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Christian Wohlfart
Christian Wohlfart
Roche Information Solutions @ Roche Diagnostics
在 roche.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data
B Wessel, M Huber, C Wohlfart, U Marschalk, D Kosmann, A Roth
ISPRS Journal of Photogrammetry and Remote Sensing 139, 171-182, 2018
3712018
Cold hardiness of Pinus nigra Arnold as influenced by geographic origin, warming, and extreme summer drought
J Kreyling, GLB Wiesenberg, D Thiel, C Wohlfart, G Huber, J Walter, ...
Environmental and Experimental Botany 78, 99-108, 2012
1022012
Social–ecological challenges in the Yellow River basin (China): a review
C Wohlfart, C Kuenzer, C Chen, G Liu
Environmental Earth Sciences 75, 1-20, 2016
782016
Mapping bushmeat hunting pressure in Central Africa
S Ziegler, JE Fa, C Wohlfart, B Streit, S Jacob, M Wegmann
Biotropica 48 (3), 405-412, 2016
782016
Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban …
C Wohlfart, B Mack, G Liu, C Kuenzer
Applied Geography 85, 73-88, 2017
672017
Assessing forest cover dynamics and forest perception in the Atlantic Forest of Paraguay, combining remote sensing and household level data
E Da Ponte, B Mack, C Wohlfart, O Rodas, M Fleckenstein, N Oppelt, ...
Forests 8 (10), 389, 2017
642017
Mapping threatened dry deciduous dipterocarp forest in South-east Asia for conservation management
C Wohlfart, M Wegmann, P Leimgruber
Tropical Conservation Science 7 (4), 597-613, 2014
592014
TerraSAR-X and wetlands: A review
C Wohlfart, K Winkler, A Wendleder, A Roth
Remote Sensing 10 (6), 916, 2018
362018
A River Basin over the course of time: Multi-temporal analyses of land surface dynamics in the Yellow River Basin (China) based on medium resolution remote sensing data
C Wohlfart, G Liu, C Huang, C Kuenzer
Remote Sensing 8 (3), 186, 2016
362016
TanDEM-X PolarDEM 90 m of Antarctica: Generation and error characterization
B Wessel, M Huber, C Wohlfart, A Bertram, N Osterkamp, U Marschalk, ...
The Cryosphere 15 (11), 5241-5260, 2021
292021
The Hitchhiker’s guide to island endemism: biodiversity and endemic perennial plant species in roadside and surrounding vegetation
SDH Irl, MJ Steinbauer, L Epperlein, DEV Harter, A Jentsch, S Pätz, ...
Biodiversity and conservation 23, 2273-2287, 2014
222014
Accuracy assessment of the global TanDEM-X Digital Elevation Model with GPS data, ISPRS J. Photogramm., 139, 171–182
B Wessel, M Huber, C Wohlfart, U Marschalk, D Kosmann, A Roth
162018
More than counting pixels–perspectives on the importance of remote sensing training in ecology and conservation
A Bernd, D Braun, A Ortmann, YZ Ulloa‐Torrealba, C Wohlfart, A Bell
Remote Sensing in Ecology and Conservation 3 (1), 38-47, 2017
132017
Investigation of Tandem-X penetration depth over the Greenland Ice Sheet
S Abdullahi, B Wessel, T Leichtle, M Huber, C Wohlfart, A Roth
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
112018
Field data for remote sensing data analysis
C Wohlfart, M Bevanda, N Horning, B Leutner, M Wegmann
Remote Sensing and GIS for Ecologists: Using Open Source Software, 136-149, 2016
42016
Digital profiling of cancer transcriptomes from histology images with grouped vision attention
Y Zheng, M Pizurica, F Carrillo-Perez, H Noor, W Yao, C Wohlfart, ...
bioRxiv, 2023
32023
TanDEM-X DEM derived elevation changes of the Greenland Ice Sheet
C Wohlfart, B Wessel, M Huber, T Leichtle, S Abdullahi, S Kerkhoff, A Roth
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
22018
The Yellow River Basin in Transition-Multi-faceted Land Cover Change Analysis in the Yellow River Basin in the Context of Global Change Using Multi-sensor Remote Sensing Imagery
C Wohlfart
Universität Würzburg, 2018
22018
Graph-based multi-modality integration for prediction of cancer subtype and severity
D Duroux, C Wohlfart, K Van Steen, A Vladimirova, M King
Scientific Reports 13 (1), 19653, 2023
12023
Multi-modal machine learning approaches for predicting cancer type and Gleason grade leveraging public TCGA data
C Wohlfart, E Klaiman, J Witkowski, M King, J Gildenblat, O Etz-Hadar, ...
Cancer Research 84 (6_Supplement), 4970-4970, 2024
2024
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