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BEGIN:VEVENT
DTSTAMP:20221216T104700Z
UID:76B75325-8FF3-4DC5-965A-2F2AD2CA9010
DTSTART;TZID=Asia/Kolkata:20221215T143000
DTEND;TZID=Asia/Kolkata:20221215T160000
DESCRIPTION:Abstract\n\nDr. Kumar Rajamani is Senior Manager Algorithm at K
 LA Tencor.\n\nMedical Image Segmentation is a challenging area of research
  where Deep Learning algorithms have shown lot of success in recent times.
 \n\nIn this talk\, we would get an introduction to Deep Learning based seg
 mentation of Medical images. A brief overview of UNets would be covered to
 introduce the audience to segmentation architectures.The second part of th
 e talk would be on Attention mechanism. Attention mechanism has revolution
 ized Deep Learning algorithms\, especially inNLP domain and more recently 
 in Computer Vision tasks.In this talk\, after a brief introduction to atte
 ntion blocks (from NLP context) we start with some of the attention approa
 chesor computer vision tasks. We dive in more detail on couple of attentio
 n blocks – criss-cross attention and attention-augmented-convolution.Som
 e of the active frontiers in attention blocks (deformable attention) would
  be finally discussed to give some insights on currentresearch directions.
 \n\nBrief profile is as below\n\n------------------------------\n\nDr. Kum
 ar Rajamani is Senior Manager Algorithm at KLA Tencor. Prior to this\, he 
 was Senior Scientist at Philips Research.\n\nHe completed his Postdoctoral
  Researcher at Institute of Medical Informatics\, University of Luebeck\,G
 ermany.\n\nHis research during the Postdoctoral stint was on Medical Deep 
 learning\, specifically advanced architectures for medical image segmentat
 ion (COVID-19 lesion segmentation) using attention mechanisms.\n\nKumar wa
 s earlier with Robert Bosch\, GE Global Research (GRC)\, Philips Research 
 and Amrita University. His research focus includes Semi-conductor Wafer In
 spection\, Metrology\, Image Analysis\,MedicalImaging.\n\nHe has nine pate
 nts to his credit. Kumar completed his Ph.D. in Biomedical Engineering fro
 m University of Bern\, Switzerland.\n\nSaikumarTara\n\nIEEE BVRITH SBC\n\n
 K V N Sunitha\n\nPrincipal\, BVRITH\n\nCo-sponsored by: IEEE BVRIT SB\n\nS
 peaker(s): Dr Kumar Rajamani\, \n\nRoom: Second Floor\, Bldg: Sapphire Blo
 ck\, BVRITH\, Hyderabad\, Andhra Pradesh\, India
LOCATION:Room: Second Floor\, Bldg: Sapphire Block\, BVRITH\, Hyderabad\, A
 ndhra Pradesh\, India
ORGANIZER:saikumar9@ieee.org
SEQUENCE:1
SUMMARY:Medical Image Segmentation using Deep Learning approaches (Transfor
 mers in Medical Segmentation)
URL;VALUE=URI:https://events.vtools.ieee.org/m/338105
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;&lt;u&gt;Abstract&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;D
 r.&amp;nbsp\;Kumar&amp;nbsp\;Rajamani is Senior Manager Algorithm at KLA Tencor.&lt;/
 p&gt;\n&lt;p&gt;Medical Image Segmentation is a challenging area of research where 
 Deep Learning algorithms have shown lot of success in recent times.&lt;/p&gt;\n&lt;
 p&gt;In this talk\, we would get an introduction to Deep Learning based segme
 ntation of Medical images. A brief overview of UNets would be covered toin
 troduce the audience to segmentation architectures.The second part of the 
 talk would be on Attention mechanism.&amp;nbsp\; Attention mechanism has revol
 utionized Deep Learning algorithms\, especially inNLP domain and more rece
 ntly in Computer Vision tasks.In this talk\, after a brief introduction to
  attention blocks (from NLP context) we start with some of the attention a
 pproachesor computer vision tasks. We dive in more detail on couple of att
 ention blocks &amp;ndash\; criss-cross attention and attention-augmented-convo
 lution.Some of the active frontiers in attention blocks (deformable attent
 ion) would be finally discussed to give some insights on currentresearch d
 irections.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Brief&amp;nbsp\;profile&amp;nbsp\;is as below&lt;/
 p&gt;\n&lt;p&gt;------------------------------&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Dr.&amp;nbsp\;Ku
 mar&amp;nbsp\;Rajamani is Senior Manager Algorithm at KLA Tencor. Prior to thi
 s\, he was Senior Scientist at Philips Research.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;He complet
 ed his Postdoctoral Researcher at Institute of Medical Informatics\, Unive
 rsity of Luebeck\,Germany.&lt;/p&gt;\n&lt;p&gt;&lt;br /&gt;His research during the Postdocto
 ral stint was on Medical Deep learning\, specifically advanced architectur
 es for medical image segmentation (COVID-19 lesion segmentation) using att
 ention mechanisms.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Kumar&amp;nbsp\;was earlier 
 with Robert Bosch\, GE Global Research (GRC)\, Philips Research and Amrita
  University. His research focus includes Semi-conductor&amp;nbsp\;Wafer Inspec
 tion\, Metrology\, Image Analysis\,MedicalImaging.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;br /&gt;He
  has nine patents to his credit.&amp;nbsp\;Kumar&amp;nbsp\;completed his Ph.D. in 
 Biomedical Engineering from University of Bern\, Switzerland.&lt;/p&gt;\n&lt;p&gt;&amp;nbs
 p\;&amp;nbsp\; SaikumarTara&lt;/p&gt;\n&lt;p&gt;IEEE BVRITH SBC&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;K 
 V N Sunitha&lt;/p&gt;\n&lt;p&gt;Principal\, BVRITH&lt;/p&gt;
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