Kia S Machine Learning in Clinical Neuroimaging and Radiogenomics 2021
General:
Name: Kia S Machine Learning in Clinical Neuroimaging and Radiogenomics 2021
Format: pdf
Size: 51.15 MB
Book:
Title: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology
Author: Seyed Mostafa Kia
Language: angielski
Year: 2020
Subjects: Computers, Science & Technology, Engineering, Technology, Computer Graphics & Design, Computer Programming, Artificial Intelligence (AI), Mechanical Engineering & Dynamics, Robotics & Artificial Intelligence, Computer Graphics – General & Miscellaneous, Graphics Programming, Robotics & Computer Vision
Publisher: Springer-Verlag New York, LLC
ISBN: 9783030668433
Total pages: 319
Description:
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.* For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.
For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.
*The workshops were held virtually due to the COVID-19 pandemic.
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