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Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin

Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin

24 October 2016
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
Jiri Obels
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
    MedIm
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Papers citing "Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin"

11 / 11 papers shown
Title
Trusted Multi-Scale Classification Framework for Whole Slide Image
Trusted Multi-Scale Classification Framework for Whole Slide Image
Ming Feng
Kele Xu
Na Wu
Weiquan Huang
Yan Bai
Changjian Wang
Huaimin Wang
37
5
0
12 Jul 2022
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images:
  Techniques and Clinical Applications
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications
Yang Ma
Chaoyi Zhang
Mariano Cabezas
Yang Song
Zihao Tang
Dongnan Liu
Weidong (Tom) Cai
M. Barnett
Chenyu Wang
21
35
0
20 Apr 2021
Detecting Scatteredly-Distributed, Small, andCritically Important
  Objects in 3D OncologyImaging via Decision Stratification
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification
Zhuotun Zhu
K. Yan
D. Jin
Jinzheng Cai
T. Ho
...
Chun-Hung Chao
X. Ye
Jing Xiao
Alan Yuille
Le Lu
17
10
0
27 May 2020
Automated Lesion Detection by Regressing Intensity-Based Distance with a
  Neural Network
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
K. V. Wijnen
Florian Dubost
P. Yilmaz
M. Ikram
W. Niessen
H. Adams
Meike W. Vernooij
Marleen de Bruijne
MedIm
19
17
0
29 Jul 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
23
200
0
15 Feb 2019
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles
  Segmentation in Brain MR
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR
Mohsen Ghafoorian
Jonas Teuwen
R. Manniesing
F.‐E. Leeuw
Bram van Ginneken
N. Karssemeijer
B. Platel
26
17
0
15 Jan 2018
High Efficient Reconstruction of Single-shot T2 Mapping from
  OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
High Efficient Reconstruction of Single-shot T2 Mapping from OverLapping-Echo Detachment Planar Imaging Based on Deep Residual Network
C. Cai
Yiqing Zeng
Chao Wang
S. Cai
Jun Zhang
Zhong Chen
Xinghao Ding
J. Zhong
16
1
0
17 Aug 2017
Adversarial training and dilated convolutions for brain MRI segmentation
Adversarial training and dilated convolutions for brain MRI segmentation
P. Moeskops
M. Veta
Maxime W. Lafarge
K. Eppenhof
J. Pluim
MedIm
GAN
22
132
0
11 Jul 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
31
161
0
10 May 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
292
10,618
0
19 Feb 2017
Location Sensitive Deep Convolutional Neural Networks for Segmentation
  of White Matter Hyperintensities
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
I. V. Uden
C. I. Sánchez
G. Litjens
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
SSeg
11
236
0
16 Oct 2016
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