31 May 2022 to 1 June 2022
Axica
Europe/Berlin timezone

Poster Session

31 May 2022, 17:45
1h 15m
Axica

Axica

Pariser Platz 3, 10117 Berlin

Description

UTILE project: Autonomous Image Analysis to Accelerate the Discovery and Integration of Energy Materials; Andre Colliard Granero; IEK-13, FZJ

PtyNAMi - Ptychographic Nano-Analytical Microscope; Andreas Schropp; Center for X-ray and Nano Science CXNS, DESY

Towards distributed imaging for autonomous seismic surveys in multi-agent networks; Ban-Sok Shin; DLR

In situ nanotomographic X-ray imaging of magnesium implant degradation; Berit Zeller-Plumhoff; Hereon

Correlative Microscopy of the Rhizosphere - Progress and Challenges; Chaturanga D. Bandara; UFZ

Initial results using neuroimaging features to predict the genetic risk of RLS; Federico Raimondo; INM-7, FZJ

Computational and machine learning approaches for the genetic analysis of histological images; Francesco Paolo Casale; Helmholtz Munich

Federated Learning for Data and Model Privacy in Cloud; Hussain Ahmad Madni; University of Udine

Mapping Arctic treeline vegetation using LiDAR data in the Mackenzie Delta area, Canada; Inge Günberg; AWI

Multi-axes fusing for uncertainty estimation and improved segmentation of biodegradable bone implants in SRµCTs; Ivo Matteo Baltruschat; Research and Innovation in Scientific Computing, DESY

MRI reveals brain ventricle expansion in pediatric patients with acute disseminated encephalomyelitis; Jason Millward; MDC

Performance Portable Reconstruction of Ptychography Data with the Alpaka C++ Library; Jiri Vyskocil; CASUS, HZDR

Nuclear Verification from Space - Change Detection using Machine Learning and Sentinel-2 Imagery; Lisa Beumer; FZJ

MemBrain -- Analysis of Membranes in Cryo-Electron Tomograms; Lorenz Lamm; Helmholtz Munich

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings; Lukas Klein; Helmholtz Imaging

3D Imaging Modalities and Algorithms at the GINIX X-ray microscope; Markus Osterhoff; Röntgenphysik Göttingen

Improving convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer’s disease; Martin Dyrba; DZNE

Partially coherent simulations of PETRA IV Beamlines; Martin Seyrich; Center for X-ray and Nano Science CXNS, DESY

Multi-dimensional imaging of solar cells with scanning X-ray microscopy; Michael Stuckelberger; DESY

Automatized Diffraction Pattern Recognition for Scanning Surface X-Ray Crystallography of Polycrystalline Materials; Nastasia Mukharamova; DESY

ObiWan-Microbi & MicrobeSeg: Deep-Learning Tools for Microbial Image Analysis; Oliver Neumann; KIT

Automatic Recognition of Dead Sea Geomorphological Features; Osama Alrabayah; GEOMAR

Object detection in dehazed Optical and Infrared Images; Oscar Hernan Ramírez Agudelo; DLR

The Hidden Image of Thawing Permafrost: project overview and first results of the radar polarimetric analysis; Paloma Saporta; DLR

Helmholtz Imaging Modalities; Philipp Heuser; Helmholtz Imaging

AI-based Evaluation of cardiac real-time MRI with congenital heart disease; Philipp Rosauer; DLR

How to classify single white blood cells in unseen data from different domains?; Raheleh Salehi; Politecnico Di Torino

Raw Image space improves Single-Cells Classification in Acute Myeloid Leukemia; Rao Muhammad Umer; Institute of Computational Biology (ICB), Helmholtz Munich

The Space-Filling Curve Needle; Sandro Elsweijer; German Aerospace Center (DLR)

Simultaneous Mapping of Magnetic and Atomic Structure of Ferromagnets using Ltz-4D-STEM; Sangjun Kang; KIT

HistAuGAN: Style Transfer as Stain Augmentation Technique in Histopathology; Sophia Wagner; Helmholtz AI

Neuroimaging-Genetics bridge for better understanding of human brain organization; Talip Yasir Demirtas; INM-7, FZJ

DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior; Tomas Chobola; Helmholtz Munich

BaSiCPy: a napari plugin for microscopy illumination correction; Tingying Peng; Helmholtz Munich

Material-specific table-top EUV ptychography; Wilhelm Eschen; Helmholtz Institut Jena

DeStripe: A Self2Self Spatio-Spectral Graph Neural Network with Unfolded Hessian for Stripe Artifact Removal in Light-sheet Microscopy; Yu Liu; Technische Universität Munich

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