activity
20202022
most citedCHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

831 citations · 833 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2022

Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss

Philipp Ernst, Suhita Ghosh, Georg Rose +1

This paper proposes an extension to the Dual Branch Prior-Net for sparse view interventional CBCT reconstruction incorporating a high quality planning scan. An additional head lear…

eess.IV2022★ 1 cited

Primal-Dual UNet for Sparse View Cone Beam Computed Tomography Volume Reconstruction

Philipp Ernst, Soumick Chatterjee, Georg Rose +1

In this paper, the Primal-Dual UNet for sparse view CT reconstruction is modified to be applicable to cone beam projections and perform reconstructions of entire volumes instead of…

eess.IV2021★ 1 cited

Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction

Philipp Ernst, Soumick Chatterjee, Georg Rose +2

Computed tomography and magnetic resonance imaging are two widely used clinical imaging modalities for non-invasive diagnosis. However, both of these modalities come with certain p…

eess.IV2021

Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images

Jiahua Xu, Philipp Ernst, Tung Lung Liu +1

Pulmonary cancer is one of the most commonly diagnosed and fatal cancers and is often diagnosed by incidental findings on computed tomography. Automated pulmonary nodule detection…

eess.IV2020★ 831 cited

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24

Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have intr…