Hannah Spitzer
Hannah Spitzer
University Hospital Munich (LMU) & Helmholtz Munich
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
Image-based profiling: a powerful and challenging new data type
GP Way, H Spitzer, P Burnham, A Raj, F Theis, S Singh, AE Carpenter
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
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
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
Automatic Analysis of Cortical Areas in Whole Brain Histological Sections using Convolutional Neural Networks
H Spitzer
Strukturelle und funktionelle Organisation des Gehirns, 2020
Compact feature representations for human brain cytoarchitecture using self-supervised learning
H Spitzer, K Amunts, S Harmeling, T Dickscheid
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
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