Past Events
Posterior-Variance-Based Error Quantification for Inverse Problems in Imagingcghljh
By Prof. Thomas Pock
Graz University of Technology
Visualizing mechanical properties in biology using Brillouin microscopy
By Dr. Robert Prevedel
European Molecular Biology Laboratory
Deep Learning-enabled Computational Microscopy and Diffractive Imaging
By Prof. Aydogan Ozcan
UCLA
Normalizing Flows and the Power of Patches in Inverse Problems cghljh
By Prof. Gabriele Steidl
TU Berlin
Simultaneous 3D imaging in Biology with Multifocus Microscopy
By Prof. Sara Abrahamsson
University of California Santa Cruz (US)
Future of Bioimaging: Next Generation Instruments & Artificial Intelligence
By Dr. Loïc Royer
Chan Zuckerberg BioHub
Integrating Physical and Learned Models
By Prof. Ulugbek Kamilov
Washington University in St. Louis
Generative AI, Stable Diffusion, and the Revolution in Visual Synthesis
By Prof. Bjorn Ommer
LMU of Munich
Scanning Ion Conductance Microscopy
By Prof. A. Radenovic & G.Fantner
EPFL
Joint Optimization of Learning-Based Image Reconstruction and K-Space Trajectories for MRI
By Prof. Jeff Fessler
University of Michigan
From differential equations to deep learning for inverse imaging problems
By Prof. Carola Bibiane Schönlieb
University of Cambridge
Imaging using X-ray scattering Contrast to Bridge the Nano and Macroscale
By Prof. Marianne Liebi
EPFL and Paul Scherrer Institute
Modeling Deep Networks: Network Learning for Image Processing
By Prof. Stéphane Mallat
Collège de France
Beyond the First Portrait of a Black Hole
by Prof. Katie Bouman
California Institute of Technology, USA
Mapping 3D Nanostructures with X-Ray Ptychography
By Dr. Manuel Guizar-Sicairos
Paul Scherrer Institut, Switzerland Copyright
3D Imaging of Cells by FIBSEM with Correlation to cryoFLM
By Prof. Harald Hess
HHMI’s Janelia Research Campus, USA
End-to-end Learning for Computational Microscopy
by Dr. Laura WALLER
Computational Imaging Lab, UC Berkeley
Reconstruction of Cryo-EM Images of Proteins at Atomic Resolution
by Dr. Sjors Scheres
MRC Laboratory of Molecular Biology, Cambridge
Imaging the Planet for a Sustainable Future
by Prof. Gilberto Camara
Group on Earth Observations (GEO)
Shedding Light on Tumour Evolution
by Prof. Sarah Bohndiek
University of Cambridge, UK
Functional Ultrasound Imaging gcmbvc
by Prof. Mickael Tanter
INSERM and ESPCI Paris, France
Imaging: Intelligence on the Nanoscale
by Prof. Gabriel Aeppli
Paul Scherrer Institute, Switzerland
Content Aware Image Restoration for Light and Electron Microscopy
by Florian Jug
Max Planck Institute, Dresden, Germany
On Instabilities, Paradoxes and Barriers in Deep Learning
by Prof. Anders Hansen
University of Cambridge, UK
Imaging the Unseen: Taking the First Picture of a Black Hole
by Katie Bouman
Caltech, USA
Video Understanding and Robotics Manipulation (AMLD 2020)
by Cordelia Schmid
INRIA, France
Machine Learning for Bioimage Informatics (AMLD 2020)
by Virginie Uhlmann
EMBL-EBI, UK
Imaging: From Compressed Sensing to Deep Learning
by Prof. Yonina Eldar
Weizmann Institute of Science, Israël
Super-Resolution in Diffraction Microscopy
by Anne Sentenac
Institut Fresnel, France
Reflection Matrix Approaches for Imaging
by Mathias Fink
ESPCI Paris, France
Ultrastructural Expansion Microscopy
by Prof. Paul Guichard
University of Geneva, Switzerland
Structural Analysis with Cryo-Transmission Electron Microscopy
by Prof. Henning Stahlberg
University of Basel, Switzerland
On Micro and Nano Imaging ghcmcm
by Prof. Jacques Dubochet
Nobel Laureate in Chemistry, 2017