<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><br class=""><div><br class=""><blockquote type="cite" class=""><div class="">Begin forwarded message:</div><br class="Apple-interchange-newline"><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">From: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">Katrina Turner <<a href="mailto:Katrina.Turner@springernature.com" class="">Katrina.Turner@springernature.com</a>><br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Subject: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class=""><b class="">Call for Papers - JMIV - Mathematical Foundations of Deep Learning in Imaging Science</b><br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Date: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">August 1, 2018 at 4:21:35 PM GMT-3<br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">To: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">"<a href="mailto:pmuse@fing.edu.uy" class="">pmuse@fing.edu.uy</a>" <<a href="mailto:pmuse@fing.edu.uy" class="">pmuse@fing.edu.uy</a>><br class=""></span></div><br class=""><div class=""><div class="WordSection1" style="page: WordSection1; caret-color: rgb(0, 0, 0); font-family: Helvetica; font-size: 12px; font-style: normal; font-variant-caps: normal; font-weight: normal; letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;"><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Dear Researcher:<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">The<span class="Apple-converted-space"> </span><i class="">Journal of Mathematical Imaging and Vision</i><span class="Apple-converted-space"> </span>would like to announce the opportunity to contribute to an upcoming Special Issue on “MATHEMATICAL FOUNDATIONS OF DEEP LEARNING IN IMAGING SCIENCE.”<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Please see below for details.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: center;" class=""><b class=""><span style="font-size: 16pt; font-family: "Times New Roman", serif;" class="">Call for Papers<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: center;" class=""><b class=""><span style="font-size: 14pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: center;" class=""><b class=""><span style="font-size: 14pt; font-family: "Times New Roman", serif;" class="">Special Issue of the Journal of Mathematical Imaging and Vision (JMIV)<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: center;" class=""><b class=""><span style="font-size: 20pt; font-family: "Times New Roman", serif;" class="">Mathematical Foundations of<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif; text-align: center;" class=""><b class=""><span style="font-size: 20pt; font-family: "Times New Roman", serif;" class="">Deep Learning in Imaging Science<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 14pt; font-family: "Times New Roman", serif;" class="">Guest Editors:<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Joan Bruna</span></b><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""> (New York University, USA)<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Eldad Haber</span></b><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""> (University of British Columbia, Vancouver, USA)<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Gitta Kutyniok</span></b><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""> (TU Berlin, Germany)<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Thomas Pock</span></b><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><span class="Apple-converted-space"> </span> (Graz University of Technology, Austria)<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Rene Vidal</span></b><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""> (Johns Hopkins University, Baltimore, USA)<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 14pt; font-family: "Times New Roman", serif;" class="">Topics of Interest<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Deep learning methods have become an omnipresent and highly successful part of recent approaches in imaging and vision. However, in most cases they are used on a purely empirical basis without real understanding of their behavior. From a scientific viewpoint, this is unsatisfying.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Many mathematically inclined researchers have a strong desire to understand the theoretical reasons for the success of these approaches and to find relations between deep learning and mathematically well-established techniques in imaging science. The goal of this special issue is to showcase their latest research results and to promote future research in this direction.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Topics of interest include, but are not limited to:<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: Symbol;" class=""><span class="">·<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">mathematical introspection into the behavior of deep learning methods, e.g. through<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">theoretical insights into their expressive power, quality, stability, and efficiency<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">analysis of their ability to handle the curse of dimensionality investigation of their generalization properties<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">theoretical bounds on their necessary complexity theories for architectural design<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">characterization of their loss surface analysis of optimization algorithms<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">mathematical theories for generative adversarial networks<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: Symbol;" class=""><span class="">·<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">connections between deep learning and successful mathematical concepts in image analysis such as<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">radial basis functions, splines, and harmonic analysis<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">sparsity, compressed sensing, and dictionary learning subspace methods<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">inverse problems, regularization theory, and operator learning variational methods, optimization, and optimal control ordinary and partial differential equations<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">information theory, information geometry, and the physics of information<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: "Courier New";" class=""><span class="">o<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">statistical learning theory<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 1in; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Gaining mathematical insights will be the decisive criterion for inclusion into this special issue. Manuscripts which are primarily experimental are not eligible.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><b class=""><span style="font-size: 14pt; font-family: "Times New Roman", serif;" class="">Deadline and Submission Instructions<o:p class=""></o:p></span></b></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: Symbol;" class=""><span class="">·<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Deadline for submission:<span class="Apple-converted-space"> </span><b class="">November 30, 2018<span class="Apple-converted-space"> </span></b><o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">The printed special issue will appear in 2019. We aim at fast and efficient reviewing, starting immediately after paper submission. Since accepted manuscripts will become available directly as online first articles, earlier submission is helpful and encouraged. If an individual manuscript requires substantially more time than the others, it will be published in a regular JMIV issue.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: Symbol;" class=""><span class="">·<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">The usual JMIV submission guidelines apply. All submissions will be peer reviewed according to the JMIV standards. Manuscripts that extend conference papers must contain at least 30 % novel material. There is no page limit.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: Symbol;" class=""><span class="">·<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Submissions must be uploaded through the regular login site of JMIV:<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><a href="http://www.editorialmanager.com/jmiv/default.aspx" style="color: purple; text-decoration: underline;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">http://www.editorialmanager.com/jmiv/default.aspx</span></a><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt 0.5in; font-size: 11pt; font-family: Calibri, sans-serif; text-indent: -0.25in;" class=""><span style="font-size: 12pt; font-family: Symbol;" class=""><span class="">·<span style="font-style: normal; font-variant-caps: normal; font-weight: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";" class=""> <span class="Apple-converted-space"> </span></span></span></span><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Please make sure to choose the “<b class="">Mathematical Foundations of Deep Learning in Imaging Science</b>” Special Issue after logging in to the JMIV editorial manager. This guarantees that your submission will be assigned to the above guest editors.<o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">Website:<span class="Apple-converted-space"> </span></span><a href="http://www.mia.uni-saarland.de/JMIV/si-deep-learning.html" style="color: purple; text-decoration: underline;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">http://www.mia.uni-saarland.de/JMIV/si-deep-learning.html</span></a><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""></o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class=""><o:p class=""> </o:p></span></div><div style="margin: 0in 0in 0.0001pt; font-size: 11pt; font-family: Calibri, sans-serif;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">More information: Joachim Weickert (</span><a href="mailto:weickert@mia.uni-saarland.de" style="color: purple; text-decoration: underline;" class=""><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">weickert@mia.uni-saarland.de</span></a><span style="font-size: 12pt; font-family: "Times New Roman", serif;" class="">)</span></div></div></div></blockquote></div><br class=""></body></html>