Publications of Nikolas Lessmann

all all years 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2013

Papers in international journals

  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", Scientific Data, 2024;11(1):264.
    Abstract DOI PMID Cited by ~5
  2. 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
  3. J. van der Graaf, R. Kroeze, C. Buckens, N. Lessmann and M. van Hooff, "MRI image features with an evident relation to low back pain: a narrative review", European Spine Journal, 2023:1-12.
    Abstract DOI
  4. Z. Zhai, S. van Velzen, N. Lessmann, N. Planken, T. Leiner and I. Isgum, "Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation", Frontiers in Cardiovascular Medicine, 2022;9.
    Abstract DOI PMID Cited by ~1
  5. C. de Vente, L. Boulogne, K. Venkadesh, C. Sital, N. Lessmann, C. Jacobs, C. Sánchez and B. van Ginneken, "Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison", IEEE Transactions on Artificial Intelligence, 2022;3(2):129-138.
    Abstract DOI PMID Download Cited by ~19
  6. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, M. van den Heuvel, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility", European Respiratory Journal, 2022;59(5):2101613.
    Abstract DOI PMID Download Cited by ~3
  7. M. Huisman and N. Lessmann, "Automatic Brand Identification of Orthopedic Implants from Radiographs: Ready for the Next Step?", Radiology: Artificial Intelligence, 2022;4(2):e220008.
    Abstract DOI
  8. J. Noothout, N. Lessmann, M. Eede, L. van Harten, E. Sogancioglu, F. Heslinga, M. Veta, B. van Ginneken and I. Isgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation", Journal of Medical Imaging, 2022.
    Abstract DOI Cited by ~8
  9. M. Dekker, F. Waissi, M. Silvis, J. Bennekom, A. Schoneveld, R. de Winter, I. Isgum, N. Lessmann, B. Velthuis, G. Pasterkamp, A. Mosterd, L. Timmers and D. de Kleijn, "High Levels of Osteoprotegerin Are Associated with Coronary Artery Calcification in Patients Suspected of a Chronic Coronary Syndrome", Scientific Reports, 2021;11(1):18946.
    Abstract DOI PMID Algorithm Cited by ~10
  10. B. de Vos, N. Lessmann, P. de Jong and I. Isgum, "Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT", Radiology: Cardiothoracic Imaging, 2021;3(2):e190219.
    Abstract DOI PMID Download Cited by ~7
  11. R. Gal, S. van Velzen, M. Hooning, M. Emaus, F. van der Leij, M. Gregorowitsch, E. Blezer, S. Gernaat, N. Lessmann, M. Sattler, T. Leiner, P. de Jong, A. Teske, J. Verloop, J. Penninkhof, I. Vaartjes, H. Meijer, J. van Tol-Geerdink, J. Pignol, D. van den Bongard, I. Isgum and H. Verkooijen, "Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer", JAMA Oncology, 2021;7(7):1024-1032.
    Abstract DOI PMID Algorithm Download Cited by ~31
  12. A. Schreuder, C. Jacobs, N. Lessmann, M. Broeders, M. Silva, I. Isgum, P. de Jong, N. Sverzellati, M. Prokop, U. Pastorino, C. Schaefer-Prokop and B. van Ginneken, "Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening", European Respiratory Journal, 2021;58(3):2003386.
    Abstract DOI PMID Cited by ~6
  13. J. Bartstra, F. Draaisma, S. Zwakenberg, N. Lessmann, J. Wolterink, Y. van der Schouw, P. de Jong and J. Beulens, "Six months vitamin K treatment does not affect systemic arterial calcification or bone mineral density in diabetes mellitus 2", European Journal of Nutrition, 2021;60:1691-1699.
    Abstract DOI PMID Download Cited by ~27
  14. N. Lessmann, C. Sánchez, L. Beenen, L. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. van Everdingen, P. Gerke, B. Geurts, H. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021;298(1):E18-E28.
    Abstract DOI PMID Algorithm Download Cited by ~112
  15. 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 Cited by ~41
  16. A. Sekuboyina, M. Husseini, A. Bayat, M. Loffler, H. Liebl, H. Li, G. Tetteh, J. Kukacka, C. Payer, D. Stern, M. Urschler, M. Chen, D. Cheng, N. Lessmann, Y. Hu, T. Wang, D. Yang, D. Xu, F. Ambellan, T. Amiranashvili, M. Ehlke, H. Lamecker, S. Lehnert, M. Lirio, N. de Olaguer, H. Ramm, M. Sahu, A. Tack, S. Zachow, T. Jiang, X. Ma, C. Angerman, X. Wang, K. Brown, A. Kirszenberg, E. Puybareau, D. Chen, Y. Bai, B. Rapazzo, T. Yeah, A. Zhang, S. Xu, F. Hou, Z. He, C. Zeng, Z. Xiangshang, X. Liming, T. Netherton, R. Mumme, L. Court, Z. Huang, C. He, L. Wang, S. Ling, L. Huynh, N. Boutry, R. Jakubicek, J. Chmelik, S. Mulay, M. Sivaprakasam, J. Paetzold, S. Shit, I. Ezhov, B. Wiestler, B. Glocker, A. Valentinitsch, M. Rempfler, B. Menze and J. Kirschke, "VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images", Medical Image Analysis, 2021;73:102166.
    Abstract DOI Download Cited by ~147
  17. C. van 't Klooster, H. Nathoe, J. Hjortnaes, M. Bots, I. Isgum, N. Lessmann, Y. van der Graaf, T. Leiner and F. Visseren, "Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease", International Journal of Cardiology: Heart and Vasculature, 2020;27:100499.
    Abstract DOI PMID Cited by ~6
  18. S. van Velzen, N. Lessmann, B. Velthuis, I. Bank, D. van den Bongard, T. Leiner, P. de Jong, W. Veldhuis, A. Correa, J. Terry, J. Carr, M. Viergever, H. Verkooijen and I. Išgum, "Deep learning for automatic calcium scoring in CT: Validation using multiple cardiac CT and chest CT protocols", Radiology, 2020;295(1):66-79.
    Abstract DOI PMID Cited by ~136
  19. M. Dekker, F. Waissi, I. Bank, N. Lessmann, I. Išgum, B. Velthuis, A. Scholtens, G. Leenders, G. Pasterkamp, D. de Kleijn, L. Timmers and A. Mosterd, "Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease", International Journal of Cardiology: Heart and Vasculature, 2020;26:100434.
    Abstract DOI PMID Cited by ~14
  20. C. Celeng, R. Takx, N. Lessmann, P. Maurovich-Horvat, T. Leiner, I. Išgum and P. de Jong, "The association between marital status, coronary computed tomography imaging biomarkers, and mortality in a lung cancer screening population", Journal of Thoracic Imaging, 2020;35:204-209.
    Abstract DOI PMID Cited by ~8
  21. N. Khalili, N. Lessmann, E. Turk, N. Claessens, R. de Heus, T. Kolk, M. Viergever, M. Benders and I. Išgum, "Automatic brain tissue segmentation in fetal MRI using convolutional neural networks", Magnetic Resonance Imaging, 2019;64:77-89.
    Abstract DOI PMID Cited by ~91
  22. 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 Download Cited by ~182
  23. N. Lessmann, P. de Jong, C. Celeng, R. Takx, M. Viergever, B. van Ginneken and I. Išgum, "Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers", JACC Cardiovascular Imaging, 2019;12:1808-1817.
    Abstract DOI PMID Download Cited by ~22
  24. M. Emaus, I. Išgum, S. van Velzen, H. van den Bongard, S. Gernaat, N. Lessmann, M. Sattler, A. Teske, J. Penninkhof, H. Meijer, J. Pignol and H. Verkooijen, "Bragatston study protocol: a multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer", BMJ Open, 2019;9:e028752.
    Abstract DOI Cited by ~14
  25. B. de Vos, J. Wolterink, T. Leiner, P. de Jong, N. Lessmann and I. Isgum, "Direct automatic coronary calcium scoring in cardiac and chest CT", IEEE Transactions on Medical Imaging, 2019;38:2127-38.
    Abstract DOI Cited by ~76
  26. N. Lessmann, B. van Ginneken, M. Zreik, P. de Jong, B. de Vos, M. Viergever and I. Išgum, "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging, 2018;37(2):615-625.
    Abstract DOI PMID arXiv Cited by ~171
  27. J. Sprem, B. de Vos, N. Lessmann, P. de Jong, M. Viergever and I. Isgum, "Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography", Journal of Medical Imaging, 2018;5:044007.
    Abstract DOI
  28. J. Sprem, B. de Vos, N. Lessmann, R. van Hamersvelt, M. Greuter, P. de Jong, T. Leiner, M. Viergever and I. Isgum, "Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images", PLoS One, 2018;13:e0209318.
    Abstract DOI
  29. M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Išgum, "Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis", Medical Image Analysis, 2018;44:72-85.
    Abstract DOI
  30. S. Gernaat, S. van Velzen, V. Koh, M. Emaus, I. Išgum, N. Lessmann, S. Moes, A. Jacobson, P. Tan, D. Grobbee, D. van den Bongard, J. Tang and H. Verkooijen, "Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients", Radiotherapy and Oncology, 2018;127:487-492.
    Abstract DOI
  31. E. Pompe, P. de Jong, D. Lynch, N. Lessmann, I. Išgum, B. van Ginneken, J. Lammers and F. Mohamed Hoesein, "Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial", European Respiratory Journal, 2017;49(4):1601814.
    Abstract DOI PMID Download Cited by ~20
  32. N. Lessmann, D. Dromann and A. Schlaefer, "Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy", International Journal of Computer Assisted Radiology and Surgery, 2013;9:199-209.
    Abstract DOI

Preprints

  1. G. Humpire-Mamani, C. Jacobs, M. Prokop, B. van Ginneken and N. Lessmann, "Transfer learning from a sparsely annotated dataset of 3D medical images", arXiv:2311.05032, 2023.
    Abstract DOI arXiv
  2. G. Mamani, N. Lessmann, E. Scholten, M. Prokop, C. Jacobs and B. van Ginneken, "Kidney abnormality segmentation in thorax-abdomen CT scans", arXiv:2309.03383, 2023.
    Abstract DOI arXiv
  3. 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
  4. A. Hering, L. Hansen, T. Mok, A. Chung, H. Siebert, S. Hager, A. Lange, S. Kuckertz, S. Heldmann, W. Shao, S. Vesal, M. Rusu, G. Sonn, T. Estienne, M. Vakalopoulou, L. Han, Y. Huang, P. Yap, M. Brudfors, Y. Balbastre, S. Joutard, M. Modat, G. Lifshitz, D. Raviv, J. Lv, Q. Li, V. Jaouen, D. Visvikis, C. Fourcade, M. Rubeaux, W. Pan, Z. Xu, B. Jian, F. Benetti, M. Wodzinski, N. Gunnarsson, J. Sjolund, D. Grzech, H. Qiu, Z. Li, A. Thorley, J. Duan, C. Grossbrohmer, A. Hoopes, I. Reinertsen, Y. Xiao, B. Landman, Y. Huo, K. Murphy, N. Lessmann, B. van Ginneken, A. Dalca and M. Heinrich, "Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning", arXiv preprint arXiv:2112.04489, 2021.
    Abstract arXiv Cited by ~86
  5. N. Lessmann and B. van Ginneken, "Random smooth gray value transformations for cross modality learning with gray value invariant networks", arXiv:2003.06158, 2020.
    Abstract arXiv
  6. A. Sekuboyina, M. Husseini, A. Bayat, M. Löffler, H. Liebl, H. Li, G. Tetteh, J. Kukačka, C. Payer, D. Stern, M. Urschler, M. Chen, D. Cheng, N. Lessmann, Y. Hu, T. Wang, D. Yang, D. Xu, F. Ambellan, T. Amiranashvili, M. Ehlke, H. Lamecker, S. Lehnert, M. Lirio, N. de Olaguer, H. Ramm, M. Sahu, A. Tack, S. Zachow, T. Jiang, X. Ma, C. Angerman, X. Wang, K. Brown, A. Kirszenberg, É. Puybareau, D. Chen, Y. Bai, B. Rapazzo, T. Yeah, A. Zhang, S. Xu, F. Hou, Z. He, C. Zeng, Z. Xiangshang, X. Liming, T. Netherton, R. Mumme, L. Court, Z. Huang, C. He, L. Wang, S. Ling, L. Huynh, N. Boutry, R. Jakubicek, J. Chmelik, S. Mulay, M. Sivaprakasam, J. Paetzold, S. Shit, I. Ezhov, B. Wiestler, B. Glocker, A. Valentinitsch, M. Rempfler, B. Menze and J. Kirschke, "VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images", arXiv:2001.09193, 2020.
    Abstract DOI arXiv Cited by ~33

Papers in conference proceedings

  1. S. van Velzen, M. Zreik, N. Lessmann, M. Viergever, P. de Jong, H. Verkooijen and I. Išgum, "Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning", Medical Imaging, 2019.
    Abstract DOI
  2. N. Lessmann, J. Wolterink, M. Zreik, M. Viergever, B. van Ginneken and I. Isgum, "Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network", Medical Imaging with Deep Learning, 2019.
    Abstract arXiv Cited by ~1
  3. N. Lessmann, B. van Ginneken, P. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation", Medical Imaging with Deep Learning, 2018.
    Abstract Url Cited by ~190
  4. N. Lessmann, B. van Ginneken and I. Išgum, "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", Medical Imaging, 2018;10574.
    Abstract DOI Cited by ~32
  5. N. Lessmann, I. Išgum, A. Setio, B. de Vos, F. Ciompi, P. de Jong, M. Oudkerk, W. Mali, M. Viergever and B. van Ginneken, "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT", Medical Imaging, 2016;9785:978511-1 - 978511-6.
    Abstract DOI Cited by ~47

Abstracts

  1. J. van der Graaf, M. van Hooff, C. Buckens and N. Lessmann, "Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation", Medical Imaging 2022: Image Processing, 2022;12032:909-913.
    Abstract DOI Cited by ~1
  2. C. van 't Klooster, H. Nathoe, J. Hjortnaes, M. Bots, I. Isgum, N. Lessmann, Y. van der Graaf, T. Leiner and F. Visseren, "Prevalence and risk factors of multifocal cardiovascular calcification in patients at high cardiovascular risk", European Society of Cardiology Congress, 2019.
    Abstract
  3. S. van Velzen, N. Lessmann, M. Emaus, H. van den Bongard, H. Verkooijen and I. Isgum, "Deep learning for calcium scoring in radiotherapy treatment planning CT scans in breast cancer patients", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  4. S. van Velzen, J. Terry, B. de Vos, N. Lessmann, S. Nair, A. Correa, H. Verkooijen, J. Carr and I. Isgum, "Automatic prediction of coronary heart disease events using coronary and thoracic aorta calcium among african americans in the Jackson Heart Study", Annual Meeting of the Radiological Society of North America, 2019.
    Abstract
  5. N. Khalili, N. Lessmann, E. Turk, M. Viergever, M. Benders and I. Isgum, "Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities", Annual Meeting of the International Society for Magnetic Resonance in Medicine, 2019.
    Abstract
  6. A. Schreuder, C. Jacobs, N. Lessmann, E. Scholten, I. Isgum, M. Prokop, C. Schaefer-Prokop and B. van Ginneken, "Improved Lung Cancer and Mortality Prediction Accuracy Using Survival Models Based on Semi-Automatic CT Image Measurements", World Conference on Lung Cancer, 2018.
    Abstract
  7. R. van Hamersvelt, M. Zreik, N. Lessmann, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Isgum, "Improving Specificity of Coronary CT Angiography for the Detection of Functionally Significant Coronary Artery Disease: A Deep Learning Approach", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  8. M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M. Viergever, T. Leiner and I. Isgum, "Deep learning analysis of the left ventricular myocardium in cardiac CT images enables detection of functionally significant coronary artery stenosis regardless of coronary anatomy", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  9. B. de Vos, N. Lessmann, P. de Jong, M. Viergever and I. Isgum, "Direct coronary artery calcium scoring in low-dose chest CT using deep learning analysis", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  10. N. Lessmann, B. van Ginneken, P. de Jong, W. Veldhuis, M. Viergever and I. Isgum, "Deep learning analysis for automatic calcium scoring in routine chest CT", Annual Meeting of the Radiological Society of North America, 2017.
    Abstract
  11. F. Mohamed Hoesein, E. Pompe, D. Lynch, N. Lessmann, J. Lammers, I. Išgum and P. de Jong, "Computed tomographic findings are associated with respiratory mortality in the National Lung Screening Trial", Annual Meeting of the Radiological Society of North America, 2016.
    Abstract
  12. N. Lessmann, I. Isgum, S. Lam, J. Mayo, P. de Jong, M. Viergever and B. van Ginneken, "Automatic coronary calcium scoring and cardiovascular risk estimation in the Pan-Canadian lung cancer screening trial", Annual Meeting of the Radiological Society of North America, 2015.
    Abstract

PhD theses

  1. A. Hering, "Deep-Learning-Based Image Registration and Tumor Follow-Up Analysis", PhD thesis, 2022.
    Abstract Url
  2. N. Lessmann, "Machine Learning based quantification of extrapulmonary diseases in chest CT", PhD thesis, 2019.
    Abstract Url