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  4. Cited By
Automatic detection of lesion load change in Multiple Sclerosis using
  convolutional neural networks with segmentation confidence

Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence

5 April 2019
Richard McKinley
L. Grunder
Rik Wepfer
F. Aschwanden
Tim Fischer
C. Friedli
Raphaela Muri
C. Rummel
R. Verma
C. Weisstanner
M. Reyes
A. Salmen
A. Chan
Roland Wiest
F. Wagner
ArXivPDFHTML

Papers citing "Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence"

13 / 13 papers shown
Title
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales:
  Analysis in White Matter Lesion Segmentation
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation
Nataliia Molchanova
Vatsal Raina
A. Malinin
Francesco La Rosa
Adrien Depeursinge
Mark Gales
Cristina Granziera
Henning Muller
Mara Graziani
Meritxell Bach Cuadra
43
4
0
15 Nov 2023
A Bibliography of Multiple Sclerosis Lesions Detection Methods using
  Brain MRIs
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs
A. Shah
Maged S. Al-Shaibani
Moataz Ahmad
R. Bunyan
27
2
0
19 Feb 2023
Novel structural-scale uncertainty measures and error retention curves:
  application to multiple sclerosis
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
Nataliia Molchanova
Vatsal Raina
A. Malinin
Francesco La Rosa
Henning Muller
Mark Gales
Cristina Granziera
Mara Graziani
Meritxell Bach Cuadra
35
8
0
09 Nov 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
34
81
0
05 Oct 2022
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion
  Segmentation
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation
Stefano Cerri
Douglas N. Greve
Andrew Hoopes
H. Lundell
H. Siebner
Mark Muhlau
Koen van Leemput
13
17
0
10 Jul 2022
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated
  Learning
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
Dongnan Liu
Mariano Cabezas
Dongang Wang
Zihao Tang
Lei Bai
...
Fernando Calamante
Michael Barnett
Wanli Ouyang
Weidong (Tom) Cai
Chenyu Wang
FedML
29
4
0
03 May 2022
Self-supervised Lesion Change Detection and Localisation in Longitudinal
  Multiple Sclerosis Brain Imaging
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging
Minh-Son To
Ian G Sarno
Chee Chong
M. Jenkinson
G. Carneiro
MedIm
36
7
0
02 Jun 2021
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
46
125
0
11 May 2021
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
Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR
  Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy
  Patients
Latent Space Analysis of VAE and Intro-VAE applied to 3-dimensional MR Brain Volumes of Multiple Sclerosis, Leukoencephalopathy, and Healthy Patients
Christopher Vogelsanger
C. Federau
26
3
0
17 Jan 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
30
14
0
12 Dec 2020
A Longitudinal Method for Simultaneous Whole-Brain and Lesion
  Segmentation in Multiple Sclerosis
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis
Stefano Cerri
Andrew Hoopes
Douglas N. Greve
Mark Muhlau
Koen van Leemput
18
11
0
12 Aug 2020
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis
  using deep neural networks
Simultaneous lesion and neuroanatomy segmentation in Multiple Sclerosis using deep neural networks
Richard McKinley
Rik Wepfer
F. Aschwanden
L. Grunder
Raphaela Muri
...
M. Reyes
A. Salmen
A. Chan
F. Wagner
Roland Wiest
24
15
0
22 Jan 2019
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