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Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully
  Convolutional Neural Networks and 3D Conditional Random Fields

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016
7 October 2016
P. Christ
M. Elshaer
Florian Ettlinger
S. Tatavarty
Marc Bickel
Patrick Bilic
Markus Rempfler
M. Armbruster
Felix O. Hofmann
M. D’Anastasi
Wieland H. Sommer
Seyed-Ahmad Ahmadi
Bjoern Menze
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields"

50 / 125 papers shown
Title
A Reverse Mamba Attention Network for Pathological Liver Segmentation
A Reverse Mamba Attention Network for Pathological Liver Segmentation
Jun Zeng
Debesh Jha
Ertugrul Aktas
Elif Keles
Alpay Medetalibeyoglu
...
Robert Lewandowski
Daniela Ladner
Amir Borhani
Gorkem Durak
Ulas Bagci
Mamba
200
2
0
23 Feb 2025
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for
  Medical Image Segmentation
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation
Xiaogang Du
Dongxin Gu
Tao Lei
Yipeng Jiao
Yibin Zou
MedIm
107
1
0
19 Sep 2024
AI Radiologist: Revolutionizing Liver Tissue Segmentation with
  Convolutional Neural Networks and a Clinician-Friendly GUI
AI Radiologist: Revolutionizing Liver Tissue Segmentation with Convolutional Neural Networks and a Clinician-Friendly GUI
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
MedIm
108
0
0
11 Jun 2024
Support-Query Prototype Fusion Network for Few-shot Medical Image
  Segmentation
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation
Sissi Xiaoxiao Wu
Zhenguo Gao
Xiaowei Chen
Yakai Wang
Shulei Qu
Na Li
OOD
196
1
0
13 May 2024
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
CT Liver Segmentation via PVT-based Encoding and Refined Decoding
Debesh Jha
Nikhil Kumar Tomar
Koushik Biswas
Gorkem Durak
Alpay Medetalibeyoglu
M. Antalek
Yury Velichko
Daniela Ladner
Amir Borhani
Ulas Bagci
ViTMedIm
110
15
0
17 Jan 2024
INCEPTNET: Precise And Early Disease Detection Application For Medical
  Images Analyses
INCEPTNET: Precise And Early Disease Detection Application For Medical Images Analyses
Amirhossein Sajedi
Mohammad Javad Fadaeieslam
73
0
0
05 Sep 2023
A Cascaded Approach for ultraly High Performance Lesion Detection and
  False Positive Removal in Liver CT Scans
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans
Fakai Wang
Chi-Tung Cheng
Chien-Wei Peng
K. Yan
Min Wu
Le Lu
Chien-Hung Liao
Ling Zhang
MedIm
107
6
0
28 Jun 2023
Ensemble Methods for Multi-Organ Segmentation in CT Series
Ensemble Methods for Multi-Organ Segmentation in CT Series
L. Crespi
P. Roncaglioni
D. Dei
C. Franzese
N. Lambri
Daniele Loiacono
P. Mancosu
M. Scorsetti
55
0
0
31 Mar 2023
Towards more precise automatic analysis: a comprehensive survey of deep
  learning-based multi-organ segmentation
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Jiayue Zhao
Yonghong Shi
Zhijian Song
181
8
0
01 Mar 2023
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from
  Dynamic Perfusion Scans using Time Separation Technique
Liver Segmentation in Time-resolved C-arm CT Volumes Reconstructed from Dynamic Perfusion Scans using Time Separation TechniqueInternational Conference on Image Processing, Applications and Systems (ICIPAS), 2022
S. Chatterjee
Hana Haseljić
R. Frysch
V. Kulvait
V. Semshchikov
...
Inga Brüsch
T. Werncke
Oliver Speck
A. Nürnberger
G. Rose
82
0
0
09 Feb 2023
Robust One-shot Segmentation of Brain Tissues via Image-aligned Style
  Transformation
Robust One-shot Segmentation of Brain Tissues via Image-aligned Style TransformationAAAI Conference on Artificial Intelligence (AAAI), 2022
Jinxin Lv
Xiaoyu Zeng
Sheng Wang
Ran Duan
Zhiwei Wang
Qiang Li
130
3
0
26 Nov 2022
A comparative study of source-finding techniques in HI emission line
  cubes using SoFiA, MTObjects, and supervised deep learning
A comparative study of source-finding techniques in HI emission line cubes using SoFiA, MTObjects, and supervised deep learning
J. Barkai
M. Verheijen
Estefania Talavera Martinez
M. Wilkinson
51
0
0
23 Nov 2022
Harmonizing output imbalance for defect segmentation on
  extremely-imbalanced photovoltaic module cells images
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images
Jianye Yi
Xiaopin Zhong
Weixiang Liu
Zongze Wu
Yuanlong Deng
Zhengguang Wu
142
0
0
10 Nov 2022
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm
  Perfusion Imaging
Liver Segmentation using Turbolift Learning for CT and Cone-beam C-arm Perfusion Imaging
Hana Haseljić
S. Chatterjee
R. Frysch
V. Kulvait
V. Semshchikov
...
Inga Brüsch
T. Werncke
Oliver Speck
A. Nürnberger
G. Rose
OOD
136
2
0
20 Jul 2022
HMRNet: High and Multi-Resolution Network with Bidirectional Feature
  Calibration for Brain Structure Segmentation in Radiotherapy
HMRNet: High and Multi-Resolution Network with Bidirectional Feature Calibration for Brain Structure Segmentation in RadiotherapyIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Hao Xu
Guotai Wang
Wenhui Lei
Wei Xu
Qianfei Zhao
Shichuan Zhang
Kang Li
Shaoting Zhang
74
18
0
07 Jun 2022
FedNorm: Modality-Based Normalization in Federated Learning for
  Multi-Modal Liver Segmentation
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation
Tobias Bernecker
Annette Peters
C. Schlett
F. Bamberg
Fabian J. Theis
Daniel Rueckert
J. Weiss
Shadi Albarqouni
FedMLMedIm
152
23
0
23 May 2022
A novel shape-based loss function for machine learning-based seminal
  organ segmentation in medical imaging
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging
Reza Karimzadeh
E. Fatemizadeh
H. Arabi
MedIm
57
21
0
07 Mar 2022
An overview of deep learning in medical imaging
An overview of deep learning in medical imaging
I. Haq
VLM
90
5
0
17 Feb 2022
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs
  OneCycleLR
Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR
Ayman Al-Kababji
F. Bensaali
S. Dakua
102
57
0
13 Feb 2022
Recurrent Feature Propagation and Edge Skip-Connections for Automatic
  Abdominal Organ Segmentation
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ SegmentationExpert systems with applications (ESWA), 2022
Zefan Yang
Di Lin
Dong Ni
Yi Wang
MedIm
150
8
0
02 Jan 2022
Robust End-to-End Focal Liver Lesion Detection using Unregistered
  Multiphase Computed Tomography Images
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images
Sang-gil Lee
Eunji Kim
J. S. Bae
J. H. Kim
Sungroh Yoon
OOD
112
11
0
02 Dec 2021
Automatic Semantic Segmentation of the Lumbar Spine: Clinical
  Applicability in a Multi-parametric and Multi-centre Study on Magnetic
  Resonance Images
Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images
J. J. Sáenz-Gamboa
J. Domenech
Antonio Alonso-Manjarrés
Jon A. Gómez
Human Language Technology research center - Universitat Valencia
116
0
0
16 Nov 2021
Efficient Medical Image Segmentation Based on Knowledge Distillation
Efficient Medical Image Segmentation Based on Knowledge DistillationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Dian Qin
Jiajun Bu
Zhe Liu
Xin Shen
Sheng Zhou
Jingjun Gu
Zhihong Wang
Lei Wu
Hui-Fen Dai
104
144
0
23 Aug 2021
Detecting and Segmenting Adversarial Graphics Patterns from Images
Detecting and Segmenting Adversarial Graphics Patterns from Images
Xiangyu Qu
Stanley H. Chan
AAML
106
0
0
20 Aug 2021
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor
  Segmentation
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Ziyuan Zhao
Zeyu Ma
Yanjie Liu
Zeng Zeng
P. Chow
108
9
0
15 Aug 2021
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and
  Uncertain Region Inpainting
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
Yue Zhang
Chengtao Peng
Liying Peng
Huimin Huang
Ruofeng Tong
...
Jingsong Li
Yenwei Chen
Qingqing Chen
Hongjie Hu
Zhiyi Peng
148
33
0
02 Aug 2021
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image
  Segmentation
Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation
H. Zunair
A. Ben Hamza
SSegMDE
80
275
0
26 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A surveyArtificial Intelligence Review (AIR), 2021
Narinder Singh Punn
Sonali Agarwal
SSeg
198
173
0
09 Jul 2021
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT
  images
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT imagesCSRN (CSRN), 2021
N. Zettler
André Mastmeyer
SSeg
138
25
0
08 Jul 2021
Cooperative Training and Latent Space Data Augmentation for Robust
  Medical Image Segmentation
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Chen Chen
Kerstin Hammernik
Cheng Ouyang
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
102
23
0
02 Jul 2021
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal
  CT Images
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images
Liping Zhang
S. Yu
62
3
0
21 Jun 2021
DINs: Deep Interactive Networks for Neurofibroma Segmentation in
  Neurofibromatosis Type 1 on Whole-Body MRI
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRIIEEE journal of biomedical and health informatics (JBHI), 2021
Jian-Wei Zhang
Wei Chen
K. I. Ly
Xubin Zhang
Fan Yan
J. Jordan
G. Harris
S. Plotkin
Pengyi Hao
W. Cai
87
9
0
07 Jun 2021
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver
  Segmentation
Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
Muhammad Islam
Kaleem Nawaz Khan
Muhammad Salman Khan
73
13
0
26 Mar 2021
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid
  pooling based residual U-Net for automatic liver segmentation in Computed
  Tomography
SAR-U-Net: squeeze-and-excitation block and atrous spatial pyramid pooling based residual U-Net for automatic liver segmentation in Computed Tomography
Jinke Wang
Peiqing Lv
Haiying Wang
Changfa Shi
SSeg
156
128
0
11 Mar 2021
Automated liver tissues delineation techniques: A systematic survey on
  machine learning current trends and future orientations
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientationsEngineering applications of artificial intelligence (EAAI), 2021
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
130
32
0
10 Mar 2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor
  Segmentation from Multi-phase CT Images
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT ImagesMedical Physics (Lancaster) (Med. Phys.), 2021
Yingying Xu
Ming Cai
Lanfen Lin
Yue Zhang
Hongjie Hu
...
Xiongwei Mao
Yutaro Iwamoto
Xianhua Han
Yenwei Chen
Ruofeng Tong
MedIm
91
44
0
27 Feb 2021
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on
  Shape Priors
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors
Umaseh Sivanesan
Luis H. Braga
R. Sonnadara
Kiret Dhindsa
GANMedIm
61
3
0
04 Feb 2021
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot
  Medical Image Segmentation
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yuhang Ding
Xin Yu
Yi Yang
OOD
118
39
0
03 Feb 2021
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentationIEEE Reviews in Biomedical Engineering (IEEE Rev. Biomed. Eng.), 2021
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
194
51
0
19 Jan 2021
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from
  Brain Electron Microscopy
CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron MicroscopyIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Lu Dong
Shuiwang Ji
96
15
0
12 Jan 2021
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jun Ma
Yao Zhang
Song Gu
Cheng Zhu
Cheng Ge
...
Shangqing Liu
Yunpeng Wang
Yuhui Li
Jian He
Xiaoping Yang
SSegOOD
218
407
0
28 Oct 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A SurveyIET Image Processing (IIP), 2020
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
238
681
0
28 Sep 2020
DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
Lufan Chang
Wenjing Zhuang
Richeng Wu
Sai Feng
Hao Liu
Jing Yu
Jia Ding
Ziteng Wang
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MedImAI4CE
85
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02 Sep 2020
Structurally aware bidirectional unpaired image to image translation
  between CT and MR
Structurally aware bidirectional unpaired image to image translation between CT and MR
Vismay Agrawal
Avinash Kori
V. K. Anand
Ganapathy Krishnamurthi
DiffMMedIm
43
1
0
05 Jun 2020
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient
  CNN for Medical Images Segmentation
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation
Ange Lou
Shuyue Guan
Murray H. Loew
SSeg
124
206
0
31 May 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for
  Medical Image Analysis
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis
Xiaozhen Xie
J. Niu
Xuefeng Liu
Zhengsu Chen
Shaojie Tang
Shui Yu
152
15
0
25 Apr 2020
Volumetric Attention for 3D Medical Image Segmentation and Detection
Volumetric Attention for 3D Medical Image Segmentation and DetectionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Xudong Wang
Shizhong Han
Yunqiang Chen
Dashan Gao
Nuno Vasconcelos
3DPC
153
90
0
04 Apr 2020
Deep Learning in Multi-organ Segmentation
Deep Learning in Multi-organ Segmentation
Y. Lei
Yabo Fu
Tonghe Wang
Richard L. J. Qiu
W. Curran
Tian-xing Liu
Xiaofeng Yang
SSeg
82
33
0
28 Jan 2020
Deep convolutional neural networks for multi-planar lung nodule
  detection: improvement in small nodule identification
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identificationMedical Physics (Lancaster) (Med. Phys.), 2020
S. Zheng
L. Cornelissen
Xiaonan Cui
Xueping Jing
Raymond N. J. Veldhuis
M. Oudkerk
P. V. van Ooijen
MedIm
77
34
0
13 Jan 2020
ModelHub.AI: Dissemination Platform for Deep Learning Models
ModelHub.AI: Dissemination Platform for Deep Learning Models
A. Hosny
M. Schwier
Christoph Berger
Evin Pınar Örnek
Mehmet Turan
...
U. Hoffmann
Bjoern Menze
Spyridon Bakas
Andrey Fedorov
Hugo J. W. L. Aerts
VLM
93
19
0
26 Nov 2019
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