176 citations
- University of HelsinkiFI10 papers
- Aalto UniversityFI3 papers
- Heidelberg UniversityDE2 papers
- Heinrich Heine University DüsseldorfDE2 papers
- Medical University of ViennaAT2 papers
- Skåne University HospitalSE2 papers
- Technische Universität DresdenDE2 papers
- University of ManchesterGB2 papers
- Aava Medical CentreFI1 paper
- Åbo Akademi UniversityFI1 paper
- Acibadem City ClinicBG1 paper
- Addenbrooke's HospitalGB1 paper
14 papers
Synergizing Data Imputation and Electronic Health Records for Advancing Prostate Cancer Research: Challenges, and Practical Applications
Abderrahim Oussama Batouche, Eugen Czeizler, Miika Koskinen +2
The presence of detailed clinical information in electronic health record (EHR) systems presents promising prospects for enhancing patient care through automated retrieval techniqu…
Supporting Management of Gestational Diabetes with Comprehensive Self-Tracking: Mixed-Method Study of Wearable Sensors
Mikko Kytö, Saila Koivusalo, Heli Tuomonen +5
Gestational diabetes (GDM) poses a growing health risk to both pregnant women and their offspring. While telehealth interventions for GDM management have proven effective, they hav…
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury +37
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors
Einari Vaaras, Manu Airaksinen, Sampsa Vanhatalo +1
The recently-developed infant wearable MAIJU provides a means to automatically evaluate infants' motor performance in an objective and scalable manner in out-of-hospital settings.…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael Roberts, Jan Stanczuk +15
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missi…