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Concurrent Spatial and Channel Squeeze & Excitation in Fully
  Convolutional Networks

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

7 March 2018
Abhijit Guha Roy
Nassir Navab
Christian Wachinger
ArXivPDFHTML

Papers citing "Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks"

50 / 51 papers shown
Title
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering
Wei Yang
Yiran Zhu
Jiayu Shen
Yuhan Tang
Chengchang Pan
Hui He
Yan Su
Honggang Qi
59
0
0
27 Feb 2025
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
C. L. P. Chen
OOD
19
2
0
02 Jul 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in
  Autonomous Driving: A Comprehensive Review
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Xiaoyu Huang
Zhuoxiao Li
Xiangyu Sha
...
Eng Gee Lim
H. Seo
Ka Lok Man
Xiaohui Zhu
Yutao Yue
41
91
0
20 Apr 2023
ADS_UNet: A Nested UNet for Histopathology Image Segmentation
ADS_UNet: A Nested UNet for Histopathology Image Segmentation
Yi-Lun Yang
S. Dasmahapatra
S. Mahmoodi
MedIm
SSeg
26
16
0
10 Apr 2023
Attention-based convolutional neural network for perfusion T2-weighted
  MR images preprocessing
Attention-based convolutional neural network for perfusion T2-weighted MR images preprocessing
Svitlana Alkhimova
Oleksii Diumin
13
0
0
04 Mar 2023
FCB-SwinV2 Transformer for Polyp Segmentation
FCB-SwinV2 Transformer for Polyp Segmentation
Kerr Fitzgerald
B. Matuszewski
ViT
MedIm
13
12
0
02 Feb 2023
Acute ischemic stroke lesion segmentation in non-contrast CT images
  using 3D convolutional neural networks
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
A. Dobshik
S. Verbitskiy
I. Pestunov
K. Sherman
Yuriy Sinyavskiy
A. Tulupov
V. Berikov
26
6
0
17 Jan 2023
Progressive Knowledge Transfer Based on Human Visual Perception
  Mechanism for Perceptual Quality Assessment of Point Clouds
Progressive Knowledge Transfer Based on Human Visual Perception Mechanism for Perceptual Quality Assessment of Point Clouds
Qi Liu
Yiyun Liu
Honglei Su
Hui Yuan
R. Hamzaoui
11
9
0
30 Nov 2022
DEEP$^2$: Deep Learning Powered De-scattering with Excitation Patterning
DEEP2^22: Deep Learning Powered De-scattering with Excitation Patterning
Navodini Wijethilake
Mithunjha Anandakumar
Cheng Zheng
Peter T. C. So
Murat Yildirim
D. Wadduwage
19
1
0
19 Oct 2022
The Change You Want to See
The Change You Want to See
Ragav Sachdeva
Andrew Zisserman
31
3
0
28 Sep 2022
Rethinking the Unpretentious U-net for Medical Ultrasound Image
  Segmentation
Rethinking the Unpretentious U-net for Medical Ultrasound Image Segmentation
Gongping Chen
L. Li
Jianxun Zhang
Yu Dai
SSeg
21
66
0
15 Sep 2022
Switchable Representation Learning Framework with Self-compatibility
Switchable Representation Learning Framework with Self-compatibility
Shengsen Wu
Yan Bai
Yihang Lou
Xiongkun Linghu
Jianzhong He
Ling-yu Duan
22
1
0
16 Jun 2022
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network
  with Mixed Multi-layer Attention
Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention
Yuxi Cai
Huicheng Lai
SupR
16
7
0
27 May 2022
Video-based Formative and Summative Assessment of Surgical Tasks using
  Deep Learning
Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning
Erim Yanik
Uwe Krüger
Xavier Intes
Rahul Rahul
S. De
17
12
0
17 Mar 2022
A Dynamic Residual Self-Attention Network for Lightweight Single Image
  Super-Resolution
A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution
Karam Park
Jae Woong Soh
N. Cho
19
68
0
08 Dec 2021
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural
  Network for Brain Tumor Segmentation with Missing MR Modalities
Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
MedIm
35
42
0
08 Nov 2021
A Tri-attention Fusion Guided Multi-modal Segmentation Network
A Tri-attention Fusion Guided Multi-modal Segmentation Network
Tongxue Zhou
S. Ruan
P. Vera
S. Canu
MedIm
35
45
0
02 Nov 2021
PL-Net: Progressive Learning Network for Medical Image Segmentation
PL-Net: Progressive Learning Network for Medical Image Segmentation
Junlong Cheng
Chengrui Gao
Chaoqing Wang
Zhang Ming
Yong-Liang Yang
Min Zhu
SSeg
24
1
0
27 Oct 2021
A Vision-based Irregular Obstacle Avoidance Framework via Deep
  Reinforcement Learning
A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning
Lingping Gao
J. Ding
Wenxi Liu
Haiyin Piao
Yuxin Wang
Xin Yang
Baocai Yin
3DV
24
14
0
16 Aug 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation
  without Ground-truth
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
57
18
0
12 Jul 2021
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery
  Segmentation
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
Joao Lourencco Silva
M. Menezes
T. Rodrigues
B. Silva
F. Pinto
Arlindo L. Oliveira
MedIm
31
17
0
21 Jun 2021
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image
  Segmentation
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation
R. Gandhi
Yi Hong
20
0
0
10 May 2021
Augmenting Deep Classifiers with Polynomial Neural Networks
Augmenting Deep Classifiers with Polynomial Neural Networks
Grigorios G. Chrysos
Markos Georgopoulos
Jiankang Deng
Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
17
18
0
16 Apr 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation
  with Missing MRI Modalities
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
24
141
0
13 Apr 2021
FatNet: A Feature-attentive Network for 3D Point Cloud Processing
FatNet: A Feature-attentive Network for 3D Point Cloud Processing
Chaitanya Kaul
Nick E. Pears
S. Manandhar
3DPC
28
25
0
07 Apr 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
29
236
0
10 Mar 2021
CHS-Net: A Deep learning approach for hierarchical segmentation of
  COVID-19 infected CT images
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
Narinder Singh Punn
Sonali Agarwal
26
31
0
13 Dec 2020
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous
  Vehicles
Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles
Ritu Yadav
A. Vierling
Karsten Berns
6
13
0
31 Aug 2020
Improving Monocular Depth Estimation by Leveraging Structural Awareness
  and Complementary Datasets
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
Tian Chen
S. An
Yuan Zhang
Chongyang Ma
Huayan Wang
Xiaoyan Guo
Wen Zheng
MDE
41
31
0
22 Jul 2020
Learning and Reasoning with the Graph Structure Representation in
  Robotic Surgery
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Mobarakol Islam
Seenivasan Lalithkumar
Lim Chwee Ming
Hongliang Ren
25
38
0
07 Jul 2020
Sound Event Localization and Detection using Squeeze-Excitation Residual
  CNNs
Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs
Javier Naranjo-Alcazar
Sergi Perez-Castanos
J. Ferrandis
P. Zuccarello
M. Cobos
17
11
0
25 Jun 2020
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time
  Instrument Detection and Segmentation in Robot-assisted Surgery
AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery
Mobarakol Islam
V. Vibashan
Hongliang Ren
26
28
0
10 Mar 2020
Blind Image Restoration without Prior Knowledge
Blind Image Restoration without Prior Knowledge
N. Elron
S. Yuval
Dmitry Rudoy
Noam Levy
23
6
0
03 Mar 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for
  Multi-detector CT Images
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina
M. Husseini
Amirhossein Bayat
Maximilian Löffler
Hans Liebl
...
Ben Glocker
A. Valentinitsch
Markus Rempfler
Bjorn H. Menze
Jan S. Kirschke
24
246
0
24 Jan 2020
Multi-sequence Cardiac MR Segmentation with Adversarial Domain
  Adaptation Network
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Jiexiang Wang
Hongyu Huang
Chaoqi Chen
Wenao Ma
Yue Huang
Xinghao Ding
OOD
21
22
0
28 Oct 2019
Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye
  Region Segmentation
Eyenet: Attention based Convolutional Encoder-Decoder Network for Eye Region Segmentation
Priya Kansal
S. Nathan
24
27
0
08 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
16
751
0
27 Aug 2019
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Boyuan Ma
Xiaojuan Ban
Haiyou Huang
Yu Zhu
19
196
0
05 Aug 2019
Cross Attention Network for Semantic Segmentation
Cross Attention Network for Semantic Segmentation
Mengyu Liu
Hujun Yin
3DPC
SSeg
21
18
0
25 Jul 2019
Mixed-Supervised Dual-Network for Medical Image Segmentation
Mixed-Supervised Dual-Network for Medical Image Segmentation
Duo Wang
Ming Li
N. Ben-Shlomo
C. Corrales
Yu Cheng
Tao Zhang
J. Jayender
16
28
0
24 Jul 2019
Attentive CT Lesion Detection Using Deep Pyramid Inference with
  Multi-Scale Booster
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster
Qingbin Shao
Lijun Gong
Kai Ma
Hualuo Liu
Yefeng Zheng
MedIm
16
36
0
09 Jul 2019
SkeletonNet: Shape Pixel to Skeleton Pixel
SkeletonNet: Shape Pixel to Skeleton Pixel
S. Nathan
Priya Kansal
3DV
21
21
0
02 Jul 2019
Automated Design of Deep Learning Methods for Biomedical Image
  Segmentation
Automated Design of Deep Learning Methods for Biomedical Image Segmentation
Fabian Isensee
Paul F. Jäger
Simon A. A. Kohl
Jens Petersen
Klaus H. Maier-Hein
3DV
SSeg
23
170
0
17 Apr 2019
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an
  Ensemble of Convolutional Neural Networks
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin
A. Sanakoyeu
Hirotoshi Kitamura
24
59
0
09 Apr 2019
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
Abhijit Guha Roy
Shayan Siddiqui
Sebastian Polsterl
Nassir Navab
Christian Wachinger
13
181
0
04 Feb 2019
A Survey of the Recent Architectures of Deep Convolutional Neural
  Networks
A Survey of the Recent Architectures of Deep Convolutional Neural Networks
Asifullah Khan
A. Sohail
Umme Zahoora
Aqsa Saeed Qureshi
OOD
8
2,268
0
17 Jan 2019
AUNet: Attention-guided dense-upsampling networks for breast mass
  segmentation in whole mammograms
AUNet: Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
Hui Sun
Cheng Li
Boqiang Liu
Hairong Zheng
David Dagan Feng
Shanshan Wang
24
120
0
24 Oct 2018
Triple Attention Mixed Link Network for Single Image Super Resolution
Triple Attention Mixed Link Network for Single Image Super Resolution
Xi Cheng
Xiang Li
Jian Yang
SupR
19
9
0
08 Oct 2018
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image
  Segmentation
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Fabian Isensee
Jens Petersen
André Klein
David Zimmerer
Paul F. Jaeger
...
Jakob Wasserthal
Gregor Koehler
T. Norajitra
Sebastian J. Wirkert
Klaus H. Maier-Hein
SSeg
29
772
0
27 Sep 2018
No New-Net
No New-Net
Fabian Isensee
Philipp Kickingereder
Wolfgang Wick
Martin Bendszus
Klaus H. Maier-Hein
SSeg
28
394
0
27 Sep 2018
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