Anthony P. Reeves

Professor Emeritus, Electrical and Computer Engineering
392 Rhodes Hall
Phone: (607) 255-2342
Fax: (607) 255-9072

Brief Biography:

Education

B.Sc., Electronic Engineering, University of Kent at Canterbury, U.K., 1970.

Ph.D., Electronic Engineering, University of Kent at Canterbury, U.K., 1973.

Academic Appointments

Brief Professional Biography

Reeves has been on the faculty of Cornell University since 1982; previously, from 1976 to 1982, he was an Assistant Professor in the School of Electrical Engineering at Purdue University. He has held visiting faculty positions at the University of Wisconsin, Madison; McGill University, Montreal, P.Q., Canada; and Pavia University, Italy. From 1987 to 1988 he was a member of the faculty of the Department of Computer Science, University of Illinois at Urbana-Champaign. Since 2000 he has also held an adjunct faculty position in the Department of Radiology at the Weill Medical College of Cornell University; and he has an adjunct faculty appointment in the Radiology Department at the Mount Sinai School of Medicine in 2017.

Research Interests:

My current research program is computer methods for analyzing digital images especially with regards to accurate image measurements and with a primary focus on biomedical applications. In collaboration with radiologists at the Mount Sinai School of Medicine in New York City, a main research objective is the automatic detection and diagnosis of lung cancer from Computer Tomography (CT) scans and the computer aided diagnosis of diseases within the chest. Other ongoing collaborative projects are related to multidimensional image analysis including: sphere tracking in microgravity, hip dysplasia in a canine model, and analysis of three-dimensional (optical sections recorded over time) video microscope images. An important outgrowth of the work with the Medical College has been the development of unique web-based clinical-study data-management system that includes both clinical data and all medical images. A web-based system to support collaborative research programs involving image analysis has also been developed.

Selected Significant Publications

  1. Armato SG III, McLennan G, Bidaut L, McNitt-Gray MF, Meyer CR, Reeves AP, et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Medical Physics. 2011.

  2. Kostis WJ, Reeves AP, Yankelevitz DF, Henschke CI. Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images. IEEE Transactions on Medical Imaging. 2003;22:1259–1274.

  3. Reeves AP, Chan AB, Yankelevitz DF, Henschke CI, Kressler B, Kostis WJ. On measuring the change in size of pulmonary nodules. IEEE Transactions on Medical Imaging. 2006;25(4):435–450.

  4. Kostis WJ, Yankelevitz DF, Reeves AP, Fluture SC, Henschke CI. Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up CT. Radiology. 2004;231(2):446–452.

  5. Enquobahrie A, Reeves AP, Yankelevitz DF, Henschke CI. Automated detection of small solid pulmonary nodules in whole-lung CT scans from a lung cancer screening study. Academic Radiology. 2007;14(5):579–593.

  6. Reeves AP, Xie Y, Jirapatnakul A. Automated pulmonary nodule CT image characterization in lung cancer screening. International Journal of Computer Assisted Radiology and Surgery. 2016;11(1):73–88.

  7. Liu S, Xie Y, Jirapatnakul A, Reeves AP. Pulmonary nodule classification in lung cancer screening with three-dimensional convolutional neural networks. Journal of Medical Imaging. 2017;4(4):041308.

  8. Reeves AP, Xie Y, Liu S. Automated image quality assessment for chest CT scans. Medical Physics. 2018;45(2):561–578.

  9. Reeves AP, Kostis WJ. Computer-aided diagnosis for lung cancer. Radiologic Clinics of North America. 2000;38(3):497–509.

Additional Publications

  1. Reeves AP, Prokop RJ, Andrews SE, Kuhl FP. Three-dimensional shape analysis using moments and Fourier descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1988;10(6):937–943.

  2. Lyvers EP, Mitchell OR, Akey ML, Reeves AP. Subpixel measurements using a moment-based edge operator. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1989;11(12):1293–1309.

  3. Willebeek-LeMair MH, Reeves AP. Strategies for dynamic load balancing on highly parallel computers. IEEE Transactions on Parallel and Distributed Systems. 1993;4(9):979–993.

  4. Prokop RJ, Reeves AP. A survey of moment-based techniques for unoccluded object representation and recognition. CVGIP: Graphical Models and Image Processing. 1992;54(5):438–460.

  5. Xu H, Reeves AP, Louge MY. Measurement errors in the mean and fluctuation velocities of spherical grains from a computer analysis of digital images. Review of Scientific Instruments. 2004;75(4):811–819.

  6. Reeves AP, Seibel EJ, Meyer MG, Apanasovich TV, Biancardi AM. Nuclear cytoplasmic cell evaluation from 3D optical CT microscope images. Proceedings of SPIE. 2012;8315:83153C.

  7. Guo S, Xu Y, Scaboro A, Rasul R, Wang Y, Reeves AP, et al. Combustion of n-propylbenzene: Experiments and numerical modeling. Proceedings of the Combustion Institute. 2024;40:105543.