Bern Data Science Day 2023

Topological encoding of relations in data from multiplex immunohistochemistry images

Sensitivity of Deep Learning-Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation

Intergenerational Nutrition Patterns and How to Break Them

Unobtrusive Measurement of Gait Characteristics Using Seismographs

Scoary2: Rapid association of phenotypic multi-omics data with microbial pan-genomes

Multistep retrosynthesis combining a disconnection aware triple transformer loop with a route penalty score guided tree search

Ensemble and Majority-Vote Strategies for Deep-Learning Based Detection of Atrophy-Related Biomarkers on OCT Volumes

Characterizing the expression landscape of colorectal tumor buds by machine-learning based analysis of seqIF images

Merging local cell feature and global tissue structure to learn accurate epithelial cell classification on H&E images using geometric deep learning

Validation of a deep learning model for the detection and classification of Ca2+ release events in cardiomyocytes using inter-observer variability

Bayesian hierarchical modeling of clinical metagenomics data

A path-finding algorithm for beam setup in dynamic radiotherapy

Alchemical Analysis of FDA Approved Drugs

Sensor-driven approach to assess Fear of Falling: A pilot study

Full or weak annotations? An adaptive strategy for budget-constrained annotation campaigns

Ethical aspects in research data management

Automated Extraction of Alpine Climate Data from Historical Documents

Generic database templates for interdisciplinary research in the humanities (nodegoat templates)

Physician and AI in the loop: Enhancing performance of automated sleep scoring algorithm using uncertainty estimates.

Towards personalized burnout prevention system: a probabilistic approach for analysis of wearable and contextual data.

Deep Generative Models for synthetic ECG generation: challenges and opportunities

Glaucoma Stage Progression Predictor

AI for sleep scoring: moving towards integration in the clinic

Estimating time-dependent transmission rates of SARS-COV-2 using Brownian motion, splines and Gaussian processes in a Bayesian SIR-type model

Deep learning based Monte Carlo Dose Denoising for Radiation Therapy