8 citations · 10 across the 7 of their papers we have counts for
7 papers
Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation
Zhan Xiong, Junling He, Pieter Valkema +4
Renal biopsies are the gold standard for the diagnosis of kidney diseases. Lesion scores made by renal pathologists are semi-quantitative and exhibit high inter-observer variabilit…
Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning
Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek +1
Starting from 2021, more demanding emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently us…
Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data
Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek +2
The shipping industry is one of the strongest anthropogenic emitters of -- substance harmful both to human health and the environment. The rapid growth of the…
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
Mohamed S. Elmahdy, Laurens Beljaards, Sahar Yousefi +4
Medical image registration and segmentation are two of the most frequent tasks in medical image analysis. As these tasks are complementary and correlated, it would be beneficial to…
A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Laurens Beljaards, Mohamed S. Elmahdy, Fons Verbeek +1
Recently, joint registration and segmentation has been formulated in a deep learning setting, by the definition of joint loss functions. In this work, we investigate joining these…
Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion
Yuanhao Guo, Fons J. Verbeek, Ge Yang
Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion. Conventional methods require either accurate key point matching…
Creating a new Ontology: a Modular Approach
Julia Dmitrieva, Fons J. Verbeek
Creating a new Ontology: a Modular Approach