Publications of Matthieu Rutten

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2024

Papers in international journals

  1. J. van der Graaf, L. Brundel, M. van Hooff, M. de Kleuver, N. Lessmann, B. Maresch, M. Vestering, J. Spermon, B. van Ginneken and M. Rutten, "AI-based lumbar central canal stenosis classification on sagittal MR images is comparable to experienced radiologists using axial images", European Radiology, 2024.
    Abstract DOI PMID
  2. S. Schalekamp, K. van Leeuwen, E. Calli, K. Murphy, M. Rutten, B. Geurts, L. Peters-Bax, B. van Ginneken and M. Prokop, "Performance of AI to exclude normal chest radiographs to reduce radiologists' workload", European Radiology, 2024.
    Abstract DOI PMID
  3. N. Hendrix, W. Hendrix, B. Maresch, J. van Amersfoort, T. Oosterveld-Bonsma, S. Kolderman, M. Vestering, S. Zielinski, K. Rutten, J. Dammeier, L. Ong, B. van Ginneken and M. Rutten, "Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs", European Radiology, 2024.
    Abstract DOI PMID
  4. J. van der Graaf, M. van Hooff, C. Buckens, M. Rutten, J. van Susante, R. Kroeze, M. de Kleuver, B. van Ginneken and N. Lessmann, "Lumbar spine segmentation in MR images: a dataset and a public benchmark", Scientific Data, 2024;11(1):264.
    Abstract DOI PMID Cited by ~5
  5. J. van der Graaf, M. van Hooff, B. van Ginneken, M. Huisman, M. Rutten, D. Lamers, N. Lessmann and M. de Kleuver, "Development and validation of AI-based automatic measurement of coronal Cobb angles in degenerative scoliosis using sagittal lumbar MRI", European Radiology, 2024:1-10.
    Abstract DOI PMID
  6. K. van Leeuwen, S. Schalekamp, M. Rutten, M. Huisman, C. Schaefer-Prokop, M. de Rooij, B. van Ginneken, B. Maresch, B. Geurts, C. van Dijke, E. Laupman-Koedam, E. Hulleman, E. Verhoeff, E. Meys, F. Mohamed Hoesein, F. ter Brugge, F. van Hoorn, F. van der Wel, I. van den Berk, J. Luyendijk, J. Meakin, J. Habets, J. Verbeke, J. Nederend, K. Meys, L. Deden, L. Langezaal, M. Nasrollah, M. Meij, M. Boomsma, M. Vermeulen, M. Vestering, O. Vijlbrief, P. Algra, S. Algra, S. Bollen, T. Samson, Y. von Brucken Fock, B. Maresch, B. Geurts, C. van Dijke, E. Laupman-Koedam, E. Hulleman, E. Verhoeff, E. Meys, F. Mohamed Hoesein, F. ter Brugge, F. van Hoorn, F. van der Wel, I. van den Berk, J. Luyendijk, J. Meakin, J. Habets, J. Verbeke, J. Nederend, K. Meys, L. Deden, L. Langezaal, M. Nasrollah, M. Meij, M. Boomsma, M. Vermeulen, M. Vestering, O. Vijlbrief, P. Algra, S. Algra, S. Bollen, T. Samson, Y. von Brucken Fock and F. the Group, "Comparison of Commercial AI Software Performance for Radiograph Lung Nodule Detection and Bone Age Prediction", Radiology, 2024;310.
    Abstract DOI PMID Cited by ~3
  7. A. Pfob, T. He, L. Cai, R. Barr, V. Duda, Z. Alwafai, C. Balleyguier, D. Clevert, S. Fastner, C. Gomez, M. Goncalo, I. Gruber, M. Hahn, A. Hennigs, P. Kapetas, S. Lu, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, B. Schaefgen, A. Stieber, R. Togawa, M. Tozaki, S. Wojcinski, C. Xu, G. Rauch, J. Heil, C. Sidey-Gibbons and M. Golatta, "Abstract PO3-07-02: Radiomics Models for B-mode Breast Ultrasound and Strain Elastography to improve Breast Cancer Diagnosis (INSPiRED 005): An International, Multicenter Analysis", Cancer Research, 2024;84:PO3-07-02-PO3-07-02.
    Abstract DOI

PhD theses

  1. W. Hendrix, "Artificial Intelligence for Detection of Lung and Airway Nodules in Clinical Chest CT scans", PhD thesis, 2024.
    Abstract Url
  2. N. Hendrix, "Artificial Intelligence for Computer Aided Diagnosis of Scaphoid Fractures and Associated Instability on Conventional Radiography", PhD thesis, 2024.
    Abstract Url