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

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

22 August 2018
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
    MedIm
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Papers citing "Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images"

50 / 106 papers shown
Title
PATO: Producibility-Aware Topology Optimization using Deep Learning for
  Metal Additive Manufacturing
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
Mixed Transformer U-Net For Medical Image Segmentation
Hongyi Wang
Shiao Xie
Lanfen Lin
Yutaro Iwamoto
X. Han
Yenwei Chen
Ruofeng Tong
ViT
MedIm
32
245
0
08 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A
  Review of Interpretability Methods
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
24
306
0
01 Nov 2021
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising
  Performance
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance
Yuya Onishi
F. Hashimoto
K. Ote
H. Ohba
R. Ota
E. Yoshikawa
Yasuomi Ouchi
MedIm
23
30
0
02 Sep 2021
Self-supervised Multi-scale Consistency for Weakly Supervised
  Segmentation Learning
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
31
5
0
26 Aug 2021
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based
  Deep Auto-Encoder
Segmentation of Shoulder Muscle MRI Using a New Region and Edge based Deep Auto-Encoder
Dr. Saddam Hussain Khan
Asifullah Khan
Yeon Soo Lee
Mehdi Hassan
Woong-Kyo Jeong
31
21
0
26 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A
  Survey
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
53
83
0
19 Aug 2021
Explainable artificial intelligence (XAI) in deep learning-based medical
  image analysis
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
40
638
0
22 Jul 2021
Modality-aware Mutual Learning for Multi-modal Medical Image
  Segmentation
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Yao Zhang
Jiawei Yang
Jiang Tian
Zhongchao Shi
Cheng Zhong
Yang Zhang
Zhiqiang He
37
90
0
21 Jul 2021
TransClaw U-Net: Claw U-Net with Transformers for Medical Image
  Segmentation
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation
Yao Chang
Menghan Hu
Zhai Guangtao
Xiao-Ping Zhang
MedIm
ViT
76
96
0
12 Jul 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
45
41
0
07 Jul 2021
ResViT: Residual vision transformers for multi-modal medical image
  synthesis
ResViT: Residual vision transformers for multi-modal medical image synthesis
Onat Dalmaz
Mahmut Yurt
Tolga Çukur
ViT
MedIm
32
338
0
30 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
18
574
0
27 May 2021
Cross-Modality Brain Tumor Segmentation via Bidirectional
  Global-to-Local Unsupervised Domain Adaptation
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation
Kelei He
Wen Ji
Tao Zhou
Zhuoyuan Li
Jing Huo
Xin Zhang
Yang Gao
Dinggang Shen
Bing-Bin Zhang
Junfeng Zhang
OOD
17
7
0
17 May 2021
Development of a Multi-Task Learning V-Net for Pulmonary Lobar
  Segmentation on Computed Tomography and Application to Diseased Lungs
Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs
M. Martell
Mitchell Chen
K. Linton-Reid
J. Posma
S. Copley
E. Aboagye
11
3
0
11 May 2021
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage
  Scoring in X-rays
Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage Scoring in X-rays
Krzysztof Maziarz
A. Krason
Z. Wojna
MedIm
30
9
0
28 Apr 2021
Agent with Warm Start and Adaptive Dynamic Termination for Plane
  Localization in 3D Ultrasound
Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
Xin Yang
Haoran Dou
Ruobing Huang
Wufeng Xue
Yuhao Huang
...
H. Luo
Huizhi Guo
Tianfu Wang
Yi Xiong
Dong Ni
9
20
0
26 Mar 2021
U-Net Transformer: Self and Cross Attention for Medical Image
  Segmentation
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Olivier Petit
Nicolas Thome
Clément Rambour
L. Soler
ViT
MedIm
35
237
0
10 Mar 2021
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Wenxuan Wang
Chia-Ju Chen
Meng Ding
Jiangyun Li
Hong Yu
Sen Zha
ViT
MedIm
8
701
0
07 Mar 2021
Learning With Context Feedback Loop for Robust Medical Image
  Segmentation
Learning With Context Feedback Loop for Robust Medical Image Segmentation
K. Girum
G. Créhange
A. Lalande
MedIm
22
39
0
04 Mar 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViT
MedIm
206
894
0
16 Feb 2021
DeepRA: Predicting Joint Damage From Radiographs Using CNN with
  Attention
DeepRA: Predicting Joint Damage From Radiographs Using CNN with Attention
Neelam Chaturvedi
29
10
0
13 Feb 2021
Sequential vessel segmentation via deep channel attention network
Sequential vessel segmentation via deep channel attention network
Dongdong Hao
Song Ding
Linwei Qiu
Yisong Lv
B. Fei
Yueqi Zhu
Binjie Qin
38
52
0
10 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
32
394
0
08 Feb 2021
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of
  Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
A. Saha
M. Hosseinzadeh
Henkjan Huisman
MedIm
42
130
0
08 Jan 2021
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion
  Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
Tanvir Mahmud
Md. Jahin Alam
Sakib Chowdhury
Shams Nafisa Ali
Md. Maisoon Rahman
Shaikh Anowarul Fattah
Mohammad Saquib
18
37
0
03 Jan 2021
Exploiting Shared Knowledge from Non-COVID Lesions for
  Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Yichi Zhang
Qingcheng Liao
Lin Yuan
He Zhu
Jiezhen Xing
Jicong Zhang
52
23
0
31 Dec 2020
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Inter-slice Context Residual Learning for 3D Medical Image Segmentation
Jianpeng Zhang
Yutong Xie
Yan Wang
Yong-quan Xia
SSeg
MedIm
24
88
0
28 Nov 2020
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance
  Image Scans
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans
Fatih Altay
G. Sánchez
Y. James
S. Faraone
Senem Velipasalar
Asif Salekin
20
37
0
28 Nov 2020
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
28
1,045
0
02 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
A. Nandi
SSeg
OOD
33
544
0
28 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for
  Explainable Medical Image Segmentation
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
SSeg
42
457
0
22 Sep 2020
Learning to Segment from Scribbles using Multi-scale Adversarial
  Attention Gates
Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
16
5
0
02 Jul 2020
An encoder-decoder-based method for COVID-19 lung infection segmentation
An encoder-decoder-based method for COVID-19 lung infection segmentation
O. Elharrouss
Nandhini Subramanian
S. Al-Maadeed
22
36
0
02 Jul 2020
Boundary-aware Context Neural Network for Medical Image Segmentation
Boundary-aware Context Neural Network for Medical Image Segmentation
Ruxin Wang
Shuyuan Chen
Chaojie Ji
Jianping Fan
Ye Li
27
138
0
03 May 2020
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in
  Prenatal Ultrasound Volumes
Hybrid Attention for Automatic Segmentation of Whole Fetal Head in Prenatal Ultrasound Volumes
Xin Yang
Xu Wang
Yi Wang
Haoran Dou
Shengli Li
H. Wen
Yi Lin
Pheng-Ann Heng
Dong Ni
19
19
0
28 Apr 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan
Tao Zhou
Ge-Peng Ji
Yi Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
11
962
0
22 Apr 2020
Differentiable Top-k Operator with Optimal Transport
Differentiable Top-k Operator with Optimal Transport
Yujia Xie
H. Dai
Minshuo Chen
Bo Dai
T. Zhao
H. Zha
Wei Wei
Tomas Pfister
OT
32
27
0
16 Feb 2020
Liver Segmentation in Abdominal CT Images via Auto-Context Neural
  Network and Self-Supervised Contour Attention
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention
Minyoung Chung
Jingyu Lee
Jeongjin Lee
Y. Shin
MedIm
16
29
0
14 Feb 2020
An interpretable classifier for high-resolution breast cancer screening
  images utilizing weakly supervised localization
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Yiqiu Shen
Nan Wu
Jason Phang
Jungkyu Park
Kangning Liu
...
Laura Heacock
S. G. Kim
Linda Moy
Kyunghyun Cho
Krzysztof J. Geras
23
168
0
13 Feb 2020
Breast mass segmentation based on ultrasonic entropy maps and attention
  gated U-Net
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
Michal Byra
Piotr Jarosik
K. Dobruch-Sobczak
Z. Klimonda
H. Piotrzkowska-Wróblewska
J. Litniewski
A. Nowicki
18
8
0
27 Jan 2020
SAUNet: Shape Attentive U-Net for Interpretable Medical Image
  Segmentation
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
Jesse Sun
Fatemeh Darbeha
M. Zaidi
Bo Wang
AAML
19
110
0
21 Jan 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur
N. Gezer
M. Baris
Sinem Aslan
Pierre-Henri Conze
...
Klaus H. Maier-Hein
G. Akar
Gözde B. Ünal
O. Dicle
M. Alper Selver
50
611
0
17 Jan 2020
Deep Learning-Based Solvability of Underdetermined Inverse Problems in
  Medical Imaging
Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Chang Min Hyun
Seong Hyeon Baek
M. Lee
S. Lee
J.K. Seo
27
39
0
06 Jan 2020
Re-Identification and Growth Detection of Pulmonary Nodules without
  Image Registration Using 3D Siamese Neural Networks
Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks
Xavier Rafael-Palou
A. Aubanell
Ilaria Bonavita
M. Ceresa
Gemma Piella
Vicent J. Ribas
M. A. G. Ballester
21
29
0
22 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
667
0
16 Oct 2019
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction
  of Sepsis
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
Margherita Rosnati
Vincent Fortuin
23
34
0
27 Sep 2019
Model-Based and Data-Driven Strategies in Medical Image Computing
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
Julia A. Schnabel
OOD
MedIm
AI4CE
28
50
0
23 Sep 2019
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image
  Segmentation
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation
Shuai Chen
Gerda Bortsova
Antonio Garcia-Uceda Juarez
Gijs van Tulder
Marleen de Bruijne
19
154
0
29 Jul 2019
Multi-scale self-guided attention for medical image segmentation
Multi-scale self-guided attention for medical image segmentation
Ashish Sinha
Jose Dolz
SSeg
31
413
0
07 Jun 2019
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