John S. H. Baxter (ed.); Islem Rekik (ed.); Roy Eagleson (ed.); Luping Zhou (ed.); Tanveer Syeda-Mahmood (ed.); Hongz Wang Springer (2022) Pehmeäkantinen kirja
Tanveer Syeda-Mahmood; Klaus Drechsler; Hayit Greenspan; Anant Madabhushi; Alexandros Karargyris; Marius George Linguraru Springer Nature Switzerland AG (2020) Pehmeäkantinen kirja
Richard Boyle; Bahram Parvin; Darko Koracin; Nikos Paragios; Syeda-Mahmood Tanveer; Tao Ju; Zicheng Liu; Sabi Coquillart Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007) Pehmeäkantinen kirja
Richard Boyle; Bahram Parvin; Darko Koracin; Nikos Paragios; Syeda-Mahmood Tanveer; Tao Ju; Zicheng Liu; Sabi Coquillart Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007) Pehmeäkantinen kirja
Henning Müller; Tanveer Syeda-Mahmood; James Duncan; Fei Wang; Jayashree Kalpathy-Cramer Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.
The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.
