Oncological reporting of radiology exams

Radiology departments make large amounts of CT scans of the abdomen and the thorax. Reporting those scans is time-consuming and difficult. We develop tools to speed up and improve this process.

Funding

Deep Learning in Medical Image Analysis
Thirona
Studienstiftung des deutschen Volkes
Fraunhofer ICON program
Eurostars PIANO
Europees Fonds voor Regionale Ontwikkeling (EFRO). See press release (in Dutch).

EFRO Oost-Nederland

People

Bram van Ginneken

Professor

Alessa Hering

Assistant Professor

Mathias Prokop

Professor

Matthieu Rutten

Associate Professor, Radiologist

Colin Jacobs

Assistant Professor

Luuk Boulogne

PhD Candidate

Max de Grauw

PhD Candidate

Gabriel Humpire Mamani

PhD Candidate

Ernst Scholten

Radiologist

Weiyi Xie

PhD Candidate

Publications

K. Venkadesh, A. Setio, A. Schreuder, E. Scholten, K. Chung, M. W Wille, Z. Saghir, B. van Ginneken, M. Prokop and C. Jacobs, "Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT.", Radiology, 2021;300(2):438-447.
Abstract DOI PMID Algorithm
A. Hering, S. Hager, J. Moltz, N. Lessmann, S. Heldmann and B. van Ginneken, "CNN-based Lung CT Registration with Multiple Anatomical Constraints", Medical Image Analysis, 2021;72:102139.
Abstract DOI Algorithm Download
W. Xie, C. Jacobs, J. Charbonnier and B. van Ginneken, "Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans", IEEE Transactions on Medical Imaging, 2020;39(8):2664-2675.
Abstract DOI PMID Cited by ~5 Algorithm Download
N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", Medical Image Analysis, 2019;53:142-155.
Abstract DOI PMID arXiv Cited by ~29 Download
G. Humpire Mamani, A. Setio, B. van Ginneken and C. Jacobs, "Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans", Physics in Medicine and Biology, 2018;63(8):085003.
Abstract DOI PMID Cited by ~11
G. Humpire Mamani, J. Bukala, E. Scholten, M. Prokop, B. van Ginneken and C. Jacobs, "Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning", Radiology: Artificial Intelligence, 2020;2(4):e190102.
Abstract DOI PMID Cited by ~1 Algorithm
H. Altun, G. Chlebus, C. Jacobs, H. Meine, B. van Ginneken and H. Hahn, "Feasibility of End-To-End Trainable Two-Stage U-Net for Detection of Axillary Lymph Nodes in Contrast-Enhanced CT Based Scans on Sparse Annotations", Medical Imaging, 2020:113141C.
Abstract DOI
G. Chlebus, A. Schenk, J. Moltz, B. van Ginneken, H. Hahn and H. Meine, "Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing", Nature Scientific Reports, 2018;8(1):15497.
Abstract DOI PMID Cited by ~46