Computational Breast Imaging Group - Members

Majid Mahrooghy, Ph.D.

Majid Mahrooghy, Ph.D.

Postdoctoral Researcher

Contact Information:

University of Pennsylvania
School of Medicine
Department of Radiology
3600 Market Street, Suite 360
Philadelphia PA, 19104
Office: 215-615-0819
Fax: 215-349-8972
E-mail: Majid.Mahrooghy@uphs.upenn.edu

Education & Training:

  • Postdoctoral Researcher, Present (University of Pennsylvania)
  • Postdoctoral Associate , Aug 2012 (Geosystems Research Institute (GRI) at Mississippi State University)
  • Ph.D. Electrical Engineering, Dec 2011 (Mississippi State University)
  • M.S. Electrical Engineering, Feb 1999 (Isfahan University of Technology, Iran)
  • B.S. Electrical Engineering, Nov 1995 (Iran University of Science and Technology)

Professional Affiliations: IEEE, ACM

Majid Mahrooghy is Post-doctoral Researcher in the Computational Breast Imaging Group (CBIG) in the Radiology department at the University of Pennsylvania. His research experience includes a broad area of image and signal processing, pattern recognition, machine learning, medical image processing and remote sensing. He also has several years of industrial experience in control and communication systems. He currently works on developing methodologies and techniques for breast tumor segmentation and classification for breast cancer prognosis and treatment. Before joining to CBIG, he developed algorithms and techniques for satellite and airborne imaging applications.

Research Interests:

Developing techniques using advanced image processing and pattern recognition tools to improve breast tumor segmentation and classification, cancer-risk assessment, and treatment effeteness using DCE-MRI images.

Current Research Topics:

Development of DCE-MRI biomarkers as prognostic tumor gene expression for assessing breast cancer recurrence risk.

Professional Affiliations:

  • Tau Beta Pi engineering honor society

Academic Honors and Awards:

  • Outstanding Graduate Student Research award in 2012, Office-of-research (Centers and Institutes), Mississippi State University
  • The Geosystems Research Institute's Graduate Research Assistant of the Year award in May 2012

Peer-Reviewed Journals:

  • Majid Mahrooghy, Nicolas H. Younan, and Valentine G. Anantharaj, James. Aanstoos "Enhancement of Satellite Precipitation Estimate via Unsupervised Dimensionality Reduction," IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no.10, pp. 3931 - 3940, 2012.DOI: 10.1109/TGRS.2012.2189406.
  • Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, J. Aanstoos, and Shantia Yarahmadian "On the Use of the Genetic Algorithm Filter-Based Feature Selection technique for Satellite Precipitation Estimation", IEEE Geoscience and Remote Sensing Letters, vol. 9, no.5, pp. 963-967, 2012.
  • Majid Mahrooghy, Valentine G. Anantharaj, Nicolas H. Younan, J. Aanstoos, and K-L Hsu "On an Enhanced PERSIANN-CCS Algorithm for Precipitation Estimation," Journal of Atmospheric and Oceanic Technology, vol. 29, no. 7, pp. 922-932, 2012.
    DOI:10.1175/JTECH-D-11-00146.1.
  • Majid Mahrooghy, Nicolas H. Younan, Valentine G. Anantharaj, J. Aanstoos, and Shantia Yarahmadian "On The Use of a Cluster Ensemble Cloud Classification Technique in Satellite Precipitation Estimation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, no.5, pp.1356,1363, 2012.
  • Minshan Cui, Saurabh Prasad, Majid Mahrooghy, Jim Aanstoos, Matthew A. Lee, and Lori M. Bruce, "Decision Fusion of Textural Features Derived from Polarimetric Data for Levee Assessment GLCM", " IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.5, no.3, pp.970-976, 2012
  • Majid Mahrooghy, Valentine G. Anantharaj, Nicolas H. Younan, Walter A. Petersen, Kuo Lin Hsu, Ali Behrangi, and James Aanstoos, "Augmenting satellite precipitation estimation with lightning information", International Journal of Remote Sensing, vol.34, no.16, pp. 5796-5811, 2013
  • Rodrigo A. A. Nóbrega, James Aanstoos, Balakrishna Gokaraju, Majid Mahrooghy, Lalitha Dabirru, and Charles G. O'Hara, "mapping weaknesses in the mississippi river levee system using multi-temporal uavsar data," The Brazilian Journal of Cartography, vol. 65, no.4, pp 681-694, 2013

Selected Peer reviewed Conference paper and proceeding:

  • M. Mahrooghy, A. B. Ashraf, D. Daye, C. Mies, M. Feldman, M. Rosen, D. Kontos, "Self-Organizing Map Kinetic Features as Prognostic Markers for Classifying Gene Expression Risk for Breast Cancer Recurrence," ISMRM 2014, Milan, Italy.
  • M. Mahrooghy, A. B. Ashraf, D. Daye, C. Mies, M. Feldman, M. Rosen, D. Kontos, "Sparse Representation of Multi-Parametric DCE-MRI Features using K-SVD for Classifying Gene Expression Based Breast Cancer Recurrence Risk," Proceeding of SPIE Medical Imaging, 2014, San Diego, USA.
  • M. Mahrooghy, A. B. Ashraf, D. Daye, C. Mies, M. Feldman, M. Rosen, D. Kontos, "Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk ," Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, Lecture Notes in Computer Science Volume 8150, 2013, pp 295-302
  • M. Mahrooghy, J. Aanstoos, S. Prasad, N. H. Younan, "On The Land Slide Detection Using TerraSAR-X over Earthen Levees" International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012, XXII ISPRS Congress, 25 August 01 September 2012, Melbourne, Australia
  • L. Dabbiru, J. Aanstoos, M. Mahrooghy, W. Li, A. Shanker, N. H. Younan, "levee anomaly detection using polarimetric synthetic aperture radar data" Proceeding of the Geoscience and Remote Sensing Symposium (IGARSS), 2012IEEE International July 2012.
  • M. Mahrooghy, J. Aanstoos, K. Hasan, S. Prasad, N. H. Younan, "Effect of Vegetation Height and Volume Scattering on Soil Moisture Classification Using Synthetic Aperture Radar Images", Proceeding of 40th IEEE Applied Imagery Pattern Recognition Workshop. Washington, DC, 2011.
  • M. Mahrooghy, N. H. Younan, V. G. Anantharaj, and J. Aanstoos, "High Resolution Satellite Precipitation Estimate Using Cluster Ensemble Cloud Classification," Proceeding of the Geoscience and Remote Sensing Symposium (IGARSS), 2011IEEE International July 2011.
  • M. Mahrooghy, V. G. Anantharaj, N. H. Younan, and J. Aanstoos; "On The Enhancement of Infrared Satellite Precipitation Estimates using Genetic Algorithm Filter-based Feature Selection" Proceeding in the 34th international Symposium for Remote Sensing of Environment, April 2011.
  • M. Mahrooghy, J. Aanstoos, H. Khaled, N. H. Younan, "Levee Soil Moisture Assessment Based On a Backpropagation Neural Network Using Synthetic Aperture Radar Data", Proceeding of the 34th international Symposium for Remote Sensing of Environment, April 2011.
  • M. Cui, P. Saurabh, M. Mahrooghy, L. Bruce, J. Aanstoos, "Genetic Algorithms and Linear Discriminant Analysis based Dimensionality Reduction for Remotely Sensed Image Analysis' ," Proceeding of the Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International July 2011.
  • K. Hasan, J. Aanstoos, M. Mahrooghy, L. Dabbiru, J. B. Dunbar, "Characterizing Mississippi River Levee Segments Using Soils and Geologic Data," Proc. 2011 Symposium on the Application of Geophysics to Environmental and Engineering Problems. Charleston, SC, 2011.
  • M. Mahrooghy, V. G. Anantharaj, N. H. Younan, and J. Aanstoos; "Optimal Wavelet Features for an Infrared Satellite Precipitation Estimate Algorithm," Proceeding of 39th IEEE Applied Imagery Pattern Recognition Workshop. Washington, DC, 2010.
  • M. Mahrooghy, V. G. Anantharaj, N. H. Younan, W. Petersen, J. F. Turk, and J. Aanstoos, "Infrared satellite precipitation estimate using wavelet based cloud classification and radar calibration," Proceeding of the Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International July 2010.
  • J. Aanstoos, K. Hasan, C. O'Hara, S. Prasad, L. Dabbiru, M. Mahrooghy, R. A. A. Nobrega, M. Lee, & B. Shrestha, (2010). Use of Remote Sensing to Screen Earthen Levees. Proceeding of 39th IEEE Applied Imagery Pattern Recognition Workshop. Washington, DC, 2010.
  • M. Mahrooghy, V. G. Anantharaj, N. H. Younan, W. A. Petersen, and F. J. Turk "An adaptive methodology to enhance infrared satellite precipitation estimates using radar observations," Proceedings of the 34th Conference on Radar Meteorology, October 2009.

Selected Conference Abstracts

  • M. Mahrooghy, A. B. Ashraf, S. C. Gavenonis, D. Daye, C. Mies, M. D. Feldman, M.A. Rosen, D. Kontos, "Kinetic Heterogeneity Features on Breast DCE-MRI as Prognostic Markers of Breast Cancer Recurrence," accepted in the 2013 San Antonio Breast Cancer Symposium, San Antonio, USA
  • D. Daye, J. Rowland, A. B. Ashraf, M. Mahrooghy, M. D. Feldman, M. A. Rosen, "Beyond Conventional Diagnostics: The Emerging Role of Quantitative Magnetic Resonance in Breast Cancer Prognostication and Treatment Response Prediction," accepted in Radiological Society of North America (RSNA) annual meeting, Chicago, 2013