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Author Title Type [ Year(Asc)]
Filters: Author is Jeff L Rhoades  [Clear All Filters]
2024
Patton W, Rhoades JL, Zouinkhi M, Ackerman DG, Malin-Mayor C, Adjavon D, Heinrich L, Bennett D, Zubov Y, Team CMProject et al..  2024.  DaCapo: a modular deep learning framework for scalable 3D image segmentation. arXiv.
Ackerman D, Avetissian E, Bleck CKE, Bogovic JA, Innerberger M, Korff W, Li W-P, Lu Z, Petruncio A, Preibisch S et al..  2024.  Data Release: High-Resolution Imaging and Segmentation of P7 Mouse Tissue Microarchitecture Using FIB-SEM and Machine Learning. bioRxiv.
Zouinkhi M, Rhoades JL, Weigel AV.  2024.  Hot-Distance: Combining One-Hot and Signed Distance Embeddings for Segmentation. arXiv. :2406.17936.
2023
Nguyen TM, Thomas LA, Rhoades JL, Ricchi I, Yuan XCindy, Sheridan A, Hildebrand DGC, Funke J, Regehr WG, Lee W-CAllen.  2023.  Structured cerebellar connectivity supports resilient pattern separation.. Nature. 613(7944):543-549.
2018
Piatkevich KD, Jung EE, Straub C, Linghu C, Park D, Suk H-J, Hochbaum DR, Goodwin D, Pnevmatikakis E, Pak N et al..  2018.  A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters.. Nature Chemical Biology.