David A. Gutman

According to our database, David A. Gutman authored at least 28 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HistoJS: Web-Based Analytical Tool for Advancing Multiplexed Images.

Mohamed Masoud, David A. Gutman, Sergey M. Plis

J. Open Source Softw., February, 2024

2022

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

2021

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, Ahmad Rachid, Anas M. Saad, Ahmad M. Alkashash, Inas A. Ruhban, Anas Alrefai, Nada M. Elgazar, Ali Abdulkarim, Abo-Alela Farag, Amira Etman, Ahmed G. Elsaeed, Yahya Alagha, Yomna A. Amer, Ahmed M. Raslan, Menatalla K. Nadim, Mai A. T. Elsebaie, Ahmed Ayad, Liza E. Hanna, Ahmed M. Gadallah, Mohamed Elkady, Bradley Drumheller, David Jaye, David Manthey, David A. Gutman, Habiba Elfandy, Lee A. D. Cooper

CoRR, 2021

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, Kivanç Köse, Steve Langer, Konstantinos Liopryis, Josep Malvehy, Shenara Musthaq, Jabpani Nanda, Ofer Reiter, George Shih, Alexander Stratigos, Philipp Tschandl, Jochen Weber, H. Peter Soyer

CoRR, 2020

HistomicsML2.0: Fast interactive machine learning for whole slide imaging data.

Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper

CoRR, 2020

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, Stephen W. Dusza, David A. Gutman, Brian Helba, Aadi Kalloo, Konstantinos Liopyris, Michael A. Marchetti, Harald Kittler, Allan Halpern

CoRR, 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, Mustafijur Rahman, Inas A. Ruhban, Nada M. Elgazar, Yahya Alagha, Mohamed H. Osman, Ahmed M. Alhusseiny, Mariam M. Khalaf, Abo-Alela F. Younes, Ali Abdulkarim, Duaa M. Younes, Ahmed M. Gadallah, Ahmad M. Elkashash, Salma Y. Fala, Basma M. Zaki, Jonathan D. Beezley, Deepak Roy Chittajallu, David Manthey, David A. Gutman, Lee A. D. Cooper

Bioinform., 2019

An Ensemble-based Active Learning for Breast Cancer Classification.

Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee Cooper

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Fusion In Breast Cancer Histology Classification.

Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

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, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin K. Mishra, Harald Kittler, Allan Halpern

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Vectorized persistent homology representations for characterizing glandular architecture in histology images.

Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee Cooper

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

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

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

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

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, Brian Helba, Michael A. Marchetti, Nabin K. Mishra, Allan Halpern

CoRR, 2016

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

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

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

An interactive learning framework for scalable classification of pathology images.

Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

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

2013

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, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat, Lee A. D. Cooper

J. Am. Medical Informatics Assoc., 2013

2012

Digital Pathology: Data-Intensive Frontier in Medical Imaging.

Lee A. D. Cooper, Alexis B. Carter, Alton B. Farris, Fusheng Wang, Jun Kong, David A. Gutman, Patrick M. Widener, Tony C. Pan, Sharath R. Cholleti, Ashish Sharma, Tahsin M. Kurç, Daniel J. Brat, Joel H. Saltz

Proc. IEEE, 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

Integrated morphologic analysis for the identification and characterization of disease subtypes.

Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Jingjing Gao, Christina Appin, Sharath R. Cholleti, Tony Pan, Ashish Sharma, Lisa Scarpace, Tom Mikkelsen, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz

J. Am. Medical Informatics Assoc., 2012

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, David A. Gutman, Daniel J. Brat, Fusheng Wang

Proceedings of the AMIA 2012, 2012

2011

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

Jun Kong, Lee A. D. Cooper, Fusheng Wang, David A. Gutman, Jingjing Gao, Candace Chisolm, Ashish Sharma, Tony Pan, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Joel H. Saltz, Daniel J. Brat

IEEE Trans. Biomed. Eng., 2011

2010

An Integrative Approach for In Silico Glioma Research.

Lee A. D. Cooper, Jun Kong, David A. Gutman, Fusheng Wang, Sharath R. Cholleti, Tony C. Pan, Patrick M. Widener, Ashish Sharma, Tom Mikkelsen, Adam E. Flanders, Daniel L. Rubin, Erwin G. Van Meir, Tahsin M. Kurç, Carlos Sanchez Moreno, Daniel J. Brat, Joel H. Saltz

IEEE Trans. Biomed. Eng., 2010

High-Performance Systems for in Silico Microscopy Imaging Studies.

Fusheng Wang, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar

Proceedings of the Data Integration in the Life Sciences, 7th International Conference, 2010