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Combining Fully Convolutional and Recurrent Neural Networks for 3D
  Biomedical Image Segmentation

Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation

5 September 2016
Jianxu Chen
Ling Yang
Yizhe Zhang
M. Alber
Danny Chen
ArXivPDFHTML

Papers citing "Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation"

49 / 49 papers shown
Title
Geometric Framework for Cell Oversegmentation
Geometric Framework for Cell Oversegmentation
Peter Chen
Bryan Chang
Olivia Annette Creasey
Julie Beth Sneddon
Zev Gartner
Yining Liu
41
0
0
03 Feb 2025
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation
  on non-contrast head CT: The INSTANCE challenge
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge
Xiangyu Li
Gongning Luo
Kuanquan Wang
Hongyu Wang
Jun Liu
...
Moona Mazher
Abdul Qayyum
Valeriia Abramova
Xavier Llado
Shuo Li
53
28
0
09 Jan 2023
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly
  Detection
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection
Peng-Fei Xing
Yanpeng Sun
Zechao Li
32
12
0
26 Sep 2022
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy
A. Ziabari
Derek C. Rose
A. Shirinifard
D. Solecki
21
2
0
13 Jul 2022
Complete identification of complex salt geometries from inaccurate
  migrated subsurface offset gathers using deep learning
Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning
Ana Paula O. Muller
J. Costa
C. Bom
E. Faria
Matheus Klatt
G. Teixeira
M. P. de Albuquerque
M. P. de Albuquerque
25
10
0
20 Apr 2022
A Topology-Attention ConvLSTM Network and Its Application to EM Images
A Topology-Attention ConvLSTM Network and Its Application to EM Images
Jiaqi Yang
Xiaoling Hu
Chao Chen
Chialing Tsai
3DPC
MedIm
22
3
0
07 Feb 2022
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
55
83
0
19 Aug 2021
UNETR: Transformers for 3D Medical Image Segmentation
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
95
1,538
0
18 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
Capturing implicit hierarchical structure in 3D biomedical images with
  self-supervised hyperbolic representations
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations
Joy Hsu
Jeffrey Gu
Gong-Her Wu
Wah Chiu
Serena Yeung
SSL
36
27
0
03 Dec 2020
Bridging 2D and 3D Segmentation Networks for Computation Efficient
  Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions
Yichi Zhang
Qingcheng Liao
Leiting Ding
Jicong Zhang
3DV
26
81
0
13 Oct 2020
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
Shunjie Dong
Jinlong Zhao
Maojun Zhang
Zhengxue Shi
Jianing Deng
Yiyu Shi
Mei Tian
Cheng Zhuo
28
20
0
13 Jul 2020
LORCK: Learnable Object-Resembling Convolution Kernels
LORCK: Learnable Object-Resembling Convolution Kernels
E. Lazareva
Oleg Y. Rogov
O. Shegaǐ
D. Larionov
Dmitry V. Dylov
30
4
0
09 Jul 2020
Stable and expressive recurrent vision models
Stable and expressive recurrent vision models
Drew Linsley
A. Ashok
L. Govindarajan
Rex G Liu
Thomas Serre
19
45
0
22 May 2020
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation
N. Gessert
M. Bengs
Julia Kruger
R. Opfer
A. Ostwaldt
Praveena Manogaran
S. Schippling
Alexander Schlaefer
MedIm
4
13
0
20 Apr 2020
On the Texture Bias for Few-Shot CNN Segmentation
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
27
70
0
09 Mar 2020
A Two-step-training Deep Learning Framework for Real-time Computational
  Imaging without Physics Priors
A Two-step-training Deep Learning Framework for Real-time Computational Imaging without Physics Priors
Ruibo Shang
Kevin Hoffer-Hawlik
Geoffrey P. Luke
25
14
0
10 Jan 2020
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
24
218
0
06 Nov 2019
Machine Vision Guided 3D Medical Image Compression for Efficient
  Transmission and Accurate Segmentation in the Clouds
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
Zihao Liu
Xiaowei Xu
Tao Liu
Qi Liu
Yanzhi Wang
Yiyu Shi
Wujie Wen
Meiping Huang
Haiyun Yuan
Jian Zhuang
15
33
0
09 Apr 2019
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas
  Segmentation
A Model-Driven Stack-Based Fully Convolutional Network for Pancreas Segmentation
Hao Li
Jun Yu Li
Xiaozhu Lin
Xiaohua Qian
30
10
0
03 Mar 2019
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by
  Learning 4D Longitudinal Patient Data
Spatio-Temporal Convolutional LSTMs for Tumor Growth Prediction by Learning 4D Longitudinal Patient Data
Ling Zhang
Le Lu
Xiaosong Wang
Robert Zhu
M. Bagheri
Ronald M. Summers
Jianhua Yao
19
34
0
23 Feb 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Hao Zheng
Yizhe Zhang
Lin Yang
Peixian Liang
Zhuo Zhao
Chaoli Wang
Danny Chen
3DV
31
75
0
10 Dec 2018
Joint Vertebrae Identification and Localization in Spinal CT Images by
  Combining Short- and Long-Range Contextual Information
Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information
Haofu Liao
A. Mesfin
Jiebo Luo
30
85
0
09 Dec 2018
Elastic Boundary Projection for 3D Medical Image Segmentation
Elastic Boundary Projection for 3D Medical Image Segmentation
Tianwei Ni
Lingxi Xie
Huangjie Zheng
Elliot K. Fishman
Alan Yuille
27
34
0
03 Dec 2018
Robust neural circuit reconstruction from serial electron microscopy
  with convolutional recurrent networks
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks
Drew Linsley
Junkyung Kim
D. Berson
Thomas Serre
3DV
30
17
0
28 Nov 2018
A Generative Adversarial Model for Right Ventricle Segmentation
A Generative Adversarial Model for Right Ventricle Segmentation
N. Savioli
M. Vieira
P. Lamata
Giovanni Montana
GAN
MedIm
21
7
0
27 Sep 2018
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation
Mehmet Aygün
Y. Sahin
Gözde B. Ünal
MedIm
24
21
0
17 Sep 2018
Automated segmentation on the entire cardiac cycle using a deep learning
  work-flow
Automated segmentation on the entire cardiac cycle using a deep learning work-flow
N. Savioli
M. Vieira
P. Lamata
Giovanni Montana
13
24
0
31 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better
  Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
X. Lin
AAML
21
160
0
05 Aug 2018
Recurrent neural networks for aortic image sequence segmentation with
  sparse annotations
Recurrent neural networks for aortic image sequence segmentation with sparse annotations
Wenjia Bai
Hideaki Suzuki
C. Qin
G. Tarroni
Ozan Oktay
Paul M. Matthews
Daniel Rueckert
MedIm
34
112
0
01 Aug 2018
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes
  Only Annotation
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation
Ling Yang
Yizhe Zhang
Zhuo Zhao
Hao Zheng
Peixian Liang
M. Ying
A. Ahuja
Danny Chen
24
31
0
02 Jun 2018
Microscopy Cell Segmentation via Convolutional LSTM Networks
Microscopy Cell Segmentation via Convolutional LSTM Networks
Assaf Arbelle
Tammy Riklin-Raviv
42
73
0
29 May 2018
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI
Zhiwen Fan
Liyan Sun
Xinghao Ding
Yue Huang
C. Cai
John Paisley
MedIm
30
27
0
04 Apr 2018
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid
  Flow
Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow
S. Wiewel
M. Becher
N. Thürey
AI4CE
26
273
0
27 Feb 2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities
  Segmentation in MR Images
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
Hongwei Bran Li
Gongfa Jiang
Jianguo Zhang
Ruixuan Wang
Zhaolei Wang
Weishi Zheng
Bjoern H. Menze
34
194
0
14 Feb 2018
A New Registration Approach for Dynamic Analysis of Calcium Signals in
  Organs
A New Registration Approach for Dynamic Analysis of Calcium Signals in Organs
Peixian Liang
Jianxu Chen
Pavel A. Brodskiy
Qinfeng Wu
Yejia Zhang
Yizhe Zhang
Ling Yang
J. Zartman
Danny Chen
81
6
0
01 Feb 2018
Learning to Segment Moving Objects
Learning to Segment Moving Objects
P. Tokmakov
Cordelia Schmid
Alahari Karteek
VOS
36
97
0
01 Dec 2017
PSIque: Next Sequence Prediction of Satellite Images using a
  Convolutional Sequence-to-Sequence Network
PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network
Seungkyun Hong
Seongchan Kim
M. Joh
Sa-kwang Song
38
24
0
29 Nov 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence
  Learning
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He
Shaobing Gao
Liang Xiao
Daxue Liu
Hangen He
David Barber
AIMat
37
64
0
05 Nov 2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent
  Neural Contextual Learning and Direct Loss Function
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function
Jinzheng Cai
Le Lu
Yuanpu Xie
Fuyong Xing
Ling Yang
MedIm
SSeg
35
132
0
16 Jul 2017
Morphological Error Detection in 3D Segmentations
Morphological Error Detection in 3D Segmentations
David Rolnick
Yaron Meirovitch
T. Parag
Hanspeter Pfister
Viren Jain
J. Lichtman
E. Boyden
Nir Shavit
3DPC
3DH
19
26
0
30 May 2017
Extracting 3D Vascular Structures from Microscopy Images using
  Convolutional Recurrent Networks
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates
B. Irving
B. Markelc
Jakob Kaeppler
R. Muschel
Vicente Grau
Julia A. Schnabel
MedIm
25
20
0
26 May 2017
Multi-stage Multi-recursive-input Fully Convolutional Networks for
  Neuronal Boundary Detection
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
Wei Shen
Bin Wang
Yuan Jiang
Yan Wang
Alan Yuille
22
62
0
24 Mar 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
340
10,633
0
19 Feb 2017
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou
Lingxi Xie
Wei Shen
Yan Wang
Elliot K. Fishman
Alan Yuille
MedIm
41
36
0
25 Dec 2016
FusionNet: A deep fully residual convolutional neural network for image
  segmentation in connectomics
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics
Tran Minh Quan
David Grant Colburn Hildebrand
W. Jeong
24
236
0
16 Dec 2016
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Automatic Lymphocyte Detection in H&E Images with Deep Neural Networks
Jianxu Chen
C. Srinivas
37
31
0
09 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,916
0
13 Jun 2015
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