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20192022
most citedQuantitative Error Prediction of Medical Image Registration using Regression Forests

38 citations · 65 across the 10 of their papers we have counts for

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eess.IV2021

Prediction of Lung CT Scores of Systemic Sclerosis by Cascaded Regression Neural Networks

Jingnan Jia, Marius Staring, Irene Hernández-Girón +3

Visually scoring lung involvement in systemic sclerosis from CT scans plays an important role in monitoring progression, but its labor intensiveness hinders practical application.…

eess.IV2021

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…

eess.IV2021

Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

Jingnan Jia, Zhiwei Zhai, M. Els Bakker +3

Pulmonary lobe segmentation is an important preprocessing task for the analysis of lung diseases. Traditional methods relying on fissure detection or other anatomical features, suc…

eess.IV20212 cited

ASL to PET Translation by a Semi-supervised Residual-based Attention-guided Convolutional Neural Network

Sahar Yousefi, Hessam Sokooti, Wouter M. Teeuwisse +4

Positron Emission Tomography (PET) is an imaging method that can assess physiological function rather than structural disturbances by measuring cerebral perfusion or glucose consum…

eess.IV2020

Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention Unet (DDAUnet)

Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy +5

Manual or automatic delineation of the esophageal tumor in CT images is known to be very challenging. This is due to the low contrast between the tumor and adjacent tissues, the an…

eess.IV20208 cited

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…