Nikolas Lessmann

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Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

Nikolas Lessmann, Luuk H Boulogne, Bram van Ginneken, 2020, Radiology.

Six months vitamin K treatment does not affect systemic arterial calcification or bone mineral density in diabetes mellitus 2

P. D. de Jong, Y. T. van der Schouw, N. Lessmann, 2020, European Journal of Nutrition.

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

Nikolas Lessmann, Bram van Ginneken, Pim A. de Jong, 2018, Medical Image Anal..

Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer.

I. Išgum, T. Leiner, M. Hooning, 2021, JAMA oncology.

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

I. Išgum, H. Nathoe, T. Leiner, 2020, International journal of cardiology. Heart & vasculature.

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks

Max A. Viergever, Ivana Isgum, Manon J. N. L. Benders, 2019, Magnetic resonance imaging.

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

Nikolas Lessmann, Ivana Išgum, Diederick E Grobbee, 2018, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions

Max A. Viergever, Nikolas Lessmann, Bram van Ginneken, 2017, IEEE Transactions on Medical Imaging.

Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols.

M. Viergever, H. Verkooijen, I. Išgum, 2020, Radiology.

Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning

Max A. Viergever, Pim A. de Jong, Majd Zreik, 2018, Medical Imaging: Image Processing.

Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT.

I. Išgum, P. D. de Jong, B. D. de Vos, 2021, Radiology. Cardiothoracic imaging.

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT

Nikolas Lessmann, Tim Leiner, Jelmer M. Wolterink, 2019, IEEE Transactions on Medical Imaging.

High levels of osteoprotegerin are associated with coronary artery calcification in patients suspected of a chronic coronary syndrome

R. D. de Winter, I. Išgum, G. Pasterkamp, 2021, Scientific Reports.

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

D. Lynch, B. van Ginneken, J. Lammers, 2017, European Respiratory Journal.

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

Nicol'as P'erez de Olaguer, Bjorn H. Menze, Maximilian T. Loffler, 2020, Medical Image Anal..

VerSe: A Vertebrae Labelling and Segmentation Benchmark pdf

Jan S. Kirschke, Daguang Xu, Xin Wang, 2020, ArXiv.

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

Max A. Viergever, Nikolas Lessmann, Tim Leiner, 2017, Medical Image Anal..

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

M. Viergever, I. Išgum, T. Leiner, 2018, PloS one.

Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers.

B. van Ginneken, M. Viergever, I. Išgum, 2019, JACC. Cardiovascular imaging.

Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography

Nikolas Lessmann, Max A Viergever, Ivana Išgum, 2018, Journal of medical imaging.

The Association Between Marital Status, Coronary Computed Tomography Imaging Biomarkers, and Mortality in a Lung Cancer Screening Population

I. Išgum, T. Leiner, P. D. de Jong, 2019, Journal of thoracic imaging.

Scan-based competing death risk model for re-evaluating lung cancer computed tomography screening eligibility

B. van Ginneken, M. Prokop, I. Išgum, 2021, European Respiratory Journal.

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

I. Išgum, G. Pasterkamp, A. Mosterd, 2019, International journal of cardiology. Heart & vasculature.

Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation

I. Išgum, T. Leiner, N. Lessmann, 2022, Frontiers in Cardiovascular Medicine.

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

Max A. Viergever, Bram van Ginneken, Pim A. de Jong, 2016, SPIE Medical Imaging.

MRI image features with an evident relation to low back pain: a narrative review

R. Kroeze, M. V. van Hooff, N. Lessmann, 2023, European Spine Journal.

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

I. Išgum, H. Verkooijen, J. Pignol, 2019, BMJ Open.

CNN-based lung CT registration with multiple anatomical constraints

Stefan Heldmann, Jan Hendrik Moltz, Nikolas Lessmann, 2020, Medical Image Anal..

Constraining Volume Change in Learned Image Registration for Lung CTs pdf

Stefan Heldmann, Jan Hendrik Moltz, Nikolas Lessmann, 2020, ArXiv.

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison

Coen de Vente, Kiran Vaidhya Venkadesh, B. Ginneken, 2021, IEEE Transactions on Artificial Intelligence.

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

Bram van Ginneken, Ivana Isgum, Nikolas Leßmann, 2018, Medical Imaging.

Direct and Real-Time Cardiovascular Risk Prediction

M. Viergever, I. Išgum, N. Lessmann, 2017, ArXiv.

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study pdf

Nikolas Lessmann, Bram van Ginneken, Colin Jacobs, 2020, ArXiv.

Transfer learning from a sparsely annotated dataset of 3D medical images

B. Ginneken, C. Jacobs, G. Mamani, 2023, ArXiv.