Alejandro F. Frangi; Julia A. Schnabel; Christos Davatzikos; Carlos Alberola-López; Gabor Fichtinger Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
Alejandro F. Frangi; Julia A. Schnabel; Christos Davatzikos; Carlos Alberola-López; Gabor Fichtinger Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
Alejandro F. Frangi; Julia A. Schnabel; Christos Davatzikos; Carlos Alberola-López; Gabor Fichtinger Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
Alejandro F. Frangi; Julia A. Schnabel; Christos Davatzikos; Carlos Alberola-López; Gabor Fichtinger Springer Nature Switzerland AG (2018) Pehmeäkantinen kirja
Alessa Hering; Julia Schnabel; Miaomiao Zhang; Enzo Ferrante; Mattias Heinrich; Daniel Rueckert Springer International Publishing AG (2022) Pehmeäkantinen kirja
Bernhard Kainz (ed.); Alison Noble (ed.); Julia Schnabel (ed.); Bishesh Khanal (ed.); Johanna Paula Müller (ed.); Thom Day Springer (2023) Pehmeäkantinen kirja
Marius George Linguraru; Qi Dou; Aasa Feragen; Stamatia Giannarou; Ben Glocker; Karim Lekadir; Julia A. Schnabel Springer International Publishing AG (2024) Pehmeäkantinen kirja
This book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023.
The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data.
