Titlebook: Machine Learning in Medical Imaging; 8th International Wo Qian Wang,Yinghuan Shi,Kenji Suzuki Conference proceedings 2017 Springer Internat

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Efficient Groupwise Registration for Brain MRI by Fast Initialization,alysis. However, it is generally computationally expensive for performing groupwise registration on a large set of images. To alleviate this issue, we propose to utilize a fast initialization technique for speeding up the groupwise registration. Our main idea is to generate a set of simulated brain

NIP

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis,iew task-centralized (Sparse-MVTC) classification method for computer-assisted diagnosis of ASD. In particular, since ASD is known to be age- and sex-related, we partition all subjects into different groups of age/sex, each of which can be treated as a classification task to learn. Meanwhile, we ext

FATAL

Dakai Jin,Ziyue Xu,Adam P. Harrison,Kevin George,Daniel J. Molluraiences, it seeks to broaden the application of LCCA, which is often limited to specific phases of the life-cycle with little or no weight given to environmental aspects..The aim of the book is to mainstream LCC978-3-319-06286-0978-3-319-06287-7Series ISSN 2191-5547 Series E-ISSN 2191-5555

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Marie Bieth,Esther Alberts,Markus Schwaiger,Bjoern Menze

Immunization

Sylvester Chiang,Sharmila Balasingham,Lara Richmond,Belinda Curpen,Mia Skarpathiotakis,Anne Martel

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Boris Kodner,Shiri Gordon,Jacob Goldberger,Tammy Riklin Raviv

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Iniquitous

Jorge Samper-González,Ninon Burgos,Sabrina Fontanella,Hugo Bertin,Marie-Odile Habert,Stanley Durrlem

Traumatic-Grief

Darko Štern,Philipp Kainz,Christian Payer,Martin Urschler