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

EFRO Oost-Nederland

People

Nikolas Lessmann

Nikolas Lessmann

Assistant Professor

Colin Jacobs

Colin Jacobs

Assistant Professor

Mathias Prokop

Mathias Prokop

Professor

Radboudumc

Matthieu Rutten

Matthieu Rutten

Associate Professor and Radiologist

Luuk Boulogne

Luuk Boulogne

PhD Candidate

Cheryl Sital

Cheryl Sital

PhD Candidate

Michel Kok

Michel Kok

PhD Candidate

Alessa Hering

Alessa Hering

PhD Candidate

Grzegorz Chlebus

Grzegorz Chlebus

PhD Candidate

Ernst Scholten

Ernst Scholten

Radiologist

Publications

  • 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/PDF 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/PDF DOI Cited by ~1 Algorithm