PDF hosted at the Radboud Repository of the Radboud University Nijmegen The following full text is a publisher's version. For additional information about this publication click this link. http://hdl.handle.net/2066/206297 Please be advised that this information was generated on 2021-10-08 and may be subject to change. M. U. DALMIŞ U. M. INVITATION AUTOMATED ANALYSIS to attend the public defense of my PhD thesis AUTOMATED ANALYSIS OF BREAST MRI BREAST OF ANALYSIS AUTOMATED OF BREAST MRI FROM TRADITIONAL METHODS AUTOMATED ANALYSIS INTO DEEP LEARNING OF BREAST MRI FROM TRADITIONAL METHODS INTO DEEP LEARNING Thursday 12 September 2019, at 12.30 in the Aula of the Radboud University, Comeniuslaan 2, 6525 HP Nijmegen. You are cordially invited to the reception after the defense ceremony PARANYMPHS FROM TRADITIONAL METHODS INTO DEEP LEARNING DEEP INTO METHODS TRADITIONAL FROM Jan-Jurre Mordang
[email protected] Jules Jacobs
[email protected] MEHMET UFUK DALMIŞ
[email protected] MEHMET UFUK DALMIŞ Automated Analysis of Breast MRI: from Traditional Methods into Deep Learning Mehmet Ufuk Dalmı¸s This book was typeset by the author using LATEX2". Book by: Mehmet Ufuk Dalmı¸s Cover design by: Wendy Schoneveld & Mehmet Ufuk Dalmı¸s The research described in this thesis was carried out at the Diagnostic Image Analysis Group, Radboud University Medical Center (Nijmegen, the Netherlands). This work was supported by the European Union's Seventh Framework Programme for research, technological development and demonstration (grant agreement no. 601040). Financial support for publication of this thesis was kindly provided by Radboud Uni- versity Medical Center.