| Squidpy: a scalable framework for spatial omics analysis G Palla, H Spitzer, M Klein, D Fischer, AC Schaar, LB Kuemmerle, ... Nature methods 19 (2), 171-178, 2022 | 365* | 2022 |
| Person attribute recognition with a jointly-trained holistic cnn model P Sudowe, H Spitzer, B Leibe Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 229 | 2015 |
| BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... PLoS biology 18 (4), e3000678, 2020 | 127 | 2020 |
| Improving cytoarchitectonic segmentation of human brain areas with self-supervised siamese networks H Spitzer, K Kiwitz, K Amunts, S Harmeling, T Dickscheid Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 86 | 2018 |
| Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study H Spitzer, M Ripart, K Whitaker, F D’Arco, K Mankad, AA Chen, ... Brain 145 (11), 3859-3871, 2022 | 46 | 2022 |
| Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks H Spitzer, K Amunts, S Harmeling, T Dickscheid 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 25 | 2017 |
| Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps H Spitzer, S Berry, M Donoghoe, L Pelkmans, FJ Theis Nature Methods, 1-12, 2023 | 16 | 2023 |
| Convolutional neural networks for cytoarchitectonic brain mapping at large scale C Schiffer, H Spitzer, K Kiwitz, N Unger, K Wagstyl, AC Evans, ... NeuroImage 240, 118327, 2021 | 16 | 2021 |
| Deep learning networks reflect cytoarchitectonic features used in brain mapping K Kiwitz, C Schiffer, H Spitzer, T Dickscheid, K Amunts Scientific Reports 10 (1), 22039, 2020 | 10 | 2020 |
| IO Challenges for Human Brain Atlasing Using Deep Learning Methods-An In-Depth Analysis L Oden, C Schiffer, H Spitzer, T Dickscheid, D Pleiter 2019 27th Euromicro International Conference on Parallel, Distributed and …, 2019 | 10 | 2019 |
| Automated segmentation of cortical layers in BigBrain reveals divergent cortical and laminar thickness gradients in sensory and motor cortices K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... PLOS BIOLOGY 18 (4), e3000678, 2020 | 8 | 2020 |
| Noise transfer for unsupervised domain adaptation of retinal OCT images V Koch, O Holmberg, H Spitzer, J Schiefelbein, B Asani, M Hafner, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 6 | 2022 |
| Non-linear registration of 1μm Histology Sections into 3D 20μm BigBrain Space M Omidyeganeh, C Lepage, K Wagstyl, H Spitzer, T Dickscheid, K Amunts, ... 26th Annual Meeting of the Organization for Human Brain Mapping, 2020 | 5 | 2020 |
| Image-based profiling: a powerful and challenging new data type GP Way, H Spitzer, P Burnham, A Raj, F Theis, S Singh, AE Carpenter PACIFIC SYMPOSIUM ON BIOCOMPUTING 2022, 407-411, 2021 | 3 | 2021 |
| Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach H Spitzer, M Ripart, A Fawaz, LZJ Williams, MELD project, EC Robinson, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Evaluation of OCT biomarker changes in treatment-naive neovascular AMD using a deep semantic segmentation algorithm B Asani, O Holmberg, JB Schiefelbein, M Hafner, T Herold, H Spitzer, ... medRxiv, 2022.06. 16.22276342, 2022 | 1 | 2022 |
| Reconstructing disease dynamics for mechanistic insights and clinical benefit A Frishberg, N Milman, A Alpert, H Spitzer, B Asani, JB Schiefelbein, ... bioRxiv, 2021.11. 17.468952, 2021 | 1 | 2021 |
| Automatic Analysis of Cortical Areas in Whole Brain Histological Sections using Convolutional Neural Networks H Spitzer Strukturelle und funktionelle Organisation des Gehirns, 2020 | 1 | 2020 |
| Compact feature representations for human brain cytoarchitecture using self-supervised learning H Spitzer, K Amunts, S Harmeling, T Dickscheid | 1 | 2018 |
| Predicting OCT-morphological anti-VEGF treatment response in patients with neovascular age-related degeneration using artificial intelligence B Asani, N Horlava, H Spitzer, F Theis, S Priglinger, J Schiefelbein Investigative Ophthalmology & Visual Science 64 (8), 332-332, 2023 | | 2023 |
