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David Chavez
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2020 – today
- 2023
- [c5]Nina I. Shamsi, Lars A. Gjesteby, David Chavez, Michael Snyder, Brian S. Eastwood, Matthew G. Fay, Nathan J. O'Connor, Jack R. Glaser, Charles R. Gerfen, Laura J. Brattain:
Self-Supervised Learning to Improve Topology-Optimized Axon Segmentation and Centerline Detection. ISBI 2023: 1-4 - 2022
- [c4]Dylan Pollack, Lars A. Gjesteby, Michael Snyder, David Chavez, Lee Kamentsky, Kwanghun Chung, Laura J. Brattain:
Axon Tracing and Centerline Detection using Topologically-Aware 3D U-Nets. EMBC 2022: 238-242 - 2020
- [j1]Antoni Castelló Tarrida, David Chavez, Ramon Cladellas Pros:
Association between slides-format and Major's contents: effects on perceived attention and significant learning. Multim. Tools Appl. 79(33-34): 24969-24992 (2020) - [c3]Adam Michaleas, Lars Gjesteby, Michael P. Snyder, David Chavez, Meagan Ash, Matthew A. Melton, Damon G. Lamb, Sara N. Burke, Kevin J. Otto, Lee Kamentsky, Webster Guan, Kwanghun Chung, Laura J. Brattain:
Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment. HPEC 2020: 1-6 - [c2]Harry Anacleto, David Chavez:
Cubic Law and MAP Compensation Techniques for Robust Text-Independent Speaker Identification. IWSSIP 2020: 387-392
2000 – 2009
- 2005
- [c1]Manish Marwah, David Chavez, Don Gillespie, Vivek Velamala:
Efficient, scalable migration of IP telephony calls for enhanced fault-tolerance. ICCCN 2005: 517-522
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