| Deep learning–based segmentation and quantification in experimental kidney histopathology N Bouteldja, BM Klinkhammer, RD Bülow, P Droste, SW Otten, ... Journal of the American Society of Nephrology 32 (1), 52-68, 2021 | 139 | 2021 |
| OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions MP Heinrich, O Oktay, N Bouteldja Medical image analysis 54, 1-9, 2019 | 86 | 2019 |
| Next-Generation Morphometry for pathomics-data mining in histopathology DL Hölscher*, N Bouteldja*, M Joodaki, ML Russo, YC Lan, AV Sadr, ... Nature Communications 14 (1), 470, 2023 | 64 | 2023 |
| Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ... Modern Pathology 35 (12), 1759-1769, 2022 | 50 | 2022 |
| Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations C Lucas, A Kemmling, N Bouteldja, LF Aulmann, A Madany Mamlouk, ... Frontiers in neurology 9, 989, 2018 | 41 | 2018 |
| Multimodal 3D medical image registration guided by shape encoder–decoder networks M Blendowski*, N Bouteldja*, MP Heinrich International journal of computer assisted radiology and surgery 15, 269-276, 2020 | 39 | 2020 |
| Current kidney function parameters overestimate kidney tissue repair in reversible experimental kidney disease BM Klinkhammer, S Buchtler, S Djudjaj, N Bouteldja, R Palsson, ... Kidney international 102 (2), 307-320, 2022 | 24 | 2022 |
| Freifrau von Stillfried S N Bouteldja, BM Klinkhammer, RD Bülow, P Droste, SW Otten Moellmann J, Sheehan SM, Korstanje R, Menzel S, Bankhead P, Mietsch M …, 2021 | 24 | 2021 |
| Improving unsupervised stain-to-stain translation using self-supervision and meta-learning N Bouteldja, BM Klinkhammer, T Schlaich, P Boor, D Merhof Journal of Pathology Informatics 13, 100107, 2022 | 23 | 2022 |
| Finerenone added to RAS/SGLT2 blockade for CKD in Alport syndrome. Results of a randomized controlled trial with Col4a3−/− mice Z Zhu, KAT Rosenkranz, Y Kusunoki, C Li, M Klaus, O Gross, ML Angelotti, ... Journal of the American Society of Nephrology 34 (9), 1513-1520, 2023 | 19 | 2023 |
| Detection of PatIent-Level distances from single cell genomics and pathomics data with Optimal Transport (PILOT) M Joodaki, M Shaigan, V Parra, RD Bülow, C Kuppe, DL Hölscher, ... Molecular systems biology 20 (2), 57-74, 2024 | 14 | 2024 |
| Stain-independent deep learning–based analysis of digital kidney histopathology N Bouteldja, DL Hölscher, BM Klinkhammer, RD Buelow, J Lotz, N Weiss, ... The American Journal of Pathology 193 (1), 73-83, 2023 | 12 | 2023 |
| Tackling stain variability using CycleGAN-based stain augmentation N Bouteldja, DL Hölscher, RD Bülow, ISD Roberts, R Coppo, P Boor Journal of Pathology Informatics 13, 100140, 2022 | 11 | 2022 |
| Large-scale extraction of interpretable features provides new insights into kidney histopathology–A proof-of-concept study L Gupta, BM Klinkhammer, C Seikrit, N Fan, N Bouteldja, P Gräbel, ... Journal of Pathology Informatics 13, 100097, 2022 | 9 | 2022 |
| Immune cell infiltration pattern in non-small cell lung cancer PDX models is a model immanent feature and correlates with a distinct molecular and phenotypic make-up E Oswald, D Bug, A Grote, K Lashuk, N Bouteldja, D Lenhard, A Löhr, ... Journal for immunotherapy of cancer 10 (4), 2022 | 8 | 2022 |
| Obelisk-one kernel to solve nearly everything: unified 3d binary convolutions for image analysis MP Heinrich, O Oktay, N Bouteldja Medical Imaging with Deep Learning, 2018 | 7 | 2018 |
| Deep multi-modal encoder-decoder networks for shape constrained segmentation and joint representation learning N Bouteldja, D Merhof, J Ehrhardt, MP Heinrich Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019 | 5 | 2019 |
| Next-Generation Morphometry for pathomics-data mining in histopathology P Boor, D Hölscher, N Bouteldja, M Joodaki, M Russo, YC Lan, A Sadr, ... | 2 | 2022 |
| Deep 3D Encoder-Decoder Networks with Applications to Organ Segmentation N Bouteldja, MP Heinrich Student Conference 2018, Medical Engineering Science, Medical Informatics …, 2018 | 1 | 2018 |
| PDGF-D Is Dispensable for the Development and Progression of Murine Alport Syndrome EAM Firat, EM Buhl, N Bouteldja, B Smeets, U Eriksson, P Boor, ... The American Journal of Pathology 194 (5), 641-655, 2024 | | 2024 |
