Jeff Lichtman

According to our database1, Jeff Lichtman authored at least 58 papers between 2006 and 2024.

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Bibliography

2024
- Visual Analysis of Neuronal Connectivity Motifs.
IEEE Trans. Vis. Comput. Graph., January, 2024

FreSeg: Frenet-Frame-based Part Segmentation for 3D Curvilinear Structures.
CoRR, 2024

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images.
CoRR, 2024

Two-stage error detection to improve electron microscopy image mosaicking.
Comput. Biol. Medicine, 2024

2023
High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Learning to Correct Sloppy Annotations in Electron Microscopy Volumes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes.
IEEE Trans. Medical Imaging, 2022

Connectomics Annotation Metadata Standardization for Increased Accessibility and Queryability.
Frontiers Neuroinformatics, 2022

2021
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, 2021

PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics.
CoRR, 2021

VICE: Visual Identification and Correction of Neural Circuit Errors.
Comput. Graph. Forum, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Guided Electron Microscopy with Active Acquisition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.
Proceedings of the Computer Vision - ECCV 2020, 2020

A Topological Nomenclature for 3D Shape Analysis in Connectomics.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Multispectral tracing in densely labeled mouse brain with nTracer.
Bioinform., 2019

2018
High Throughput Connectomics (Dagstuhl Seminar 18481).
Dagstuhl Reports, 2018

Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Guided Proofreading of Automatic Segmentations for Connectomics.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Whole-brain serial-section electron microscopy in larval zebrafish.
Nat., 2017

Scalable Interactive Visualization for Connectomics.
Informatics, 2017

Morphological Error Detection in 3D Segmentations.
CoRR, 2017

Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration.
CoRR, 2017

ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects.
IEEE Trans. Vis. Comput. Graph., 2016

A Multi-Pass Approach to Large-Scale Connectomics.
CoRR, 2016

RhoanaNet Pipeline: Dense Automatic Neural Annotation.
CoRR, 2016

Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Large-scale automatic reconstruction of neuronal processes from electron microscopy images.
Medical Image Anal., 2015

2014
Design and Evaluation of Interactive Proofreading Tools for Connectomics.
IEEE Trans. Vis. Comput. Graph., 2014

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.
IEEE Trans. Vis. Comput. Graph., 2014

Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data.
CoRR, 2014

Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes.
CoRR, 2014

Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation.
CoRR, 2014

2013
ConnectomeExplorer: Query-Guided Visual Analysis of Large Volumetric Neuroscience Data.
IEEE Trans. Vis. Comput. Graph., 2013

Gradient-Domain Processing for Large EM Image Stacks.
CoRR, 2013

A Collaborative Digital Pathology System for Multi-Touch Mobile and Desktop Computing Platforms.
Comput. Graph. Forum, 2013

Exploring the Connectome: Petascale Volume Visualization of Microscopy Data Streams.
IEEE Computer Graphics and Applications, 2013

The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

2012
Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis.
J. Vis. Commun. Image Represent., 2012

2011
The connectome project: discovering the wiring of the brain.
XRDS, 2011

Demand-driven volume rendering of terascale EM data.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2011

Neural Process Reconstruction from Sparse User Scribbles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Segmentation fusion for connectomics.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Interactive Histology of Large-Scale Biomedical Image Stacks.
IEEE Trans. Vis. Comput. Graph., 2010

Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets.
IEEE Computer Graphics and Applications, 2010

Reconstruction of the neuromuscular junction connectome.
Bioinform., 2010

Boundary Learning by Optimization with Topological Constraints.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Automated Axon Tracking of 3D Confocal Laser Scanning Microscopy Images Using Guided Probabilistic Region Merging.
Neuroinformatics, 2009

Discovering the wiring diagram of the brain.
Proceedings of the Fourth Paradigm: Data-Intensive Scientific Discovery, 2009

2008
3D Axon Structure Extraction and Analysis in Confocal Fluorescence Microscopy Images.
Neural Comput., 2008

Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images.
Medical Image Anal., 2008

2007
Dynamic Local Tracing for 3d Axon Curvilinear Structure Detection from Microscopic Image Stack.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

3-D Centerline Extraction of Axons in Microscopic Stacks for the Study of Motor Neuron Behavior in Developing Muscles.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks.
NeuroImage, 2006

Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006


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