Daniel R. Berger

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 7

Top Venues

CoRR

ICAT-EGVE

NeuroImage

ECCV (18)

University of Ulm (PHD)

Education History

University of Ulm

PHD

Publications

Shixuan Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev, Jiancheng Yang, Jessica Zhang, Daniel R. Berger, Jeff W. Lichtman, Hanspeter Pfister, Donglai Wei
FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures. CoRR (2024)
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 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
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 243 (2021)
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
Two Stream Active Query Suggestion for Active Learning in Connectomics. ECCV (18) (2020)
Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. ECCV Workshops (6) (2018)
Toufiq Parag, Daniel R. Berger, Lee Kamentsky, Benedikt Staffler, Donglai Wei, Moritz Helmstaedter, Jeff W. Lichtman, Hanspeter Pfister
Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets. CoRR (2018)
Seymour Knowles-Barley, Verena Kaynig, Thouis Ray Jones, Alyssa Wilson, Joshua Morgan, Dongil Lee, Daniel R. Berger, Narayanan Kasthuri, Jeff W. Lichtman, Hanspeter Pfister
RhoanaNet Pipeline: Dense Automatic Neural Annotation. CoRR (2016)
Tobias Meilinger, Jörg Schulte-Pelkum, Julia Frankenstein, Daniel R. Berger, Heinrich H. Bülthoff
Global Landmarks Do Not Necessarily Improve Spatial Performance in Addition to Bodily Self-Movement Cues when Learning a Large-Scale Virtual Environment. ICAT-EGVE (2015)
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
Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation. CoRR (2014)
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
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR (2013)
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
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM (2013)
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
Boundary Learning by Optimization with Topological Constraints. CVPR (2010)
Daniel R. Berger, Jörg Schulte-Pelkum, Heinrich H. Bülthoff
Simulating believable forward accelerations on a stewart motion platform. ACM Trans. Appl. Percept. 7 (1) (2010)
Daniel R. Berger
Spectral texturing for real-time applications. SIGGRAPH (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel R. Berger