Data Science Lab

Programme

Agenda May 5

Lecture Room S003

Foyer

Room A017

Room A019

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 - -
UniS floorplan for BDSD2023

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.

BDSD2023 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)