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Prospective Learning: Back to the Future



Joshua T. Vogelstein , Timothy Verstynen , Konrad P. Kording , Leyla Isik , John W. Krakauer , Ralph Etienne-Cummings , Elizabeth L. Ogburn , Carey E. Priebe , Randal Burns , Kwame Kutten , James J. Knierim , James B. Potash , Thomas Hartung , Lena Smirnova , Paul Worley , Alena Savonenko , Ian Phillips , Michael I. Miller , Rene Vidal , Jeremias Sulam , Adam Charles , Noah J. Cowan , Maxim Bichuch , Archana Venkataraman , Chen Li , Nitish Thakor , Justus M Kebschull , Marilyn Albert , Jinchong Xu , Marshall Hussain Shuler , Brian Caffo , Tilak Ratnanather , Ali Geisa , Seung-Eon Roh , Eva Yezerets , Meghana Madhyastha , Javier J. How , Tyler M. Tomita , Jayanta Dey , Ningyuan , Huang , Jong M. Shin , Kaleab Alemayehu Kinfu , Pratik Chaudhari , Ben Baker , Anna Schapiro , Dinesh Jayaraman , Eric Eaton , Michael Platt , Lyle Ungar , Leila Wehbe , Adam Kepecs , Amy Christensen , Onyema Osuagwu , Bing Brunton , Brett Mensh , Alysson R. Muotri , Gabriel Silva , Francesca Puppo , Florian Engert , Elizabeth Hillman , Julia Brown , Chris White , Weiwei Yang


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NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale



Zudi Lin , Donglai Wei , Mariela D. Petkova , Yuelong Wu , Zergham Ahmed , Krishna Swaroop K , Silin Zou , Nils Wendt , Jonathan Boulanger-Weill , Xueying Wang , Nagaraju Dhanyasi , Ignacio Arganda-Carreras , Florian Engert , Jeff Lichtman , Hanspeter Pfister

* The two first authors contributed equally. To be published in the proceedings of MICCAI 2021 

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