High-Performance Systems for in Silico Microscopy Imaging Studies. - Fusheng Wang 001; Tahsin M. Kurç; Patrick M. Widener; Tony Pan; Jun Kong 002; Lee Cooper 001; David A. Gutman; Ashish Sharma 001; Sharath R. Cholleti; Vijay Kumar (DILS, 2010)

An Integrative Approach for In Silico Glioma Research. - Lee A. D. Cooper; Jun Kong 002; David A. Gutman; Fusheng Wang 001; Sharath R. Cholleti; Tony C. Pan; Patrick M. Widener; Ashish Sharma 001; Tom Mikkelsen; Adam E. Flanders; Daniel L. Rubin; Erwin G. Van Meir; et al. (IEEE Trans. Biomed. Eng., 2010)

Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. - Jun Kong 002; Lee A. D. Cooper; Fusheng Wang 001; David A. Gutman; Jingjing Gao; Candace Chisolm; Ashish Sharma 001; Tony Pan; Erwin G. Van Meir; Tahsin M. Kurç; Carlos Sanchez Moreno; Joel H. Saltz; et al. (IEEE Trans. Biomed. Eng., 2011)

High Performance Computing for Integrative Analysis of Large Pathology Image Datasets. - Tahsin M. Kurç; Joel H. Saltz; George Teodoro; Tony Pan; Lee A. D. Cooper; Jun Kong 002; David A. Gutman; Daniel J. Brat; Fusheng Wang 001 (AMIA, 2012)

Integrated morphologic analysis for the identification and characterization of disease subtypes. - Lee A. D. Cooper; Jun Kong 002; David A. Gutman; Fusheng Wang 001; Jingjing Gao; Christina Appin; Sharath R. Cholleti; Tony Pan; Ashish Sharma 001; Lisa Scarpace; Tom Mikkelsen; Tahsin M. Kurç; et al. (J. Am. Medical Informatics Assoc., 2012)

A DTI tractography analysis of infralimbic and prelimbic connectivity in the mouse using high-throughput MRI. - David A. Gutman; Orion P. Keifer Jr.; Matthew Magnuson; Dennis C. Choi; Waqas Majeed; Shella D. Keilholz; Kerry J. Ressler (NeuroImage, 2012)

Digital Pathology: Data-Intensive Frontier in Medical Imaging. - Lee A. D. Cooper; Alexis B. Carter; Alton B. Farris; Fusheng Wang 001; Jun Kong 002; David A. Gutman; Patrick M. Widener; Tony C. Pan; Sharath R. Cholleti; Ashish Sharma 001; Tahsin M. Kurç; Daniel J. Brat; et al. (Proc. IEEE, 2012)

Research and applications: Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data. - David A. Gutman; Jake Cobb; Dhananjaya Somanna; Yuna Park; Fusheng Wang 001; Tahsin M. Kurç; Joel H. Saltz; Daniel J. Brat; Lee A. D. Cooper (J. Am. Medical Informatics Assoc., 2013)

Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. - David A. Gutman; William D. Dunn; Jake Cobb; Richard Martin Stoner; Jayashree Kalpathy-Cramer; Bradley J. Erickson (Frontiers Neuroinformatics, 2014)

An interactive learning framework for scalable classification of pathology images. - Michael Nalisnik; David A. Gutman; Jun Kong 002; Lee A. D. Cooper (IEEE BigData, 2015)

Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans. - Erin E. Hecht; David A. Gutman; Bruce A. Bradley; Todd M. Preuss; Dietrich Stout (NeuroImage, 2015)

A comparative analysis of mouse and human medial geniculate nucleus connectivity: A DTI and anterograde tracing study. - Orion P. Keifer Jr.; David A. Gutman; Erin E. Hecht; Shella D. Keilholz; Kerry J. Ressler (NeuroImage, 2015)

Multi-scale classification based lesion segmentation for dermoscopic images. - Mani Abedini; Noel C. F. Codella; Rajib Chakravorty; Rahil Garnavi; David A. Gutman; Brian Helba; John R. Smith (EMBC, 2016)

Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC). - David A. Gutman; Noel C. F. Codella; M. Emre Celebi 001; Brian Helba; Michael A. Marchetti; Nabin K. Mishra; Allan Halpern (CoRR, 2016)

A Symmetry-Based Method to Infer Structural Brain Networks from Probabilistic Tractography Data. - Kamal Shadi; Saeideh Bakhshi; David A. Gutman; Helen S. Mayberg; Constantine Dovrolis (Frontiers Neuroinformatics, 2016)

REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap. - William D. Dunn; Jake Cobb; Allan I. Levey; David A. Gutman (Int. J. Medical Informatics, 2016)

Deep learning ensembles for melanoma recognition in dermoscopy images. - Noel C. F. Codella; Quoc-Bao Nguyen; Sharath Pankanti; David A. Gutman; Brian Helba; Alan Halpern; John R. Smith (IBM J. Res. Dev., 2017)

Vectorized persistent homology representations for characterizing glandular architecture in histology images. - Deepak Roy Chittajallu; Neal Siekierski; Sanghoon Lee 007; Samuel Gerber; Jonathan D. Beezley; David Manthey; David A. Gutman; Lee Cooper 001 (ISBI, 2018)

Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC). - Noel C. F. Codella; David A. Gutman; M. Emre Celebi 001; Brian Helba; Michael A. Marchetti; Stephen W. Dusza; Aadi Kalloo; Konstantinos Liopyris; Nabin K. Mishra; Harald Kittler; Allan Halpern (ISBI, 2018)

Fusion In Breast Cancer Histology Classification. - Juan Carlos Vizcarra; Ryan Place; Li Tong 001; David A. Gutman; May Dongmei Wang (BCB, 2019)

An Ensemble-based Active Learning for Breast Cancer Classification. - Sanghoon Lee 007; Mohamed Amgad; Mohamed Masoud; Rajasekaran Subramanian; David A. Gutman; Lee Cooper 001 (BIBM, 2019)

Structured crowdsourcing enables convolutional segmentation of histology images. - Mohamed Amgad; Habiba Elfandy; Hagar Hussein; Lamees A. Atteya; Mai A. T. Elsebaie; Lamia S. Abo Elnasr; Rokia Adel Sakr; Hazem S. E. Salem; Ahmed F. Ismail; Anas M. Saad; Joumana Ahmed; Maha A. T. Elsebaie; et al. (Bioinform., 2019)

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). - Noel C. F. Codella; Veronica Rotemberg; Philipp Tschandl; M. Emre Celebi 001; Stephen W. Dusza; David A. Gutman; Brian Helba; Aadi Kalloo; Konstantinos Liopyris; Michael A. Marchetti; Harald Kittler; Allan Halpern (CoRR, 2019)

HistomicsML2.0: Fast interactive machine learning for whole slide imaging data. - Sanghoon Lee 007; Mohamed Amgad; Deepak Roy Chittajallu; Matt McCormick 001; Brian P. Pollack; Habiba Elfandy; Hagar Hussein; David A. Gutman; Lee A. D. Cooper (CoRR, 2020)

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. - Veronica Rotemberg; Nicholas R. Kurtansky; Brigid Betz-Stablein; Liam J. Caffery; Emmanouil Chousakos; Noel Codella; Marc Combalia; Stephen W. Dusza; Pascale Guitera; David A. Gutman; Allan Halpern; Harald Kittler; et al. (CoRR, 2020)

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. - Mohamed Amgad; Lamees A. Atteya; Hagar Hussein; Kareem Hosny Mohammed; Ehab Hafiz; Maha A. T. Elsebaie; Ahmed M. Alhusseiny; Mohamed Atef AlMoslemany; Abdelmagid M. Elmatboly; Philip A. Pappalardo; Rokia Adel Sakr; Pooya Mobadersany; et al. (CoRR, 2021)

Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. - Mohamed Amgad; Lamees A. Atteya; Hagar Hussein; Kareem Hosny Mohammed; Ehab Hafiz; Maha A. T. Elsebaie; Pooya Mobadersany; David Manthey; David A. Gutman; Habiba Elfandy; Lee A. D. Cooper (Bioinform., 2022)

HistoJS: Web-Based Analytical Tool for Advancing Multiplexed Images. - Mohamed Masoud; David A. Gutman; Sergey M. Plis (J. Open Source Softw., 2024)

HistomicsTK: A Python toolkit for pathology image analysis algorithms. - Fattaneh Pourakpour; Ákos Szölgyén; Ramin Nateghi; David A. Gutman; David Manthey; Lee A. D. Cooper (SoftwareX, 2025)