Jelmer Wolterink

Assistant Professor
E-mail: j [dot] m [dot] wolterink [at] utwente [dot] nl
LinkedIn; Google Scholar


Jelmer Wolterink obtained his Bachelor of Science degree in Artificial Intelligence in 2010 from Radboud University Nijmegen. In 2012, he received his Master of Science degree in Mathematical Sciences from Utrecht University. During this master programme, Jelmer did a six month internship on molecular simulations in the NANO-D team at INRIA Rhone-Alpes (Grenoble, France).

In May 2017 Jelmer finished his PhD at the Image Sciences Institute at UMC Utrecht with a thesis entitled Machine learning based analysis of cardiovascular images. After this, he was a postdoctoral researcher in the Quantitative Medical Image Analysis Group working on the development of deep generative models for the analysis of cardiac spectral CT images.

As of March 2020, Jelmer is an Assistant Professor in the Applied Analysis group at the University of Twente.


Journal Articles

1.

S. Bruns, J.M. Wolterink, R.A.P. Takx, R.W. van Hamersvelt, D. Suchá, M.A. Viergever, T. Leiner, I. Išgum

Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT Journal Article

Medical Physics, 47 (10), pp. 5048-5060, 2020.

Abstract | Links | BibTeX

2.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, E.M. Postma, P.A.M. Smeets, R.A.P. Takx, T. Leiner, M.A. Viergever, I. Išgum

Deep learning-based regression and classification for automatic landmark localization in medical images Journal Article

IEEE Transactions on Medical Imaging, 39 (12), pp. 4011-4022, 2020, ISSN: 1558-254X.

Abstract | Links | BibTeX

3.

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

Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography Journal Article

Transactions on Medical Imaging, 39 (5), pp. 1545-1557, 2020.

Abstract | Links | BibTeX

4.

J.W. Bartstra, P.A. de Jong, G. Kranenburg, J.M. Wolterink, I. Išgum, A. Wijsman, B. Wolf, A.M. den Harder, W.P.T.M. Mali, W. Spiering

Etidronate halts systemic arterial calcification in pseudoxanthoma elasticum Journal Article

Atherosclerosis, 292 , pp. 37-41, 2020.

Abstract | Links | BibTeX

5.

N. Hampe, J.M. Wolterink, S.G.M. van Velzen, T. Leiner, I. Išgum

Machine learning for assessment of coronary artery disease in cardiac CT: a survey Journal Article

Frontiers in Cardiovascular Medicine, 6 (172), 2019.

Abstract | Links | BibTeX

6.

S.R. Zwakenberg, P.A. de Jong, J.W. Bartstra, R. van Asperen, J. Westerink, H. de Valk, R.H.J.A. Slart, G. Luurtsema, J.M. Wolterink, G.J. de Borst, J.A. van Herwaarden, M.A. van de Ree, L.J. Schurgers, Y.T. van der Schouw, J.W.J. Beulens

The effect of menaquinone-7 supplementation on vascular calcification in patients with diabetes: a randomized, double-blind, placebo-controlled trial Journal Article

The American Journal of Clinical Nutrition, 2019.

Abstract | Links | BibTeX

7.

G. Litjens, F. Ciompi, J.M. Wolterink, B.D. de Vos, T. Leiner, J. Teuwen, I. Išgum

State-of-the-art deep learning in cardiovascular image analysis Journal Article

JACC: Cardiovascular Imaging, 12 (8 Part 1), pp. 1549-1565, 2019.

Abstract | Links | BibTeX

8.

E. Verburg, J.M. Wolterink, S.N. de Waard, I. Išgum, C.H. van Gils, W.B. Veldhuis, K.G.A. Gilhuijs

Knowledge-based and deep learning-based automated chest wall segmentation in Magnetic Resonance Images of extremely dense breasts Journal Article

Medical physics, 46 (10), pp. 4405-4416, 2019.

Abstract | Links | BibTeX

9.

J.M. Wolterink

Left ventricle segmentation in the era of deep learning Journal Article

Journal of Nuclear Cardiology, 2019.

Links | BibTeX

10.

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

11.

J.M. Wolterink, R.W. van Hamersvelt, M.A. Viergever, T. Leiner, I. Išgum

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier Journal Article

Medical Image Analysis, 51 , pp. 46-60, 2019.

Abstract | Links | BibTeX

12.

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

A recurrent CNN for automatic detection and classification of coronary artery plaque and stenosis in coronary CT angiography Journal Article

IEEE Transactions on Medical Imaging, 38 (7), 2018.

Abstract | Links | BibTeX

13.

A.M. den Harder, P.A. de Jong, M.C.H. de Groot, J.M. Wolterink, R.P.J. Budde, I. Išgum, W.W. van Solinge, M.J. Ten Berg, E. Lutgens, W.B. Veldhuis, S. Haitjema, I.E. Hoefer, T. Leiner

Commonly available hematological biomarkers are associated with the extent of coronary calcifications Journal Article

Atherosclerosis, 275 , pp. 166-173, 2018.

Abstract | Links | BibTeX

14.

A.M. Dinkla, J.M. Wolterink, M. Maspero, M.H.F. Savenije, J.J.C. Verhoeff, E. Seravalli, I. Išgum, P.R. Seevinck, C.A.T. van den Berg

MR-only brain radiotherapy: Dosimetric evaluation of synthetic CTs generated by a dilated convolutional neural network Journal Article

International Journal of Radiation Oncology, Biology, Physics, 102 (4), pp. 810-812, 2018.

Abstract | Links | BibTeX

15.

O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng, I. Cetin, K. Lekadir, O. Camaram M.A. Gonzalez Ballester, G. Sanroma, S. Napel, S. Petersen, G. Tziritas, E. Grinias, M. Khened, V.A. Kollerathu, G. Krishnamurthi, M. Rohé, X. Pennec, M. Sermesant, F. Isensee, P. Jäger, K.H. Maier-Hein, C.F. Baumgartner, L.M. Koch, J.M. Wolterink, I. Išgum, Y. Jang, Y. Hong, J. Patravali, S. Jain, O. Humbert, P. Jodoin

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved? Journal Article

IEEE Transactions on Medical Imaging, 37 (11), pp. 2514-2525, 2018.

Abstract | Links | BibTeX

16.

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

17.

I. Isgum, B.D. de Vos, J.M. Wolterink, D. Dey, D.S. Berman, M. Rubeaux, T. Leiner, P. J. Slomka

Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT Journal Article

Journal of Nuclear Cardiology, 25 (6), pp. 2143, 2017.

Abstract | Links | BibTeX

18.

J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum

Generative adversarial networks for noise reduction in low-dose CT Journal Article

IEEE Transactions on Medical Imaging, 36 (12), pp. 2536 - 2545, 2017.

Abstract | Links | BibTeX

19.

I. Isgum, B.D. de Vos, J.M. Wolterink, D. Dey, D.S. Berman, M. Rubeaux, T. Leiner, P.J. Slomka

Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT Journal Article

Journal of Nuclear Cardiology, 25 (6), pp. 2133-2142, 2017.

Abstract | Links | BibTeX

20.

B.D. de Vos, J.M. Wolterink, P.A. de Jong, T. Leiner, M.A. Viergever, I. Isgum

ConvNet-based localization of anatomical structures in 3D medical images Journal Article

IEEE Transactions on Medical Imaging, 36 (7), pp. 1470-1481, 2017.

Abstract | BibTeX

21.

A.M. den Harder, J.M. Wolterink, M.J. Willemink, A.M.R. Schilham, P.A. de Jong, R.P.J. Budde, H.M. Nathoe, I. Isgum, T. Leiner

Submillisievert coronary calcium quantification using model-based iterative reconstruction: a within-patient analysis Journal Article

European Journal of Radiology, 85 (11), pp. 2152-2159, 2016.

Abstract | BibTeX

22.

J.M. Wolterink, T. Leiner, B.D. de Vos, R.W. van Hamersvelt, M.A. Viergever, I. Isgum

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks Journal Article

Medical Image Analysis, 34 , pp. 123-136, 2016.

Abstract | BibTeX

23.

J.M. Wolterink, T. Leiner, B.D. de Vos, J-L. Coatrieux, B.M. Kelm, S. Kondo, R.A. Salgado, R. Shahzad, H. Shu, M. Snoeren, R.A.P. Takx, L.J. van Vliet, T. van Walsum, T.P. Willems, G. Yang, Y. Zheng, M.A. Viergever, I. Isgum

An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework Journal Article

Medical Physics, 43 (5), pp. 2361, 2016.

Abstract | BibTeX

24.

J.M. Wolterink, T. Leiner, R.A.P. Takx, M.A. Viergever; I. Isgum

Automatic coronary calcium scoring in non-contrast-enhanced ECG-triggered cardiac CT with ambiguity detection Journal Article

IEEE Transactions on Medical Imaging, 34 (9), pp. 1867-1878, 2015.

Abstract | BibTeX

Inproceedings

1.

S. Bruns, J.M. Wolterink, T.P.W. van den Boogert, J.P. Henriques, J. Baan, R.N. Planken, I. Išgum

Automatic whole-heart segmentation in 4D TAVI treatment planning CT Inproceedings

In: SPIE Medical Imaging, pp. 115960B, 2021.

Abstract | Links | BibTeX

2.

N. Hampe, J.M. Wolterink, C. Collet, R.N. Planken, I. Išgum

Graph Attention Networks for Segment Labeling in Coronary Artery Trees Inproceedings

In: SPIE Medical Imaging, pp. 115961I, 2021.

Abstract | Links | BibTeX

3.

M. Zreik, N. Hampe, T. Leiner, N. Khalili, J.M. Wolterink, M. Voskuil, M.A. Viergever, I. Išgum

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis Inproceedings

In: SPIE Medical Imaging, pp. 115961F, 2021.

Abstract | Links | BibTeX

4.

L.D. van Harten, J.M. Wolterink, J.J.C. Verhoeff, I. Išgum

Automatic online quality control of synthetic CTs Inproceedings

In: SPIE Medical Imaging, pp. 113131M, 2020.

Abstract | Links | BibTeX

5.

L.D. van Harten, J.M. Wolterink, J.J.C. Verhoeff, I. Išgum

Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning Inproceedings

In: SPIE Medical Imaging, pp. 113131F, 2020.

Abstract | Links | BibTeX

6.

J.M. Wolterink, T. Leiner, I. Išgum

Graph convolutional networks for coronary artery segmentation in cardiac CT angiography Inproceedings

In: Graph Learning in Medical Imaging (GLMI 2019), Lecture Notes in Computer Science, 2019.

Links | BibTeX

7.

S. Bruns, J.M. Wolterink, R.W. van Hamersvelt, T. Leiner, I. Išgum

CNN-based segmentation of the cardiac chambers and great vessels in non-contrast-enhanced cardiac CT Inproceedings

In: Medical Imaging with Deep Learning (MIDL 2019), 2019.

Abstract | Links | BibTeX

8.

M.S. Elmahdy, J.M. Wolterink, H. Sokooti, I. Išgum, M. Staring

Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy Inproceedings

In: Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Lecture Notes in Computer Science, 2019.

Abstract | Links | BibTeX

9.

L.D. van Harten; J.M.H. Noothout; J.J.C. Verhoeff; J.M. Wolterink; I. Išgum

Automatic segmentation of organs at risk in thoracic CT scans by combining 2D and 3D convolutional neural networks Inproceedings

In: Proc. of SegTHOR challenge at IEEE International Symposium on Biomedical Imaging, 2019.

Abstract | Links | BibTeX

10.

S. Bruns, J.M. Wolterink, R.W. van Hamersvelt, M. Zreik, T. Leiner, I. Išgum

Improving myocardium segmentation in cardiac CT angiography using spectral information Inproceedings

In: SPIE Medical Imaging, pp. 109492M, 2019.

Abstract | Links | BibTeX

11.

J. Sander, B.D. de Vos, J.M. Wolterink, I. Išgum

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Inproceedings

In: SPIE Medical Imaging, pp. 1094919, 2019.

Abstract | Links | BibTeX

12.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, I. Išgum

Automatic segmentation of thoracic aorta segments in low-dose chest CT Inproceedings

In: SPIE Medical Imaging, pp. 105741S, 2018.

Abstract | Links | BibTeX

13.

J.M. Wolterink, T. Leiner, I. Išgum

Blood vessel geometry synthesis using generative adversarial networks Inproceedings

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

Abstract | Links | BibTeX

14.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, T. Leiner, I. Išgum

CNN-based Landmark Detection in Cardiac CTA Scans Inproceedings

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

Abstract | Links | BibTeX

15.

J.M. Wolterink, T. Leiner, M.A. Viergever, I. Išgum

Automatic segmentation and disease classification using cardiac cine MR images Inproceedings

In: Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges. STACOM 2017, pp. 101-110, Springer, Cham, 2018.

Abstract | Links | BibTeX

16.

J.M. Wolterink, A.M. Dinkla, M.H.F. Savenije, P.R. Seevinck, C.A.T. van den Berg, I. Isgum

Deep MR to CT synthesis using unpaired data Inproceedings

In: SASHIMI 2017: Simulation and Synthesis in Medical Imaging, pp. 14023, 2017.

Abstract | Links | BibTeX

17.

J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum

Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease Inproceedings

In: M.A. Zuluaga; K. Bhatia; B. Kainz; M.H. Moghari; D.F. Pace (Ed.): HVSMR 2016: MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, pp. 95-102, Springer International Publishing, 2017.

Abstract | BibTeX

18.

P. Moeskops, J.M. Wolterink, B.H.M. van der Velden, K.G.A. Gilhuijs, T. Leiner, M.A. Viergever, I. Isgum

Deep learning for multi-task medical image segmentation in multiple modalities Inproceedings

In: Medical Image Computing and Computer-Assisted Intervention, pp. 478-486, 2016.

Abstract | BibTeX

19.

I. Isgum, B.D. de Vos, J.M. Wolterink, D. Dey, D.S. Berman, M. Rubeaux, T. Leiner, P.J. Slomka

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs Inproceedings

In: SPIE Medical Imaging, pp. 978405-1-978405-6, 2016.

Abstract | BibTeX

20.

B.D. de Vos, J.M. Wolterink, P.A. de Jong, M.A. Viergever, I. Isgum

2D image classification for 3D anatomy localization; employing deep convolutional neural networks Inproceedings

In: SPIE Medical Imaging, pp. 97841Y-1-97841Y-7, 2016.

Abstract | BibTeX

21.

J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum

Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks Inproceedings

In: N. Navab, J. Hornegger, W.M. Wells, A.F. Frangi (Ed.): Medical Image Computing and Computer-Assisted Intervention, pp. 589-596, Springer International Publishing, 2015.

Abstract | BibTeX

22.

B.D. de Vos; P.A. de Jong; J.M. Wolterink; R. Vliegenthart; G.V.F. Wielingen; M.A. Viergever; I. Isgum

Automatic machine learning based prediction of cardiovascular events in lung cancer screening data Inproceedings

In: SPIE Medical Imaging, pp. 94140D, 2015.

Abstract | BibTeX

23.

J.M. Wolterink; T. Leiner; R.A.P. Takx; M.A. Viergever; I. Isgum

An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT Inproceedings

In: SPIE Medical Imaging, 2014.

Abstract | BibTeX

Abstracts

1.

M. Oudkerk Pool, B.D. De Vos, J.M. Wolterink, S. Blok, M.J. Schuuring, H. Bleijendaal, D.A.J. Dohmen, I.I. Tulevski, G.A. Somsen, B.J.M. Mulder, Y. Pinto, B.J. Bouma, I. Išgum, M.M. Winter

Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network Abstract

In: 2020.

Abstract | Links | BibTeX

2.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, R.A.P. Takx, T. Leiner, I. Išgum

Deep learning for automatic landmark localization in CTA for transcatheter aortic valve implantation Abstract

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

Abstract | Links | BibTeX

3.

M. Froeling, L. Schlaffke, M. Rohm, I. Išgum, H. Kan, J.M. Wolterink

Evaluation of input data and UNet based convolutional network architectures for automated muscle annotation in 2D and 3D Abstract

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

Abstract | BibTeX

4.

A.M. Dinkla, J.M. Wolterink, M. Maspero, M.H.F. Savenije, J.J.C. Verhoeff, I. Išgum, P.R. Seevinck, J.J.W. Lagendijk, C.A.T. van den Berg

CT synthesis for MR-only brain radiotherapy treatment planning using convolutional neural networks Abstract

In: 2018.

BibTeX

5.

A.M. Dinkla, J.M. Wolterink, M. Maspero, M.H.F. Savenije, J.J.C. Verhoeff, I. Išgum, P.R. Seevinck, J.J.W. Lagendijk, C.A.T. van den Berg

Dosimetric evaluation of deep learning based synthetic-CT generation for MR-only brain radiotherapy Abstract

In: 2018.

BibTeX

6.

A.M. den Harder, J.M. Wolterink, P.A. de Jong, M.C.H. de Groot, R.P.J. Budde, I. Išgum, S. Haijtjema, I.E. Hoefer, T. Leiner

Basic hematological biomarkers are associated with coronary calcifications Abstract

In: 2018.

BibTeX

7.

J.M. Wolterink, I. Išgum, E. Bennink, V. Huang, M.A. Viergever, T. Leiner

Fully automatic segmentation of the renal cortex and medulla in contrast-enhanced abdominal CT using deep learning Abstract

In: 2018.

BibTeX

8.

J.M. Wolterink, A.M. Dinkla, M.H.F. Savenije, P.R. Seevinck, C.A.T. van den Berg, I. Isgum

MR-to-CT synthesis using cycle-consistent generative adversarial networks Abstract

In: 2017.

BibTeX

9.

J.M. Wolterink, I. Isgum, M.A. Viergever, T. Leiner

Cardiovascular MR image segmentation in congenital heart disease using a dilated convolutional neural network Abstract

In: 2017.

BibTeX

10.

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

11.

J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum

An adversarial deep learning approach to coronary CT radiation reduction Abstract

In: 2017.

Abstract | BibTeX

12.

A.M. den Harder, J.M. Wolterink, P.A. de Jong, M.C.H. de Groot, I. Isgum, W.B. Veldhuis, S. Haijtema, I.E. Hoefer, T. Leiner

Towards understanding the role of the hematological system in the pathophysiology of coronary calcifications: A cohort study Abstract

In: 2017.

BibTeX

13.

A.M. den Harder; J.M. Wolterink; M.J. Willemink; A.M.R. Schilham; P.A. de Jong; R.P.J. Budde; H.M. Nathoe; I. Isgum; T. Leiner

Low-dose coronary calcium scoring with model-based iterative reconstruction Abstract

In: 2016.

BibTeX

14.

J.M. Wolterink; T. Leiner; M.J. Willemink; M.A. Viergever; I. Isgum

The impact of iterative reconstruction on detectability and quantification of calcifications in CT coronary calcium Scoring: Individual lesion-by-lesion comparison Abstract

In: 2015.

Abstract | BibTeX

15.

J.M. Wolterink; M.J. Willemink; R.A.P. Takx; M. Prokop; J. de Mey; M. Das; P.A. de Jong; R.P.J. Budde; A.M.R. Schilham; R.L.A.W. Bleys; N. Buls; J.E. Wildberger; M.A. Viergever; I. Isgum; T. Leiner

Differences in coronary artery calcification scores obtained with different CT scanners are not software related Abstract

In: 2014.

Abstract | BibTeX

16.

J.M. Wolterink; T. Leiner; P.A. de Jong; M.A. Viergever; I. Isgum

Automatic coronary calcium scoring in ECG-triggered cardiac CT Abstract

In: 2013.

Abstract | BibTeX

Book Chapters

1.

J. Verjans, W.B. Veldhuis, G. Carneiro, J.M. Wolterink, I. Išgum, T. Leiner

Cardiovascular Diseases Book Chapter

In: E.R. Ranschaert, S. Morozov, P.R. Algra (Ed.): Artificial Intelligence in Medical Imaging - Opportunities, Applications and Risks, pp. 167-185, Springer International Publishing, 2019, ISBN: 978-3-319-94878-2.

BibTeX

2.

J.M. Wolterink, K. Kamnitsas, C. Ledig, I. Išgum

Deep learning: generative adversarial networks and adversarial methods Book Chapter

In: pp. 547-574, Handbook of Medical Image Computing and Computer Assisted Intervention, 2018.

Abstract | Links | BibTeX

3.

T. Leiner, J.M. Wolterink, I. Išgum

Artificial intelligence and cardiovascular disease - friend or foe? Book Chapter

In: J. Bremerich, R. Salgado (Ed.): The heart revealed - Radiology in the diagnosis and management of cardiac conditions , pp. 148-155 , The European Society of Radiology (ESR), 2018, ISBN: 978-3-9504388-5-7.

Links | BibTeX

PhD Theses

1.

J.M. Wolterink

Machine learning based analysis of cardiovascular images PhD Thesis

Utrecht University, The Netherlands, 2017, ISBN: 978-94-6299-587-1.

Abstract | BibTeX