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UID:562@cran.univ-lorraine.fr
DTSTART;TZID=Europe/Paris:20240924T130000
DTEND;TZID=Europe/Paris:20240924T140000
DTSTAMP:20240905T100526Z
URL:https://www.cran.univ-lorraine.fr/events/seminaire-martin-hohmann-clin
 ical-photonics-lab-erlangen-nuremberg/
SUMMARY:Séminaire Martin Hohmann (Clinical Photonics Lab\, Erlangen-Nuremb
 erg)
DESCRIPTION:Speaker: Dr. Martin Hohmann\, Clinical Photonics Lab\, Institut
 e of Photonic Technologies of the University of Erlangen-Nuremberg (German
 y)\nTitle: Statistics and machine learning - from classification to extrac
 ting unknowns\nLocation: Room ED38 (Building E\, Faculty of Medicine\, Cam
 pus Brabois Santé)\n\nAbstract: This presentation explores the applicatio
 n of machine learning in various contexts\, ranging from simple uses such 
 as detecting carcinomas in the gastrointestinal tract to enabling new tech
 niques for extracting physical features or unknown parameters. The challen
 ges and solutions associated with machine learning are discussed\, along w
 ith strategies for overcoming them\, in the first part of the presentation
 . Additionally\, scoring systems and manual alternatives are presented as 
 means to accelerate research when machine learning is not feasible. While 
 these methods represent a direct continuation of classical research\, mach
 ine learning truly excels when combined with novel optical methodologies o
 r customized neural networks\, particularly when extracting parameters not
  present in the training or test data. The random laser and customized aut
 oencoder network are highlighted as illustrative examples. Finally\, Bayes
 ian statistics is introduced as a complementary tool for deriving physical
  relationships\, offering an alternative to machine learning.\n\nBiography
 : Martin Hohmann is a postdoctoral researcher at the Institute of Photonic
  Technologies at the Friedrich-Alexander Universität Erlangen-Nürnberg. 
 In 2021\, he successfully defended his PhD thesis titled „Machine learni
 ng and hyper spectral imaging: multi spectral endoscopy in the gastro inte
 stinal tract towards hyper spectral endoscopy“. Additionally\, he serves
  as a mentor at Erlangen Graduate School in Advanced Optical Technologies 
 (SAOT) and is an assistant editor at the Journal of Optics and Laser Techn
 ology (JOLT). His research and educational interests involve turbid media\
 , with a focus on biophotonics and tissue optics. The central technologies
  of interest include hyperspectral imaging\, random lasing\, machine learn
 ing\, and spectroscopic techniques. Throughout his career\, he authored mo
 re than 40 articles.
CATEGORIES:Département BioSiS,Séminaires projet PhotoDiag
LOCATION:CRAN - Médecine - Bât D\, 9\, Avenue de la Forêt de Haye\, Vand
 oeuvre-lès-Nancy\, 54505\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=9\, Avenue de la Forêt de 
 Haye\, Vandoeuvre-lès-Nancy\, 54505\, France;X-APPLE-RADIUS=100;X-TITLE=C
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