David A. Gutman

发表

Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans

Erin E. Hecht, David A. Gutman, Bruce A. Bradley, 2015, NeuroImage.

Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer

Jayashree Kalpathy-Cramer, Jake Cobb, David A. Gutman, 2014, Front. Neuroinform..

A DTI tractography analysis of infralimbic and prelimbic connectivity in the mouse using high-throughput MRI

Waqas Majeed, Shella D. Keilholz, Matthew Magnuson, 2012, NeuroImage.

High-Performance Systems for in Silico Microscopy Imaging Studies

Jun Kong, Tony Pan, Vijay Kumar, 2010, DILS.

Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma

Daniel J. Brat, David A. Gutman, Pascal O. Zinn, 2016, Journal of neuroimaging in psychiatry & neurology.

LAB-IMMUNOLOGY RESEARCH

Joel H. Saltz, Yu Han, Rong Zhang, 2012 .

REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap

Jake Cobb, David A. Gutman, William D. Dunn, 2016, Int. J. Medical Informatics.

A Symmetry-Based Method to Infer Structural Brain Networks from Probabilistic Tractography Data

Saeideh Bakhshi, Constantinos Dovrolis, Kamal Shadi, 2015, Front. Neuroinform..

Interactive phenotyping of large-scale histology imaging data with HistomicsML

Daniel J. Brat, Lee Cooper, David A. Gutman, 2017 .

An Integrative Approach for In Silico Glioma Research

Jun Kong, Tony Pan, Joel H. Saltz, 2010, IEEE Transactions on Biomedical Engineering.

The Digital Slide Archive

Lee Cooper, David A. Gutman, 2017 .

Research and applications: Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

Joel H. Saltz, Fusheng Wang, Tahsin M. Kurç, 2013, J. Am. Medical Informatics Assoc..

Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes

Joel H. Saltz, Fusheng Wang, Ashish Sharma, 2011, IEEE Transactions on Biomedical Engineering.

Machine-Based Detection and Classification for Bone Marrow Aspirate Differential Counts: Initial Development Focusing on Non-Neoplastic Cells

David A. Gutman, Ramraj Chandradevan, Lee A. D. Cooper, 2019, Laboratory Investigation.

Integrated morphologic analysis for the identification and characterization of disease subtypes

Jun Kong, Tony Pan, Joel H. Saltz, 2012, J. Am. Medical Informatics Assoc..

Large-scale microscopy imaging analytics for in silico biomedicine

Tony Pan, Joel H. Saltz, Tahsin Kurc, 2016 .

High Performance Computing for Integrative Analysis of Large Pathology Image Datasets

Jun Kong, Tony Pan, Joel H. Saltz, 2012, AMIA.

A comparative analysis of mouse and human medial geniculate nucleus connectivity: A DTI and anterograde tracing study

Shella D. Keilholz, Erin E. Hecht, David A. Gutman, 2015, NeuroImage.

Artificial Intelligence Approach in Melanoma

Allan C. Halpern, Noel C. F. Codella, M. Emre Celebi, 2019, Melanoma.

An interactive learning framework for scalable classification of pathology images

Jun Kong, Lee A. D. Cooper, David A. Gutman, 2015, IEEE BigData.

Digital Pathology: Data-Intensive Frontier in Medical Imaging

Jun Kong, Tony Pan, Joel H. Saltz, 2012, Proceedings of the IEEE.

Vectorized persistent homology representations for characterizing glandular architecture in histology images

Lee A. D. Cooper, Sanghoon Lee, Samuel Gerber, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Digital and Computational Pathology: Bring the Future into Focus

Vijayan K. Asari, Vijayan K. Asari, Nikolaos Grammalidis, 2019, Journal of Pathology Informatics.

Integrative, Multi-modal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images and Clinical Outcomes

Tony Pan, Joel H. Saltz, Tahsin Kurc, 2011 .

Structured crowdsourcing enables convolutional segmentation of histology images

Jonathan D. Beezley, Mustafijur Rahman, Lee A. D. Cooper, 2019, Bioinform..

MITI minimum information guidelines for highly multiplexed tissue images

Garry Nolan, Joshua F. McMichael, David L. Gibbs, 2021, Nature Methods.

NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer pdf

Ny, Chicago, Tx, 2021, GigaScience.

Gene integrated set profile analysis: a context-based approach for inferring biological endpoints

Jeanne Kowalski, Zhaohui S. Qin, Carlos S. Moreno, 2016, Nucleic acids research.

Organization of intrinsic functional brain connectivity predicts decisions to reciprocate social behavior

David A. Gutman, Clinton D. Kilts, D. Gutman, 2015, Behavioural Brain Research.

The Proneural Molecular Signature Is Enriched in Oligodendrogliomas and Predicts Improved Survival among Diffuse Gliomas

Joel H. Saltz, Tahsin Kurc, Lee A. D. Cooper, 2010, PloS one.

Somatic mutations associated with MRI-derived volumetric features in glioblastoma

Keith L. Ligon, Lee A. D. Cooper, David A. Gutman, 2015, Neuroradiology.

Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features

Mauricio Reyes, Raphael Meier, Roland Wiest, 2015, Scientific Reports.

Novel genotype-phenotype associations in human cancers enabled by advanced molecular platforms and computational analysis of whole slide images

Daniel J. Brat, David A. Gutman, William D. Dunn, 2014, Laboratory Investigation.