Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. - Friso G. Heslinga; Josien P. W. Pluim; Behdad Dashtbozorg; Tos T. J. M. Berendschot; A. J. H. M. Houben; Ronald M. A. Henry; Mitko Veta (Image Processing, 2019)

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. - Alireza Mehrtash; Mohsen Ghafoorian; Guillaume Pernelle; Alireza Ziaei; Friso G. Heslinga; Kemal Tuncali; Andriy Fedorov; Ron Kikinis; Clare M. Tempany; William M. Wells III; Purang Abolmaesumi; Tina Kapur (IEEE Trans. Medical Imaging, 2019)

Direct classification of type 2 diabetes from retinal fundus images in a population-based sample from the Maastricht study. - Friso G. Heslinga; Josien P. W. Pluim; A. J. H. M. Houben; Miranda T. Schram; Ronald M. A. Henry; Coen D. A. Stehouwer; Marleen J. van Greevenbroek; Tos T. J. M. Berendschot; Mitko Veta (Computer-Aided Diagnosis, 2020)

Value based decision support to prioritize development of innovative technologies for image-guided vascular surgery in the hybrid operating theater. - Friso G. Heslinga; Hendrik Koffijberg; Robert H. Geelkerken; Robbert Meerwaldt; Thijs G. ter Mors; Carine J. M. Doggen; Marjan Hummel (Image-Guided Procedures, 2020)

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks. - Friso G. Heslinga; Mark Alberti; Josien P. W. Pluim; Javier Cabrerizo; Mitko Veta (CoRR, 2020)

Radial U-Net: Improving DMEK Graft Detachment Segmentation in Radial AS-OCT Scans. - Bram M. van der Velden; Mitko Veta; Josien P. W. Pluim; Mark Alberti; Friso G. Heslinga (OMIA@MICCAI, 2021)

Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty. - Friso G. Heslinga; Ruben T. Lucassen; Myrthe A. van den Berg; Luuk van der Hoek; Josien P. W. Pluim; Javier Cabrerizo; Mark Alberti; Mitko Veta (CoRR, 2021)

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. - Ruben T. Lucassen; Mohammad H. Jafari 001; Nicole M. Duggan; Nick Jowkar; Alireza Mehrtash; Chanel E. Fischetti; Denie Bernier; Kira Prentice; Erik P. Duhaime; Mike Jin; Purang Abolmaesumi; Friso G. Heslinga; et al. (IEEE J. Biomed. Health Informatics, 2023)

Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology. - Frank Ruis; Alma M. Liezenga; Friso G. Heslinga; Luca Ballan; Thijs A. Eker; Richard J. M. den Hollander; Martin C. van Leeuwen; Judith Dijk; Wyke Huizinga (CoRR, 2024)