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Automatic segmentation of spinal multiple sclerosis lesions: How to
  generalize across MRI contrasts?
v1v2v3 (latest)

Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?

9 March 2020
Olivier Vincent
C. Gros
Joseph Paul Cohen
Julien Cohen-Adad
ArXiv (abs)PDFHTML

Papers citing "Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?"

3 / 3 papers shown
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
370
152
0
11 May 2021
Impact of individual rater style on deep learning uncertainty in medical
  imaging segmentation
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
Olivier Vincent
C. Gros
Julien Cohen-Adad
192
11
0
05 May 2021
Benefits of Linear Conditioning with Metadata for Image Segmentation
Benefits of Linear Conditioning with Metadata for Image SegmentationInternational Conference on Medical Imaging with Deep Learning (MIDL), 2021
A. Lemay
C. Gros
Olivier Vincent
Yaou Liu
Joseph Paul Cohen
Julien Cohen-Adad
AI4CE
280
6
0
18 Feb 2021
1
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