Meet the Team
David Manthey
Technical Leader
Data and Analytics
Kitware New York
Clifton Park, NY
B.S. in Mechanical Engineering
Rensselaer Polytechnic Institute
David Manthey joined Kitware in September, 2014, as an R&D Engineer in the Scientific Computing team. David received a B.S. in Mechanical Engineering from Rensselaer Polytechnic Institute in 1992. He has worked in computer vision measuring three-dimensional geometry and deformation in sheet metal and other materials. More recently he has worked on audio and video distribution, storage, and processing, ranging from direct hardware control to user interfaces. He has one patent related to automatically calibrating internal and external camera parameters.
Publications
- A. Kammardi Shashiprakash, B. Lutnick, B. Ginley, D. Govind, N. Lucarelli, K. Jen, A. Rosenberg, A. Urisman, V. Walavalkar, J. Zuckerman, M. Delsante, M. Bissonnette, J. Tomaszewski, D. Manthey, and P. Sarder, "A distributed system improves inter-observer and AI concordance in annotating interstitial fibrosis and tubular atrophy," in Medical Imaging 2021: Digital Pathology, 2021. [URL]
- M. Amgad, H. Elfandy, H. Hussein, L. Atteya, M. Elsebaie, L. Abo Elnasr, R. Sakr, H. Salem, A. Ismail, A. Saad, J. Ahmed, M. Elsebaie, M. Rahman, I. Ruhban, N. Elgazar, Y. Alagha, M. Osman, A. Alhusseiny, M. Khalaf, A. Younes, A. Abdulkarim, D. Younes, A. Gadallah, A. Elkashash, S. Fala, B. Zaki, J. Beezley, D. Chittajallu, D. Manthey, D. Gutman, and L. Cooper, "Structured crowdsourcing enables convolutional segmentation of histology images," Bioinformatics, vol. 35, no. 18, pp. 3461-3467, Sep. 2019. [URL]
- D. Chittajallu, N. Siekierski, S. Lee, S. Gerber, J. Beezley, D. Manthey, D. Gutman, and L. Cooper, "Vectorized persistent homology representations for characterizing glandular architecture in histology images," in Proceedings of the IEEE International Symposium on Biomedical Imaging, 2018. [URL]
- D. Gutman, M. Khalilia, S. Lee, M. Nalisnik, Z. Mullen, J. Beezley, D. Chittajallu, D. Manthey, and L. Cooper, "The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research," Cancer Research, vol. 77, no. 21, pp. e75-e78, Nov. 2017. [URL]
