Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

22 August 2018

Papers citing "Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images"

50 / 101 papers shown

Title
Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation Yi-Mou Lin Dong-Ming Zhang X. B. Fang Yufan Chen K.-T. Cheng Hao Chen 33 0 0 06 May 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation Jutika Borah H. Singh MedIm 48 0 0 14 Mar 2025
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets B. Sun P. Liò 57 0 0 25 Feb 2025
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation Qihang Xie Mengguo Guo Lei Mou Dan Zhang Da Chen Caifeng Shan Yitian Zhao Ruisheng Su Jiong Zhang 111 1 0 21 Feb 2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers Bohang Sun Pietro Liò ViT AAML 45 1 0 02 Jan 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 79 1 0 17 Dec 2024
TransDAE: Dual Attention Mechanism in a Hierarchical Transformer for Efficient Medical Image Segmentation Bobby Azad Pourya Adibfar Kaiqun Fu ViT MedIm 31 0 0 03 Sep 2024
MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation Beoungwoo Kang Seunghun Moon Yubin Cho Hyunwoo Yu Suk-Ju Kang ViT MedIm 32 8 0 14 Aug 2024
CausalCellSegmenter: Causal Inference inspired Diversified Aggregation Convolution for Pathology Image Segmentation Dawei Fan Yifan Gao Jiaming Yu Yanping Chen Wencheng Li Chuancong Lin Kaibin Li Changcai Yang Riqing Chen Lifang Wei 38 1 0 10 Mar 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts Ziheng Zhao Yao Zhang Chaoyi Wu Xiaoman Zhang Ya Zhang Yanfeng Wang Weidi Xie VLM MedIm 32 37 0 28 Dec 2023
Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses Bo Yang Hong Peng Xiaohui Luo Jun Wang 21 0 0 20 Dec 2023
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention Hao Shao Quansheng Zeng Qibin Hou Jufeng Yang 51 13 0 14 Dec 2023
Enhancing Rock Image Segmentation in Digital Rock Physics: A Fusion of Generative AI and State-of-the-Art Neural Networks Zhaoyang Ma Xupeng He Hyung Kwak Jun Gao Shuyu Sun Bicheng Yan AI4CE 34 3 0 10 Nov 2023
SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentation Tan-Hanh Pham Xianqi Li Kim-Doang Nguyen MedIm ViT 26 8 0 16 Oct 2023
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers Jieneng Chen Jieru Mei Xianhang Li Yongyi Lu Qihang Yu ... M. Lungren Lei Xing Le Lu Alan Yuille Yuyin Zhou MedIm ViT 38 36 0 11 Oct 2023
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results Gianluca Carloni Sara Colantonio 32 8 0 19 Sep 2023
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation Liang Xu Mingxi Chen Yiyu Cheng Pengfei Shao Shuwei Shen Peng Yao Ronald X. Xu ViT 32 0 0 27 Jul 2023
Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery Segmentation Dianye Huang Yuanwei Bi Nassir Navab Zhongliang Jiang MedIm 21 10 0 07 Jul 2023
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection M. Astaraki F. Benetti Yousef Yeganeh I. Toma-Dasu Orjan Smedby Chunliang Wang Nassir Navab T. Wendler 20 6 0 21 May 2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks Ragnhild Holden Helland Alexandros Ferles André Pedersen I. Kommers H. Ardon ... O. Solheim P. D. W. Hamer Ingerid Reinertsen R. Eijgelaar D. Bouget 26 16 0 18 Apr 2023
Transformer-based interpretable multi-modal data fusion for skin lesion classification Theodor Cheslerean-Boghiu Melia-Evelina Fleischmann Theresa Willem Tobias Lasser ViT MedIm AI4CE 24 2 0 03 Apr 2023
Token Sparsification for Faster Medical Image Segmentation Lei Zhou Huidong Liu Joseph Bae Junjun He Dimitris Samaras Prateek Prasanna MedIm 30 3 0 11 Mar 2023
Transferring Models Trained on Natural Images to 3D MRI via Position Encoded Slice Models Umang Gupta Tamoghna Chattopadhyay Nikhil J. Dhinagar Paul M. Thompson Greg Ver Steeg The Alzheimer’s Disease Neuroimaging Initiative MedIm 44 7 0 02 Mar 2023
GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation Zezheng Zhang Ryan K. Y. Chan Kenneth K. Y. Wong MDE ViT 13 1 0 20 Feb 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review Reza Azad A. Kazerouni Moein Heidari Ehsan Khodapanah Aghdam Amir Molaei Yiwei Jia Abin Jose Rijo Roy Dorit Merhof MedIm ViT 41 162 0 09 Jan 2023
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi P. Yi Jeremias Sulam 32 3 0 29 Nov 2022
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Prediction Jian Wang Xiang Long Guowei Chen Zewu Wu Zeyu Chen Errui Ding SSeg 25 11 0 13 Oct 2022
RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation Reza Rasti Armin Biglari Mohammad Rezapourian Ziyun Yang Sina Farsiu 43 30 0 26 Sep 2022
Attention-based Interpretable Regression of Gene Expression in Histology Mara Graziani Niccolo Marini Nicolas Deutschmann Nikita Janakarajan Henning Muller María Rodríguez Martínez MedIm 46 5 0 29 Aug 2022
Cats: Complementary CNN and Transformer Encoders for Segmentation Hao Li Dewei Hu Han Liu Jiacheng Wang I. Oguz ViT MedIm 26 22 0 24 Aug 2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation Huimin Huang Shiao Xie Lanfen Lin Yutaro Iwamoto X. Han Yen-Wei Chen Ruofeng Tong ViT MedIm 27 45 0 29 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 29 152 0 28 Jul 2022
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation Moein Heidari A. Kazerouni Milad Soltany Kadarvish Reza Azad Ehsan Khodapanah Aghdam Julien Cohen-Adad Dorit Merhof MedIm ViT 25 178 0 18 Jul 2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis Onat Dalmaz Muhammad Usama Mirza Gokberk Elmas Muzaffer Özbey S. Dar Emir Ceyani Salman Avestimehr Tolga cCukur MedIm 31 39 0 13 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis V. SukeshAdiga Jose Dolz H. Lombaert 21 1 0 18 Jun 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet Nan Wang Shaohui Lin Xiaoxiao Li Ke Li Yunhang Shen Yue Gao Lizhuang Ma ViT MedIm 49 33 0 02 Jun 2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements Szymon Płotka Adam Klasa Aneta Lisowska Joanna Seliga-Siwecka M. Lipa Tomasz Trzciñski Arkadiusz Sitek 32 33 0 27 May 2022
UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation Ledan Qian Xiao Zhou Yi Li Zhongyi Hu 44 5 0 24 May 2022
ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation N. Duc Nguyen Thi Oanh N. T. Thuy Trần Minh Triết V. Dinh ViT MedIm 138 118 0 17 May 2022
Attention U-Net as a surrogate model for groundwater prediction M. L. Taccari J. Nuttall Xiaohui Chen He Wang B. Minnema P. Jimack AI4CE 34 16 0 09 Apr 2022
Surface Vision Transformers: Attention-Based Modelling applied to Cortical Analysis Simon Dahan Abdulah Fawaz Logan Z. J. Williams Chunhui Yang Timothy S. Coalson M. Glasser A. Edwards Daniel Rueckert E. C. Robinson MedIm ViT 40 20 0 30 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification Zhibin Liao Kewen Liao Haifeng Shen M. F. van Boxel J. Prijs R. Jaarsma J. Doornberg Anton Van Den Hengel Johan W. Verjans 25 14 0 21 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark Yunhe Gao Mu Zhou Ding Liu Zhennan Yan Shaoting Zhang Dimitris N. Metaxas ViT MedIm 26 68 0 28 Feb 2022
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis M. C. Fiorentino Francesca Pia Villani M. D. Cosmo Emanuele Frontoni S. Moccia 21 101 0 28 Jan 2022
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers Georg Hille Shubham Agrawal Pavan Tummala C. Wybranski M. Pech A. Surov S. Saalfeld ViT MedIm 19 26 0 26 Jan 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data Yuyin Zhou D. Dreizin Yan Wang Fengze Liu Wei Shen Alan Yuille 20 16 0 04 Jan 2022
Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain Stefan Wapnick Travis Manderson D. Meger Gregory Dudek 31 5 0 09 Dec 2021
PATO: Producibility-Aware Topology Optimization using Deep Learning for Metal Additive Manufacturing Naresh S. Iyer Amir M. Mirzendehdel S. Raghavan Yang Jiao Erva Ulu M. Behandish S. Nelaturi D. Robinson AI4CE 25 10 0 08 Dec 2021
Mixed Transformer U-Net For Medical Image Segmentation Hongyi Wang Shiao Xie Lanfen Lin Yutaro Iwamoto X. Han Yenwei Chen Ruofeng Tong ViT MedIm 30 244 0 08 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 24 303 0 01 Nov 2021