Amin Katouzian
Education
- Ph.D. in Biomedical Engineering, Columbia University, USA
- M.Sc. in Electrical Engineering, Fairleigh Dickinson University, USA
- B.Sc. in Electrical Engineering, Sistan & Baluchestan University, IRAN
Awards
- Volcano Corporation (Rancho Cordova, CA) Fellowship, $78,100, Sep. 2008-Sep. 2010.
- Siemens (Princeton, NJ) Fellowship, $50,000, Jun. 2007-Dec. 2007.
- Boston Scientific (Fremont, CA) Fellowship, $122,500, Jan. 2006-Jun. 2007.
- Colonel Fairleigh S. Dickinson (Teaneck, NJ) Scholarship, $7,500, Jan. 2002-Sep. 2003.
- Third place in North New Jersey IEEE student paper presentation contest, graduate category, Teaneck, NJ, March 2003.
Research Interests
- Computer Aided Surgery and Diagnosis.
- Augmented Reality in Medical Procedures.
- Computer Vision for Medical Applications.
- Multidimensional Cue Extraction and Pattern Recognition.
- Reconstruction, Registration, Visualization, and Segmentation of 2-4D Images.
- Multiresolution Analysis.
- Speech Recognition and Perception.
Active Research Projects
Coming up soon.
Student Projects
Coming up soon.
Reviewer
- Journal of IEEE Transaction on Medical Imaging.
- Journal of IEEE Transaction on Biomedical Engineering.
- Journal of Digital Signal Processing.
- Journal of Computers in Biology and Medicine.
- Journal of Cardiovascular Imaging.
- Journal of Cardiovascular Magnetic Resonance.
- 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)-CVII.
Program Committee
- 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)-CVII.
Invited Talks
- Technical University of Munich, Department of Mathematics, "Applications of multiscale analysis in quantification of atherosclerosis disease," November 10th, 2011.
- Sabanci University (Istanbul, Turkey), Department of Engineering and Natural Sciences, "Quantifying Atherosclerosis: IVUS Imaging For Lumen Border Detection and Plaque Characterization," December 22nd, 2010.
- Volcano Corporation (Sacramento, CA), "Detection of Lumen Border in IVUS images via Three-Dimensional Brushlet Analysis," June 28th, 2009.
Patent
- Amin Katouzian, Elsa D. Angelini, Auranuch Lorsakul, Bernhard Sturm, Andrew F. Laine, “Denoising and Lumen Border Detection of Intravascular Ultrasound via Segmentation of Directional Wavelet Representations,” Serial No. 61/200,987, December 5, 2008.
- Amin Katouzian, Babak Baseri, Elisa E. Konofagou, Andrew F. Laine, “Systems and Methods for Intravascular Tissue Characterization and Border Detection,” International Application No. PCT/US08/72774, August 11, 2008.
- Amin Katouzian, Elisa E. Konofagou, Andrew F. Laine, “Unsupervised Texture-Derived Atherosclerotic Plaque Characterization Algorithm through Backscattered Intravascular Ultrasound Signals,” Serial No. 60/991,508, November 30, 2007.
- Amin Katouzian, Elisa E. Konofagou, Andrew F. Laine, “Intravascular Ultrasound (IVUS) Tissue Characterization and Border Detection through Backscattered Signals by Wavelet Packet Analysis,” Serial No. 60/955,249, August 10, 2007.
Publication
Arash Taki, Alireza Roodaki, Sara Avansari, Ali Bigdelou, Amin Katouzian, Nassir Navab, “New Approaches for plaque component analysis in intravascular ultrasound (IVUS) images,” Book Chapter, Springer, Under publication.
Ali Bigdelou, Amin Katouzian, Nassir Navab, “Model-based visualization of usability data to support analysis in complex domains,” UPA 21st international conference, Henderson, Nevada, USA, 2012.
Amin Katouzian, Elsa D. Angelini, Bernhard Sturm, Andrew F. Laine, “Brushlet-Driven Segmentation Framework for Automatic Detection of Lumen Borders in IVUS Images with Comparison Study,” Accepted for IEEE proceedings of ISBI, 2012.
Athanasios Karamalis, Stephane Carlier, Amin Katouzian, Nassir Navab, “Confidence estimation in IVUS radio-frequency data with random walks,” Accepted for IEEE proceedings of ISBI 2012.
Amin Katouzian, Athanasios Karamalis, Andrew Laine, Nassir Navab, “A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images,” Accepted in Bildverarbeitung für die Medizin 2012, Berlin, Germany.
Amin Katouzian, Stephane Carlier, “Development and performance of a new unsupervised classifier for IVUS-based tissue characterization,” The 31st annual scientific meeting of the Belgian Society of Cardiology, 2012.
Amin Katouzian, Elsa Angelini, Stephane Carlier, Jasjit Suri, Nassir Navab, Andrew Laine, “A State of The Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images,” Accepted in IEEE TITB, special issue on Atherosclerotic Cardiovascular Health Informatics; Risk Screening and Intervention.
Amin Katouzian, Elsa Angelini, Bernhard Sturm, Elisa Konofagou, Stephane Carlier, Andrew Laine, “Applications of Multiscale Overcomplete Wavelet-Based Representations in Intravascular Ultrasound (IVUS) Images,” Ultrasound Imaging; Advances and Applications, Book Chapter, Springer, 2011.
Amin Katouzian, Andrew F. Laine, “Methods in Atherosclerotic Plaque Characterization Using Intravascular Ultrasound (IVUS) Images and Backscattered Signals,” Atherosclerosis Disease Management, Book Chapter, Springer, pp. 121-152, 2010
Amin Katouzian, Elsa D. Angelini, Bernhard Sturm, Andrew F. Laine, “Automatic Detection of Luminal Borders in IVUS Images by Magnitude-Phase Histograms of Complex Brushlet Coefficients”, IEEE proceeding of EMBC, Buenos Aires, Argentina, 2010.
Amin Katouzian, M. Alper Selver, Elsa D. Angelini, Bernhard Sturm, Andrew F. Laine, “Classification of Blood Regions in IVUS Images Using Three Dimensional Brushlet Expansions,” IEEE proceeding of EMBC, Minnesota, 2009.
Amin Katouzian, Elsa D. Angelini, Auranuch Lorsakul, Bernhard Sturm, Andrew F. Laine, “Denoising and Lumen Border Detection of Intravascular Ultrasound via Segmentation of Directional Wavelet Representations,” Functional Imaging and Modeling of the Heart (FIMH), pp. 104 - 113, Nice, France, 2009.
Amin Katouzian, Andrew F. Laine, “Multiscale Overcomplete Wavelet-Based Representations for Classification of Atherosclerotic Plaque Using Backscattered Radiofrequency Intravascular Ultrasound Signals ", (Invited) 34th International Symposium on Ultrasonic Imaging and Tissue Characterization (UITC), 2009.
Amin Katouzian, Babak Baseri, Elisa E. Konofagou, Andrew F. Laine, “Texture-Driven Coronary Artery Plaque Characterization by Wavelet Packet Signatures,” IEEE proceedings of ISBI, Paris, May 2008.
Amin Katouzian, Babak Baseri, Elisa E. Konofagou, Andrew F. Laine, “Automatic Detection of Blood versus non-Blood Regions on Intravascular Ultrasound (IVUS) Images Using Wavelet Packet Signatures,” IEEE proceedings of SPIE, San Diego, Feb. 2008.
Amin Katouzian, Babak Baseri, Elisa E. Konofagou, Andrew F. Laine, “An Alternative Approach to Spectrum-Based Atherosclerortic Plaque Characterization Techniques Using Intravascular Ultrasound (IVUS) Backscattered Signals”, MICCAI-CVII 2008.
Amin Katouzian, Shashidhar Sathyanarayana, Babak Baseri, Elisa E. Konofagou, Stéphane G. Carlier, “Challenges in Atherosclerotic Plaque Characterization with Intravascular Ultrasound (IVUS): From Data Collection to Classification,” IEEE Transaction on Information Technology in Biomedicine, special issue on Intravascular and Intracardiac Imaging, vol. 12, no. 3, pp. 315-327, 2008.
Kaoru Tanaka, Stephane G. Carlier, Amin Katouzian, Gary S. Mintz, “Characterization of the Intravascular Ultrasound Radio frequency Signal within Regions of Acoustic Shadowing Behind Calcium,” Journal of American College of Cardiology, vol. 49, Issue 9, Supp. B, 2007.
Amin Katouzian, Shashidhar Sathyanarayana, Wenguang Li, Tom Thomas, Stéphane G. Carlier, “Challenges in Tissue Characterization from Backscattered Intravascular Ultrasound Signals,” IEEE proceedings of SPIE, San Diego, Feb. 2007.
Stephane G. Carlier, Kaoru Tanaka, Amin Katouzian, “Atherosclerotic Plaque Characterization from Radio Frequency Ultrasound Signal Processing,” US Cardiovascular Disease, Issue I, July 2007.
Amin Katouzian, A. Prakash E. Konofagou, “A New Automated Technique for Left- and Right- Ventricular segmentation in Magnetic Resonance Imaging,” IEEE proceeding of EMBC, New York, 2006.
