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BEGIN:VEVENT
DTSTAMP:20260429T175959Z
DTSTART;VALUE=DATE-TIME:20250428T160000
DTEND;VALUE=DATE-TIME:20250428T170000
SUMMARY:TIA Centre Seminar Series: Theodore Zhao (Microsoft Research)
TZID:Europe/London
UID:20250428-8ac672c695eb91020195ebb2a42f028d@warwick.ac.uk
CREATED:20250331T103300Z
DESCRIPTION:Title: A foundation model for joint segmentation\, detection 
 and recognition of biomedical objects across nine modalities Abstract: B
 iomedical image analysis is fundamental for biomedical discovery. Holist
 ic image analysis comprises interdependent subtasks such as segmentation
 \, detection and recognition\, which are tackled separately by tradition
 al approaches. Here\, we propose BiomedParse\, a biomedical foundation m
 odel that can jointly conduct segmentation\, detection and recognition a
 cross nine imaging modalities. This joint learning improves the accuracy
  for individual tasks and enables new applications such as segmenting al
 l relevant objects in an image through a textual description. To train B
 iomedParse\, we created a large dataset comprising over 6 million triple
 s of image\, segmentation mask and textual description by leveraging nat
 ural language labels or descriptions accompanying existing datasets. We 
 showed that BiomedParse outperformed existing methods on image segmentat
 ion across nine imaging modalities\, with larger improvement on objects 
 with irregular shapes. We further showed that BiomedParse can simultaneo
 usly segment and label all objects in an image. In summary\, BiomedParse
  is an all-in-one tool for biomedical image analysis on all major image 
 modalities\, paving the path for efficient and accurate image-based biom
 edical discovery. Bio: Theodore Zhao is a Senior Applied Scientist at Mi
 crosoft Health and Life Sciences Research\, working on multimodal biomed
 ical imaging models as well as biomedical natural language processing. T
 heodore earned his PhD in Applied Mathematics degree from University of 
 Washington\, where his research applied machine learning\, stochastic mo
 deling and optimization to applications in finance and healthcare. His r
 esearch interests focus on machine learning\, self-supervised learning\,
  multimodal models\, and mathematical modeling. Paper Link: A foundation
  model for joint segmentation\, detection and recognition of biomedical 
 objects across nine modalities | Nature MethodsLink opens in a new windo
 w How to attend: Either turn up to the event on the day\, or if you want
  to attend online then please contact Adam Shephard (adam.shephard@warwi
 ck.ac.uk) for more details.
LOCATION:TBC
URL:/fac/cross_fac/tia/seminars/seminars-24-25/#theo
 dore_zhao
ATTACH:/fac/cross_fac/tia/seminars/seminars-24-25/#t
 heodore_zhao
CATEGORIES:Applied Computing
LAST-MODIFIED:20250331T103300Z
ORGANIZER;CN=Adam Shephard:
END:VEVENT
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