A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols

19 November 2018

Papers citing "A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols"

3 / 3 papers shown

Title
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 32 125 0 11 May 2021
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation R. A. Kamraoui Vinh-Thong Ta T. Tourdias Boris Mansencal J. V. Manjón Pierrick Coupé OOD 31 50 0 14 Dec 2020
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods H. Zhang I. Oguz 30 14 0 12 Dec 2020