| Multi-class texture analysis in colorectal cancer histology JN Kather, CA Weis, F Bianconi, SM Melchers, LR Schad, T Gaiser, ... Scientific reports 6, 27988, 2016 | 198 | 2016 |
| Assessment of 3D DCE-MRI of the kidneys using non-rigid image registration and segmentation of voxel time courses FG Zöllner, R Sance, P Rogelj, MJ Ledesma-Carbayo, J Rørvik, A Santos, ... Computerized Medical Imaging and Graphics 33 (3), 171-181, 2009 | 140 | 2009 |
| A generic support vector machine model for preoperative glioma survival associations KE Emblem, MC Pinho, FG Zöllner, P Due-Tonnessen, JK Hald, ... Radiology 275 (1), 228-234, 2015 | 71 | 2015 |
| Automatic segmentation of unstained living cells in bright-field microscope images M Tscherepanow, F Zöllner, M Hillebrand, F Kummert Advances in Mass Data Analysis of Images and Signals in Medicine …, 2008 | 68 | 2008 |
| UMMPerfusion: an open source software tool towards quantitative MRI perfusion analysis in clinical routine FG Zöllner, G Weisser, M Reich, S Kaiser, SO Schoenberg, SP Sourbron, ... Journal of digital imaging 26 (2), 344-352, 2013 | 65 | 2013 |
| Quantitative and qualitative 23Na MR imaging of the human kidneys at 3 T: before and after a water load S Haneder, S Konstandin, JN Morelli, AM Nagel, FG Zoellner, LR Schad, ... Radiology 260 (3), 857-865, 2011 | 65 | 2011 |
| Quantitative Renal Perfusion Measurements in a Rat Model of Acute Kidney Injury at 3T: Testing Inter-and Intramethodical Significance of ASL and DCE-MRI F Zimmer, FG Zöllner, S Hoeger, S Klotz, C Tsagogiorgas, BK Krämer, ... PloS one 8 (1), e53849, 2013 | 60 | 2013 |
| SVM-based glioma grading: Optimization by feature reduction analysis FG Zöllner, KE Emblem, LR Schad Zeitschrift für Medizinische Physik 22 (3), 205-214, 2012 | 59 | 2012 |
| Comparison of grey matter volume and thickness for analyzing cortical changes in chronic schizophrenia: A matter of surface area, grey/white matter intensity contrast, and … L Kong, CJ Herold, F Zöllner, DH Salat, MM Lässer, LA Schmid, ... Psychiatry Research: Neuroimaging, 2014 | 54 | 2014 |
| Myocardial T 1-mapping at 3T using saturation-recovery: reference values, precision and comparison with MOLLI S Weingärtner, NM Meßner, J Budjan, D Loßnitzer, U Mattler, ... Journal of Cardiovascular Magnetic Resonance 18 (1), 84, 2016 | 52 | 2016 |
| Assessment of Kidney Volumes From MRI: Acquisition and Segmentation Techniques FG Zöllner, E Svarstad, AZ Munthe-Kaas, LR Schad, A Lundervold, ... American Journal of Roentgenology 199 (5), 1060-1069, 2012 | 51 | 2012 |
| Continuous representation of tumor microvessel density and detection of angiogenic hotspots in histological whole-slide images. JN Kather, A Marx, CC Reyes-Aldasoro, LR Schad, FG Zöllner, CA Weis Oncotarget, 2015 | 49 | 2015 |
| Fully-automated quality assurance in multi-center studies using MRI phantom measurements M Davids, FG Zöllner, M Ruttorf, F Nees, H Flor, G Schumann, LR Schad, ... Magnetic resonance imaging 32 (6), 771-780, 2014 | 47 | 2014 |
| Wavelet-based segmentation of renal compartments in DCE-MRI of human kidney: Initial results in patients and healthy volunteers S Li, FG Zöllner, AD Merrem, Y Peng, J Roervik, A Lundervold, LR Schad Computerized Medical Imaging and Graphics 36 (2), 108-118, 2012 | 47 | 2012 |
| Quantitative lung perfusion evaluation using Fourier decomposition perfusion MRI Å Kjørstad, DMR Corteville, A Fischer, T Henzler, G Schmid‐Bindert, ... Magnetic Resonance in Medicine 72 (2), 558-562, 2014 | 45 | 2014 |
| Predictive modeling in glioma grading from MR perfusion images using support vector machines KE Emblem, FG Zoellner, B Tennoe, B Nedregaard, T Nome, ... Magnetic Resonance in Medicine 60 (4), 945-952, 2008 | 40 | 2008 |
| Quantitative sodium MRI of kidney FG Zöllner, S Konstandin, J Lommen, J Budjan, SO Schoenberg, ... NMR in Biomedicine 29 (2), 197-205, 2016 | 36 | 2016 |
| Comparison of automated brain segmentation using a brain phantom and patients with early Alzheimer's dementia or mild cognitive impairment I Fellhauer, FG Zöllner, J Schröder, C Degen, L Kong, M Essig, ... Psychiatry Research: Neuroimaging 233 (3), 299-305, 2015 | 32 | 2015 |
| Diffusion-weighted MR imaging of pancreatic cancer: A comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models N Kartalis, GC Manikis, L Loizou, N Albiin, FG Zöllner, M Del Chiaro, ... European Journal of Radiology Open 3, 79-85, 2016 | 30 | 2016 |
| Machine learning in preoperative glioma MRI: Survival associations by perfusion‐based support vector machine outperforms traditional MRI KE Emblem, P Due‐Tonnessen, JK Hald, A Bjornerud, MC Pinho, ... Journal of Magnetic Resonance Imaging 40 (1), 47-54, 2014 | 30 | 2014 |
Arvid LundervoldUniversity of BergenVerified email at biomed.uib.no
