Bern Data Science Day 2023

Afternoon Poster Session

Room A017

Time ID Presentation
15:15–15:35
55
Asking Questions About Regions in Medical Visual Question Answering
Sergio Tascon-Morales
56
Robust Camera Pose Estimation in Endoscopic Surgery
Michel Hayoz
57
Correlation aware active learning for video segmentation
Fei Wu
58
Retinal image registration approach in optical coherence tomography and fluorescence imaging
Corin Otesteanu
59
Neural complexity and the spectral slope characterize auditory processing in wakefulness and sleep
Sigurd L. Alnes
15:40–16:00
60
Going Beyond Named Entities For Premodern German
Ismail M. Prada Ziegler
61
Neural representation of future outcomes is affected by the decision context
Pinar Göktepe
62
Streamlining, executing and validating AI algorithms on remote HPC infrastructure: An integrated approach
Amjad Khan
63
Asynchronous Federated Learning for Personalized Healthcare: Enhancing Privacy and Efficiency through Machine Learning and Computer Networking Integration
Lucas Pacheco
64
Müller matrix polarimetry for pancreatic tissue characterization
Paulo Sampaio

Room A019

Time ID Presentation
15:15–15:35
33
3-Dimensional Sonic Phase-invariant Echo Localization
Christopher Hahne
34
DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
Negin Ghamsarian
35
Intrinsic neural timescales in the temporal lobe support an auditory processing hierarchy
Riccardo Cusinato
36
Identification patterns of T cell interaction with an in vitro model of the blood brain barrier with Deep Representation Learning
Kalvin Dobler
37
Improving 2-photon intravital microscopy imaging with Machine Learning
Honghong Fang
15:40–16:00
38
Investigation of T-cell interactions with a blood-brain barrier model in vitro
Mykhailo Vladymyrov
39
Dosimetric comparison of Monte Carlo codes for very high energy electrons
Chengchen Zhu
40
Modeling treatment toxicity with temporally feathered radiotherapy
Daniel N. Hosie
41
Robust intensity modulation optimization of a colli-DTRT plan: comparison with standard “PTV – approach”
Alina M Paunoiu
42
Assessing the Need for Surgery in Early-stage Colorectal Cancer Using Graph Based Deep Learning
Linda Studer

Room S003

Time ID Presentation
15:15–15:35
12
Generating Astronomical Spectra from Photometry with Conditional Diffusion Models
Lars Doorenbos
16
Dynamic Federated Learning for Heterogeneous Learning Environments
Eric Samikwa