| A deep learning algorithm for prediction of age-related eye disease study severity scale for age-related macular degeneration from color fundus photography F Grassmann, J Mengelkamp, C Brandl, S Harsch, ME Zimmermann, ... Ophthalmology 125 (9), 1410-1420, 2018 | 560 | 2018 |
| Color texture classification by integrative co-occurrence matrices C Palm Pattern Recognition 37 (5), 965-976, 2004 | 427 | 2004 |
| Bioimaging of metals by laser ablation inductively coupled plasma mass spectrometry (LA‐ICP‐MS) JS Becker, M Zoriy, A Matusch, B Wu, D Salber, C Palm, JS Becker Mass spectrometry reviews 29 (1), 156-175, 2010 | 361 | 2010 |
| A novel approach to the human connectome: ultra-high resolution mapping of fiber tracts in the brain M Axer, K Amunts, D Grässel, C Palm, J Dammers, H Axer, U Pietrzyk, ... Neuroimage 54 (2), 1091-1101, 2011 | 301 | 2011 |
| Cerebral bioimaging of Cu, Fe, Zn, and Mn in the MPTP mouse model of Parkinson’s disease using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) A Matusch, C Depboylu, C Palm, B Wu, GU Höglinger, MKH Schäfer, ... Journal of the American Society for Mass Spectrometry 21, 161-171, 2010 | 224 | 2010 |
| Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus A Ebigbo, R Mendel, A Probst, J Manzeneder, F Prinz, LA de Souza Jr, ... Gut 69 (4), 615-616, 2020 | 178 | 2020 |
| Computer-aided diagnosis using deep learning in the evaluation of early oesophageal adenocarcinoma A Ebigbo, R Mendel, A Probst, J Manzeneder, LA de Souza Jr, JP Papa, ... Gut 68 (7), 1143-1145, 2019 | 171 | 2019 |
| Bioimaging of metals in brain tissue by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) and metallomics JS Becker, A Matusch, C Palm, D Salber, KA Morton, JS Becker Metallomics 2 (2), 104-111, 2010 | 168 | 2010 |
| MR-based attenuation correction for torso-PET/MR imaging: pitfalls in mapping MR to CT data T Beyer, M Weigert, HH Quick, U Pietrzyk, F Vogt, C Palm, G Antoch, ... European journal of nuclear medicine and molecular imaging 35, 1142-1146, 2008 | 130 | 2008 |
| Semi-supervised segmentation based on error-correcting supervision R Mendel, LA De Souza, D Rauber, JP Papa, C Palm Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 120 | 2020 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 102 | 2020 |
| Classification of color textures by gabor filtering C Palm, TM Lehmann Machine Graphics and Vision 11 (2/3), 195-220, 2002 | 100 | 2002 |
| Color line search for illuminant estimation in real-world scenes TM Lehmann, C Palm JOSA A 18 (11), 2679-2691, 2001 | 99 | 2001 |
| Gabor filtering of complex hue/saturation images for color texture classification C Palm, D Keysers, T Lehmann, K Spitzer Int. Conf. on Computer Vision 2, 45-49, 2000 | 95 | 2000 |
| Current standards and new concepts in MRI and PET response assessment of antiangiogenic therapies in high-grade glioma patients M Hutterer, E Hattingen, C Palm, MA Proescholdt, P Hau Neuro-oncology 17 (6), 784-800, 2015 | 72 | 2015 |
| Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis J Arribas, G Antonelli, L Frazzoni, L Fuccio, A Ebigbo, F Van Der Sommen, ... Gut 70 (8), 1458-1468, 2021 | 71 | 2021 |
| Endoscopic prediction of submucosal invasion in Barrett’s cancer with the use of artificial intelligence: A pilot study A Ebigbo, R Mendel, T Rückert, L Schuster, A Probst, J Manzeneder, ... Endoscopy 53 (09), 878-883, 2021 | 66 | 2021 |
| Preferred stereoselective brain uptake of d-serine—a modulator of glutamatergic neurotransmission D Bauer, K Hamacher, S Bröer, D Pauleit, C Palm, K Zilles, HH Coenen, ... Nuclear medicine and biology 32 (8), 793-797, 2005 | 61 | 2005 |
| Barrett’s esophagus analysis using convolutional neural networks R Mendel, A Ebigbo, A Probst, H Messmann, C Palm Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen …, 2017 | 59 | 2017 |
| A survey on Barrett's esophagus analysis using machine learning LA de Souza Jr, C Palm, R Mendel, C Hook, A Ebigbo, A Probst, ... Computers in biology and medicine 96, 203-213, 2018 | 57 | 2018 |
Thomas M. Deserno, geb. LehmannPLRI, TU BraunschweigVerified email at tu-bs.de