Albert Montillo PhD, University of Pennsylvania   Research Scientist GE Global Research Phone: (267) 257-5094

Short bio Research Publications Lectures Professional Service Research Links

Publications

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Manuscripts under review

• < See CV for current list >

Peer-reviewed journals and conferences

• A. Montillo, Context Selective Decision Forests and their application to Lung Segmentation in CT Images, In Proc. of Pulmonary Image Analysis Workshop, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2011.
• A. Montillo, J. Shotton, J. Winn, J. E. Iglesias, D. Metaxas, A. Criminisi, Entangled Decision Forests and their Application for Semantic Segmentation of CT Images, IPMI, 2011.
• J. E. Iglesias, E. Konukoglu, A. Montillo, Z. Tu, A. Criminisi, Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning, IPMI, 2011.
• A. Montillo, J. Shotton, J. Winn, A. Criminisi, S. Pathak, K. Siddiqui, Automatic semantic segmentation of anatomical structures in CT scans, In Proc of Radiological Society of North America (RSNA), 2010 .
• A. Montillo, D. Metaxas, L. Axel, Incompressible biventricular model construction and heart segmentation of 4D tagged MRI, In Proc. of Medical Image Computing and Computer-Assisted Intervention (MICCAI), Computational Biomechanics for Medicine Workshop, 2010.
• A. Montillo, H. Ling, Age Regression from Faces using Random Forests, In Proc. of International Conf on Image Processing (ICIP), November 2009.
• L. Axel, A. Montillo , D. Kim, Tagged Magnetic Resonance Imaging of the Heart, Medical Image Analysis, volume 9, pages 376-393, 2005.
• K. Park , A. Montillo , D. Metaxas, L. Axel, An Anatomical Heart Model for Segmentation, Analysis and Classification, Communications of the ACM, pages 43-48, February, 2005.
• A. Montillo, L. Axel, D. Metaxas, Extracting tissue deformation using Gabor filter banks, In Proc. of SPIE: Medical Imaging , volume 5369, pages 1-9, 2004. Oral, acceptance rate: 43%.
• A. Montillo, D. Metaxas, L. Axel, Automated deformable model-based segmentation of the left and right ventricles in tagged cardiac MRI, In Proc. of Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume LCNS 2878, pages 507-515, 2003.
• A. Montillo, J. Udupa, L. Axel, D. Metaxas, Interaction between noise suppression and inhomogeneity correction in MRI , In Proc. of SPIE: Medical Imaging, volume 5032, pages 1025-1036, 2003. Among top 3% of papers.First place award.
• Z. Qian, A. Montillo, D. Metaxas, L. Axel, Segmenting Cardiac MRI Tagging Lines using Gabor Filter Banks, In Proc. of International Conference of the Engineering in Medicine and Biology Society (EMBS), pages 630-633, 2003.
• D. Metaxas, L. Axel, Z. Hu, A. Montillo, K. Park, Z. Qian, Segmentation and Analysis of 3D Cardiac Motion from Tagged MRI images, In Proc. of International Conference of the Engineering in Medicine and Biology Society (EMBS), pages 122-125, 2003.
• A. Montillo, D. Metaxas, L. Axel, Automated segmentation of the left and right ventricles in 4D cardiac SPAMM images, In Proc. of Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume LCNS 2488,pages 620-633, 2002. Oral, acceptance rate: 13%.
• Fischl, B., Salat, D., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., Montillo, A. , Makris, N., Rosen, B., and Dale, A., Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain , Neuron, volume 33, pages 341-355, 2002. [my contribution: Developed algorithm and code which demonstrated the proof of concept and led to the application to Alzheimer's disease detection documented in this article. ]

Conference abstracts

• T. Manglik, L. Axel, V. Pai, D. Kim, P. Dugal, A. Montillo , Z. Qian, Use of Bandpass Gabor Filters for Enhancing Blood-Myocardium Contrast in tagged MR images, In Proc. of International Society for Magnetic Resonance In Medicine (ISMRM) , 2004.
• A. Montillo, L. Axel, D. Metaxas, Automated correction of background intensity variation and image scale standardization in 4D cardiac SPAMM-MRI, In Proc. of International Society for Magnetic Resonance in Medicine (ISMRM), 2003. Oral, acceptance rate: 22%.

Technical reports

• A. Montillo, Nonlinear dimensionality reduction: a comparison of state-of-the-art methods, 2008.
• A. Montillo, Image-based biomarkers to streamline clinical trials, Created for and presented to Professor Nick Bryan (Chair of Radiology Dept), and Professor Mitch Schnall (Assoc. Chair of Research). Includes the identification of new venture opportunities. First new venture: Quantaviz, Inc., 2008.
• A. Montillo, The Clinical Imaging Markets: analysis of procedure volumes in U.S. Hospitals, 2007.
• A. Montillo with A. Budhian, D. Hom, A. Kurji, S. Seyffert, W. Shen, A development strategy for clinical imaging biomarkers: with an application to polymersomes, 2006
• A. Montillo, Shape Priors in Medical Image Analysis: Extensions of the Level Set Method, University of Pennsylvania Technical Report # MS-CIS-02-08. Reviewers: Professors Jean Gallier, James Gee, and Dimitri Metaxas, 2002.
• A. Montillo, Brain registration along eigen-deformation modes, University of Pennsylvania, 2001.
• A. Montillo, Implicit 3D curvature: a new speed term for the Level Set method, Yale University, 1999

Theses

• A. Montillo, Automated volumetric model construction and dynamic segmentation of the heart ventricles, Ph.D. Thesis, Computer and Information Science Department, University of Pennsylvania, 2004.
• A. Montillo, A framework for the visualization of 3D deformable models, Masters Thesis, Computer Science Department, Rensselaer Polytechnic Institute, 1993.

Issued, United States Patents

• A. Montillo with I. Bachelder, Methods for identifying regions of similar texture in an image. US Patent 6647132.

  This method uses spatial frequency analysis to construct a feature vector for every pixel, including: frequency spectrum, power spectrum, and angles of dominant powers, then integrates the information to segment regions of similar texture.

• A. Montillo with V. Gopalakrishnan, I. Bachelder, Methods for determining the orientation of an object in an image. US Patent 6898333.

  This method rapidly and accurately estimates the orientation of an N-D object by processing the patterns in its spatial frequency transform using a non-linear scaling and Hough-line finding.

• A. Montillo with V. Gopalakrishnan, I. Bachelder, Methods for generating a model of an object from an image of the object. US Patent 6813377.

  This algorithm precisely estimates the dimensions of an object by processing projected, accumulated intensity profiles using an edge attribute score function.

• A. Montillo with I. Bachelder, C. Marrion, Methods for refining a geometric description of an object having a plurality of extensions. US Patent 6526165.

  This method refines a given, rough geometric description of an object using a hierarchical estimation of object feature dimensions and projected, accumulated intensity profiles.

• A. Montillo with I. Bachelder, C. Marrion, Methods for measuring an extent of a group of objects within an image. US Patent 6571006.

  This algorithm reliably estimates of the width of a group of similar objects using an adaptive, multi-resolution strategy to fit a positional tolerance signature to all object edges simultaneously.