Nikolas Lessmann

PhD candidate
e-mail: n [dot] lessmann [at] umcutrecht [dot] nl
Phone: +31 88 75 56682
Linkedin


Biography:

Nikolas studied Biomedical Engineering at the University of Lübeck, Germany. For his Bachelor’s thesis, he worked on X-ray based tracking to improve transbronchial biopsy of pulmonary nodules. He then spent one year at Philips Research in Hamburg, where he worked on automatic analysis of chest CT images for the detection of pulmonary embolism and on automatic segmentation of the pulmonary lobes. He is currently working on automatic calcium scoring and early detection of osteoporosis in lung cancer CT screening.


Journal Articles

1.

N. Lessmann, C.I. Sánchez, L. Beenen, L.H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W.M. van Everdingen, P.K. Gerke, B. Geurts, H.A. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H.J. Huisman, I. Išgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E.M. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E.T. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop, B. van Ginneken

Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence Journal Article

Radiology, 298 (1), pp. E18-E28, 2021.

Abstract | Links | BibTeX

2.

C. Celeng, R.A.P. Takx, N. Lessmann, P. Maurovich-Horvat, T. Leiner, I. Išgum, P.A. de Jong

The association between marital status, coronary computed tomography imaging biomarkers, and mortality in a lung cancer screening population Journal Article

Journal of Thoracic Imaging, 35 (3), pp. 204-209, 2020.

Abstract | Links | BibTeX

3.

C.C. van 't Klooster, H.M. Nathoe, J .Hjortnaes, M.L. Bots, I. Išgum, N. Lessmann, Y. van der Graaf, T. Leiner, F.L.J. Visseren, On behalf of the UCC-SMART-study group

Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease Journal Article

International Journal of Cardiology, Heart & Vasculature, 27 (100499), 2020.

Abstract | Links | BibTeX

4.

S.G.M. van Velzen, N. Lessmann, B.K. Velthuis, I.E.M. Bank, D.H.J.G. van den Bongard, T. Leiner, P. A. de Jong, W. B. Veldhuis, A. Correa, J.G. Terry, J.J. Carr, M.A. Viergever, H.M. Verkooijen, I. Išgum

Deep learning for automatic calcium scoring in CT: validation using multiple cardiac CT and chest CT protocols Journal Article

Radiology, 295 (1), 2020.

Abstract | Links | BibTeX

5.

M. Dekker, F. Waissi, I.E.M. Bank, N. Lessmann, I. Išgum, B.K. Velthuis, A.M. Scholtens, G.E. Leenders, G. Pasterkamp, D.P.V. de Kleijn, L. Timmers, A. Mosterd

Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease Journal Article

International Journal of Cardiology, 26 (100434), 2019.

Abstract | Links | BibTeX

6.

M.J. Emaus, I. Išgum, S.G.M. van Velzen, H.J.G.D. van den Bongard, S.A.M. Gernaat, N. Lessmann, M.G.A. Sattler, A.J. Teske, J. Penninkhof, H. Meijer, J.P. Pignol, H.M. Verkooijen; Bragatston study group

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 Journal Article

BMJ Open, 9 (7), pp. e028752, 2019.

Abstract | Links | BibTeX

7.

N. Khalili, N. Lessmann, E. Turk, N. Claessens, R. de Heus, T. Kolk, M.A. Viergever, M.J.N.L. Benders, I. Išgum

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks Journal Article

Magnetic Resonance Imaging, 64 , pp. 77-89, 2019.

Abstract | Links | BibTeX

8.

B.D. de Vos, J.M. Wolterink, T. Leiner, P.A. de Jong, N. Lessmann, I. Išgum

Direct automatic coronary calcium scoring in cardiac and chest CT Journal Article

IEEE Transactions on Medical Imaging, 34 , pp. 123-136, 2019.

Abstract | Links | BibTeX

9.

N. Lessmann, B. van Ginneken, P.A. de Jong, I. Išgum

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification Journal Article

Medical Image Analysis, 53 , pp. 142-155, 2019.

Abstract | Links | BibTeX

10.

N. Lessmann, P.A. de Jong, C. Celeng, R.A.P. Takx, M.A. Viergever, B. van Ginneken, I. Išgum

Sex differences in coronary artery and thoracic aorta calcification and their association with cardiovascular mortality in heavy smokers Journal Article

JACC: Cardiovascular Imaging, 12 (9), pp. 1808-1817, 2019.

Abstract | Links | BibTeX

11.

J. Šprem, B.D. de Vos, N. Lessmann, R.W. van Hamersvelt, M.J.W. Greuter, P.A. de Jong, T. Leiner, M.A. Viergever, I. Išgum

Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images Journal Article

PLoS One, 13 (12), pp. e0209318, 2018.

Abstract | Links | BibTeX

12.

J. Šprem; B.D. de Vos; N. Lessmann; P.A. de Jong; M.A. Viergever; I. Išgum

Impact of automatically detected motion artifacts on coronary calcium scoring in chest CT Journal Article

Journal of Medical Imaging, 5 (4), pp. 044007 , 2018.

Abstract | Links | BibTeX

13.

S.A.M. Gernaat, S.G.M. van Velzen, V. Koh, M.J. Emaus, I. Išgum, N. Lessmann, S. Moes, A. Jacobson, P.W. Tan, D.E. Grobbee, D.H.J. van den Bongard, J.I. Tang, H.M. Verkooijen

Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients Journal Article

Radiotherapy and Oncology, 127 (3), pp. 487-492, 2018.

Abstract | Links | BibTeX

14.

N. Lessmann, B. van Ginneken, M. Zreik, P.A. de Jong, B.D. de Vos, M.A. Viergever, I. Išgum

Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions Journal Article

IEEE Transactions on Medical Imaging, 37 (2), pp. 615-625, 2018.

Abstract | Links | BibTeX

15.

M. Zreik, N. Lessmann, R.W. van Hamersvelt, J.M. Wolterink, M. Voskuil, M.A. Viergever, T. Leiner, I. Išgum

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis Journal Article

Medical Image Analysis, 44 , pp. 72-85, 2018.

Abstract | Links | BibTeX

16.

E. Pompe, P.A. de Jong, D.A. Lynch, N. Lessmann, I. Isgum, B. van Ginneken, J.-W.J. Lammers, F.A.A. Mohamed Hoesein

Computed tomographic findings in subjects who died from respiratory disease in the National Lung Screening Trial Journal Article

European Respiratory Journal, 49 , pp. 1601814, 2017.

Abstract | Links | BibTeX

Inproceedings

1.

S.G.M. van Velzen, M. Zreik, N. Lessmann, M.A. Viergever, P.A. de Jong, H.M. Verkooijen, I. Išgum

Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning Inproceedings

In: SPIE Medical Imaging, pp. 109490X, 2019.

Abstract | Links | BibTeX

2.

N. Lessmann, B. van Ginneken, P.A. de Jong, I. Išgum

Iterative fully convolutional neural networks for automatic vertebra segmentation Inproceedings

In: Medical Imaging with Deep Learning (MIDL 2018), 2018.

Abstract | Links | BibTeX

3.

N. Lessmann, B. van Ginneken, I. Išgum

Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images Inproceedings

In: SPIE Medical Imaging, pp. 1057408, 2018.

Abstract | Links | BibTeX

4.

N. Lessmann, I. Isgum, A.A.A. Setio, B.D. de Vos, F. Ciompi, P.A. de Jong, M. Oudkerk, W.P.Th.M. Mali, M.A. Viergever, B. van Ginneken

Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT Inproceedings

In: SPIE Medical Imaging, pp. 978511, 2016, (Bla).

Abstract | Links | BibTeX

Abstracts

1.

R. Gal, S.G. van Velzen, M.J. Emaus, D.H. van den Bongard, M.L. Gregorowitsch, E.L. Blezer, G. Sofie, N. Lessmann, M.G. Sattler, M.J. Hooning, A.J. Teske, J.J. Penninkhof, H. Meijer, J.P. Pignol, J. Verloop, I. Išgum, H.M. Verkooijen, Bragatston Study Group

The risk of cardiovascular disease in irradiated breast cancer patients: The role of cardiac calcifications and adjuvant treatment Abstract

In: European Journal of Cancer, 138, pp. S6, 2020.

Abstract | Links | BibTeX

2.

S.G.M. van Velzen, J.G. Terry, B.D. de Vos, N Lessmann, S. Nair, A. Correa, H.M. Verkooijen J.J. Carr, I. Išgum

Automatic prediction of coronary heart disease events using coronary and thoracic aorta calcium among African Americans in the Jackson Heart study Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX

3.

S.G.M. van Velzen, N. Lessmann, M.J. Emaus, H. van den Bongard, H.M. Verkooijen, I. Išgum

Deep learning for calcium scoring in radiotherapy treatment planning CT scans in breast cancer patients Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX

4.

N. Khalili, N. Lessmann, E. Turk, M.A. Viergever, M.J.N.L. Benders, I. Išgum

Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities Abstract

In: International Society for Magnetic Resonance in Medicine, 27th Annual Meeting & Exhibition, 2019.

Abstract | BibTeX

5.

A. Schreuder; C. Jacobs; N. Lessmann; E.T. Scholten; I. Išgum; M. Prokop; C.M. Schaefer-Prokop; B. van Ginneken

Improved lung cancer and mortality prediction accuracy using survival models based on semi-automatic CT image measurements Abstract

In: 2018.

BibTeX

6.

R. van Hamersvelt, M. Zreik, N. Lessmann, J. Wolterink, M. Voskuil, M.A Viergever, T. Leiner, I. Isgum

Improving Specificity of Coronary CT Angiography for the Detection of Functionally Significant Coronary Artery Disease: A Deep Learning Approach Abstract

In: 2017.

Abstract | BibTeX

7.

N. Lessmann, B. van Ginneken, P.A. de Jong, W.B. Veldhuis, M.A. Viergever, I. Isgum

Deep learning analysis for automatic calcium scoring in routine chest CT Abstract

In: 2017.

Abstract | BibTeX

8.

B.D. de Vos, N. Lessmann, P.A. de Jong, M.A. Viergever, I. Isgum

Direct coronary artery calcium scoring in low-dose chest CT using deep learning analysis Abstract

In: 2017.

Abstract | BibTeX

9.

M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M.A Viergever, T. Leiner, 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 Abstract

In: 2017.

Abstract | BibTeX

10.

F. Mohamed Hoesein, E. Pompe, D.A. Lynch, N. Lessmann, J.W.J. Lammers, I. Isgum, P.A. de Jong

Computed tomographic findings are associated with respiratory mortality in the National Lung Screening Trial Abstract

In: 2016.

Abstract | BibTeX

11.

N. Lessmann, I. Isgum, S. Lam, J. Mayo, P.A. de Jong, M.A. Viergever, B. van Ginneken

Automatic coronary calcium scoring and cardiovascular risk estimation in the Pan-Canadian lung cancer screening trial Abstract

In: 2015.

Abstract | BibTeX

PhD Theses

1.

N. Lessmann

Machine learning based quantification of extrapulmonary diseases in chest CT PhD Thesis

Utrecht University, The Netherlands, 2019, ISBN: 978-94-6323-607-2.

BibTeX