| Large scale image segmentation with structured loss based deep learning for connectome reconstruction J Funke, F Tschopp, W Grisaitis, A Sheridan, C Singh, S Saalfeld, ... IEEE transactions on pattern analysis and machine intelligence 41 (7), 1669-1680, 2018 | 225 | 2018 |
| Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set J Buhmann, A Sheridan, C Malin-Mayor, P Schlegel, S Gerhard, ... Nature methods 18 (7), 771-774, 2021 | 136 | 2021 |
| The neuroanatomical ultrastructure and function of a biological ring attractor DB Turner-Evans, KT Jensen, S Ali, T Paterson, A Sheridan, RP Ray, ... Neuron 108 (1), 145-163. e10, 2020 | 134 | 2020 |
| Induction of lysosomal and mitochondrial biogenesis by AMPK phosphorylation of FNIP1 N Malik, BI Ferreira, PE Hollstein, SD Curtis, E Trefts, S Weiser Novak, ... Science 380 (6642), eabj5559, 2023 | 93 | 2023 |
| Local shape descriptors for neuron segmentation A Sheridan, TM Nguyen, D Deb, WCA Lee, S Saalfeld, SC Turaga, ... Nature methods 20 (2), 295-303, 2023 | 59 | 2023 |
| Structured cerebellar connectivity supports resilient pattern separation TM Nguyen, LA Thomas, JL Rhoades, I Ricchi, XC Yuan, A Sheridan, ... Nature 613 (7944), 543-549, 2023 | 40 | 2023 |
| A deep structured learning approach towards automating connectome reconstruction from 3d electron micrographs J Funke, FD Tschopp, W Grisaitis, A Sheridan, C Singh, S Saalfeld, ... arXiv preprint arXiv:1709.02974 1 (8), 2017 | 31 | 2017 |
| Roadmap on deep learning for microscopy G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ... ArXiv, 2023 | 21 | 2023 |
| Content-aware frame interpolation (CAFI): Deep Learning-based temporal super-resolution for fast bioimaging M Priessner, DCA Gaboriau, A Sheridan, T Lenn, C Garzon-Coral, ... Nature Methods 21 (2), 322-330, 2024 | 11 | 2024 |
| The neuroanatomical ultrastructure and function of a biological ring attractor DB Turner-Evans, KT Jensen, S Ali, T Paterson, A Sheridan, RP Ray, ... Neuron 109 (9), 1582, 2021 | 8 | 2021 |
| COVID-19: The creative fightback. How brands can help people to win the war to survive, then revive A Sheridan, A Debia, L Tian, L Franke, R Rodgers | 7 | 2020 |
| Structured connectivity in the cerebellum enables noise-resilient pattern separation TM Nguyen, LA Thomas, JL Rhoades, I Ricchi, XC Yuan, A Sheridan, ... bioRxiv, 2021.11. 29.470455, 2021 | 6 | 2021 |
| A deep learning-based strategy for producing dense 3D segmentations from sparsely annotated 2D images VV Thiyagarajan, A Sheridan, KM Harris, U Manor bioRxiv, 2024.06. 14.599135, 2024 | 1 | 2024 |
| Publisher Correction: Structured cerebellar connectivity supports resilient pattern separation TM Nguyen, LA Thomas, JL Rhoades, I Ricchi, XC Yuan, A Sheridan, ... Nature 614 (7946), E18, 2023 | 1 | 2023 |
| Sparse Annotation is Sufficient for Bootstrapping Dense Neuron Segmentation U Manor, V Thiyagarajan, K Harris, A Sheridan | | 2024 |
| Sparse Annotation is Sufficient for Bootstrapping Dense Segmentation VV Thiyagarajan, A Sheridan, KM Harris, U Manor bioRxiv, 2024 | | 2024 |
| Unpaired Image Enhancement for Neurite Segmentation in x-ray Tomography JL Rhoades, A Sheridan, M Narwani, B Reicher, M Larson, S Xie, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | | 2023 |
| Research briefing A Sheridan, J Funke Nature Methods 20, 189-190, 2023 | | 2023 |
| Artificial intelligence gives neuron reconstruction a performance boost A Sheridan, J Funke NATURE METHODS, 2023 | | 2023 |
| Ultrastructural readout of in vivo synaptic activity for functional connectomics A Simon, A Roth, A Sheridan, M Fişek, V Marra, C Racca, J Funke, ... BioRxiv, 2021.07. 07.451278, 2021 | | 2021 |
