Programme
08:45 - 09:00 | Opening session (J. Ziegel) |
09:00 - 10:00 | Keynote (Christian Althaus chaired by C. Tretter) |
10:00 - 10:15 | Coffee Break |
10:15 - 11:00 | Poster session 1 |
11:15 - 12:00 | Poster session 2 |
12:00 - 13:30 | Lunch break (Lunch not provided) |
13:30 - 14:30 | Plenary with 4 oral presentations (chaired by C. Beisbart) |
14:30 - 15:00 | Coffee Break |
15:00 - 15:45 | Poster session 3 |
16:00 - 16:45 | Poster reward and voting session (S. Haug, M. Reyes, A. Tzovara) |
16:45 - 17:00 | Closing session (J. Ziegel) |
17:00 - 19:00 | Apero with 10 highest ranked posters |

Poster Sessions take place in 3 Rooms (Foyer, A 019, A 019). Use the floorplan and or the table below to navigate poster exhibitions and to find posters.
ID | Room | Presenter | Title | Poster Session |
---|---|---|---|---|
A1 |
Foyer | Anne-Christine Uldry | Mass spectrometry data analysis | Session 1 (10:15-11:00) |
A2 | Foyer | Noelia Otero | On the prediction of extremes in precipitation fields with deep learning | Session 1 (10:15-11:00) |
A3 | Foyer | Javier Gamazo | Full or weak annotations? An adaptive strategy for budget-constrained annotation campaigns | Session 1 (10:15-11:00) |
A4 | Foyer | Martin Rauber | Sunset-calc: An R Shiny Application for Processing Thermo-Optical Analysis Data from Atmospheric Aerosol Measurements | Session 1 (10:15-11:00) |
A5 | Foyer | Magdalena Camenzind | Aiming for more objectivity in creativity assessment – Applying word vectors on creativity data |
Session 1 (10:15-11:00) |
A6 | Foyer | Péter Jeszenszky | Linguistic Mobility Index: a tool for quantifying dialectal exposure in studies of language variation and change | Session 1 (10:15-11:00) |
A7 | Foyer | Céline Portenier | Skycam – a deep neural network to derive cloud base height from thermal camera images | Session 2 (11:15-12:00) |
A8 | Foyer | Fei Wu | Active Learning for Video Segmentation | Session 2 (11:15-12:00) |
A9 |
Foyer | Matthias Niggli | 'Moving On' - Investigating Inventors' Ethnic Origins Using Supervised Learning | Session 2 (11:15-12:00) |
A10 | Foyer | Negar Emami | Attention-based Neural Networks for Multi-modal Trajectory Prediction | Session 2 (11:15-12:00) |
A11 | Foyer | Nick Lüthi | Augmented Intelligence, Augmented Responsibility? A Theory of Reason-Responsiveness for Augmented Intelligence Systems |
Session 2 (11:15-12:00) |
A12 | Foyer | Sigurd L. Alnes | Computational techniques predict awakening from coma based on EEG responses to sounds | Session 3 (15:00 - 15:45) |
A13 | Foyer | Kinga Sipos |
Digitalisation of Teaching Mathematics and its Impact on Learning | Session 3 (15:00 - 15:45) |
A14 | Foyer | Res Jöhr | Age Classification of Brain MRI using Transfer Learning and MATLAB | Session 3 (15:00 - 15:45) |
A15 | Foyer | Julia van der Meer | The Bern Sleep Database: Clustering of Patients with Sleep Disorders | Session 3 (15:00 - 15:45) |
A16 | Foyer | Mykhailo Vladymyrov |
Machine-Learning Climate Simulations |
Session 3 (15:00 - 15:45) |
A17 | Foyer | Suhang You | Attention Shift: A Performance Study on Training Time and Test time Contrast based Image Modifications’ effects on U-Net Models for Brain Tissue Segmentation | Session 3 (15:00 - 15:45) |
A18 | Foyer | Thomas Roder | OpenGenomeBrowser: A reusable database independent and scalable web platform for genome database management and comparative genomics | Session 3 (15:00 - 15:45) |
A19 | Foyer | Adam Bielski |
Emergence of Object Segmentation in Perturbed Generative Models | Session 3 (15:00 - 15:45) |
B1 | A 019 |
Amjad Khan | Accurate colorectal cancer lymph node metastasis detection using deep learning | Session 1 (10:15-11:00) |
B2 | A 019 | Mykhailo Vladymyrov | Investigation of T-cell interactions with a blood-brain barrier model in vitro | Session 1 (10:15-11:00) |
B3 | A 019 | Chengchen Zhu | Development and evaluation of dynamic-collimator trajectory radiotherapy (colli-DTRT) | Session 1 (10:15-11:00) |
B4 | A 019 | Lars Doorenbos | Learning non-linear invariants for unsupervised out-of-distribution detection | Session 1 (10:15-11:00) |
B5 | A 019 | Lucas Pacheco | Estimating Data Quality for Federated and Split Learning Systems | Session 1 (10:15-11:00) |
B6 | A 019 | Prisca Dotti | Detection and Classification of Local Ca²⁺ Release Events in Cardiomyocytes Using 3D-UNet Neural Network |
Session 1 (10:15-11:00) |
B7 | A 019 | Linda Studer | Investigating the Spatial Relationship of Tumor-Buds and T-cells in Colorectal Cancer using Graphs | Session 1 (10:15-11:00) |
B8 | A 019 | Hannes Anton Loebner | A tool to assess robustness of radiotherapy dose distributions against patient- and machine-related uncertainties | Session 1 (10:15-11:00) |
B9 | A 019 | Peter Degen | Resampling methods as a means to improve low replicability of differential expression results from RNA-Seq data | Session 1 (10:15-11:00) |
B10 | A 019 | Giao Nguyen | Automatic lymphocyte quantification in virtual CD20-CD3 staining generated from H&E images using GAN colorization | Session 2 (11:15-12:00) |
B11 | A 019 | Ioannis Papathanail | An Artificial Intelligence-powered system to assess nutrient intake in hospitalised older patients | Session 2 (11:15-12:00) |
B12 | A 019 | Kaspar Gubler | Dynamic Data Ingestion: Server-side data harmonization in historical research. A centralized approach to providing interoperable research data |
Session 2 (11:15-12:00) |
B13 | A 019 | Mauro Gwerder | Classification of Lung Cancer Metastases in Lymph Nodes Using a Weakly-Supervised Learning Approach | Session 2 (11:15-12:00) |
B14 | A 019 | Michel Hayoz | Bayesian Fusion Framework for Semantic SLAM in Endoscopy | Session 2 (11:15-12:00) |
B15 | A 019 | Amith Kamath | Automated Quality Assurance for Radiation Therapy |
Session 3 (15:00 - 15:45) |
B16 | A 019 | André Amado | Dynamic eco-evolutionary fitness landscapes display complex evolutionary trajectories and sustained diversity | Session 3 (15:00 - 15:45) |
B17 | A 019 | Corin Otesteanu | Machine learning for characterizing parasite infected cells in microscopy imaging | Session 3 (15:00 - 15:45) |
B18 | A 019 | Ivan Diaz | 3D rotation-equivariant segmentation network for brain MRI segmentation tasks | Session 3 (15:00 - 15:45) |
B19 | A 019 | Markus Orsi | Machine learning aided discovery of membrane disruptive, non-hemolytic anticancer peptides | Session 3 (15:00 - 15:45) |
C1 | A 017 |
Adrian Jäggi | Satellite orbit and gravity field determination at AIUB | Session 1 (10:15-11:00) |
C2 | A 017 | Ana Frei | Hard negative mining to boost nuclei classification on H&E images | Session 1 (10:15-11:00) |
C3 | A 017 | Martin Wegmann | Artificial intelligence reconstructs global temperature from scarce local data | Session 1 (10:15-11:00) |
C4 | A 017 | Olga Churakova | BORIS Portal: Research data and projects | Session 1 (10:15-11:00) |
C5 | A 017 | Alexander Holloway | A unified toolchain for the living systematic review of mental health during the COVID-19 pandemic | Session 2 (11:15-12:00) |
C6 | A 017 | Beatriz Vidondo | Animal detection and species classification on Swiss camera trap images using AI | Session 2 (11:15-12:00) |
C7 | A 017 | Jo Ann Egger | A Neural Network Based Approach to Modelling the Internal Structure of Transiting Exoplanets | Session 2 (11:15-12:00) |
C8 | A 017 | Lena Bruhin |
Development and Evaluation of a Digital Care Assistant for an Old Age Psychiatry Ward | Session 2 (11:15-12:00) |
C9 | A 017 | Matthias Fontanellaz | AI vs Human Experts: A comparison between, Network Architectures, Data Presentation, and Feature Selection. | Session 2 (11:15-12:00) |
C10 | A 017 | Michael Single | Unobtrusive Assessment of Gait in an Apartment by Using Doppler Radars | Session 2 (11:15-12:00) |
C11 | A 017 | Patric Wyss | Adaptive data-driven selection of sequences of biological and cognitive markers in clinical diagnosis of dementia | Session 2 (11:15-12:00) |
C12 | A 017 | Seyedeh Sharareh Mirzargar | Learning to Predict Mental Health from Wearables Time-series | Session 2 (11:15-12:00) |
C13 | A 017 | Sergio Tascon Morales | Consistency-preserving Visual Question Answering in Medical Imaging | Session 2 (11:15-12:00) |
C14 | A 017 | Negin Ghamsarian | LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos | Session 3 (15:00 - 15:45) |
C15 | A 017 | Christian Abbet | Automatic tumor-stroma assessment in colorectal cancer using self-supervised domain adaptation | Session 3 (15:00 - 15:45) |
C16 | A 017 | Manuel Koesters | The Influence of tRNA Modification Mutants on Protein Homeostasis in HEK Cells | Session 3 (15:00 - 15:45) |
C17 | A 017 | Paul-Henry Mackeprang | 3D interactive visualization of radiotherapy data with the visualization toolkit (VTK) in python using Mayavi | Session 3 (15:00 - 15:45) |
C18 | A 017 | Elias Baumann | Addressing extreme class imbalance in panoptic nuclei segmentation | Session 3 (15:00 - 15:45) |
C19 | A 017 | Saskia Perret-Gentil | Quantification of the cellular heterogeneity of a brain endothelial monolayer serving as in vitro model of the blood-brain barrier with Deep Learning | Session 3 (15:00 - 15:45) |