Research Output 1980 2019

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Conference contribution
2016

Automated skin thickening extraction in post radiotherapy mammograms via feedforward neural networks using histogram based segmentation and continuous hidden Markov model generated features

Barinov, L., Paster, L., Yue, N., Xiao, Z., Huang, Q. & Goyal, S., Feb 11 2016, 2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings. Institute of Electrical and Electronics Engineers Inc., 7405459. (2015 IEEE Signal Processing in Medicine and Biology Symposium - Proceedings).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Segmental Mastectomy
Feedforward neural networks
Radiotherapy
Hidden Markov models
Surgery

Large area 3-D optical coherence tomography imaging of lumpectomy specimens for radiation treatment planning

Wang, C., Kim, L., Barnard, N. & Pierce, M., Jan 1 2016, Photonic Therapeutics and Diagnostics XII. Mandelis, A., Choi, B., Wong, B. J. F., Ilgner, J. F., Marcu, L., Skala, M. C., Kollias, N., Zeng, H., Kang, H. W., Tearney, G. J., Gregory, K. W. & Campagnola, P. J. (eds.). SPIE, 968946. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9689).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Segmental Mastectomy
Optical tomography
Optical Coherence Tomography
planning
Computer-Assisted Image Processing
2011

Dynamic online registration guided collaborative tracking of lung tumor movement in fluoroscopic videos

Liu, B., Yang, L., Kulikowski, C., Gong, L., Foran, D., Jabbour, S. & Yue, N. J., Nov 2 2011, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. p. 414-418 5 p. 5872435. (Proceedings - International Symposium on Biomedical Imaging).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tumors
Lung
Neoplasms
Sternum
Labels
2010
1 Citation (Scopus)

An adaptive tracking algorithm of lung tumors in fluoroscopy using online learned collaborative trackers

Liu, B., Yang, L., Kulikowski, C., Zhou, J., Gong, L., Foran, D., Jabbour, S. & Yue, N. J., Aug 9 2010, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. p. 209-212 4 p. 5490376. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fluoroscopy
Tumors
Lung
Labeling
Neoplasms
6 Citations (Scopus)

Feature selection and classification of breast cancer on dynamic Magnetic Resonance Imaging by using artificial neural networks

Keivanfard, F., Teshnehlab, M., Shoorehdeli, M. A., Nie, K. & Su, M. Y., Dec 1 2010, 2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings. 5704942. (2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings).

Rutgers, The State University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feature extraction
Magnetic Resonance Imaging
Breast Neoplasms
Neural networks
Databases