| 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) |
