Publications of Matthieu Rutten

all all years 2024 2023 2022 2021 2020 2019 2018 2017

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
  8. W. Hendrix, N. Hendrix, E. Scholten, M. Mourits, J. Trap-de Jong, S. Schalekamp, M. Korst, M. van Leuken, B. van Ginneken, M. Prokop, M. Rutten and C. Jacobs, "Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans", Communications Medicine, 2023;3(1):156.
    Abstract DOI PMID Algorithm
  9. W. Hendrix, M. Rutten, N. Hendrix, B. van Ginneken, C. Schaefer-Prokop, E. Scholten, M. Prokop and C. Jacobs, "Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals", European Radiology, 2023;33:8279-8288.
    Abstract DOI PMID Cited by ~8
  10. R. Togawa, A. Pfob, C. Büsch, Z. Alwafai, C. Balleyguier, D. Clevert, V. Duda, S. Fastner, M. Goncalo, C. Gomez, I. Gruber, M. Hahn, A. Hennigs, P. Kapetas, J. Nees, R. Ohlinger, F. Riedel, M. Rutten, B. Schäfgen, A. Stieber, M. Tozaki, S. Wojcinski, G. Rauch, J. Heil, R. Barr and M. Golatta, "Potential of Lesion-to-Fat Elasticity Ratio Measured by Shear Wave Elastography to Reduce Benign Biopsies in BI-RADS 4 Breast Lesions", Journal of Ultrasound in Medicine, 2023;42:1729-1736.
    Abstract DOI PMID Cited by ~1
  11. N. Hendrix, W. Hendrix, K. van Dijke, B. Maresch, M. Maas, S. Bollen, A. Scholtens, M. de Jonge, L. Ong, B. van Ginneken and M. Rutten, "Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist", European Radiology, 2023;33:1575-1588.
    Abstract DOI Cited by ~8
  12. K. Leeuwen, M. Becks, D. Grob, F. de Lange, J. Rutten, S. Schalekamp, M. Rutten, B. van Ginneken, M. de Rooij and F. Meijer, "AI-support for the detection of intracranial large vessel occlusions: One-year prospective evaluation", Heliyon, 2023;9(8).
    Abstract DOI
  13. K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "Clinical use of artificial intelligence products for radiology in the Netherlands between 2020 and 2022", European Radiology, 2023.
    Abstract DOI Cited by ~5
  14. A. Pfob, C. Sidey-Gibbons, 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 and M. Golatta, "Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international, multicentre analysis", European Journal of Cancer, 2022;177:1-14.
    Abstract DOI PMID Cited by ~6
  15. S. de Roo, J. Teunissen, M. Rutten and B. van der Heijden, "Tourniquet Does Not Affect Long-term Outcomes in Minor Hand Surgery: A Randomized Controlled Trial", Plastic and Reconstructive Surgery - Global Open, 2022;10:e4495.
    Abstract DOI PMID
  16. A. Pfob, C. Sidey-Gibbons, 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, M. Schuessler, A. Stieber, R. Togawa, M. Tozaki, S. Wojcinski, C. Xu, G. Rauch, J. Heil and M. Golatta, "The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis", European Radiology, 2022;32:4101-4115.
    Abstract DOI PMID Cited by ~9
  17. M. Golatta, A. Pfob, C. Büsch, T. Bruckner, Z. Alwafai, C. Balleyguier, D. Clevert, V. Duda, M. Goncalo, I. Gruber, M. Hahn, P. Kapetas, R. Ohlinger, M. Rutten, R. Togawa, M. Tozaki, S. Wojcinski, G. Rauch, J. Heil and R. Barr, "The potential of combined shear wave and strain elastography to reduce unnecessary biopsies in breast cancer diagnostics - An international, multicentre trial", European Journal of Cancer, 2022;161:1-9.
    Abstract DOI PMID Cited by ~24
  18. K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "How does artificial intelligence in radiology improve efficiency and health outcomes?", Pediatric Radiology, 2022;52(11):2087-2093.
    Abstract DOI PMID Cited by ~70
  19. M. Golatta, A. Pfob, C. Büsch, T. Bruckner, Z. Alwafai, C. Balleyguier, D. Clevert, V. Duda, M. Goncalo, I. Gruber, M. Hahn, P. Kapetas, R. Ohlinger, M. Rutten, M. Tozaki, S. Wojcinski, G. Rauch, J. Heil and R. Barr, "The Potential of Shear Wave Elastography to Reduce Unnecessary Biopsies in Breast Cancer Diagnosis: An International, Diagnostic, Multicenter Trial", Ultraschall in der Medizin - European Journal of Ultrasound, 2021;44:162-168.
    Abstract DOI PMID Cited by ~13
  20. A. Turan, S. Jenniskens, J. Martens, M. Rutten, L. Yo, M. van Strijen, J. Drenth, P. Siersema and E. van Geenen, "Complications of percutaneous transhepatic cholangiography and biliary drainage, a multicenter observational study", Abdominal Radiology, 2021;47:3338-3344.
    Abstract DOI PMID Cited by ~11
  21. K. van Leeuwen, S. Schalekamp, M. Rutten, B. van Ginneken and M. de Rooij, "Artificial intelligence in radiology: 100 commercially available products and their scientific evidence", European Radiology, 2021;31:3797-3804.
    Abstract DOI PMID Cited by ~172
  22. S. Veenhuizen, S. de Lange, M. Bakker, R. Pijnappel, R. Mann, E. Monninkhof, M. Emaus, P. de Koekkoek-Doll, R. Bisschops, M. Lobbes, M. de Jong, K. Duvivier, J. Veltman, N. Karssemeijer, H. de Koning, P. van Diest, W. Mali, M. van den Bosch, C. van Gils, W. Veldhuis, C. van Gils, M. Bakker, S. de Lange, S. Veenhuizen, W. Veldhuis, R. Pijnappel, M. Emaus, P. Peeters, E. Monninkhof, M. Fernandez-Gallardo, W. Mali, M. van den Bosch, P. van Diest, R. Mann, R. Mus, M. Imhof-Tas, N. Karssemeijer, C. Loo, P. de Koekkoek-Doll, H. Winter-Warnars, R. Bisschops, M. Kock, R. Storm, P. van der Valk, M. Lobbes, S. Gommers, M. Lobbes, M. de Jong, M. Rutten, K. Duvivier, P. de Graaf, J. Veltman, R. Bourez, H. de Koning and F. the Group, "Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial", Radiology, 2021;299:278-286.
    Abstract DOI PMID Cited by ~63
  23. E. Calli, K. Murphy, S. Kurstjens, T. Samson, R. Herpers, H. Smits, M. Rutten and B. van Ginneken, "Deep learning with robustness to missing data: A novel approach to the detection of COVID-19", PLoS One, 2021;16(7):e0255301.
    Abstract DOI Download Cited by ~3
  24. N. Hendrix, E. Scholten, B. Vernhout, S. Bruijnen, B. Maresch, M. de Jong, S. Diepstraten, S. Bollen, S. Schalekamp, M. de Rooij, A. Scholtens, W. Hendrix, T. Samson, L. Sharon Ong, E. Postma, B. van Ginneken and M. Rutten, "Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs", Radiology: Artificial Intelligence, 2021:e200260.
    Abstract DOI Algorithm Download Cited by ~19
  25. K. van Leeuwen, F. Meijer, S. Schalekamp, M. Rutten, E. van Dijk, B. van Ginneken, T. Govers and M. Rooij, "Cost - effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment", Insights into Imaging, 2021;12:133.
    Abstract DOI Cited by ~18
  26. T. Hebar, Z. Snoj, L. Sconfienza, F. Vanhoenacker, M. Shahabpour, V. Salapura, A. Isaac, E. Drakonaki, Y. Vasilev, J. Drape, M. Adriaensen, K. Friedrich, G. Guglielmi, A. Vieira, H. Sanal, L. Kerttula, J. Hellund, J. Nagy, A. Heuck, M. Rutten, M. Tzalonikou, U. Hansen, J. Niemunis-Sawicka, F. Becce, E. Silvestri, E. Juan and K. Wörtler, "Present Status of Musculoskeletal Radiology in Europe: International Survey by the European Society of Musculoskeletal Radiology", Seminars in Musculoskeletal Radiology, 2020;24:323-330.
    Abstract DOI PMID Cited by ~12
  27. K. Murphy, H. Smits, A. Knoops, M. Korst, T. Samson, E. Scholten, S. Schalekamp, C. Schaefer-Prokop, R. Philipsen, A. Meijers, J. Melendez, B. van Ginneken and M. Rutten, "COVID-19 on the Chest Radiograph: A Multi-Reader Evaluation of an AI System", Radiology, 2020;296:E166-E172.
    Abstract DOI PMID Cited by ~154
  28. J. Luiten, B. Korte, A. Voogd, W. Vreuls, E. Luiten, L. Strobbe, M. Rutten, M. Plaisier, P. Lohle, M. Hooijen, V. Tjan-Heijnen and L. Duijm, "Trends in frequency and outcome of high-risk breast lesions at core needle biopsy in women recalled at biennial screening mammography, a multiinstitutional study", International Journal of Cancer, 2019;145:2720-2727.
    Abstract DOI PMID Cited by ~10
  29. S. de Lange, M. Bakker, E. Monninkhof, P. Peeters, P. de Koekkoek-Doll, R. Mann, M. Rutten, R. Bisschops, J. Veltman, K. Duvivier, M. Lobbes, H. de Koning, N. Karssemeijer, R. Pijnappel, W. Veldhuis and C. van Gils, "Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts", Clinical Radiology, 2018;73(8):759e1-759e9.
    Abstract DOI PMID Cited by ~21
  30. J. van Zelst, T. Tan, P. Clauser, A. Domingo, M. Dorrius, D. Drieling, M. Golatta, F. Gras, M. de Jong, R. Pijnappel, M. Rutten, N. Karssemeijer and R. Mann, "Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts", European Radiology, 2018;28(7):2996-3006.
    Abstract DOI PMID Cited by ~52
  31. J. van Zelst, R. Mus, G. Woldringh, M. Rutten, P. Bult, S. Vreemann, M. de Jong, N. Karssemeijer, N. Hoogerbrugge and R. Mann, "Surveillance of Women with the BRCA1 or BRCA2 Mutation by Using Biannual Automated Breast US, MR Imaging, and Mammography", Radiology, 2017;285(2):376-388.
    Abstract DOI PMID Cited by ~55
  32. J. van Zelst, M. Balkenhol, T. Tan, M. Rutten, M. Imhof-Tas, P. Bult, N. Karssemeijer and R. Mann, "Sonographic Phenotypes of Molecular Subtypes of Invasive Ductal Cancer in Automated 3-D Breast Ultrasound", Ultrasound in Medicine and Biology, 2017;43(9):1820-1828.
    Abstract DOI PMID Cited by ~9

Preprints

  1. 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", arXiv:2306.12217, 2023.
    Abstract arXiv Cited by ~5

Abstracts

  1. K. van Leeuwen, M. de Rooij, S. Schalekamp, B. van Ginneken and M. Rutten, "The rise of artificial intelligence solutions in radiology departments in the Netherlands", European Congress of Radiology, 2022.
    Abstract
  2. K. van Leeuwen, M. Becks, S. Schalekamp, B. van Ginneken, M. Rutten, M. de Rooij and F. Meijer, "Real-world evaluation of artificial intelligence software for cerebral large vessel occlusion detection in CT angiography", European Congress of Radiology, 2022.
    Abstract
  3. K. van Leeuwen, M. Rutten, S. Schalekamp, M. de Rooij and B. van Ginneken, "Clinical use of artificial intelligence in radiology departments in the Netherlands: a survey", European Congress of Radiology, 2021.
    Abstract
  4. K. van Leeuwen, F. Meijer, S. Schalekamp, M. Rutten, E. van Dijk, B. van Ginneken, T. Govers and M. de Rooij, "Artificial Intelligence in Acute Stroke: an Early Health Technology Assessment of Vessel Occlusion Detection on Computed Tomography", European Congress of Radiology, 2021.
    Abstract
  5. K. van Leeuwen, M. de Rooij, M. Rutten, S. Schalekamp and B. van Ginneken, "Commercial Artificial Intelligence Solutions For Radiology: A Market Update", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  6. K. van Leeuwen, M. de Rooij, M. Rutten, B. van Ginneken and S. Schalekamp, "Performance Of A Commercial Software Package For Lung Nodule Detection On Chest Radiographs Compared With 8 Expert Readers", Annual Meeting of the Radiological Society of North America, 2021.
    Abstract
  7. W. Hendrix, N. Hendrix, M. Prokop, E. Scholten, B. Van Ginneken, M. Rutten and C. Jacobs, "Trends in the Incidence of Pulmonary Nodules in Chest Computed Tomography: 10-Year Results from Two Dutch Hospitals", European Congress of Radiology, 2021.
    Abstract DOI
  8. K. van Leeuwen, S. Schalekamp, M. Rutten, B. van Ginneken and M. de Rooij, "Scientific Evidence for 100 Commercially Available Artificial Intelligence Tools for Radiology: A Systematic Review", Annual Meeting of the Radiological Society of North America, 2020.
    Abstract

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
  3. K. van Leeuwen, "Validation and implementation of commercial artificial intelligence software for radiology", PhD thesis, 2023.
    Abstract Url