390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The Netherlands Cancer InstituteNL6 papers
- Dutch Cancer SocietyNL4 papers
- Erasmus MCNL2 papers
- Erasmus University RotterdamNL2 papers
- Radboud University NijmegenNL2 papers
- University Medical Center GroningenNL2 papers
- Alberta Machine Intelligence InstituteCA1 paper
- American College of RadiologyUS1 paper
- Aminu Kano Teaching HospitalNG1 paper
- Asan Medical CenterKR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Baylor College of MedicineUS1 paper
9 papers
XPPG-PCA: Reference-free automatic speech severity evaluation with principal components
Bence Mark Halpern, Thomas B. Tienkamp, Teja Rebernik +5
Reliably evaluating the severity of a speech pathology is crucial in healthcare. However, the current reliance on expert evaluations by speech-language pathologists presents severa…
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
Ashkan Moradi, Fadila Zerka, Joeran S. Bosma +7
Purpose: To develop and optimize a federated learning (FL) framework across multiple clients for biparametric MRI prostate segmentation and clinically significant prostate cancer (…
Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
Melda Yeghaian, Zuhir Bodalal, Daan van den Broek +4
Purpose: Immunotherapies have revolutionized the landscape of cancer treatments. However, our understanding of response patterns in advanced cancers treated with immunotherapy rema…
Multi-task Learning Approach for Intracranial Hemorrhage Prognosis
Miriam Cobo, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda +3
Prognosis after intracranial hemorrhage (ICH) is influenced by a complex interplay between imaging and tabular data. Rapid and reliable prognosis are crucial for effective patient…
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
Wentao Liu, Tong Tian, Lemeng Wang +11
The automated segmentation of Intracranial Arteries (IA) in Digital Subtraction Angiography (DSA) plays a crucial role in the quantification of vascular morphology, significantly c…
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
Sarthak Pati, Ujjwal Baid, Brandon Edwards +276
Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…
Stem cell lineage survival as a noisy competition for niche access
Bernat Corominas-Murtra, Colinda L. G. J. Scheele, Kasumi Kishi +4
Understanding to what extent stem cell potential is a cell-intrinsic property, or an emergent behavior coming from global tissue dynamics and geometry, is a key outstanding questio…
Generalized simultaneous component analysis of binary and quantitative data
Yipeng Song, Johan A. Westerhuis, Nanne Aben +3
In the current era of systems biological research there is a need for the integrative analysis of binary and quantitative genomics data sets measured on the same objects. One stand…
Network-based multivariate gene-set testing
Nicolas Städler, Sach Mukherjee
The identification of predefined groups of genes ("gene-sets") which are differentially expressed between two conditions ("gene-set analysis", or GSA) is a very popular analysis in…