Ein Ansatz zur bewegungskompensierten stereoskopischen Navigation für die Bronchoskopie. - Nikolas Leßmann; Julian Sulikowski; Pedro Nevoa; Toni Kral; Daniel Drömann; Alexander Schlaefer (CURAC, 2012)

Feasibility of respiratory motion-compensated stereoscopic X-ray tracking for bronchoscopy. - Nikolas Leßmann; Daniel Drömann; Alexander Schlaefer (Int. J. Comput. Assist. Radiol. Surg., 2014)

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 (Computer-Aided Diagnosis, 2016)

Direct and Real-Time Cardiovascular Risk Prediction. - Bob D. de Vos; Nikolas Leßmann; Pim A. de Jong; Max A. Viergever; Ivana Isgum (CoRR, 2017)

Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. - Nikolas Leßmann; Bram van Ginneken; Ivana Isgum (Image Processing, 2018)

Iterative fully convolutional neural networks for automatic vertebra segmentation. - Nikolas Leßmann; Bram van Ginneken; Pim A. de Jong; Ivana Isgum (CoRR, 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)

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)

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 (Image Processing, 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)

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)

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)

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 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (CoRR, 2020)

Random smooth gray value transformations for cross modality learning with gray value invariant networks. - Nikolas Lessmann; 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)

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)

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)

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 004; Giles Tetteh; Jan Kukacka; Christian Payer; Darko Stern; Martin Urschler; Maodong Chen; et al. (Medical Image Anal., 2021)

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. - Jasper Willem 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 (Zenodo, 2021)

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 (Image Processing, 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)

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)

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)

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)

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 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

SPIDER - 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 (Zenodo, 2023)

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. - Jasper Willem 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 (Zenodo, 2023)

SPIDER - Lumbar spine segmentation in MR images: a dataset and a public benchmark. - Jasper Willem 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 (Zenodo, 2023)

Semi-Supervised Segmentation via Embedding Matching. - Weiyi Xie; Nathalie Willems; Nikolas Lessmann; Tom Gibbons; Daniele De Massari (MIDL, 2024)

Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. - Alessa Hering; Max Westphal; Annika Gerken; Haidara Almansour; Michael Maurer; Benjamin P. Geisler; Temke Kohlbrandt; Thomas Eigentler; Teresa Amaral; Nikolas Lessmann; Sergios Gatidis; Horst K. Hahn; et al. (Int. J. Comput. Assist. Radiol. Surg., 2024)