469 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OuluFI13 papers
- Imperial College LondonGB3 papers
- KU LeuvenBE3 papers
- Masaryk UniversityCZ3 papers
- University Medical Center UtrechtNL3 papers
- Broad InstituteUS2 papers
- Centre Inria de SaclayFR2 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR2 papers
- Deutsches Konsortium für Translationale KrebsforschungDE2 papers
- DKFZ-ZMBH AllianceDE2 papers
- Erasmus MCNL2 papers
- European Molecular Biology LaboratoryDE2 papers
5 papers · 1 filter
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal Data
Huy Hoang Nguyen, Matthew B. Blaschko, Simo Saarakkala +1
Deep neural networks are often applied to medical images to automate the problem of medical diagnosis. However, a more clinically relevant question that practitioners usually face…
Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen +1
Accurate prediction of knee osteoarthritis (KOA) progression from structural MRI has a potential to enhance disease understanding and support clinical trials. Prior art focused on…
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks
Zhaodong Sun, Juhani Junttila, Mikko Tulppo +2
Objective: We propose a non-contact approach for atrial fibrillation (AF) detection from face videos. Methods: Face videos, electrocardiography (ECG), and contact photoplethysmogra…
Adaptive Segmentation of Knee Radiographs for Selecting the Optimal ROI in Texture Analysis
Neslihan Bayramoglu, Aleksei Tiulpin, Jukka Hirvasniemi +2
The purposes of this study were to investigate: 1) the effect of placement of region-of-interest (ROI) for texture analysis of subchondral bone in knee radiographs, and 2) the abil…
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation
Egor Panfilov, Aleksei Tiulpin, Stefan Klein +2
Degeneration of articular cartilage (AC) is actively studied in knee osteoarthritis (OA) research via magnetic resonance imaging (MRI). Segmentation of AC tissues from MRI data is…