David A. Gutman

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 18

Top Topics

Biomedical Imaging

Top Venues

Frontiers Neuroinformatics

Publications

Mohamed Masoud, David A. Gutman, Sergey M. Plis
HistoJS: Web-Based Analytical Tool for Advancing Multiplexed Images. J. Open Source Softw. 9 (94) (2024)
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
Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinform. 38 (2) (2022)
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
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. CoRR (2021)
Veronica Rotemberg, Nicholas 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
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR (2020)
Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data. CoRR (2020)
Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee A. D. Cooper
An Ensemble-based Active Learning for Breast Cancer Classification. BIBM (2019)
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
Structured crowdsourcing enables convolutional segmentation of histology images. Bioinform. 35 (18) (2019)
Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang
Fusion In Breast Cancer Histology Classification. BCB (2019)
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
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). CoRR (2019)
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
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). ISBI (2018)
Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee A. D. Cooper
Vectorized persistent homology representations for characterizing glandular architecture in histology images. ISBI (2018)
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
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). CoRR (2017)
Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Alan Halpern, John R. Smith
Deep learning ensembles for melanoma recognition in dermoscopy images. IBM J. Res. Dev. 61 (4-5) (2017)
Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Allan Halpern, John R. Smith
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images. CoRR (2016)
David A. Gutman, Noel C. F. Codella, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Nabin K. Mishra, Allan Halpern
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). CoRR (2016)
Kamal Shadi, Saeideh Bakhshi, David A. Gutman, Helen S. Mayberg, Constantine Dovrolis
A Symmetry-Based Method to Infer Structural Brain Networks from Probabilistic Tractography Data. Frontiers Neuroinformatics 10 (2016)
William D. Dunn, Jake Cobb, Allan I. Levey, David A. Gutman
REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap. Int. J. Medical Informatics 93 (2016)
Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith
Multi-scale classification based lesion segmentation for dermoscopic images. EMBC (2016)
Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper
An interactive learning framework for scalable classification of pathology images. IEEE BigData (2015)
Orion P. Keifer Jr., David A. Gutman, Erin E. Hecht, Shella D. Keilholz, Kerry J. Ressler
A comparative analysis of mouse and human medial geniculate nucleus connectivity: A DTI and anterograde tracing study. NeuroImage 105 (2015)
Erin E. Hecht, David A. Gutman, Bruce A. Bradley, Todd M. Preuss, Dietrich Stout
Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans. NeuroImage 108 (2015)
David A. Gutman, William D. Dunn, Jake Cobb, Richard Martin Stoner, Jayashree Kalpathy-Cramer, Bradley J. Erickson
Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. Frontiers Neuroinformatics 8 (2014)
David A. Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat, Lee A. D. Cooper
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. 20 (6) (2013)
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 S. Moreno, Daniel J. Brat, Joel H. Saltz
Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 19 (2) (2012)
David A. Gutman, Orion P. Keifer Jr., Matthew Magnuson, Dennis C. Choi, Waqas Majeed, Shella D. Keilholz, Kerry J. Ressler
A DTI tractography analysis of infralimbic and prelimbic connectivity in the mouse using high-throughput MRI. NeuroImage 63 (2) (2012)
Tahsin M. Kurç, Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, David A. Gutman, Daniel J. Brat, Fusheng Wang
High Performance Computing for Integrative Analysis of Large Pathology Image Datasets. AMIA (2012)
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
Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 100 (4) (2012)
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 S. Moreno, Joel H. Saltz, Daniel J. Brat
Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 58 (12) (2011)
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 S. Moreno, Daniel J. Brat, Joel H. Saltz
An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 57 (10) (2010)
Fusheng Wang, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee A. D. Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar
High-Performance Systems for in Silico Microscopy Imaging Studies. DILS (2010)