BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230925T044404Z UID:A1F857CD-68A0-4AD8-9C39-0D205D4D1FB8 DTSTART;TZID=Asia/Kolkata:20230923T180000 DTEND;TZID=Asia/Kolkata:20230923T190000 DESCRIPTION:IEEE SAC Hyderabad Section in association with IEEE LMAG Hydera bad Section organizing a webinar on 23rd Sept 2023 from 6PM to 7PM on "Med ical Image Segmentation using Deep Learning approaches (Transformers in Me dical Segmentation)" through Google Meet.\n\nAbstract:\n\nIn this talk\, w e would get an introduction to Deep Learning based segmentation of Medical images. A brief overview of UNets would be covered to introduce the audie nce to segmentation architectures.The second part of the talk would be on Attention mechanism. Attention mechanism has revolutionized Deep Learning algorithms\, especially in NLP domain and more recently in Computer Vision tasks.In this talk\, after a brief introduction to attention blocks (from NLP context) we start with some of the attention approachesor computer vi sion tasks. We dive in more detail on couple of attention blocks – criss -cross attention and attention-augmented-convolution.Some of the active fr ontiers in attention blocks (deformable attention) would be finally discus sed to give some insights on current research directions.\n\nSpeaker:\n\nD r. Kumar Rajamani is Senior Manager Algorithm at KLA Tencor. Prior to this \, he was Senior Scientist at Philips Research.\n\nHe completed his Postdo ctoral Researcher at Institute of Medical Informatics\, University of Lueb eck\,Germany.\n\nHis research during the Postdoctoral stint was on Medical Deep learning\, specifically advanced architectures for medical image seg mentation (COVID-19 lesion segmentation) using attention mechanisms.\n\nKu mar was earlier with Robert Bosch\, GE Global Research (GRC)\, Philips Res earch and Amrita University. His research focus includes Semi-conductor Wa fer Inspection\, Metrology\, Image Analysis\,MedicalImaging. He has nine p atents to his credit. Kumar completed his Ph.D. in Biomedical Engineering from University of Bern\, Switzerland.\n\nFeel free to contact us (Sac@iee ehyd.org)\n\nSaikumar Tara\, SAC Chair\, Hyderabad Section\n\nK M M Rao\, LMAG Chair\, Hyderabad Section\n\nCo-sponsored by: IEEE SAC Hyderabad Sect ion and IEEE LMAG Hyderabad Section\n\nSpeaker(s): Dr Kumar Rajamani\, \n\ nVirtual: https://events.vtools.ieee.org/m/374252 LOCATION:Virtual: https://events.vtools.ieee.org/m/374252 ORGANIZER:saikumar9@ieee.org SEQUENCE:62 SUMMARY:Medical Image Segmentation using Deep Learning approaches (Transfor mers in Medical Segmentation) URL;VALUE=URI:https://events.vtools.ieee.org/m/374252 X-ALT-DESC:Description: <br /><p>IEEE SAC Hyderabad Section in association with IEEE LMAG Hyderabad Section organizing a webinar on 23rd Sept 2023 fr om 6PM to 7PM on "Medical Image Segmentation using Deep Learning approache s (Transformers in Medical Segmentation)" through Google Meet.</p>\n<p>Abs tract:&nbsp\;</p>\n<p>In this talk\, we would get an introduction to Deep Learning based segmentation of Medical images. A brief overview of UNets w ould be covered to introduce the audience to segmentation architectures.Th e second part of the talk would be on Attention mechanism.&nbsp\; Attentio n mechanism has revolutionized Deep Learning algorithms\, especially in NL P domain and more recently in Computer Vision tasks.In this talk\, after a brief introduction to attention blocks (from NLP context) we start with s ome of the attention approachesor computer vision tasks. We dive in more d etail on couple of attention blocks &ndash\; criss-cross attention and att ention-augmented-convolution.Some of the active frontiers in attention blo cks (deformable attention) would be finally discussed to give some insight s on current research directions.</p>\n<p>&nbsp\;</p>\n<p>Speaker:&nbsp\;< /p>\n<p>Dr.&nbsp\;Kumar&nbsp\;Rajamani is Senior Manager Algorithm at KLA Tencor. Prior to this\, he was Senior Scientist at Philips Research.&nbsp\ ;</p>\n<p>He completed his Postdoctoral Researcher at Institute of Medical Informatics\, University of Luebeck\,Germany.</p>\n<p>His research during the Postdoctoral stint was on Medical Deep learning\, specifically advanc ed architectures for medical image segmentation (COVID-19 lesion segmentat ion) using attention mechanisms.&nbsp\;</p>\n<p>Kumar&nbsp\;was earlier wi th Robert Bosch\, GE Global Research (GRC)\, Philips Research and Amrita U niversity. His research focus includes Semi-conductor&nbsp\;Wafer Inspecti on\, Metrology\, Image Analysis\,MedicalImaging.&nbsp\;He has nine patents to his credit.&nbsp\;Kumar&nbsp\;completed his Ph.D. in Biomedical Engine ering from University of Bern\, Switzerland.</p>\n<p>&nbsp\;</p>\n<p>&nbsp \;Feel free to contact us (Sac@ieeehyd.org)</p>\n<p>&nbsp\;</p>\n<p>Saikum ar Tara\, SAC Chair\, Hyderabad Section</p>\n<p>&nbsp\;</p>\n<p>K M M Rao\ , LMAG Chair\, Hyderabad Section&nbsp\;</p> END:VEVENT END:VCALENDAR