Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1804.03999
Cited By
Attention U-Net: Learning Where to Look for the Pancreas
11 April 2018
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
K. Misawa
K. Mori
Steven G. McDonagh
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Attention U-Net: Learning Where to Look for the Pancreas"
50 / 341 papers shown
Title
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation
Chen Shen
Pochuan Wang
H. Roth
Dong Yang
Daguang Xu
...
C. Fuh
Po-Ting Chen
Kao-Lang Liu
W. Liao
K. Mori
FedML
16
41
0
19 Aug 2021
Medical Image Segmentation with 3D Convolutional Neural Networks: A Survey
S. Niyas
S. Pawan
Anand Kumar
Jeny Rajan
MedIm
41
83
0
19 Aug 2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
Niamh Belton
I. Welaratne
Adil Dahlan
Ron Hearne
Misgina Tsighe Hagos
Aonghus Lawlor
Kathleen M. Curran
11
13
0
18 Aug 2021
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging
Narinder Singh Punn
Sonali Agarwal
32
59
0
05 Aug 2021
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans
Noa Cahan
E. Marom
S. Soffer
Y. Barash
Eli Konen
Eyal Klang
H. Greenspan
40
8
0
26 Jul 2021
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh
Emma Lejeune
AI4CE
28
28
0
24 Jul 2021
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth
Bo Zhou
Chi Liu
James S. Duncan
MedIm
57
18
0
12 Jul 2021
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
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection
P. N. Lan
N. S. An
D. V. Hang
D. Long
T. Trung
N. T. Thuy
D. V. Sang
133
69
0
11 Jul 2021
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images
Zhuangzhuang Zhang
T. Zhao
Hiram Gay
Weixiong Zhang
B. Sun
30
19
0
10 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
32
144
0
09 Jul 2021
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference
Wenting Jiang
Y. Jiang
Lu Zhang
Changmiao Wang
Xiaoguang Han
Shuixing Zhang
Xiang Wan
Shuguang Cui
18
1
0
09 Jul 2021
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation
Taehun Kim
Hyemin Lee
Daijin Kim
EgoV
22
251
0
06 Jul 2021
ResViT: Residual vision transformers for multi-modal medical image synthesis
Onat Dalmaz
Mahmut Yurt
Tolga Çukur
ViT
MedIm
32
338
0
30 Jun 2021
Coherent, super resolved radar beamforming using self-supervised learning
Itai Orr
Moshik Cohen
Harel Damari
M. Halachmi
Z. Zalevsky
33
14
0
21 Jun 2021
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks
Yuanpeng Liu
Qinglei Hui
Zhiyi Peng
S. Gong
D. Kong
11
4
0
29 May 2021
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
572
0
27 May 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Yilmaz Korkmaz
S. Dar
Mahmut Yurt
Muzaffer Özbey
Tolga Çukur
ViT
MedIm
27
190
0
15 May 2021
Attention-Based 3D Seismic Fault Segmentation Training by a Few 2D Slice Labels
Yimin Dou
Kewen Li
Jianbing Zhu
Xiao Li
Yingjie Xi
3DPC
15
35
0
09 May 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
151
283
0
04 May 2021
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
D. V. Sang
Tran Quang Chung
P. N. Lan
D. V. Hang
D. Long
N. T. Thuy
117
21
0
02 May 2021
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy
Yunxiang Li
G. Zeng
Yifan Zhang
Jun Wang
Qianni Zhang
...
Neng Xia
Ruizi Peng
Kai Tang
Yaqi Wang
Shuai Wang
MedIm
AI4CE
92
28
0
02 May 2021
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
Ao Zhang
F. Nowruzi
R. Laganière
31
88
0
02 May 2021
Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities
Tongxue Zhou
S. Canu
P. Vera
S. Ruan
27
141
0
13 Apr 2021
Multi-class motion-based semantic segmentation for ureteroscopy and laser lithotripsy
Soumya Gupta
Sharib Ali
L. Goldsmith
B. Turney
J. Rittscher
50
3
0
02 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin
Jacob F. Wynne
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
35
24
0
25 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
92
1,535
0
18 Mar 2021
Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
Jean LeĆlerc Arrastia
Nick Heilenkötter
Daniel Otero Baguer
Lena Hauberg-Lotte
T. Boskamp
Sonja Hetzer
Nicole Duschner
Jörg Schaller
Peter Maass
6
44
0
05 Mar 2021
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun
Yan Wang
Jieneng Chen
Huiyu Wang
Wei Shen
Qingli Li
ViT
MedIm
18
49
0
05 Mar 2021
Efficient Palm-Line Segmentation with U-Net Context Fusion Module
Toan Pham Van
S. T. Nguyen
Linh Doan Bao
Ngoc N. Tran
Ta Minh Thanh
29
6
0
24 Feb 2021
Glacier Calving Front Segmentation Using Attention U-Net
M. Holzmann
Amirabbas Davari
T. Seehaus
M. Braun
Andreas Maier
Vincent Christlein
6
21
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
Tanvir Mahmud
Md. Jahin Alam
Sakib Chowdhury
Shams Nafisa Ali
Md. Maisoon Rahman
Shaikh Anowarul Fattah
Mohammad Saquib
13
37
0
03 Jan 2021
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
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation
Yutong Cai
Yong Wang
SSeg
18
67
0
20 Dec 2020
OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study
Mingchao Li
Kun Huang
Qiuzhuo Xu
Jiadong Yang
Yuhan Zhang
Zexuan Ji
Keren Xie
Songtao Yuan
Qinghuai Liu
Qiang Chen
18
86
0
14 Dec 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images
Narinder Singh Punn
Sonali Agarwal
32
31
0
13 Dec 2020
Upgraded W-Net with Attention Gates and its Application in Unsupervised 3D Liver Segmentation
Dhanunjaya Mitta
S. Chatterjee
Oliver Speck
A. Nürnberger
SSeg
MedIm
31
5
0
20 Nov 2020
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution
Bo Wang
Lei Wang
Junyang Chen
Zhenghua Xu
Thomas Lukasiewicz
Zhigang Fu
35
7
0
15 Nov 2020
Covariance Self-Attention Dual Path UNet for Rectal Tumor Segmentation
Haijun Gao
Bochuan Zheng
Dazhi Pan
Xiangyin Zeng
22
2
0
04 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
23
1,041
0
02 Nov 2020
A Weakly-Supervised Semantic Segmentation Approach based on the Centroid Loss: Application to Quality Control and Inspection
Kai Yao
A. Ortiz
F. Bonnín-Pascual
27
0
0
26 Oct 2020
ivadomed: A Medical Imaging Deep Learning Toolbox
C. Gros
A. Lemay
Olivier Vincent
Lucas Rouhier
Anthime Bucquet
Joseph Paul Cohen
Julien Cohen-Adad
LM&MA
MedIm
24
15
0
20 Oct 2020
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG
Pritam Sarkar
Ali Etemad
GAN
19
59
0
30 Sep 2020
MPG-Net: Multi-Prediction Guided Network for Segmentation of Retinal Layers in OCT Images
Zeyu Fu
Yang Sun
Xinming Zhang
Scott Stainton
Shaun Barney
J. Hogg
W. Innes
S. Dlay
16
3
0
28 Sep 2020
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
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
SSeg
23
457
0
22 Sep 2020
Learning from Multimodal and Multitemporal Earth Observation Data for Building Damage Mapping
B. Adriano
Naoto Yokoya
J. Xia
H. Miura
Wen Liu
M. Matsuoka
Shunichi Koshimura
31
102
0
14 Sep 2020
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
Lipei Zhang
Aozhi Liu
Jing Xiao
P. Taylor
13
22
0
11 Sep 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
55
624
0
02 Aug 2020
Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Rui Li
Shunyi Zheng
Chenxi Duan
Ce Zhang
18
97
0
01 Aug 2020
Previous
1
2
3
4
5
6
7
Next