390 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Oncode InstituteNL4 papers
- Radboud University Medical CenterNL2 papers
- Radboud University NijmegenNL2 papers
- The Netherlands Cancer InstituteNL2 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
- Brigham and Women's HospitalUS1 paper
7 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 (…
Dealing with Segmentation Errors in Needle Reconstruction for MRI-Guided Brachytherapy
Vangelis Kostoulas, Arthur Guijt, Ellen M. Kerkhof +3
Brachytherapy involves bringing a radioactive source near tumor tissue using implanted needles. Image-guided brachytherapy planning requires amongst others, the reconstruction of t…
The Trial within Cohorts (TwiCs) study design in oncology: Experience and methodological reflections
Rob Kessels, Anne M. May, Miriam Koopman +1
A Trial within Cohorts (TwiCs) study design is a trial design that uses the infrastructure of an observational cohort study to initiate a randomized trial. Upon cohort enrollment,…
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…
Using Word Embeddings to Examine Gender Bias in Dutch Newspapers, 1950-1990
Melvin Wevers
Contemporary debates on filter bubbles and polarization in public and social media raise the question to what extent news media of the past exhibited biases. This paper specificall…
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…