Nikolas Leßmann

According to our database, Nikolas Leßmann authored at least 24 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

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

Gabriel Efrain Humpire Mamani, Colin Jacobs, Mathias Prokop, Bram van Ginneken, Nikolas Lessmann

CoRR, 2023

Kidney abnormality segmentation in thorax-abdomen CT scans.

Gabriel Efrain Humpire Mamani, Nikolas Lessmann, Ernst Th. Scholten, Mathias Prokop, Colin Jacobs, Bram van Ginneken

CoRR, 2023

Lumbar spine segmentation in MR images: a dataset and a public benchmark.

Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann

CoRR, 2023

2022

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

Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken

IEEE Trans. Artif. Intell., 2022

Segmentation of vertebrae and intervertebral discs in lumbar spine MR images with iterative instance segmentation.

Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Nikolas Lessmann

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.

Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke

Medical Image Anal., 2021

CNN-based lung CT registration with multiple anatomical constraints.

Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken

Medical Image Anal., 2021

2020

Constraining Volume Change in Learned Image Registration for Lung CTs.

Alessa Hering, Stephanie Häger, Jan Hendrik Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken

CoRR, 2020

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

Coen de Vente, Luuk H. Boulogne, Kiran Vaidhya Venkadesh, Cheryl Sital, Nikolas Lessmann, Colin Jacobs, Clara I. Sánchez, Bram van Ginneken

CoRR, 2020

Random smooth gray value transformations for cross modality learning with gray value invariant networks.

Nikolas Lessmann, Bram van Ginneken

CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark.

Anjany Sekuboyina, Amirhossein Bayat, Malek El Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareau, Björn H. Menze, Jan S. Kirschke

CoRR, 2020

2019

Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT.

Bob D. de Vos, Jelmer M. Wolterink, Tim Leiner, Pim A. de Jong, Nikolas Leßmann, Ivana Isgum

IEEE Trans. Medical Imaging, 2019

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification.

Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum

Medical Image Anal., 2019

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.

Nadieh Khalili, Nikolas Leßmann, Elise Turk, Nathalie H. P. Claessens, R. de Heus, T. Kolk, Max A. Viergever, Manon J. N. L. Benders, Ivana Isgum

CoRR, 2019

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

Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum

Proceedings of the Medical Imaging 2019: Image Processing, 2019

2018

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

Nikolas Leßmann, Bram van Ginneken, Majd Zreik, Pim A. de Jong, Bob D. de Vos, Max A. Viergever, Ivana Isgum

IEEE Trans. Medical Imaging, 2018

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

Majd Zreik, Nikolas Leßmann, Robbert W. van Hamersvelt, Jelmer M. Wolterink, Michiel Voskuil, Max A. Viergever, Tim Leiner, Ivana Isgum

Medical Image Anal., 2018

Iterative fully convolutional neural networks for automatic vertebra segmentation.

Nikolas Leßmann, Bram van Ginneken, Pim A. de Jong, Ivana Isgum

CoRR, 2018

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

Nikolas Leßmann, Bram van Ginneken, Ivana Isgum

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Direct and Real-Time Cardiovascular Risk Prediction.

Bob D. de Vos, Nikolas Leßmann, Pim A. de Jong, Max A. Viergever, Ivana Isgum

CoRR, 2017

2016

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

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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

2014

Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy.

Nikolas Leßmann, Daniel Drömann, Alexander Schlaefer

Int. J. Comput. Assist. Radiol. Surg., 2014

2012

Ein Ansatz zur bewegungskompensierten stereoskopischen Navigation für die Bronchoskopie.

Nikolas Leßmann, Julian Sulikowski, Pedro Nevoa, Toni Kral, Daniel Drömann, Alexander Schlaefer

Proceedings of the 11. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2012