Programme
Lecture Room S003 |
Foyer |
Room A017 |
Room A019 |
|
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08:45 - 09:00 | Opening Session (Chair: Christiane Tretter, Raphael Sznitman) | - | - | - |
09:00 - 10:00 | Keynote by Kathryn Hess Bellwald (Chair: David Ginsbourger)
Topological Data Analysis : extracting insights from the “shape” of data |
- | - | - |
10:00 - 10:15 | - | Coffee Break | - | - |
10:15 - 11:00 | Poster Session 1 | - | Poster Session 1 | Poster Session 1 |
11:00 - 11:15 | - | Coffee Break | - | - |
11:15 - 12:00 | Plenary with 3 selected oral presentations (Chair: Athina Tzovara) | - | - | - |
12:00 - 13:00 | - | - | - | - |
13:00 - 14:00 | Keynote by Brice-Olivier Demory (Chair: Michael Toscano)
Bayes in the sky: the search for life in the universe |
- | - | - |
14:00 - 15:00 | Plenary with 4 selected oral presentations (Chair: Costanza Naguib) | - | - | - |
15:00 - 15:15 | - | Coffee Break | - | - |
15:15 -16:00 | Poster Session 2 | - | Poster Session 2 | Poster Session 2 |
16:00 - 16:45 | Poster award and voting session (Chair: Sigve Haug) | - | - | - |
16:45 - 17:00 | Closing Session (Chair: Christiane Tretter) | - | - | - |
17:00 - 19:00 | - | Apero with 10 highest ranked posters | - | - |
Poster Sessions take place in 3 Rooms (A 017, A 019, S003).
During poster sessions, the Author(s) of the poster will be around to present their work and or discuss their findings. Please use the table below to navigate poster sessions and find posters.
Room | ID | Presenter | Title | Poster Session |
Important |
---|---|---|---|---|---|
S003 | 13 | Marta Colmenar Herrera | Glaucoma Stage Progression Predictor | Session 1 (10:15-10:35) | This contribution will also be presented in plenary (14:15) |
S003 | 14 | Judith Bouman | Estimating time-dependent transmission rates of SARS-COV-2 using Brownian motion, splines and Gaussian processes in a Bayesian SIR-type model | Session 1 (10:40-11:00) |
This contribution will also be presented in plenary (14:00) |
S003 | 15 | Florence M. Aellen | AI for sleep scoring: moving towards integration in the clinic | Session 1 (10:15-10:35) | This contribution will also be presented in plenary (14:30) |
S003 | 17 | Raphael Joost | Deep learning based Monte Carlo Dose Denoising for Radiation Therapy | Session 1 (10:40-11:00) | This contribution will also be presented in plenary (14:45) |
S003 | 12 | Lars Doorenbos | Generating Astronomical Spectra from Photometry with Conditional Diffusion Models |
Session 2 (15:15-15:35) | This contribution will also be presented in plenary (11:30) |
S003 | 16 | Eric Samikwa | Dynamic Federated Learning for Heterogeneous Learning Environments | Session 2 (15:40-16:00) | This contribution will also be presented in plenary (11:45) |
A017 | 45 | Bernadette Stolz | Topological encoding of relations in data from multiplex immunohistochemistry images | Session 1 (10:15-10:35) |
|
A017 | 46 | Amith J. Kamath | Sensitivity of Deep Learning-Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation | Session 1 (10:15-10:35) | |
A017 | 47 | Frederic Kluser | Intergenerational Nutrition Patterns and How to Break Them | Session 1 (10:15-10:35) | |
A017 | 48 | Michael A. Single | Unobtrusive Measurement of Gait Characteristics Using Seismographs | Session 1 (10:15-10:35) | |
A017 | 49 | Thomas Roder | Scoary2: Rapid association of phenotypic multi-omics data with microbial pan-genomes | Session 1 (10:15-10:35) | |
A017 | 50 | David Kreutter | Multistep retrosynthesis combining a disconnection aware triple transformer loop with a route penalty score guided tree search | Session 1 (10:40-11:00) |
|
A017 | 51 | Davide Scandella |
Ensemble and Majority-Vote Strategies for Deep-Learning Based Detection of Atrophy-Related Biomarkers on OCT Volumes | Session 1 (10:40-11:00) | |
A017 | 52 | Mauro B. Gwerder | Characterizing the expression landscape of colorectal tumor buds by machine-learning based analysis of seqIF images | Session 1 (10:40-11:00) | |
A017 | 53 | Ana Leni Frei | Merging local cell feature and global tissue structure to learn accurate epithelial cell classification on H&E images using geometric deep learning | Session 1 (10:40-11:00) | |
A017 | 54 | Prisca Dotti |
Validation of a deep learning model for the detection and classification of Ca2+ release events in cardiomyocytes using inter-observer variability |
Session 1 (10:40-11:00) | |
A017 | 55 | Sergio Tascon-Morales | Asking Questions About Regions in Medical Visual Question Answering | Session 2 (15:15-15:35) | |
A017 | 56 | Michel Hayoz | Robust Camera Pose Estimation in Endoscopic Surgery | Session 2 (15:15-15:35) | |
A017 | 57 | Fei Wu |
Correlation aware active learning for video segmentation | Session 2 (15:15-15:35) | |
A017 |
58 | Corin Otesteanu | Retinal image registration approach in optical coherence tomography and fluorescence imaging | Session 2 (15:15-15:35) | |
A017 | 59 | Sigurd L. Alnes | Neural complexity and the spectral slope characterize auditory processing in wakefulness and sleep | Session 2 (15:15-15:35) | |
A017 | 60 | Ismail M. Prada Ziegler | Going Beyond Named Entities For Premodern German | Session 2 (15:40-16:00) | |
A017 | 61 | Pinar Göktepe | Neural representation of future outcomes is affected by the decision context | Session 2 (15:40-16:00) | |
A017 | 62 | Amjad Khan | Streamlining, executing and validating AI algorithms on remote HPC infrastructure: An integrated approach | Session 2 (15:40-16:00) | |
A017 | 63 | Lucas Pacheco | Asynchronous Federated Learning for Personalized Healthcare: Enhancing Privacy and Efficiency through Machine Learning and Computer Networking Integration | Session 2 (15:40-16:00) | |
A017 | 64 | Paulo Sampaio | Müller matrix polarimetry for pancreatic tissue characterization | Session 2 (15:40-16:00) | |
A019 | 22 | Alban Ramette | Bayesian hierarchical modeling of clinical metagenomics data | Session 1 (10:15-10:35) | |
A019 | 23 | Kyriakos Rossis | A path-finding algorithm for beam setup in dynamic radiotherapy | Session 1 (10:15-10:35) | |
A019 | 24 | Markus Orsi | Alchemical Analysis of FDA Approved Drugs | Session 1 (10:15-10:35) | |
A019 | 25 | Lena Bruhin | Sensor-driven approach to assess Fear of Falling: A pilot study |
Session 1 (10:15-10:35) | |
A019 | 26 | Javier Gamazo Tejero | Full or weak annotations? An adaptive strategy for budget-constrained annotation campaigns | Session 1 (10:15-10:35) | |
A019 | 27 | Olga V. Churakova | Ethical aspects in research data management | Session 1 (10:15-10:35) | |
A019 | 28 | Michael Horn | Automated Extraction of Alpine Climate Data from Historical Documents | Session 1 (10:40-11:00) | |
A019 | 29 | Kaspar Gubler | Generic database templates for interdisciplinary research in the humanities (nodegoat templates) | Session 1 (10:40-11:00) | |
A019 | 30 | Michal Bechny | Physician and AI in the loop: Enhancing performance of automated sleep scoring algorithm using uncertainty estimates | Session 1 (10:40-11:00) | |
A019 | 31 | Radoslava Svihrova | Towards personalized burnout prevention system: a probabilistic approach for analysis of wearable and contextual data | Session 1 (10:40-11:00) | |
A019 | 32 | Giuliana Monachino | Deep Generative Models for synthetic ECG generation: challenges and opportunities | Session 1 (10:40-11:00) | |
A019 | 33 | Christopher Hahne | 3-Dimensional Sonic Phase-invariant Echo Localization |
Session 2 (15:15-15:35) | |
A019 | 34 | Negin Ghamsarian | DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos | Session 2 (15:15-15:35) | |
A019 | 35 | Riccardo Cusinato | Intrinsic neural timescales in the temporal lobe support an auditory processing hierarchy | Session 2 (15:15-15:35) | |
A019 | 36 | Kalvin Dobler | Identification patterns of T cell interaction with an in vitro model of the blood brain barrier with Deep Representation Learning | Session 2 (15:15-15:35) | |
A019 | 37 | Honghong Fang | Improving 2-photon intravital microscopy imaging with Machine Learning | Session 2 (15:15-15:35) | |
A019 |
38 | Mykhailo Vladymyrov | Investigation of T-cell interactions with a blood-brain barrier model in vitro | Session 2 (15:40-16:00) | |
A019 | 39 | Chengchen Zhu | Dosimetric comparison of Monte Carlo codes for very high energy electrons | Session 2 (15:40-16:00) | |
A019 | 40 | Daniel N. Hosie | Modeling treatment toxicity with temporally feathered radiotherapy | Session 2 (15:40-16:00) | |
A019 | 41 | Alina M Paunoiu | Robust intensity modulation optimization of a colli-DTRT plan: comparison with standard “PTV – approach” | Session 2 (15:40-16:00) | |
A019 | 42 | Linda Studer | Assessing the Need for Surgery in Early-stage Colorectal Cancer Using Graph Based Deep Learning | Session 2 (15:40-16:00) |