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CompNet: Complementary Segmentation Network for Brain MRI Extraction
v1v2 (latest)

CompNet: Complementary Segmentation Network for Brain MRI Extraction

27 March 2018
Raunak Dey
Yi Hong
ArXiv (abs)PDFHTML

Papers citing "CompNet: Complementary Segmentation Network for Brain MRI Extraction"

16 / 16 papers shown
Title
Enhancing Hierarchical Transformers for Whole Brain Segmentation with
  Intracranial Measurements Integration
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration
Xin Yu
Yucheng Tang
Qi Yang
Ho Hin Lee
Shunxing Bao
Yuankai Huo
Bennett A. Landman
142
1
0
08 Sep 2023
Does Medical Imaging learn different Convolution Filters?
Does Medical Imaging learn different Convolution Filters?
Paul Gavrikov
J. Keuper
VLMOOD
33
2
0
25 Oct 2022
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain
  Extraction
EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction
Jong Sung Park
S. Fadnavis
Eleftherios Garyfallidis
70
0
0
06 Jun 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional
  Filters
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
Paul Gavrikov
J. Keuper
AAML
100
31
0
29 Mar 2022
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an
  Adversarial-based Selective Cutting Network
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network
Raunak Dey
Wenbo Sun
Haibo Xu
Yi Hong
43
0
0
16 Dec 2021
An End-to-End learnable Flow Regularized Model for Brain Tumor
  Segmentation
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation
Yan Shen
Zhanghexuan Ji
Mingchen Gao
MedIm
32
0
0
01 Sep 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 orientations
Ayman Al-Kababji
F. Bensaali
S. Dakua
Yassine Himeur
68
23
0
10 Mar 2021
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly
  Segmentation
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
Raunak Dey
Yi Hong
47
19
0
05 Mar 2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation
Yuan Liang
Weinan Song
Jiawei Yang
Liang Qiu
Kun Wang
Lei He
MedIm
37
3
0
02 Feb 2021
Semi-supervised Pathology Segmentation with Disentangled Representations
Semi-supervised Pathology Segmentation with Disentangled Representations
Haochuan Jiang
A. Chartsias
Xinheng Zhang
G. Papanastasiou
S. Semple
M. Dweck
David Semple
R. Dharmakumar
Sotirios A. Tsaftaris
68
5
0
05 Sep 2020
CompareNet: Anatomical Segmentation Network with Deep Non-local Label
  Fusion
CompareNet: Anatomical Segmentation Network with Deep Non-local Label Fusion
Yuan Liang
Weinan Song
J. Dym
Kun Wang
Lei He
3DPC
38
6
0
10 Oct 2019
Hybrid Cascaded Neural Network for Liver Lesion Segmentation
Hybrid Cascaded Neural Network for Liver Lesion Segmentation
Raunak Dey
Yi Hong
55
23
0
11 Sep 2019
One-pass Multi-task Networks with Cross-task Guided Attention for Brain
  Tumor Segmentation
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation
Chenhong Zhou
Changxing Ding
Xinchao Wang
Zhentai Lu
Dacheng Tao
77
168
0
05 Jun 2019
3D Whole Brain Segmentation using Spatially Localized Atlas Network
  Tiles
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Yuankai Huo
Zhoubing Xu
Yunxi Xiong
Katherine Aboud
P. Parvathaneni
Shunxing Bao
Camilo Bermudez
Susan M. Resnick
L. Cutting
Bennett A. Landman
93
251
0
28 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
108
201
0
15 Feb 2019
Automated brain extraction of multi-sequence MRI using artificial neural
  networks
Automated brain extraction of multi-sequence MRI using artificial neural networks
Fabian Isensee
Marianne Schell
I. Tursunova
G. Brugnara
D. Bonekamp
...
S. Heiland
Wolfgang Wick
Martin Bendszus
Klaus Hermann Maier-Hein
Philipp Kickingereder
96
497
0
31 Jan 2019
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