| Machine learning analysis of whole mouse brain vasculature MI Todorov*, JC Paetzold*, O Schoppe, G Tetteh, S Shit, V Efremov, ... Nature Methods 17 (4), 442-449, 2020 | 169* | 2020 |
| Cellular and molecular probing of intact human organs S Zhao, MI Todorov, R Cai, AIM Rami, H Steinke, E Kemter, H Mai, ... Cell 180 (4), 796-812. e19, 2020 | 162 | 2020 |
| Deep learning reveals cancer metastasis and therapeutic antibody targeting in the entire body C Pan*, O Schoppe*, A Parra-Damas, R Cai, MI Todorov, G Gondi, ... Cell 179 (7), 1661-1676. e19, 2019 | 132 | 2019 |
| Measuring the performance of neural models O Schoppe, NS Harper, BDB Willmore, AJ King, JWH Schnupp Frontiers in computational neuroscience 10, 10, 2016 | 63 | 2016 |
| Network receptive field modeling reveals extensive integration and multi-feature selectivity in auditory cortical neurons NS Harper*, O Schoppe*, BDB Willmore, Z Cui, JWH Schnupp, AJ King PLoS computational biology 12 (11), e1005113, 2016 | 47 | 2016 |
| Deep learning-enabled multi-organ segmentation in whole-body mouse scans O Schoppe, C Pan, J Coronel, H Mai, Z Rong, MI Todorov, A Müskes, ... Nature communications 11 (1), 5626, 2020 | 44 | 2020 |
| Modeling auditory coding: from sound to spikes M Rudnicki, O Schoppe, M Isik, F Völk, W Hemmert Cell and tissue research 361, 159-175, 2015 | 43 | 2015 |
| Incorporating midbrain adaptation to mean sound level improves models of auditory cortical processing BDB Willmore*, O Schoppe*, AJ King, JWH Schnupp, NS Harper Journal of Neuroscience 36 (2), 280-289, 2016 | 39 | 2016 |
| Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective AB Qasim*, I Ezhov*, S Shit, O Schoppe, JC Paetzold, A Sekuboyina, ... arXiv preprint arXiv:2004.10734, 2020 | 27 | 2020 |
| Gold nanoparticle mediated multi-modal CT imaging of Hsp70 membrane-positive tumors MA Kimm, M Shevtsov, C Werner, W Sievert, W Zhiyuan, O Schoppe, ... Cancers 12 (5), 1331, 2020 | 15 | 2020 |
| Todorov-Vo ̈ lgyi, K MI Todorov, JC Paetzold, O Schoppe, G Tetteh, S Shit, V Efremov Du ̈ ring, M., Dichgans, M., Piraud, M. et al, 442-449, 2020 | 13 | 2020 |
| Transfer learning from synthetic data reduces need for labels to segment brain vasculature and neural pathways in 3D JC Paetzold*, O Schoppe*, R Al-Maskari, G Tetteh, V Efremov, MI Todorov, ... International Conference on Medical Imaging with Deep Learning--Extended …, 2019 | 9 | 2019 |
| METGAN: generative tumour inpainting and modality synthesis in light sheet microscopy I Horvath, J Paetzold, O Schoppe, R Al-Maskari, I Ezhov, S Shit, H Li, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 5 | 2022 |
| Multifunctional Laparoscopic Trocar With Built-in Fascial Closure and Stabilization Q Wan*, O Schoppe*, S Gunasekaran, D Holland, E Roche, HC Hur, ... Journal of Medical Devices 7 (3), 030912, 2013 | 2 | 2013 |
| Deep Convolutional Neural Networks for Biomedical Image Analysis O Schoppe Technische Universität München, 2021 | | 2021 |
Bjoern H MenzeUniversität Zürich, TU MünchenVerified email at uzh.ch
