James Monaco

Publication Activity (10 Years)

Years Active: 1996-2012
Publications (10 Years): 0

Top Topics

Expectation Maximization

False Positives

Markov Random Field

Image Segmentation

Top Venues

Medical Image Anal.

Publications

James Monaco, Philipp Raess, Ronak Chawla, Adam Bagg, Mitchell Weiss, John Choi, Anant Madabhushi
Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes. ISBI (2012)
James Monaco, Anant Madabhushi
Class-specific weighting for Markov random field estimation: Application to medical image segmentation. Medical Image Anal. 16 (8) (2012)
James Monaco, J. Hipp, D. Lucas, S. Smith, Ulysses J. Balis, Anant Madabhushi
Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei. MICCAI (1) (2012)
James Monaco, Anant Madabhushi
Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations. IEEE Trans. Medical Imaging 30 (7) (2011)
Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinform. 12 (2011)
James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. 14 (4) (2010)
Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. 57 (3) (2010)
Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman
Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI (2010)
Jun Xu, James Monaco, Anant Madabhushi
Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. MICCAI (3) (2010)
James Monaco, John E. Tomaszewski, Michael D. Feldman, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
Probabilistic pairwise Markov models: application to prostate cancer detection. Medical Imaging: Image Processing (2009)
James Monaco, Alan C. Bovik, Lawrence K. Cormack
Active, Foveated, Uncalibrated Stereovision. Int. J. Comput. Vis. 85 (2) (2009)
George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi
A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology. ISBI (2009)
James Monaco, Alan C. Bovik, Lawrence K. Cormack
Nonlinearities in Stereoscopic Phase-Differencing. IEEE Trans. Image Process. 17 (9) (2008)
Jonathan Chappelow, Satish Viswanath, James Monaco, Mark Rosen, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. Medical Imaging: Computer-Aided Diagnosis (2008)
James Monaco, Alan C. Bovik, Lawrence K. Cormack
Epipolar Spaces and Optimal Sampling Strategies. ICIP (6) (2007)
James Monaco, Alan C. Bovik, Lawrence K. Cormack
Epipolar Spaces for Active Binocular Vision Systems. ICIP (6) (2007)
James Monaco, David Holloway, Rajesh Raina
Functional Verification Methodology for the PowerPC 604 Microprocessor. DAC (1996)