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SUMMARY:Advanced 3D Tomographic Reconstruction Techniques in Electron Micr
 oscopy
DTSTART:20230626T133000
DTEND:20230626T153000
DTSTAMP:20260407T021234Z
UID:f38b2f039a86053bb093e737c2d0855c10957692d45ca6fa0241e930
CATEGORIES:Conferences - Seminars
DESCRIPTION:Alexandre De Skowronski\nEDIC candidacy exam\nExam president: 
 Prof. Pascal Frossard\nThesis advisor: Prof. Pascal Fua\nCo-examiner: Prof
 . Cécile Hébert\n\nAbstract\n3D reconstruction from electron microscopy 
 (EM) images is a central topic in computational imaging. Current reconstru
 ction methods\, borrowed from other imaging modalities\, are limited in ha
 ndling low image counts and noise corruption. Recent attempts using neural
  implicit representations and learning-based techniques are discussed. The
  research proposal focuses on incorporating neural implicit functions for 
 memory-effective reconstructions and exploring learning-based regularizati
 on to enhance denoising. Specific priors tailored to different sample type
 s are considered to reduce the number of required images. The abstract emp
 hasizes the need for contrast-agnostic models and addresses the limitation
 s of existing systems.\n\nBackground papers\n1) J. R. Ramirez\, P. Rautek\
 , C. Bohak\, O. Strnad\, Z. Zhang\, S. Li\, I. Viola\, and W. Heidrich\, 
 “Gpu accelerated 3d tomographic reconstruction and visualization from no
 isy electron microscopy tilt-series” IEEE Transactions on Visualization 
 and Computer Graphics\, pp. 1–15\, 2022. (preprint) [LINK]\n2) H. Kniese
 l\, T. Ropinski\, T. Bergner\, K. Shaga Devan\, C. Read\, P. Walther\, T. 
 Ritschel\, and P. Hermosilla\, “Clean implicit 3d structure from noisy 2
 d stem images” in Proceedings of IEEE Conference on Computer Vision and 
 Pattern Recognition\, 2022. [LINK]\n3) A. Levy\, F. Poitevin\, J. Martel\,
  Y. Nashed\, A. Peck\, N. Miolane\, D. Ratner\, M. Dunne\, and G. Wetzstei
 n\, “Cryoai: Amortized inference of poses for ab initio reconstruction o
 f 3d molecular volumes from real cryo-em images” ECCV\, 2022. [LINK]\n 
LOCATION:BC 229 https://plan.epfl.ch/?room==BC%20229
STATUS:CONFIRMED
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