E-LIB Suche - Ergebnisse für: Kainz, Philipp

1

AI-Enhanced Blood Cell Recognition and Analysis: Advancing ..:

Campos-Medina, Manuel ; Blumer, Aiden ; Kraus-Füreder, Patrick...
Journal of Molecular Pathology. 5 (2024) 1 - p. 28-44 , 2024

Link: https://doi.org/10.3390/..

2

Analysis of Osteosarcoma Cell Lines and Patient Tissue Usin..:

Dorn, Anna Rebecca ; Neff, Sara ; Hupp, Sophia...
Organoids. 3 (2024) 1 - p. 35-53 , 2024

Link: https://doi.org/10.3390/..

3

Development and Characterization of a Novel Neuropilin-2 An..:

Förster, Sarah ; Chong, Yeeting E. ; Siefker, David...
Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 42 (2023) 5 - p. 157-165 , 2023

Link: https://doi.org/10.1089/..

4

Automated Data Adaptation for the Segmentation of Blood Ves..:

, In: Communications in Computer and Information Science; Biomedical Engineering Systems and Technologies,

Haghofer, Andreas ; Ebner, Thomas ; Kainz, Philipp... - p. 53-72 , 2023

Link: https://doi.org/10.1007/..

5

A 3D In Vivo Model for Studying Human Renal Cystic Tissue a..:

Bichlmayer, Eva-Marie ; Mahl, Lina ; Hesse, Leo...
Cells. 11 (2022) 15 - p. 2269 , 2022

Link: https://doi.org/10.3390/..

6

Deep Learning-Based Image Analysis for the Quantification o..:

Kuri, Paulina Mena ; Pion, Eric ; Mahl, Lina...
Cells. 11 (2022) 15 - p. 2321 , 2022

Link: https://doi.org/10.3390/..

7

Evolutionary compromises in fungal fitness: hydrophobins ca..:

Cai, Feng ; Gao, Renwei ; Zhao, Zheng...
The ISME Journal. 14 (2020) 10 - p. 2610-2624 , 2020

Link: https://doi.org/10.1038/..

8

Gland segmentation in colon histology images: The glas chal..:

Sirinukunwattana, Korsuk ; Pluim, Josien P.W. ; Chen, Hao...
Medical Image Analysis. 35 (2017) - p. 489-502 , 2017

Link: https://doi.org/10.1016/..

9

Segmentation and classification of colon glands with deep c..:

Kainz, Philipp ; Pfeiffer, Michael ; Urschler, Martin
PeerJ. 5 (2017) - p. e3874 , 2017

Link: https://doi.org/10.7717/..

10

Collaborative analysis of multi-gigapixel imaging data usin..:

Marée, Raphaël ; Rollus, Loïc ; Stévens, Benjamin...
Bioinformatics. 32 (2016) 9 - p. 1395-1401 , 2016

Link: https://doi.org/10.1093/..

11

Learning discriminative classification models for grading a..:

Kainz, Philipp ; Mayrhofer-Reinhartshuber, Michael ; Sedivy, Roland.
Current Directions in Biomedical Engineering. 2 (2016) 1 - p. 419-422 , 2016

Link: https://doi.org/10.1515/..

12

Training echo state networks for rotation-invariant bone ma..:

Kainz, Philipp ; Burgsteiner, Harald ; Asslaber, Martin.
Neural Computing and Applications. 28 (2016) 6 - p. 1277-1292 , 2016

Link: https://doi.org/10.1007/..

13

IQM: An Extensible and Portable Open Source Application for..:

Kainz, Philipp ; Mayrhofer-Reinhartshuber, Michael ; Ahammer, Helmut.
PLOS ONE. 10 (2015) 1 - p. e0116329 , 2015

Link: https://doi.org/10.1371/..

14

Subcutaneous fat patterning in athletes: selection of appro..:

Müller, Wolfram ; Lohman, Timothy G ; Stewart, Arthur D...
British Journal of Sports Medicine. 50 (2015) 1 - p. 45-54 , 2015

Link: https://doi.org/10.1136/..

15

Body composition in sport: interobserver reliability of a n..:

Müller, Wolfram ; Horn, Martin ; Fürhapter-Rieger, Alfred...
British Journal of Sports Medicine. 47 (2013) 16 - p. 1036-1043 , 2013

Link: https://doi.org/10.1136/..