Jason L. Stein

Orcid: 0000-0003-4829-0513

According to our database1, Jason L. Stein authored at least 21 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Genetic variations within human gained enhancer elements affect human brain sulcal morphology.
NeuroImage, 2023

High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
SAU-Net: A Unified Network for Cell Counting in 2D and 3D Microscopy Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Cell Counting with Inverse Distance Kernel and Self-supervised Learning.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

2021
Segmentor: a tool for manual refinement of 3D microscopy annotations.
BMC Bioinform., 2021

3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images.
Proceedings of the Information Processing in Medical Imaging, 2021

2019
Cross Modality Microscopy Segmentation via Adversarial Adaptation.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

SAU-Net: A Universal Deep Network for Cell Counting.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2017
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

2013
Exhaustive Search of the SNP-SNP Interactome Identifies Epistatic Effects on Brain Volume in Two Cohorts.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Genetic Clustering on the Hippocampal Surface for Genome-Wide Association Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2012
Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease.
NeuroImage, 2012

Structural and functional neuroimaging phenotypes in dysbindin mutant mice.
NeuroImage, 2012

Predicting temporal lobe volume on MRI from genotypes using L<sup>1</sup>-L<sup>2</sup> regularized regression.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjects.
NeuroImage, 2011

Boosting power to detect genetic associations in imaging using multi-locus, genome-wide scans and ridge regression.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Principal components regression: Multivariate, gene-based tests in imaging genomics.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease.
NeuroImage, 2010

Voxelwise genome-wide association study (vGWAS).
NeuroImage, 2010

2008
Corrigendum to "A validated network of effective amygdala connectivity" [NeuroImage 36 (2007) 736-745].
NeuroImage, 2008

2007
A validated network of effective amygdala connectivity.
NeuroImage, 2007


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