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DTSTART:20250309T030000
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DTSTART:20251102T010000
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DTSTAMP:20250603T063748Z
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DTSTART;TZID=America/Chicago:20250602T183000
DTEND;TZID=America/Chicago:20250602T200000
DESCRIPTION:The talk will focus on recent advances in image analysis that i
 mpact the study of the brain. Connections between the immune system and th
 e brain made by way of image analysis will be highlighted. The talk will f
 ocus on segmentation of neurons\, glia and meningeal lymphatics and bacter
 ia. A graph theoretic model that incorporates elasticity via a shape manif
 old will be introduced. A post-processing method for machine learning-base
 d segmentation of cells will be described. More recent applications\, incl
 uding a transformer model for image enhancement in the presence of signal-
 dependent noise and a planning method for transcranial focused ultrasound\
 , will be presented.\n\nSpeaker(s): Scott T. Acton\, Ph.D.\, \n\nAgenda: \
 n6:30 - 7:00 Social half hour to grab food and drink\n\n7:00 - 8:00 Techni
 cal talk\n\nRoom: Mann Hall\, Bldg: Medical Sciences Building\, 300 3rd Av
 e SW\, Rochester\, Minnesota\, United States\, 55902\, Virtual: https://ev
 ents.vtools.ieee.org/m/480122
LOCATION:Room: Mann Hall\, Bldg: Medical Sciences Building\, 300 3rd Ave SW
 \, Rochester\, Minnesota\, United States\, 55902\, Virtual: https://events
 .vtools.ieee.org/m/480122
ORGANIZER:pramanik.leena@ieee.org
SEQUENCE:27
SUMMARY:June DISTINGUISHED LECTURER Talk: Using Image Analysis to Unravel M
 ysteries of the Brain (HYBRID)
URL;VALUE=URI:https://events.vtools.ieee.org/m/480122
X-ALT-DESC:Description: <br /><p style="text-align: justify\;">The talk wil
 l focus on recent advances in image analysis that impact the study of the 
 brain. Connections between 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 meningeal lymphatics and bacteria. A graph theoretic m
 odel that incorporates elasticity via a shape manifold will be introduced.
  A post-processing method for machine learning-based segmentation of cells
  will be described. More recent applications\, including a transformer mod
 el for image enhancement in the presence of signal-dependent noise and a p
 lanning method for transcranial focused ultrasound\, will be presented.</p
 ><br /><br />Agenda: <br /><p><em>6:30 - 7:00</em>&nbsp\;Social half hour 
 to grab food and drink</p>\n<p><em>7:00 - 8:00</em>&nbsp\;Technical talk</
 p>\n<p>&nbsp\;</p>
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