David A. Gutman

33 papers Misc 1Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	HistomicsTK: A Python toolkit for pathology image analysis algorithms. SoftwareX Fattaneh Pourakpour, Ákos Szölgyén, Ramin Nateghi, David A. Gutman, David Manthey, Lee A. D. Cooper
2025	J	`jnl`	Magnification-Aware Distillation (MAD): A Self-Supervised Framework for Unified Representation Learning in Gigapixel Whole-Slide Images. CoRR Mahmut S. Gokmen, Mitchell A. Klusty, Peter T. Nelson, Allison M. Neltner, Sen-ching Samson Cheung, Thomas M. Pearce, David A. Gutman, Brittany N. Dugger, Devavrat S. Bisht, Margaret E. Flanagan, V. K. Cody Bumgardner
2025	J	`jnl`	Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification - Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline. J. Imaging Inform. Medicine David A. Clunie, Adam Taylor, Tom Bisson, David A. Gutman, Ying Xiao, Christopher G. Schwarz, Douglas N. Greve, Judy Gichoya, George Shih, Adrienne S. Kline, Benjamin Kopchick, Keyvan Farahani
2024	J	`jnl`	HistoJS: Web-Based Analytical Tool for Advancing Multiplexed Images. J. Open Source Softw. Mohamed Masoud, David A. Gutman, Sergey M. Plis
2022	J	`jnl`	Explainable nucleus classification using Decision Tree Approximation of Learned Embeddings. Bioinform. 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
2021	J	`jnl`	NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation. CoRR 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
2020	J	`jnl`	A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. CoRR 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
2020	J	`jnl`	HistomicsML2.0: Fast interactive machine learning for whole slide imaging data. CoRR Sanghoon Lee, Mohamed Amgad, Deepak Roy Chittajallu, Matt McCormick, Brian P. Pollack, Habiba Elfandy, Hagar Hussein, David A. Gutman, Lee A. D. Cooper
2019	—	`conf`	An Ensemble-based Active Learning for Breast Cancer Classification. BIBM Sanghoon Lee, Mohamed Amgad, Mohamed Masoud, Rajasekaran Subramanian, David A. Gutman, Lee Cooper
2019	—	`conf`	Fusion In Breast Cancer Histology Classification. BCB Juan Carlos Vizcarra, Ryan Place, Li Tong, David A. Gutman, May Dongmei Wang
2019	J	`jnl`	Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC). CoRR 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
2019	J	`jnl`	Structured crowdsourcing enables convolutional segmentation of histology images. Bioinform. 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
2018	—	`conf`	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 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
2018	—	`conf`	Vectorized persistent homology representations for characterizing glandular architecture in histology images. ISBI Deepak Roy Chittajallu, Neal Siekierski, Sanghoon Lee, Samuel Gerber, Jonathan D. Beezley, David Manthey, David A. Gutman, Lee Cooper
2017	J	`jnl`	Deep learning ensembles for melanoma recognition in dermoscopy images. IBM J. Res. Dev. Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Alan Halpern, John R. Smith
2017	J	`jnl`	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 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
2016	J	`jnl`	A Symmetry-Based Method to Infer Structural Brain Networks from Probabilistic Tractography Data. Frontiers Neuroinformatics Kamal Shadi, Saeideh Bakhshi, David A. Gutman, Helen S. Mayberg, Constantine Dovrolis
2016	J	`jnl`	Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images. CoRR Noel C. F. Codella, Quoc-Bao Nguyen, Sharath Pankanti, David A. Gutman, Brian Helba, Allan Halpern, John R. Smith
2016	—	`conf`	Multi-scale classification based lesion segmentation for dermoscopic images. EMBC Mani Abedini, Noel C. F. Codella, Rajib Chakravorty, Rahil Garnavi, David A. Gutman, Brian Helba, John R. Smith
2016	J	`jnl`	REDLetr: Workflow and tools to support the migration of legacy clinical data capture systems to REDCap. Int. J. Medical Informatics William D. Dunn, Jake Cobb, Allan I. Levey, David A. Gutman
2016	J	`jnl`	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 David A. Gutman, Noel C. F. Codella, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Nabin K. Mishra, Allan Halpern
2015	J	`jnl`	A comparative analysis of mouse and human medial geniculate nucleus connectivity: A DTI and anterograde tracing study. NeuroImage Orion P. Keifer Jr., David A. Gutman, Erin E. Hecht, Shella D. Keilholz, Kerry J. Ressler
2015	—	`conf`	An interactive learning framework for scalable classification of pathology images. IEEE BigData Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper
2015	J	`jnl`	Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans. NeuroImage Erin E. Hecht, David A. Gutman, Bruce A. Bradley, Todd M. Preuss, Dietrich Stout
2014	J	`jnl`	Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer. Frontiers Neuroinformatics David A. Gutman, William D. Dunn, Jake Cobb, Richard Martin Stoner, Jayashree Kalpathy-Cramer, Bradley J. Erickson
2013	J	`jnl`	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. David A. Gutman, Jake Cobb, Dhananjaya Somanna, Yuna Park, Fusheng Wang, Tahsin M. Kurç, Joel H. Saltz, Daniel J. Brat, Lee A. D. Cooper
2012	J	`jnl`	A DTI tractography analysis of infralimbic and prelimbic connectivity in the mouse using high-throughput MRI. NeuroImage David A. Gutman, Orion P. Keifer Jr., Matthew Magnuson, Dennis C. Choi, Waqas Majeed, Shella D. Keilholz, Kerry J. Ressler
2012	J	`jnl`	Digital Pathology: Data-Intensive Frontier in Medical Imaging. Proc. IEEE 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
2012	Misc	`conf`	High Performance Computing for Integrative Analysis of Large Pathology Image Datasets. AMIA Tahsin M. Kurç, Joel H. Saltz, George Teodoro, Tony Pan, Lee A. D. Cooper, Jun Kong, David A. Gutman, Daniel J. Brat, Fusheng Wang
2012	J	`jnl`	Integrated morphologic analysis for the identification and characterization of disease subtypes. J. Am. Medical Informatics Assoc. 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
2011	J	`jnl`	Integrative, Multimodal Analysis of Glioblastoma Using TCGA Molecular Data, Pathology Images, and Clinical Outcomes. IEEE Trans. Biomed. Eng. 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
2010	J	`jnl`	An Integrative Approach for In Silico Glioma Research. IEEE Trans. Biomed. Eng. 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
2010	—	`conf`	High-Performance Systems for in Silico Microscopy Imaging Studies. DILS Fusheng Wang, Tahsin M. Kurç, Patrick M. Widener, Tony Pan, Jun Kong, Lee Cooper, David A. Gutman, Ashish Sharma, Sharath R. Cholleti, Vijay Kumar