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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Imaging Seminar: Vision Foundation Models for Microscopy
DTSTART:20260330T170000
DTEND:20260330T180000
DTSTAMP:20260414T175449Z
UID:292d8c5b8ec1275ba92ea76b64701ca776db9d5f0640352dcee5b499
CATEGORIES:Conferences - Seminars
DESCRIPTION:Constantin Pape\, Georg-August-Universität-Göttingen\nRegist
 ration to attend in person\n\nZoom link (no registration required)\n\nAbs
 tract: Microscopy image analysis is becoming more important with the incre
 asing size of bioimaging datasets due to continuing improvements spatial a
 nd time resolution\, field of view\, multiplexing\, etc. Deep learning-bas
 ed methods have advanced the state-of-the-art for different analysis tasks
 \, such as cell segmentation\, classification\, and tracking. However\, th
 e large number of different tools for different tasks makes it difficult t
 o find the right solution. Moreover\, many current tools suffer from limit
 ed generalization capabilities and are thus only applicable in a narrow co
 ntext. Hence\, changes in the data to analyze\, e.g. different imaging set
 tings or specimen\, require model re-training\, which is often time-consum
 ing and technically challenging. Vision foundation models offer a solution
  to theses challenges by providing a single\, powerful model that addresse
 s several image analysis tasks for diverse data conditions.\n\nIn this tal
 k\, he will present his group’s work on developing vision foundation mod
 els for microscopy\, with a particular focus on Segment Anything for Micro
 scopy. This approach addresses a wide range of segmentation tasks in both 
 light and electron microscopy within a single framework. He will also intr
 oduce ongoing extensions of the model that aim to support additional tasks
 \, including pixel classification\, cell classification\, and cell trackin
 g\, all within a unified system.\n\nBio: This talk will be given by Prof. 
 Constantin Pape\, head of the Computational Cell Analytics research group 
 at the Institute of Computer Science at Georg August University Göttingen
  and a member of the Campus Institute for Data Science (CIDAS). His resear
 ch focuses on image processing methods with applications in biology and me
 dicine. Prior to joining Göttingen\, he was a postdoctoral fellow at EMBL
  Heidelberg. His main research interests include machine learning and deep
  learning\, which he applies primarily to microscopy image analysis. He al
 so works on the processing and visualization of large-scale image datasets
 . His work is strongly interdisciplinary\, involving close collaboration w
 ith biologists and medical professionals.\n\nThe seminar is followed by an
  aperitif. \n\nRegistration appreciated
LOCATION:BM 5202 https://plan.epfl.ch/?room==BM%205202 https://epfl.zoom.u
 s/j/63090912969
STATUS:CONFIRMED
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