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Hannah Spitzer
Hannah Spitzer
University Hospital Munich (LMU) & Helmholtz Munich
Verified email at helmholtz-muenchen.de - Homepage
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Cited by
Cited by
Year
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
340*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
2232015
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
1222020
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
842018
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
402022
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
252017
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
142021
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
112023
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
102019
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
92020
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
82020
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
42020
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
32022
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
32021
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
12023
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
12022
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
12021
Automatic Analysis of Cortical Areas in Whole Brain Histological Sections using Convolutional Neural Networks
H Spitzer
Strukturelle und funktionelle Organisation des Gehirns, 2020
12020
Compact feature representations for human brain cytoarchitecture using self-supervised learning
H Spitzer, K Amunts, S Harmeling, T Dickscheid
12018
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
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