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

Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning

L. 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)
DOI: 10.3389/fphys.2021.725865

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)Benchmarking Large Language Models for Bio-Image Analysis Code GenerationR. Haase, C. Tischer, J. Heriche, and N. Scherf. (April 2024)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)A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability studyE. Williams, M. Kienast, E. Medawar, J. Reinelt, A. Merola, S. Klopfenstein, A. Flint, P. Heeren, A. Poncette, F. Balzer and 2 other author(s). JMIR Medical Informatics, (2023)A pattern-based approach to a cell tracking ontologyP. Burek, N. Scherf, and H. Herre. Procedia Comput. Sci., (2019)Multi-scale imaging and analysis identify pan-embryo cell dynamics of germlayer formation in zebrafishG. Shah, K. Thierbach, B. Schmid, J. Waschke, A. Reade, M. Hlawitschka, I. Roeder, N. Scherf, and J. Huisken. Nat. Commun., 10 (1): 5753 (December 2019)

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

Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning

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 Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning

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

Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning