Nikolas Leßmann

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 14

Top Topics

Convolutional Neural Networks

Computer Tomography

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Medical Imaging: Image Processing

Publications

Nadieh Khalili, Nikolas Leßmann, E. Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks. CoRR (2019)
Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. CoRR (2019)
Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum
Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. Medical Imaging: Image Processing (2019)
Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT. IEEE Trans. Medical Imaging 38 (9) (2019)
Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum
Iterative fully convolutional neural networks for automatic vertebra segmentation and identification. Medical Image Anal. 53 (2019)
Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum
Iterative fully convolutional neural networks for automatic vertebra segmentation. CoRR (2018)
Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum
Direct Prediction of Cardiovascular Mortality from Low-dose Chest CT using Deep Learning. CoRR (2018)
Nikolas Leßmann, Bram van Ginneken, Ivana Isgum
Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. Medical Imaging: Image Processing (2018)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Medical Image Anal. 44 (2018)
Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions. IEEE Trans. Medical Imaging 37 (2) (2018)
Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum
Direct and Real-Time Cardiovascular Risk Prediction. CoRR (2017)
Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum
Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. CoRR (2017)
Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum
Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. CoRR (2017)
Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis (2016)
Nikolas Leßmann, Daniel Drömann, Alexander Schlaefer
Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy. Int. J. Comput. Assist. Radiol. Surg. 9 (2) (2014)
Nikolas Leßmann, Julian Sulikowski, Pedro Nevoa, Toni Kral, Daniel Drömann, Alexander Schlaefer
Ein Ansatz zur bewegungskompensierten stereoskopischen Navigation für die Bronchoskopie. CURAC (2012)