Fusion for Multi-Organ Segmentation
by: Fang, Zhuoyi
Published: (2026)

Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
by: Cai, Pengzhou, et al.
Published: (2024)

Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
by: Ciausu, Cosmin, et al.
Published: (2024)

A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

A Quantum-assisted Attention U-Net for Building Segmentation over Tunis using Sentinel-1 Data
by: Russo, Luigi, et al.
Published: (2025)

A lightweight Convolutional Neural Network based on U shape structure and Attention Mechanism for Anterior Mediastinum Segmentation
by: Soleimani-Fard, Sina, et al.
Published: (2024)

LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)