Daniel J. Brat

According to our database1, Daniel J. Brat authored at least 22 papers between 2010 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Longitudinal molecular trajectories of diffuse glioma in adults.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Nat., 2019

2018
Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape based Intensity Analysis for Overlapped Nuclei in Fluorescence In-Situ Hybridization Images.
CoRR, 2018

Analysis of Cellular Feature Differences of Astrocytomas with Distinct Mutational Profiles Using Digitized Histopathology Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Clumped Nuclei Segmentation with Adjacent Point Match and Local Shape-Based Intensity Analysis in Fluorescence Microscopy Images.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Automated level set segmentation of histopathologic cells with sparse shape prior support and dynamic occlusion constraint.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Dynamic registration for gigapixel serial whole slide images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Robust cell segmentation for histological images of Glioblastoma.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Automated cell segmentation with 3D fluorescence microscopy images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Spatiotemporal visualization of cell membrane dynamics and protein colocalization reveals correlation between membrane dynamics and metastatic invasion.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2013
Research and applications: Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data.
J. Am. Medical Informatics Assoc., 2013

High-performance computational analysis of glioblastoma pathology images with database support identifies molecular and survival correlates.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Digital Pathology: Data-Intensive Frontier in Medical Imaging.
Proc. IEEE, 2012

Integrated morphologic analysis for the identification and characterization of disease subtypes.
J. Am. Medical Informatics Assoc., 2012

High Performance Computing for Integrative Analysis of Large Pathology Image Datasets.
Proceedings of the AMIA 2012, 2012

2011
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes.
IEEE Trans. Biomed. Eng., 2011

A new steerable pressure force for parametric deformable models.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

A comprehensive framework for classification of nuclei in digital microscopy imaging: An application to diffuse gliomas.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Morphological signatures and genomic correlates in glioblastoma.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

In silico analysis of nuclei in glioblastoma using large-scale microscopy images improves prediction of treatment response.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Towards building computerized image analysis framework for nucleus discrimination in microscopy images of diffuse glioma.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
An Integrative Approach for In Silico Glioma Research.
IEEE Trans. Biomed. Eng., 2010

Texture based image recognition in microscopy images of diffuse gliomas with multi-class gentle boosting mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2010


  Loading...