BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Edmonton BEGIN:DAYLIGHT DTSTART:20210314T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20201101T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20201124T203201Z UID:AB939432-7128-4D05-9B26-04859A378081 DTSTART;TZID=America/Edmonton:20201124T120000 DTEND;TZID=America/Edmonton:20201124T130000 DESCRIPTION:Magnetic resonance imaging (MRI) is a diagnostic imaging modali ty that provides excellent image contrast that leads to diagnoses of sever al conditions\, such as tumours and strokes. The major drawback of MRI exa ms is their long acquisition time. An MRI exam usually lasts between 30 to 60 minutes per patient. These long acquisition times\, combined with the high costs (~$3\,000\,000) and space requirements to install a scanner and periodic maintenance\, cause MRI exams to be expensive and create wait ti mes that make it less accessible. An MRI exam's average price is over $700 \, and nearly two million MRI exams are done in Canada yearly\, making it a billion-dollar industry.\n\nIn this talk\, Dr. Souza will cover the basi cs of deep learning methods for image reconstruction. He will present a de ep learning model called the W-net that can be used to make MRI exams up t o 20 times faster. Dr. Souza will also briefly illustrate the use of the W -net to improve other imaging applications\, such as JPEG image decompress ion and low-dose computed tomography reconstruction.\n\n------------------ -------------------------------------------------------------------------- ------------------------------------------------------------------------\n \nRoberto Souza is an Assistant Professor at the Electrical and Computer E ngineering Department at the University of Calgary\, Canada\, since July 2 020. He has a B.Sc. in electrical engineering from the Federal University of Pará (2012)\, an M.Sc. (2014) and Ph.D. (2017) both in computer engine ering from the University of Campinas (UNICAMP). Before becoming an Assist ant Professor\, he worked for three years as a postdoctoral scholar at the University of Calgary. He has international experience\, having worked as an intern at the Grenoble Institute of Technology\, France\, and the Univ ersity of Pennsylvania\, United States. Dr. Souza has extensive expertise in image processing and machine learning. His research is currently focuse d on smart strategies for data integration and data mining.\n\nVirtual: ht tps://events.vtools.ieee.org/m/246897 LOCATION:Virtual: https://events.vtools.ieee.org/m/246897 ORGANIZER:ladawson@ucalgary.ca SEQUENCE:2 SUMMARY:The W-net Deep Learning Model for Image Reconstruction URL;VALUE=URI:https://events.vtools.ieee.org/m/246897 X-ALT-DESC:Description: <br /><p>Magnetic resonance imaging (MRI) is a diag nostic imaging modality that provides excellent image contrast that leads to diagnoses of several conditions\, such as tumours and strokes. The majo r drawback of MRI exams is their long acquisition time. An MRI exam usuall y lasts between 30 to 60 minutes per patient. These long acquisition times \, combined with the high costs (~$3\,000\,000) and space requirements to install a scanner and periodic maintenance\, cause MRI exams to be expensi ve and create wait times that make it less accessible. An MRI exam's avera ge price is over $700\, and nearly two million MRI exams are done in Canad a yearly\, making it a billion-dollar industry.</p>\n<p>In this talk\, Dr. Souza will cover the basics of deep learning methods for image reconstruc tion. He will present a deep learning model called the W-net that can be u sed to make MRI exams up to 20 times faster. Dr. Souza will also briefly i llustrate the use of the W-net to improve other imaging applications\, suc h as JPEG image decompression and low-dose computed tomography reconstruct ion.</p>\n<p>------------------------------------------------------------- -------------------------------------------------------------------------- -----------------------------</p>\n<p>Roberto Souza is an Assistant Profes sor at the Electrical and Computer Engineering Department at the Universit y of Calgary\, Canada\, since July 2020. He has a B.Sc. in electrical engi neering from the Federal University of Par&aacute\; (2012)\, an M.Sc. (201 4) and Ph.D. (2017) both in computer engineering from the University of Ca mpinas (UNICAMP). Before becoming an Assistant Professor\, he worked for t hree years as a postdoctoral scholar at the University of Calgary. He has international experience\, having worked as an intern at the Grenoble Inst itute of Technology\, France\, and the University of Pennsylvania\, United States. Dr. Souza has extensive expertise in image processing and machine learning. His research is currently focused on smart strategies for data integration and data mining.</p> END:VEVENT END:VCALENDAR