Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes

M. Kloenne, S. Niehaus, L. Lampe, A. Merola, J. Reinelt, I. Roeder, and N. Scherf. Sci. Rep., 10 (1): 10712 (July 2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

No persons found for author name Scherf, Nico

add a person with the name Scherf, Nico

Other publications of authors with the same name

Ontology patterns for the representation of quality changes of cells in timeP. Burek, N. Scherf, and H. Herre. J. Biomed. Semantics, 10 (1): 16 (October 2019)Automatic lung segmentation and quantification of aeration in computed tomography of the chest using 3D transfer learningL. Maiello, L. Ball, M. Micali, F. Iannuzzi, N. Scherf, R. Hoffmann, M. Gama de Abreu, P. Pelosi, and R. Huhle. Front. Physiol., (2021)Domain-specific cues improve robustness of deep learning-based segmentation of CT volumesM. Kloenne, S. Niehaus, L. Lampe, A. Merola, J. Reinelt, I. Roeder, and N. Scherf. Sci. Rep., 10 (1): 10712 (July 2020)Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer LearningL. Maiello, L. Ball, M. Micali, F. Iannuzzi, N. Scherf, R. Hoffmann, M. Gama de Abreu, P. Pelosi, and R. Huhle. Frontiers in Physiology, (February 2022)Forensic age estimation with Bayesian convolutional neural networks based on panoramic dental X-ray imagingW. de Back, S. Seurig, S. Wagner, B. Marré, I. Roeder, and N. Scherf. (2019)On the ontological foundations of cellular developmentP. Burek, N. Scherf, and H. Herre. (May 2020)linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browserJ. Waschke, M. Hlawitschka, K. Anlas, V. Trivedi, I. Roeder, J. Huisken, and N. Scherf. PLoS Comput. Biol., 17 (11): e1009503 (November 2021)Evaluating different k-space undersampling schemes with iterative and deep learning image reconstruction for fast multi-parameter mappingK. Podranski, K. Pine, T. Colnaghi, A. Marek, P. Scheibe, N. Scherf, and N. Weiskopf. (2022)Revealing the learning process in reinforcement learning agents through attention-oriented metricsC. Beylier, S. Hofmann, and N. Scherf. (2024)How to predict relapse in leukemia using time series data: A comparative in silico studyH. Hoffmann, C. Baldow, T. Zerjatke, A. Gottschalk, S. Wagner, E. Karg, S. Niehaus, I. Roeder, I. Glauche, and N. Scherf. PLoS One, 16 (11): e0256585 (November 2021)

PUMA

Disambiguation of "Scherf, Nico"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Scherf, Nico"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes

Please choose a person to relate this publication to

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes