Daniel R. Berger

16 papers A* 2B 1Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Quantifying axonal features of human superficial white matter from three-dimensional multibeam serial electron microscopy data assisted by deep learning.
NeuroImage
Qiyuan Tian, Chanon Ngamsombat, Hong-Hsi Lee, Daniel R. Berger, Yuelong Wu, Qiuyun Fan, Berkin Bilgic, Ziyu Li, Dmitry S. Novikov, Els Fieremans, Bruce R. Rosen, Jeff W. Lichtman, Susie Yi Huang
2024 — conf
EM-Compressor: Electron Microscopy Image Compression in Connectomics with Variational Autoencoders.
MOVI@MICCAI
Yicong Li, Core Francisco Park, Daniel Xenes, Caitlyn Bishop, Daniel R. Berger, Aravinthan D. T. Samuel, Brock A. Wester, Jeff W. Lichtman, Hanspeter Pfister, Wanhua Li, Yaron Meirovitch
2024 J jnl
FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures.
CoRR
Shixuan Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev, Jiancheng Yang, Jessica Zhang, Daniel R. Berger, Jeff W. Lichtman, Hanspeter Pfister, Donglai Wei
2021 J jnl
Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.
NeuroImage
Susie Yi Huang, Thomas Witzel, Boris Keil, Alina Scholz, Mathias Davids, Peter Dietz, Elmar Rummert, Rebecca Ramb, John E. Kirsch, Anastasia Yendiki, Qiuyun Fan, Qiyuan Tian, Gabriel Ramos-Llordén, Hong-Hsi Lee, Aapo Nummenmaa, Berkin Bilgic, Kawin Setsompop, Fuyixue Wang, Alexandru Vlad Avram, Michal E. Komlosh, Dan Benjamini, Kulam Najmudeen Magdoom, Sudhir K. Pathak, Walter Schneider, Dmitry S. Novikov, Els Fieremans, Slimane Tounekti, Choukri Mekkaoui, Jean Augustinack, Daniel R. Berger, Alexander Shapson-Coe, Jeff Lichtman, Peter J. Basser, Lawrence L. Wald, Bruce R. Rosen
2020 — conf
Two Stream Active Query Suggestion for Active Learning in Connectomics.
ECCV (18)
Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister
2018 — conf
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets.
ECCV Workshops (6)
Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
2018 J jnl
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets.
CoRR
Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
2016 J jnl
RhoanaNet Pipeline: Dense Automatic Neural Annotation.
CoRR
Seymour Knowles-Barley, Verena Kaynig, Thouis Ray Jones, Alyssa Wilson, Joshua Morgan, Dongil Lee, Daniel R. Berger, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister
2015 — conf
Global Landmarks Do Not Necessarily Improve Spatial Performance in Addition to Bodily Self-Movement Cues when Learning a Large-Scale Virtual Environment.
ICAT-EGVE
Tobias Meilinger, Jörg Schulte-Pelkum, Julia Frankenstein, Daniel R. Berger, Heinrich H. Bülthoff
2014 J jnl
Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation.
CoRR
William R. Gray Roncal, Verena Kaynig-Fittkau, Narayanan Kasthuri, Daniel R. Berger, Joshua T. Vogelstein, Lindsey R. Fernandez, Jeff W. Lichtman, R. Jacob Vogelstein, Hanspeter Pfister, Gregory D. Hager
2013 J jnl
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience.
CoRR
Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
2013 B conf
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.
SSDBM
Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein
2010 A* conf
Boundary Learning by Optimization with Topological Constraints.
CVPR
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, Ken J. Hayworth, Richard Schalek, Juan Carlos Tapia, Jeff W. Lichtman, H. Sebastian Seung
2010 J jnl
Simulating believable forward accelerations on a stewart motion platform.
ACM Trans. Appl. Percept.
Daniel R. Berger, Jörg Schulte-Pelkum, Heinrich H. Bülthoff
2007 — —
Sensor fusion in the perception of self motion.
Daniel R. Berger
2003 A* conf
Spectral texturing for real-time applications.
SIGGRAPH
Daniel R. Berger