Boundary Learning by Optimization with Topological Constraints. - Viren Jain; Benjamin Bollmann; Mark Richardson; Daniel R. Berger; Moritz Helmstaedter; Kevin L. Briggman; Winfried Denk; Jared B. Bowden; John M. Mendenhall; Wickliffe C. Abraham; Kristen M. Harris; Narayanan Kasthuri; et al. (CVPR, 2010)

Scalable Interactive Visualization for Connectomics. - Daniel Haehn; John Hoffer; Brian Matejek; Adi Suissa-Peleg; Ali K. Al-Awami; Lee Kamentsky; Felix Gonda; Eagon Meng; William Zhang; Richard Schalek; Alyssa Wilson; Toufiq Parag; et al. (Informatics, 2017)

Two Stream Active Query Suggestion for Active Learning in Connectomics. - Zudi Lin; Donglai Wei 001; Won-Dong Jang; Siyan Zhou; Xupeng Chen; Xueying Wang 002; Richard Schalek; Daniel R. Berger; Brian Matejek; Lee Kamentsky; Adi Suissa-Peleg; Daniel Haehn; et al. (ECCV (18), 2020)

Learning Guided Electron Microscopy with Active Acquisition. - Lu Mi; Hao Wang 014; Yaron Meirovitch; Richard Schalek; Srinivas C. Turaga; Jeff W. Lichtman; Aravinthan D. T. Samuel; Nir Shavit (MICCAI (5), 2020)

High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network. - Yulun Zhang 001; Donglai Wei 001; Richard Schalek; Yuelong Wu; Stephen G. Turney; Jeff Lichtman; Hanspeter Pfister; Yun Fu 001 (ISBI, 2023)

Two-stage error detection to improve electron microscopy image mosaicking. - Jiahao Shi; Hongyu Ge; Shuohong Wang; Donglai Wei 001; Jiancheng Yang; Ao Cheng; Richard Schalek; Jun Guo; Jeff Lichtman; Lirong Wang; Ruobing Zhang (Comput. Biol. Medicine, 2024)