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DTSTAMP:20250607T182920Z
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DTSTART;TZID=America/Chicago:20250604T103000
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DESCRIPTION:Title: Using Image Analysis to Unravel Mysteries of the Brain\n
 \nThe talk will focus on recent advances in image analysis that impact the
  study of the brain. Connections between the immune system and the brain m
 ade by way of image analysis will be highlighted. The talk will focus on s
 egmentation of neurons\, glia and meningeal lymphatics and bacteria. A gra
 ph theoretic model that incorporates elasticity via a shape manifold will 
 be introduced. A post-processing method for machine learning-based segment
 ation of cells will be described. More recent applications\, including a t
 ransformer model for image enhancement in the presence of signal-dependent
  noise and a planning method for transcranial focused ultrasound\, will be
  presented.\n\nCo-sponsored by: University of Minnesota\n\nSpeaker(s): Pro
 f. Scott T. Acton\n\nAgenda: \n10:30 – 11:00 a.m. Meet and Greet (Coffee
  session)\n\n11:00 – 11:05 a.m. Welcome Remarks by Dr. Wenyu Jin\n\n11:0
 5 – 12:00 p.m. Using Image Analysis to Unravel Mysteries of the Brain by
  Prof. Scott T. Acton\n\nRoom: 101\, Bldg: Walter Library\, 117 Pleasant S
 t SE\, Minneapolis\, Minnesota\, United States\, 55455
LOCATION:Room: 101\, Bldg: Walter Library\, 117 Pleasant St SE\, Minneapoli
 s\, Minnesota\, United States\, 55455
ORGANIZER:wenyu.jin@ieee.org
SEQUENCE:39
SUMMARY:IEEE SPS DISTINGUISHED LECTURER PROGRAM TWIN CITIES SP/COM CHAPTER 
 SEMINAR 06/04/2025
URL;VALUE=URI:https://events.vtools.ieee.org/m/485042
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Title: &lt;span style=&quot;text-decoration: under
 line\;&quot;&gt;&lt;strong&gt;Using Image Analysis to Unravel Mysteries of the Brain&lt;/st
 rong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;MsoNormal&quot;&gt;The talk will focus on recent advan
 ces in image analysis that impact the study of the brain. Connections betw
 een the immune system and the brain made by way of image analysis will be 
 highlighted. The talk will focus on segmentation of neurons\, glia and men
 ingeal lymphatics and bacteria. A graph theoretic model that incorporates 
 elasticity via a shape manifold will be introduced. A post-processing meth
 od for machine learning-based segmentation of cells will be described. Mor
 e recent applications\, including a transformer model for image enhancemen
 t in the presence of signal-dependent noise and a planning method for tran
 scranial focused ultrasound\, will be presented.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;b
 r /&gt;&lt;p&gt;10:30 &amp;ndash\; 11:00 a.m.&amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\;&lt;strong&gt;Mee
 t and Greet &lt;/strong&gt;(Coffee session)&lt;/p&gt;\n&lt;p&gt;11:00 &amp;ndash\; 11:05 a.m. &amp;n
 bsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\;&lt;strong&gt;Welcome Remarks&lt;/strong&gt;&amp;nbsp\;by&amp;nbs
 p\;&lt;em&gt;Dr. Wenyu Jin&lt;/em&gt;&lt;/p&gt;\n&lt;p&gt;11:05 &amp;ndash\; 12:00 p.m. &amp;nbsp\; &amp;nbsp\
 ; &amp;nbsp\; &amp;nbsp\;&lt;span style=&quot;text-decoration: underline\;&quot;&gt;&lt;strong&gt;Using 
 Image Analysis to Unravel Mysteries of the Brain &lt;/strong&gt;&lt;/span&gt;by Prof. 
 Scott T. Acton&lt;/p&gt;
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